>>Welcome to the customer. Obsession begins with data session. Uh, thank you for, for attending. Um, at Cloudera, we believe that a custom session begins with, uh, with, with data. Um, and, uh, you know, financial services is Cloudera is largest industry vertical. We have approximately 425 global financial services customers, uh, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks, uh, four out of the five, uh, top stock exchanges, eight out of the 10 top wealth management firms and all four of the top credit card networks. Uh, so as you can see most financial services institutions utilize Cloudera for data analytics and machine learning. Uh, we also have over 20 central banks and it doesn't or so financial regulators. So it's an incredible footprint, which glimpse Cloudera, lots of insight into the many innovations that our customers are coming in up >>With >>Customers have grown more independent and demanding. Uh, they want the ability to perform many functions on their own and, uh, be able to do it. Uh, he do them on their mobile devices, uh, in a recent Accenture study, more than 50% of customers, uh, are focused on, uh, improving their customer experience through more personalized, uh, offers in advice. The study found that 75% of people are actually willing to share their data for better personalized offers and more efficient and intuitive of services >>Together. And >>A better understanding of your customers use all the data available to develop a complete view of your customer and, uh, and better serve them. Uh, this also breaks down, uh, costly silos, uh, shares data in, in accordance with privacy laws and assists with regulatory adherence. So different and organizations are going to be at different points in their data analytics and AI journey. Uh, there are several degrees of streaming and batch data, both structured and unstructured. Uh, you need a platform that can handle both, uh, with common, with a common governance layer, um, near real time and real real-time sources help make data more relevant. So if you look at this graphic, looking at it from left to right, uh, normal streaming and batch data comes from core banking and, uh, and lending operations data in pretty much a structured format as financial institutions start to evolve. >>Uh, they start to ingest near real-time streaming that comes not only from customers, but also from, from newsfeeds for example, and they start to capture more behavioral data that they can use to evolve their models, uh, and customer experience. Uh, ultimately they start to ingest more real-time streaming data, not only, um, standard, uh, sources like market and transaction data, but also alternative sources such as social media and connected sources, such as wearable devices, uh, giving them more, more data, better data, uh, to extract intelligence and drive personalized actions based on data in real time at the right time, um, and use machine learning and AI, uh, to drive anomaly detection and protect and predict, uh, present potential outcomes. >>So this >>Is another way to look at it. Um, this slide shows the progression of the big data journey as it relates to a customer experience example, um, the dark blue represents, um, visibility or understanding your customer. So we have a data warehouse and are starting to develop some analytics, uh, to know your customer and start to provide a better customer 360 experience. Uh, the medium blue area, uh, is, uh, customer centric or where we learn, uh, the customer's behavior. Uh, at this point we're improving our analytics, uh, gathering more customer centric information to perform, uh, some more exploratory, uh, data sciences. And we can start to do things like cross sell or upsell based on the customer's behavior, which should improve, uh, customer retention. The light blue area is, uh, is proactive customer inter interactions or where we now have the ability, uh, to predict customers needs and wants and improve our interaction with the customer, uh, using applied machine learning and, and AI, uh, clap the Cloudera data platform. >>Um, you know, business use cases require enabling, uh, the end-to-end journey, which we referred to as the data life cycle, uh, what the data life cycle, what is the data life cycle that our customers want to take their data through to enable the end-to-end data journey. If you ask our customers, they want different types of analytics, uh, for their diverse user bases to, to help them implement their, their, their use cases while managed by a centralized security and governance later layer. Uh, in other words, um, the data life cycle to them provides multifunction analytics, uh, at each stage within the data journey, uh, that, uh, integrated and centralized, uh, security, uh, and governance, for example, uh, enterprise data consists of real-time and transactional type type data. Examples include, uh, clickstream data, web logs, um, machine generated, data chatbots, um, call center interactions, uh, transactions, uh, within legacy applications, market data, et cetera. >>We need to manage, uh, that data life cycle, uh, to provide real enterprise data insights, uh, for use cases around enhance them personalized customer experience, um, customer journey analytics, next best action, uh, sentiment and churn analytics market, uh, campaign optimization, uh, mortgage, uh, processing optimization and so on. Um, we bring a diverse set of data then, um, and then enrich it with other data about our customers and products, uh, provide reports and dashboards such as customer 360 and use predictions from machine learning models to provide, uh, business decisions and, and offers of, uh, different products and services to customers and maintain customer satisfaction, um, by using, um, sentiment and turn analytics. These examples show that, um, the whole data life cycle is involved, um, and, uh, is in continuous fashion in order to meet these types of use cases, uh, using a single cohesive platform that can be, uh, that can be served by CDP, uh, the data, the Cloudera data platform. >>Okay. Let's, uh, let's talk about, uh, some of the experiences, uh, from our customers. Uh, first we'll talk about Bunco, something there. Um, Banco Santander is a major global bank headquartered in Spain, uh, with, uh, major operations and subsidiaries all over Europe and north and, and south America. Uh, one of its subsidiary, something there UK wanted to revolutionize the customer experience with the use of real-time data and, uh, in app analytics, uh, for mobile users, however, like many financial institutions send them there had a, he had a, had a large number of legacy data warehouses spread across many business use, and it's within consistent data and different ways of calculating the same metrics, uh, leading to different results. As a result, the company couldn't get the comprehensive customer insights it needed. And, uh, and business staff often worked on multiple versions of the truth. Sometimes there worked with Cloudera to improve a single data platform that could support all its workloads, including self-service analytics, uh, operational analytics and data science processes in processing 10 million transactions, daily or 30,000 transactions per second at peak times. >>And, uh, bringing together really, uh, nearly two to two petabytes of data. The platform provides unprecedented, uh, customer insight and business value across the organization, uh, over 80 cents. And Dera has realized impressive, uh, benefits spanning, uh, new revenues, cost savings and risk reductions, including creating analytics for, for corporate customers with near real-time shopping behavior, um, and, and helping identify 7,000 new corporate, uh, customer prospects, uh, reducing capital expenditures by, uh, 3.2 million annually and decreasing operating expenses by, uh, 650,000, um, enabling marketing to realize, uh, 2.4 million in annual savings on, on cash back on commercial transactions, um, and protecting 3.7 million customers from financial crime impacts through 95, new proactive control alerts, improving risk and capital calculations to reduce the amount of money. It must set aside, uh, as part of a, as part of risk mandates. Uh, for example, in one instance, the risk team was able to release a $5.2 million that it had withheld for non-performing credit card loans by properly identifying healthy accounts miscategorized as high risk next, uh, let's uh, talk about, uh, Rabo bank. >>Um, Rabobank is one of the largest banks in the Netherlands, uh, with approximately 8.3 million customers. Uh, it was founded by farmers in the late 19th century and specializes in agricultural financing and sustainability oriented banking, uh, in order to help its customers become more self-sufficient and, uh, improve their financial situations such as debt settlement, uh, rebel bank needed to access, uh, to a varied mix of high quality, accurate, and timely customer data, the talent, uh, to provide this insight, however, was the ability to execute sophisticated and timely data analytics at scale Rabobank was also faced with the challenge of, uh, shortening time to market. Uh, it needed easier access to customer data sets to ensure that they were using and receiving the right financial support at the right time with, with, uh, data quality and speed of processing. Um, highlighted as two vital areas of improvement. Robert bank was looking to incorporate, um, or create new data in an environment that would not only allow the organization to create a centralized repository of high quality data, but also allow them to stream and, uh, conduct data analytics on the fly, uh, to create actionable insights and deliver a strong customer service experience. >>Rabobank >>Leverage Cloudera due to its ability to cope with heavy pressures on data processing and its capability of ingesting large quantities of real-time streaming data. They were able to quickly create a new data lake that allowed for faster queries of both historical and real-time data to analyze customer loan repayment patterns, uh, to up to the minute transaction records, um, Robert bank and, and its customers could now immediately access, uh, the valuable data needed to help them understand, um, the status of their financial situation, this enabled, uh, rebel bank to spot financial disasters before they happened, enabling them to gain deep and timely insights into which customers were at risk of defaulting on loans. Um, having established the foundation of a modern data architecture Rabobank is now able to run sophisticated machine learning algorithms and, uh, financial models, uh, to help customers manage, um, financial, uh, obligations, um, including, uh, loan repayments, and are able to generate accurate, uh, current liquidity overviews, uh, no next, uh, let's, uh, speak about, um, uh, OVO. >>Uh, so OVO is the leading digital payment rewards and financial services platform in Indonesia, and is present in 115 million devices across the company across the country. Excuse me. Um, as the volume of, of products, uh, within Obos ecosystem increases, the ability to ensure marketing effectiveness is critical to avoid unnecessary waste of time and resources, unlike competitors, uh, banks, w which use traditional mass marketing, uh, to reach customers over, oh, decided to embark on a, on a bold new approach to connect with customers via a ultra personalized marketing, uh, using the stack, the team at OVO were able to implement a change point detection algorithm, uh, to discover customer life stage changes. This allowed OVO, uh, to, uh, build a segmentation model of one, uh, the contextual offer engine Bill's recommendation algorithms on top of the product, uh, including collaborative and context-based filters, uh, to detect changes in consumer consumption >>Patterns. >>As a result, OVO has achieved a 15% increase in revenue, thanks to this, to this project, um, significant time savings through automation and eliminating the chance of human error and have reduced engineers workloads by, by 30%. Uh, next let's talk about, uh, bank Bri, uh, bank Bri is one of the largest and oldest, uh, banks in Indonesia, um, engaging in, in general banking services, uh, for its customers. Uh, they are headquartered in, in Jakarta Indonesia, uh, BR is a well-known, uh, for its, uh, focused on financing initiative initiatives and serves over 75 million customers through its more than 11,000 offices and rural outposts, >>Um, Bri >>Needed to gain better understanding of their customers and market, uh, to improve the efficiency of its operations, uh, reduce losses from non-performing loans and address the rising concern around data security from regulators and consumers, uh, through enhanced fraud detection. This would require the ability to analyze vast amounts of, uh, historical financial data and use those insights, uh, to enhance operations and, uh, deliver better service. Um, Bri used Cloudera's enterprise data platform to build an agile and reliable, uh, predictive augmented intelligence solution. Uh, Bri was now able to analyze 124 years worth of historical financial data and use those insights to enhance its operations and deliver better services. Um, they were able to, uh, enhance their credit scoring system, um, the solution analyzes customer transaction data, and predicts the probability of a customer defaulting on, on payments. Um, the following month, it also alerts Bri's loan officers, um, to at-risk customers, prompting them to take the necessary action to reduce the likelihood of a Vanette profit lost. Uh, this resulted in improved credits in, in improved, uh, credit scoring system, uh, that cut down the approval of micro financing loans, uh, from two weeks to two days to two minutes and, uh, enhanced, uh, fraud detector. >>All right. Uh, this example shows a tabular representation, uh, the evolution of a customer retention use case, um, the evolution of data and analytics, uh, journey that, uh, that for that use case, uh, from aware, uh, text flirtation, uh, to optimization, to being transformative, uh, with every level, uh, data sources increase. And, uh, for the most part, uh, are, are less, less standard, more dynamic and less structured, but always adding more value, more insights into the customer, uh, allowing us to continuously improve our analytics, increase the velocity of the data we ingest, uh, from, from batch, uh, to, uh, near real time, uh, to real-time streaming, uh, the volume of data we ingest continually increases and we progress, uh, the value of the data on our customers, uh, is continuously improving, allowing us to interact more proactively and more efficiently. And, and with that, um, I would, uh, you know, ask you to consider an assess if you are using all the, uh, the data available to understand, uh, and service your customers, and to learn more about, about this, um, you know, visit cloudera.com and schedule a meeting with Cloudera to learn more. And with that, thank you for your time. And thank you for listening.

(upbeat music) >> Hi, I'm Joe Rodriguez, Managing Director of Financial Services at Cloudera. Welcome to the Fight Fraud with Data session. At Cloudera we believe that fighting fraud begins with data. So financial services is Cloudera's largest industry vertical. We have approximately 425 global financial services customers, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks. Four out of the five top stock exchanges, eight out of the top 10 wealth management firms and all four of the top credit card networks. So as you can see, most financial services institutions utilize Cloudera for data analytics and machine learning. We also have over 20 central banks and a dozen or so financial regulators. So it's an incredible footprint which gives Cloudera lots of insight into the many innovations that our customers are coming up with. Criminals can steal thousands of dollars before a fraudulent transaction is detected. So the cost to purchase your account data is well worth the price to fraudsters. According to Experian, credit and a debit card account information sells on the dark web for a mere $5 with the CVV number and up to $110 if it comes with all the bank information, including your name, social security number, date of birth, complete account numbers, and other personal data. Our customers have several key data and analytics challenges when it comes to fighting financial crime. The volume of data that they need to deal with is huge and growing exponentially. All this data needs to be evaluated in real time. There are new sources of streaming data that need to be integrated with existing legacy data sources. This includes biometrics data and enhanced authentication video surveillance, call center data, and of course all that needs to be integrated with existing legacy data sources. There is an analytics Arms Race between the banks and the criminals, and the criminal networks never stop innovating. They also have to deal with disjointed security and governance. Security and governance policies are often set per data source or application requiring redundant work across workloads. And they have to deal with siloed environments. The specialized nature of platforms and people results in disparate data sources and data management processes. This duplicates efforts and divides the business risk and crime teams, limiting collaboration opportunities between them. CDP enhances financial crime solutions to be holistic by eliminating data gaps between siloed solutions, with an enterprise data approach, advanced data analytics and machine learning. By deploying an enterprise wide data platform, you reduce siloed divisions between business risk and crime teams and enable better collaboration through industrialized machine learning, you tighten up the loop between detection and new fraud patterns. Cloudera provides the data platform on which a best of breed applications can run and leverage integrated machine learning. Cloudera stands rather than replaces your existing fraud modeling applications. So Oracle, SAS, Actimize, to name a few, integrate with an enterprise data hub to scale the data, increase speed and flexibility and improve efficacy of your entire fraud system. It also centralizes the fraud workload on data that can be used for other use cases in applications like Enhanced KYC and Customer 360 for example. I just wanted to highlight a couple of our partners in financial crime prevention, Simudyne and Quantexa. So Simudyne provides fraud simulation using agent-based modeling machine learning techniques to generate synthetic transaction data. This data simulates potential fraud scenarios in a cost-effective GDPR-compliant virtual environment to significantly improve financial crime detection systems. Simudyne identifies future fraud topologies for millions of simulations that can be used to dynamically train new machine learning algorithms for enhanced identification. And Quantexa connects the dots within your data using dynamic entity resolution, and advanced network analytics to create context around your customers. This enables you to see the bigger picture and automatically assesses potential criminal behavior. Now let's go over some of our customers and how they're using Cloudera. First, we'll talk about United Overseas Bank or UOB. UOB is a leading full service bank in Asia with a network of more than 500 offices in 19 countries and territories, in Asia Pacific, Western Europe and North America. UOB built a modern data platform on Cloudera that gives it the flexibility and speed to develop new AI and machine learning solutions and to create a data-driven enterprise. UOB set up it's big data analytics center in 2017. It was Singapore's first centralized big data unit within a bank to deepen the bank's data analytic capabilities and to use data insights to enhance the bank's performance. Essential to this work was implementing a platform that could cost efficiently bring together data from dozens of separate systems and incorporate a range of unstructured data, including voice and text. Using Cloudera CDP and machine learning, UOB gained a richer understanding of its customer preferences to help make their banking experience simpler, safer, and more reliable. Working with Cloudera, UOB has a big data platform that gives business staff and data scientists, faster access to relevant and quality data for self-service analytics, machine learning and emerging artificial intelligence solutions. With new self-service analytics and machine learning driven insights, UOB has realized improvements in digital banking, asset management, compliance, AML, and more. Advanced AML detection capabilities, help analysts detect suspicious transactions either based on hidden relationships of shell companies and high risk individuals with Cloudera and machine learning technologies, UOB was able to enhance AML detection and reduce the time to identify new links from months to three weeks. Next, let's speak about MasterCard. So MasterCard's principle business is to process payments between banks and merchants and the credit issuing banks and credit unions of the purchasers who use the MasterCard brand debit and credit cards to make purchases. MasterCard chose Cloudera Enterprise for fraud detection and to optimize their DW infrastructure, delivering deep insights and best practices and big data security and compliance. Next, let's speak about Bank Rakyat in Indonesia or BRI. BRI is one of the largest and oldest banks in Indonesia and engages in the provision of general banking services. It's headquartered in Jakarta, Indonesia. BRI is well-known for its focus on microfinancing initiatives and serves over 75 million customers through its more than 11,000 offices and rural service outposts. BRI required better insight to understand customer activity and identify fraudulent transactions. The bank needed a solid foundation that allowed it to leverage the power of advanced analytics, artificial intelligence, and machine learning to gain better understanding of customers and the market. BRI used Cloudera Enterprise data platform to build an agile and reliable, predictive augmented intelligence solution to enhance its credit scoring system. And to address the rising concern around data security from regulators and customers, BRI developed a real-time fraud detection service powered by Cloudera and Kafka, BRI's data scientists developed a machine learning model for fraud detection by creating a behavioral scoring model based on customer savings, loan transactions, deposits, payroll and other financial real-time data. This led to improvements in its fraud detection and credit scoring capabilities, as well as the development of a new digital microfinancing product. With the enablement of real-time fraud detection, BRI was able to reduce the rate of fraud by 40%. It improved relationship manager productivity by two and a half fold. It improved the credit scoring system to cut down on micro-financing loan processing times from two weeks to two days to now two minutes. So fraud prevention is a good area to start with data focus if you haven't already. It offers a quick return on investment and it's a focused area that's not too entrenched across the company. To learn more about fraud prevention, go to www.cloudera.com, and you should schedule a meeting with Cloudera to learn even more. And with that, thank you for listening and thank you for your time. (upbeat music)

>>Uh, hi, I'm Joe Rodriguez, managing director of financial services at Cloudera. Uh, welcome to the fight fraud with a data session, uh, at Cloudera, we believe that fighting fraud with, uh, uh, begins with data. Um, so financial services is Cloudera's largest industry vertical. We have approximately 425 global financial services customers, uh, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks, uh, four out of the five top, uh, stock exchanges, uh, eight out of the top 10 wealth management firms and all four of the top credit card networks. So as you can see most financial services institutions, uh, utilize Cloudera for data analytics and machine learning, uh, we also have over 20 central banks and a dozen or so financial regulators. So it's an incredible footprint which gives Cloudera lots of insight into the many innovations, uh, that our customers are coming up with. Uh, criminals can steal thousands of dollars before a fraudulent transaction is detected. So the cost of, uh, to purchase a, your account data is well worth the price to fraudsters. Uh, according to Experian credit and debit card account information sells on the dark web for a mere $5 with the CVV number and up to $110. If it comes with all the bank information, including your name, social security number, date of birth, uh, complete account numbers and, and other personal data. >>Um, our customers have several key data and analytics challenges when it comes to fighting financial crime. The volume of data that they need to deal with is, is huge and growing exponentially. Uh, all this data needs to be evaluated in real time. Uh, there is, uh, there are new sources of, of streaming data that need to be integrated with existing, uh, legacy data sources. This includes, um, biometrics data and enhanced, uh, authentication, uh, video surveillance call center data. And of course all that needs to be integrated with existing legacy data sources. Um, there is an analytics arms race between the banks and the criminals and the criminal networks never stop innovating. They also we'll have to deal with, uh, disjointed security and governance, security and governance policies are often set per data source, uh, or application requiring redundant work, work across workloads. And, and they have to deal with siloed environments, um, the specialized nature of platforms and people results in disparate data sources and data management processes, uh, this duplicates efforts and, uh, divides the, the business risk and crime teams, limiting collaboration opportunities between CDP enhances financial crime solutions, uh, to be holistic by eliminating data gaps between siloed solutions with, uh, an enterprise data approach, uh, advanced, uh, data analytics and machine learning, uh, by deploying an enterprise wide data platform, you reduce siloed divisions between business risk and crime teams and enable better collaboration through industrialized machine learning. >>Uh, you tighten up the loop between, uh, detection and new fraud patterns. Cloudera provides the data platform on which a best of breed applications can run and leverage integrated machine learning cloud Derrick stands rather than replaces your existing fraud modeling applications. So Oracle SAS Actimize to, to name a few, uh, integrate with an enterprise data hub to scale the data increased speed and flexibility and improve efficacy of your entire fraud system. It also centralizes the fraud workload on data that can be used for other use cases in applications like enhanced KYC and a customer 360 4 example. >>I just, I wanted to highlight a couple of our partners in financial crime prevention, uh, semi dine, and Quintex, uh, uh, so send me nine provides fraud simulation using agent-based modeling, uh, machine learning techniques, uh, to generate synthetic transaction data. This data simulates potential fraud scenarios in a cost-effective, uh, GDPR compliant, virtual environment, significantly improved financial crime detection systems, semi dine identifies future fraud topologies, uh, from millions of, of simulations that can be used to dynamically train, uh, new machine learning algorithms for enhanced fraud identification and context, um, uh, connects the dots within your data, using dynamic entity resolution, and advanced network analytics to create context around your customers. Um, this enables you to see the bigger picture and automatically assesses potential criminal beads behavior. >>Now let's go some of our, uh, customers, uh, and how they're using cloud caldera. Uh, first we'll talk about, uh, United overseas bank, or you will be, um, you'll be, is a leading full service bank in, uh, in Asia. It, uh, with, uh, a network of more than 500 offices in, in 19 countries and territories in Asia, Pacific, Western Europe and north America UA, um, UOB built a modern data platform on Cloudera that gives it the flexibility and speed to develop new AI and machine learning solutions and to create a data-driven enterprise. Um, you'll be set up, uh, set up it's big data analytics center in 2017. Uh, it was Singapore's first centralized big data unit, uh, within a bank to deepen the bank's data analytic capabilities and to use data insights to enhance, uh, the banks, uh, uh, performance essential to this work was implementing a platform that could cost efficiently, bring together data from dozens of separate systems and incorporate a range of unstructured data, including, uh, voice and text, um, using Cloudera CDP and machine learning. >>UOB gained a richer understanding of its customer preferences, uh, to help make their, their banking experience simpler, safer, and more reliable. Working with Cloudera UOB has a big data platform that gives business staff and data scientists faster access to relevant and quality data for, for self-service analytics, machine learning and, uh, emerging artificial intelligence solutions. Um, with new self-service analytics and machine learning driven insights, you'll be, uh, has realized improvements in, in digital banking, asset management, compliance, AML, and more, uh, advanced AML detection capabilities, help analysts detect suspicious transactions either based on hidden relationships of shell companies and, uh, high risk individuals, uh, with, uh, Cloudera and machine learning, uh, technologies. You you'll be, uh, was able to enhance AML detection and reduce the time to identify new links from months 2, 3, 3 weeks. >>Excellent mass let's speak about MasterCard. So MasterCard's principle businesses to process payments between banks and merchants and the credit issuing banks and credit unions of the purchasers who use the MasterCard brand debit and credit cards to make purchases MasterCard chose Cloudera enterprise for fraud detection, and to optimize their DW infrastructure, delivering deepens insights and best practices in big data security and compliance. Uh, next let's speak about, uh, bank Rakka yet, uh, in Indonesia or Bri. Um, it, VRI is one of the largest and oldest banks in Indonesia and engages in the provision of general banking services. Uh, it's headquartered in Jakarta Indonesia. Uh, Bri is well known for its focus on financing initiatives and serves over 75 million customers through it's more than 11,000 offices and rural service outposts. Uh, Bri required better insight to understand customer activity and identify fraudulent transactions. Uh, the bank needed a solid foundation that allowed it to leverage the power of advanced analytics, artificial intelligence, and machine learning to gain better understanding of customers and the market. >>Uh, Bri used, uh, Cloudera enterprise data platform to build an agile and reliable, predictive augmented intelligence solution, uh, to enhance its credit scoring system and to address the rising concern around data security from regulators, uh, and customers, uh, Bri developed a real-time fraud detection service, uh, powered by Cloudera and Kafka. Uh, Bri's data scientists developed a machine learning model for fraud detection by creating a behavioral scoring model based on customer savings, uh, loan transactions, deposits, payroll and other financial, um, uh, real-time time data. Uh, this led to improvements in its fraud detection and credit scoring capabilities, as well as the development of a, of a new digital microfinancing product, uh, with the enablement of real-time fraud detection, VRI was able to reduce the rate of fraud by 40%. Uh, it improved, uh, relationship manager productivity by two and a half fold. Uh, it improved the credit score scoring system to cut down on micro-financing loan processing times from two weeks to two days to now two minutes. So fraud prevention is a good area to start with a data focus. If you haven't already, it offers a quick return on investment, uh, and it's a focused area. That's not too entrenched across the company, uh, to learn more about fraud prevention, uh, go to kroger.com and to schedule, and you should schedule a meeting with Cloudera, uh, to learn even more. Uh, and with that, thank you for listening and thank you for your time. >>Welcome to the customer. Obsession begins with data session. Uh, thank you for, for attending. Um, at Cloudera, we believe that a custom session begins with, uh, with, with data, um, and, uh, you know, financial services is Cloudera is largest industry vertical. We have approximately 425 global financial services customers, uh, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks, uh, four out of the five top stock exchanges, eight out of the 10 top wealth management firms and all four of the top credit card networks. Uh, so as you can see most financial services institutions utilize Cloudera for data analytics and machine learning. Uh, we also have over 20 central banks and it doesn't or so financial regulators. So it's an incredible footprint, which glimpse Cloudera, lots of insight into the many innovations that our customers are coming up with. >>Customers have grown more independent and demanding. Uh, they want the ability to perform many functions on their own and, uh, be able to do it. Uh, he do them on their mobile devices, uh, in a recent Accenture study, more than 50% of customers, uh, are focused on, uh, improving their customer experience through more personalized offers and advice. The study found that 75% of people are actually willing to share their data for better personalized offers and more efficient and intuitive services to get it better, better understanding of your customers, use all the data available to develop a complete view of your customer and, uh, and better serve them. Uh, this also breaks down, uh, costly silos, uh, shares data in, in accordance with privacy laws and assists with regulatory advice. It's so different organizations are going to be at different points in their data analytics and AI journey. >>Uh, there are several degrees of streaming and batch data, both structured and unstructured. Uh, you need a platform that can handle both, uh, with common, with a common governance layer, um, near real time. And, uh, real-time sources help make data more relevant. So if you look at this graphic, looking at it from left to right, uh, normal streaming and batch data comes from core banking and, uh, and lending operations data in pretty much a structured format as financial institutions start to evolve. Uh, they start to ingest near real-time streaming data that comes not only from customers, but also from, from newsfeeds for example, and they start to capture more behavioral data that they can use to evolve their models, uh, and customer experience. Uh, ultimately they start to ingest more real time streaming data, not only, um, standard, uh, sources like market and transaction data, but also alternative sources such as social media and connected sources, such as wearable devices, uh, giving them more, more data, better data, uh, to extract intelligence and drive personalized actions based on data in real time at the right time, um, and use machine learning and AI, uh, to drive anomaly detection and protect and predict, uh, present potential outcomes. >>So this is another way to look at it. Um, this slide shows the progression of the big data journey as it relates to a customer experience example, um, the dark blue represents, um, visibility or understanding your customer. So we have a data warehouse and are starting to develop some analytics, uh, to know your customer and start to provide a better customer 360 experience. Uh, the medium blue area, uh, is a customer centric or where we learn, uh, the customer's behavior. Uh, at this point we're improving our analytics, uh, gathering more customer centric information to perform, uh, some more exploratory, uh, data sciences. And we can start to do things like cross sell or upsell based on the customer's behavior, which should improve, uh, customer retention. The light blue area is, uh, is proactive customer inter interactions, or where we now have the ability, uh, to predict customers needs and wants and improve our interaction with the customer, uh, using applied machine learning and, and AI, uh, the Cloudera data platform, um, you know, business use cases require enabling, uh, the end-to-end journey, which we referred to as the data life cycle, uh, what the data life cycle, what is the data life cycle that our customers want, uh, to take their data through, to enable the end to end data journey. >>If you ask our customers, they want different types of analytics, uh, for their diverse user bases to help them implement their, their, their use cases while managed by a centralized security and governance later layer. Uh, in other words, um, the data life cycle to them provides multifunction analytics, uh, at each stage, uh, within the data journey, uh, that, uh, integrated and centralized, uh, security, uh, and governance, for example, uh, enterprise data consists of real time and transactional type type data. Examples include, uh, click stream data, web logs, um, machine generated, data chat bots, um, call center interactions, uh, transactions, uh, within legacy applications, market data, et cetera. We need to manage, uh, that data life cycle, uh, to provide real enterprise data insights, uh, for use cases around enhanced them, personalized customer experience, um, customer journey analytics next best action, uh, sentiment and churn analytics market, uh, campaign optimization, uh, mortgage, uh, processing optimization and so on. >>Um, we bring a diverse set of data then, um, and then enrich it with other data about our customers and products, uh, provide reports and dashboards such as customer 360 and use predictions from machine models to provide, uh, business decisions and, and offers of, uh, different products and services to customers and maintain customer satisfaction, um, by using, um, sentiment and churn analytics. These examples show that, um, the whole data life cycle is involved, um, and, uh, is in continuous fashion in order to meet these types of use cases, uh, using a single cohesive platform that can be, uh, that can be served by CDP, uh, the data, the Cloudera data platform. >>Okay. Uh, let's talk about, uh, some of the experiences, uh, from our customers. Uh, first we'll talk about Bunco suntan there. Um, is a major global bank headquartered in Spain, uh, with, uh, major operations and subsidiaries all over Europe and north and, and south America. Uh, one of its subsidiaries, something there UK wanted to revolutionize the customer experience with the use of real time data and, uh, in app analytics, uh, for mobile users, however, like many financial institutions send them there had a, he had a, had a large number of legacy data warehouses spread across many business use, and it's within consistent data and different ways of calculating the same metrics, uh, leading to different results. As a result, the company couldn't get the comprehensive customer insights it needed. And, uh, and business staff often worked on multiple versions of the truth. Sometime there worked with Cloudera to improve a single data platform that could support all its workloads, including self-service analytics, uh, operational analytics and data science processes, processing processing, 10 million transactions daily or 30,000 transactions per second at peak times. >>And, uh, bringing together really, uh, nearly two to two petabytes of data. The platform provides unprecedented, uh, customer insight and business value across the organization, uh, over 80 cents. And there has realized impressive, uh, benefits spanning, uh, new revenues, cost savings and risk reductions, including creating analytics for, for corporate customers with near real-time shopping behavior, um, and, and helping identify 7,000 new corporate, uh, customer prospects, uh, reducing capital expenditures by, uh, 3.2 million annually and decreasing operating expenses by, uh, 650,000, um, enabling marketing to realize, uh, 2.4 million in annual savings on, on cash, on commercial transactions, um, and protecting 3.7 million customers from financial crime impacts through 95, new proactive control alerts, improving risk and capital calculations to reduce the amount of money. It must set aside, uh, as part of a, as part of risk mandates. Uh, for example, in one instance, the risk team was able to release a $5.2 million that it had withheld for non-performing credit card loans by properly identifying healthy accounts miscategorized as high risk next, uh, let's uh, talk about, uh, Rabobank. >>Um, Rabobank is one of the largest banks in the Netherlands, uh, with approximately 8.3 million customers. Uh, it was founded by farmers in the late 19th century and specializes in agricultural financing and sustainability oriented banking, uh, in order to help its customers become more self-sufficient and, uh, improve their financial situations such as debt settlement, uh, rebel bank needed to access, uh, to a varied mix of high quality, accurate, and timely customer data, the talent, uh, to provide this insight, however, was the ability to execute sophisticated and timely data analytics at scale Rabobank was also faced with the challenge of, uh, shortening time to market. Uh, it needed easier access to customer data sets to ensure that they were using and receiving the right financial support at the right time with, with, uh, data quality and speed of processing. Um, highlighted as two vital areas of improvement, Rabobank was looking to incorporate, um, or create new data in an environment that would not only allow the organization to create a centralized repository of high quality data, but also allow them to stream and, uh, conduct data analytics on the fly, uh, to create actionable insights and deliver a strong customer experience bank level Cloudera due to its ability to cope with heavy pressures on data processing and its capability of ingesting large quantities of real time streaming data. >>They were able to quickly create a new data lake that allowed for faster queries of both historical and real time data to analyze customer loan repayment patterns, uh, to up to the minute transaction records, um, Robert bank and, and its customers could now immediately access, uh, the valuable data needed to help them understand, um, the status of their financial situation in this enabled, uh, rebel bank to spot financial disasters before they happened, enabling them to gain deep and timely insights into which customers were at risk of defaulting on loans. Um, having established the foundation of a modern data architecture Rabobank is now able to run sophisticated machine learning algorithms and, uh, financial models, uh, to help customers manage, um, financial, uh, obligations, um, including, uh, long repayments and are able to generate accurate, uh, current real liquidity. I refuse, uh, next, uh, let's uh, speak about, um, uh, OVO. >>Uh, so OVO is the leading digital payment rewards and financial services platform in Indonesia, and is present in 115 million devices across the company across the country. Excuse me. Um, as the volume of, of products within Obos ecosystem increases, the ability to ensure marketing effectiveness is critical to avoid unnecessary waste of time and resources, unlike competitors, uh, banks, w which use traditional mass marketing, uh, to reach customers over, oh, decided to embark on a, on a bold new approach to connect with customers via, uh, ultra personalized marketing, uh, using the Cloudera stack. The team at OVO were able to implement a change point detection algorithm, uh, to discover customer life stage changes. This allowed OVO, uh, to, uh, build a segmentation model of one, uh, the contextual offer engine Bill's recommendation algorithms on top of the product, uh, including collaborative and context-based filters, uh, to detect changes in consumer consumption patterns. >>As a result, OVO has achieved a 15% increase in revenue, thanks to this, to this project, um, significant time savings through automation and eliminating the chance of human error and have reduced engineers workloads by, by 30%. Uh, next let's talk about, uh, bank Bri, uh, bank Bri is one of the largest and oldest, uh, banks in Indonesia, um, engaging in, in general banking services, uh, for its customers. Uh, they are headquartered in, in Jakarta Indonesia, uh, PR is a well-known, uh, for its, uh, focused on micro-financing initiative initiatives and serves over 75 million customers through more than 11,000 offices and rural outposts, um, Bri needed to gain better understanding of their customers and market, uh, to improve the efficiency of its operations, uh, reduce losses from non-performing loans and address the rising concern around data security from regulators and consumers, uh, through enhanced fraud detection. This would require the ability to analyze the vast amounts of, uh, historical financial data and use those insights, uh, to enhance operations and, uh, deliver better service. >>Um, Bri used Cloudera's enterprise data platform to build an agile and reliable, uh, predictive augmented intelligence solution. Uh, Bri was now able to analyze 124 years worth of historical financial data and use those insights to enhance its operations and deliver better services. Um, they were able to, uh, enhance their credit scoring system, um, the solution analyzes customer transaction data, and predicts the probability of a customer defaulting on, on payments. Um, the following month, it also alerts Bri's loan officers, um, to at-risk customers, prompting them to take the necessary action to reduce the likelihood of the net profit lost, uh, this resulted in improved credit, improved credit scoring system, uh, that cut down the approval of micro financing loans, uh, from two weeks to two days to, to two minutes and, uh, enhanced fraud detection. >>All right. Uh, this example shows a tabular representation, uh, the evolution of a customer retention use case, um, the evolution of data and analytics, uh, journey that, uh, that for that use case, uh, from aware, uh, text flirtation, uh, to optimization, to being transformative, uh, with every level, uh, data sources increase. And, uh, for the most part, uh, are, are less, less standard, more dynamic and less structured, but always adding more value, more insights into the customer, uh, allowing us to continuously improve our analytics, increase the velocity of the data we ingest, uh, from, from batch, uh, to, uh, near real time, uh, to real-time streaming, uh, the volume of data we ingest continually increases and we progress, uh, the value of the data on our customers, uh, is continuously improving, allowing us to interact more proactively and more efficiently. And, and with that, um, I would, uh, you know, ask you to consider and assess if you are using all the, uh, the data available to understand, uh, and service your customers, and to learn more about, about this, um, you know, visit cloudera.com and schedule a meeting with Cloudera to learn more. And with that, thank you for your time. And thank you for listening.

>>from >>around the globe. It's the cube with digital >>Coverage of IBM think 2021 brought to you by IBM. >>Welcome back to IBM Think 2021 The virtual edition. My name is Dave Volonte and you're watching the cubes continuous coverage of think 21. And right now we're gonna talk about banking in the post isolation economy. I'm very pleased to welcome our next guest. Look at wag lee is the general manager, Global banking financial markets at IBM and john Degnan is the global ceo and vice president and distinguished engineer for banking and financial services. Gentlemen, welcome to the cube. >>Thank you. Yeah >>that's my pleasure. Look at this current economic upheaval. It's quite a bit different from the last one, isn't it? I mean liquidity doesn't seem to be a problem for most pecs these days. I mean if anything they're releasing loan loss reserves that they didn't need. What's from your perspective, what's the state of banking today and hopefully as we exit this pandemic soon. >>So so dave, I think, like you say, it's, you know, it's a it's a state and a picture that in a significantly different from what people were expecting. And I think some way, in some ways you're seeing the benefits of a number of the regulations that were put into into place after the, you know, the financial crisis last time around, right? And therefore this time, you know, a health crisis did not become a financial crisis, because I think the banks were in better shape. And also, you know, governments clearly have put worldwide a lot of liquidity into the, into the system. I think if you look at it though, maybe two or three things ready to call out firstly, there's a there's a massive regional variation. So if you look at the U. S. Banking industry, it's extremely buoyant and I'll come back to that in a minute in the way in which is performing, you know, the banks that are starting to report their first quarter results are going to show profitability. That's you know significantly ahead of where they were last year and probably some of the some of their best performance for quite a long time. If you go into europe, it's a completely different picture. I think the banks are extremely challenged out there and I think you're going to see a much bleaker outlook in terms of what those banks report and as far as Asia pacific is concerned again, you know because they they have come out of the pandemic much faster than consumer businesses back into growth. Again, I think they're showing some pretty buoyant performance as far as as far as banking performance is concerned. I think the piece that's particularly interesting and I think him as a bit of a surprise to most is what we've seen in the U. S. Right. And in the US what's actually happened is uh the investment banking side of banking businesses has been doing better than they've ever done before. There's been the most unbelievable amount of acquisition activity. You've seen a lot of what's going on with this facts that's driving deal raised, you know, deal based fee income for the banks. The volatility in the marketplace is meaning that trading income is much much higher than it's ever been. And therefore the banks are very much seeing a profitability on that investment banking side. That was way ahead of what I think they were. They were expecting consumer businesses definitely down. If you look at the credit card business, it's down. If you look at, you know, lending activity that's going down going out is substantially less than where it was before. There's hardly any lending growth because the economy clearly is flat at this moment in time. But again, the good news that, and I think this is a worldwide which are not just in us, the good news here is that because of the liquidity and and some of the special measures the government put out there, there has not been the level of bankruptcies that people were expecting, right. And therefore most of the provisioning that the banks did um in expectation of non performing loans has been, I think, a much more, much greater than what they're going to need, which is why you're starting to see provisions being released as well, which are kind of flattering, flattering the income, flattering the engine. I think going forward that you're going to see a different picture >>is the re thank you for the clarification on the regional divergence, is that and you're right on, I mean, european central banks are not the same, the same position uh to to affect liquidity. But is that nuances that variation across the globe? Is that a is that a blind spot? Is that a is that a concern or the other other greater concerns? You know, inflation and and and the the pace of the return to the economy? What are your thoughts on that? >>So, I think, I think the concern, um, you know, as far as the european marketplace is concerned is um you know, whether whether the performance that and particularly, I don't think the level of provisions in there was quite a generous, as we saw in other parts of the world, and therefore, you know, is the issue around non performing loans in in europe, going to hold the european uh european banks back? And are they going to, you know, therefore, constrain the amount of lending that they put into the economy and that then, um, you know, reduces the level of economic growth that we see in europe. Right? I think, I think that is certainly that is certainly a concern. Um I would be surprised and I've been looking at, you know, forecasts that have been put forward by various people around the world around inflation. I would be surprised if inflation starts to become a genuine problem in the, in the kind of short to medium term, I think in the industry that are going to be two or three other things that are probably going to be more, you know, going to be more issues. Right. I think the first one which is becoming top of mind for chief executives, is this whole area around operational resiliency. So, you know, regulators universally are making very very sure that banks do not have a technical debt or a complexity of legacy systems issue. They are and you know, the U. K. Has taken the lead on this and they are going so far as even requiring non executive directors to be liable if banks are found to not have the right policies in place. This is now being followed by other regulators around the world. Right. So so that is very much drop in mind at this moment in time. So I think discretionary investment is going to be put you know, towards solving that particular problem. I think that's that's one issue. I think the other issue is what the pandemic has shown is that and and and this was very evident to me and I mean I spent the last three years out in Singapore where you know, banks have become very digital businesses. Right? When I came into the U. S. In my current role, it was somewhat surprising to me as to where the U. S. Market place was in terms of digitization of banking. But if you look in the last 12 months, you know, I think more has been achieved in terms of banks becoming digital businesses and they've probably done in the last two or three years. Right. And that the real acceleration of that digitization which is going to continue to happen. But the downside of that has been that the threat to the banking industry from essentially fintech and big tex has exactly, it's really accelerated. Right, Right. Just to give you an example, Babel is the second largest financial services institutions in the US. Right. So that's become a real problem I think with the banking industry is going to have to deal with >>and I want to come back to that. But now let's bring john into the conversation. Let's talk about the tech stack. Look, it was talking about whether it was resiliency going digital, We certainly saw over the pandemic, remote work, huge, huge volumes of things like TPP and and and and and mortgages and with dropping rates, etcetera. So john, how is the tech stack Been altered in the past 14 months? >>Great question. Dave. And it's top of mind for almost every single financial services firm, regardless of the sector within the overall industry, every single business has been taking stock of how they handled the pandemic and the economic conditions thereafter and all of the business needs that were driven by the pandemic. In so many situations, firms were unable to service their clients or we're not competitive in serving their clients. And as a result they've had to do very deep uh architectural transformation and digital transformation around their core platforms. Their systems of analytics and their systems different end systems of engagement In terms of the core processing systems that many of these institutions, some in many cases there are 50 years old And with any 50 year old application platform there are inherent limitations. There's an in flex itty inflexibility. There's an inability to innovate for the future. There's a speed of delivery issue. In other words, it can be very hard to accelerate the delivery of new capabilities onto an aging platform. And so in every single case um institutions are looking to hybrid cloud and public cloud technology and pre packaged a ai and prepackaged solutions from an I. S. V. Ecosystem of software vendor ecosystem to say. As long as we can crack open many of these old monolithic cause and surround them with new digitalization, new user experience that spans every channel and automation from the front to back of every interaction. That's where most institutions are prioritizing. >>Banks aren't going to migrate, they're gonna they're gonna build an abstraction layer. I want to come back to the disruption is so interesting. The coin base I. P. O. Last month see Tesla and microstrategy. They're putting Bitcoin on their balance sheets. Jamie diamonds. Traditional banks are playing a smaller role in the financial system because of the new fin text. Look at, you mentioned Paypal, the striped as Robin Hood, you get the Silicon Valley giants have this dual disrupt disruption agenda. Apple amazon even walmart facebook. The question is, are traditional banks going to lose control of the payment systems? >>Yeah. I mean I think to a large extent that is that has already happened, right? Because I think if you look at, you know, if you look at the experience in ASia, right? And you look at particularly organizations like and financial, you know, in India, you look at organizations like A T. M. You know, very substantial chance, particularly on the consumer payments side has actually moved away from the banks. And I think you're starting to see that in the west as well, right? With organizations like, you know, cloud, No, that's coming out with this, you know, you know, buying out a later type of schemes. You've got great. Um, and then so you've got paper and as you said, strike, uh and and others as well, but it's not just, you know, in the payment side. Right. I think, I think what's starting to happen is that there are very core part of the banking business. You know, especially things like lending for instance, where again, you are getting a number of these Frontex and big, big tech companies entering the marketplace. And and I think the threat for the banks is this is not going to be small chunks of market share that you're going to actually lose. Right? It's it's actually, it could actually be a Kodak moment. Let me give you an example. Uh, you know, you will have just seen that grab is going to be acquired by one of these facts for about $40 billion. I mean, this organization started like the Uber in Singapore. It very rapidly got into both the payment site. Right? So it actually went to all of these moment pop shops and then offered q are based um, 12 code based payment capabilities to these very small retailers, they were charging about half or a third or world Mastercard or Visa were charging to run those payment rails. They took market share overnight. You look at the Remittance business, right? They went into the Remittance business. They set up these wallets in 28 countries around the Asean region. They took huge chunks of business completely away from DBS, which is the local bank out there from Western Union and all of these, all of these others. So, so I think it's a real threat. I think Jamie Dimon is saying what the banking industry has said always right, which is the reason we're losing is because the playing field is not even, this is not about playing fields. Been even write, all of these businesses have been subject to exactly the same regulation that the banks are subject to. Regulations in Singapore and India are more onerous than maybe in other parts of the world. This is about the banking business, recognizing that this is a threat and exactly as john was saying, you've got to get to delivering the customer experience that consumers are wanting at the level of cost that they're prepared to pay. And you're not going to do that by purely sorting out the channels and having a cool app on somebody's smartphone, Right? If that's not funny reported by arcade processes and legacy systems when I, you know, like, like today, you know, you make a payment, your payment does not clear for five days, right? Whereas in Singapore, I make a payment. The payment is instantaneously clear, right? That's where the banking system is going to have to get to. In order to get to that. You need to water the whole stack. And the really good news is that many examples where this has been done very successfully by incumbent banks. You don't have to set up a digital bank on the site to do it. And incumbent bank can do it and it can do it in a sensible period of time at a sensible level of investment. A lot of IBM s business across our consulting as well as our technology stack is very much trying to do that with our clients. So I am personally very bullish about what the industry >>yeah, taking friction out of the system, sometimes with a case of crypto taking the middle person out of the system. But I think you guys are savvy, you understand that, you know, you yeah, Jamie Diamond a couple years ago said he'd fire anybody doing crypto Janet Yellen and says, I don't really get a Warren Buffett, but I think it's technology people we look at and say, okay, wait a minute. This is an interesting Petri dish. There's, there's a fundamental technology here that has massive funding that is going to inform, you know, the future. And I think, you know, big bags are gonna lean in some of them and others, others won't john give you the last word here >>for sure, they're leaning in. Uh so to just to to think about uh something that lick it said a moment ago, the reason these startups were able to innovate fast was because they didn't have the legacy, They didn't have the spaghetti lying around. They were able to be relentlessly laser focused on building new, using the app ecosystem going straight to public and hybrid cloud and not worrying about everything that had been built for the last 50 years or so. The benefit for existing institutions, the incumbents is that they can use all of the same techniques and tools and hybrid cloud accelerators in terms And we're not just thinking about uh retail banking here. Your question around the industry that disruption from Bitcoin Blockchain technologies, new ways of processing securities. It is playing out in every single securities processing and capital markets organization right now. I'm working with several organizations right now exactly on how to build custody systems to take advantage of these non fungible digital assets. It's a hard, hard topic around which there's an incredible appetite to invest. An incredible appetite to innovate. And we know that the center of all these technologies are going to be cloud forward cloud ready. Ai infused data infused technologies >>Guys, I want to have you back. I wish I had more time. I want to talk about SPAC. So I want to talk about N. F. T. S. I want to talk about technology behind all this. You really great conversation. I really appreciate your time. I'm sorry. We got to go. >>Thank you. Thanks very much indeed for having us. It was a real pleasure. >>Really. Pleasure was mine. Thank you for watching everybody's day. Volonte for IBM think 2021. You're watching the Cube. Mhm.

>> from Bahrain. It's the Q recovery AWS public sector Bahrain, brought to you by Amazon Web service is >> hello and welcome to the cube coverage here for a W s summit in by rain in the Middle East. I'm John for the host of the Cube, where here's our second year covering the evolution of cloud computing in the region. Changing the landscape of entrepreneurship Government society actually, data is the new oil so excited to have our next guest, Abdula Elmo, I kill who's the co founder and partner at rain hot. Start up with some seed funding, I think has cracked the code on the crypto money making aspect of crypto currency. Welcome to the Cube. Thank you. Thank you. So let's get started. You guys have a small team, get some seed funding. Interesting strategy on crypt. Everyone. When I see oh, kind of a fraudulent markets international, we all come and watch in the I c e o u s cramping down on it. Ah, lot of entrepreneurs love this market. A lot of innovation. You guys had a different approach and do some very innovative taking me explain what rain is doing because you've cracked the code on Crypto to Fiat. That's right, which has been the legit use case for making this all this >> Absolutely so all of the founders, the four founders? Yeah, Badawi, A. J. Nelson, Joseph Lago and I We've been in this industry for quite a while. We've been here 56 years, and we've seen all the hype cycles come and go about sometimes about Blockchain technology itself sometimes about the i c e o craze. Uh, and we've really just bought came down to what is the bit viable business model? We all were all entrepreneurs and we had looking for a new opportunity. Does with a lot of people coming into this industry with those with any innovation, lots of opportunities arise. And we've looked at the world and the world had many exchanges that were the most successful businesses in this industry. The exchanges facilitating the trade that was the most interest. That was the highest demand. That was the real use case. And we found that, um, there were exchanges popping up from around the world, but they weren't here any in the in the Middle East yet, And perhaps it was due to a regulatory, uncertain see or other difficulties of coming into this market. But Bahrain really opened up for us and we met with the Central Bank of Bahrain about three or four years ago and things really got started from there. >> And being a marketplace, you gotta have a lot of, you know, governance. It's all a lot of regulatory pressures from the folks that started. People who watch the Cube know that we've been very bullish on Krypton. We love Blockchain as an underlying technology. Yeah, that's, um, sustainability issues around Bitcoin and others. We recognize that, but in general this is a wave that cannot be denied. The moneys flow, right? So money's flowing in Kryptos, you scripted a crypto. You guys have the Fiat piece of it. So this brings on the first kind of liquidity opportunity in crypto thio. Real money? >> Yeah, absolutely. So that's our main goal is we're serving both retail and institutions and we believe there's going to be a lot of traffic from the traditional finance world, from institutions and individual investors into the crypt, a world and the opposite as well. A lot of people had challenges with taking the profits out of exchanges and withdrawing them to their bank in a regulatory compliant way. And that's really what we're solving here for the lowest fees in the region. >> But rain, once the blubbering, was to be modern society. They're going all in on cloud computing. They want to be a cloud country. They're open to new ideas. What attracted you, these guys? What made them different as it was that their vision was their posture on oversight? What was some of the things that make makes it work here? >> Well, at first it was the reception The behind central bank had a fintech unit already in in 2000 I think set a release 2017. So that was great. I think other central banks around the region and the world we're just starting. Then there was the behind fintech beh ah, dedicated working space for fintech companies here. So the ecosystem and the reception was really what attracted us at the beginning, other than knowing that Bahrain was a good financial hub for quite some time for the region. So we joined the Bahrain, um, Central banks regulatory sandbox which allowed us to experiment and test whether we can do this in a safe and secure way. And about a year and 1/2 later, uh, central bank drafted the regulations. Four crypto asset exchanges, brokerages s. So now that the regulation have got drafted and published, we graduated from the sandbox. Thankfully, and we were allowed to apply for the license shortly after we applied. We we earned the license. Thankfully. >> So what's next? What's goes on now? You do a lot of get a lot of work, A lot of coding. Gotta make sure the fintech compliance a lot of hurdles there. Yeah, I can understand that. What's now next? Got the regulation place? Yep. You'd expand. What's the plan? >> Well, we announced the license and Ah, a tte the same time, we also announced closing our seed round. So with that, we were able to grow our team the past month from, um, 8 to 9 people to 15 to 17 people now, and just more and more joining on board every day and are really our focus is growth. Now we're out of the sandbox. We don't have the limitations of the sandbox we had before, and we have banking relationships already made with different Banks s. So now we're just trying to reach out for the market. So we have grown our customer support team growing our engineering team hiring and comply a compliance officer, um, and other growth aspect. Just moving forward, >> getting up the basics of the business. That's right. What's your target audience gonna be? The inside solutions at first retail. What's the target audience? It's >> really both. It depends on what the market is providing. We've see institutional demand that has always relied on. When we spoke with institutions, they always relied on getting the license first because they don't want to operate with anyone unlike since, which makes it ah, you know, really interesting, because that means they haven't been able to get into the digital asset of crypto asset world the past few years while it's going up and down. So we we see ah, 50 50 divide most likely and what's going to be similar ratio than the rest of the world. But right now it's a lot of retail. Customers >> feel great to get your perspective here. It's even in the space. For a while, we saw the fire hype cycle go up, then the wet blanket Crypto Winter hit? Yeah, in the United States. Certainly it put a clamp down on most I CEOs. The SEC is right looking at a bunch of stars behavior, you know, Pretty Wild West is they call it, but an internationally still been pretty active even in the crypt A winter Go back, say 2018 Go back Last year on March it kind of stopped, got cold and then frosted over. Now it's been a block of ice. If you descript a winter, what's your take on it? What's the vibe? Internationally, I'll see Still money still flowing Bitcoins over 10,000 I think this morning, but still a lot of activity. Yes, some tokens have fallen away. Some are staying around. What's your assessment? >> So we've seen a lot of ah cycles. If you've been in this industry for 567 years, you'll see that we've had multiple of these winters, some of them lost, lasting longer than others on dhe. This late last one didn't didn't last as long as the one before. So what we really every time we see a ah boom, we have ah lot of media and a lot of people coming in brand new, trying to educate themselves about What is this? So we see just on everlasting cycle of just expansion on dhe. The price right now is not at the all time high, but it's still considered pretty significant at the beginning of the year was only about three or $4000. Right now it's about 10,000 and $100 for for a Bitcoin a cz with the eye CEOs. There have been a lot of concerns, rightfully so, because anyone can whip out a token and start selling it almost a security. But the central banker behind has a list of acceptable crypto assets that they will allow us to list. So right now we only have four crypto currencies are assets Bitcoin like coin ethereum and X R P. But nothing more than that at the time. And we hope to add more in the future. >> Ripples been taken some hits lately in the U. S. What about Eos and some of the other ones around the coin gets a corner, get some growth, you seeing some new things. How you guys gonna be evaluating some of these other new currencies? Is there a formula, you keep an eye on them. What's the consisted of concensus? What's that >> right? So we are agnostic to choosing the crypto asset that the color customers want to invest in it. If the central bank of behind accept this as secure liquid enough and, um, essentially time tested as well, For if it's been around for, let's say, 3 to 5 years with no network issues, then maybe retail customers can invest in it. But if it if it is just came up a brand new, we might come up. It's not time tested. Security wise, um, it hasn't gone through some certain pressures that are necessary for a network for payments are storing of value. >> So the central bank makes the decision on what they're gonna accept. What they >> listed in viable. That's right. But we we take customer input all the time. We started with just three, and then we had a lot of demand for exactly here in the region, and way listed it after getting improved. >> So we can't get Cube coin up there, can we? >> It defends the eyes that thinks he's coming. Okay, coming for two years in a row, knows >> what's coming. What's your final thoughts? The entrepreneurs out there because it's a lot of activity. This is one of those things where persistence really matters. No, your space Stay humble. Yeah, deal with these cycles because they are happening right? There is a There is a high velocity of cycles seasons, if you will, winter and summer. >> Well, I really think people should be should be more calculated to think long term with this technology. A lot of people are trying to make a quick buck or just make something, um, thinking that it's just a quick way to make money. But I really think people should educate themselves, both the entrepreneurs and the the retail investors that, uh, you know about the market about the technology so they can really see where the use cases might be of most need to the market. >> Talk about your, uh, your expansion plans. You have to to co founders in the US You're the co founders in Egypt. Is there gonna be a remote team? Is it going to be in by rain? What's the what's the hiring look like? Where's that where people will be located. >> So most of our if not all, of our customer support. Our client service agents are here in the in Bahrain. Um, we have the phone co founders now the to Joseph and a J from the Bay area there in behind as well here for the majority of the year there in the office. Now, um, the the engineering team, however, is a little scattered. Sometimes we we find we're security is a really high priority for us. It's the number one priority for us, as any Cryptocurrency exchange would be. So we re really scout talent and from the U. S. From Canada from other places around the world. Eso our engineering team is based in the Bay Area and other places in the U. S. Um, aside from Joseph, who leads it, who's the co founder here and behind. And the rest of the business and customer team is here behind. >> So really, the gating factor on hiring is making sure security's number one. So it's not so much. Get people filled in an office on the engineering front. >> No, it's definitely way. Look for high quality candidates, so that's our priority. We may be a small team, but they're all superstars. To be honest, >> what's been the biggest challenge that you guys have to overcome in this process because it's tough to get the license wasn't just being patient was. It's the diligence. What were some of the things that you overcame that were challenges? >> Well, it's it's definitely it definitely was a challenge to talk to. Ah, lot of regulators in the region. In general, Bahrain was by far the most cooperative. So right now the challenge is perhaps talking to other regulators when you talk expansion plans, we hoped we are serving the whole Middle East here from the from behind. But we'd idly, ideally want to also set up banking in Kuwait or youe or Saudi just so we can have better, quicker, on and off ramps for the customers. They're >> one of the big stories out. See Amazon Web service. It has a region here, um, pretty important. Pretty big deal. What's your take on what you think is gonna do for the region having a Amazon region multiple availability zones? What's that going to do for the entrepreneurship equation? >> I mean, it's fantastic. You see a lot of excitement here from entrepreneurs in the region and especially with regulation. How about having customer data stored here in the region? Um, it's really going to help. A lot of entrepreneurs also mitigate, You know, any downtime from hosting it in other places? >> New generation of entrepreneurship Hitting the scene here, isn't it? >> Yeah, it's really exciting. Lots of funding going around. Lots of ideas. Pretty really, really exciting for all entrepreneurs. >> Fail fast. As we always say, No one likes failure, but it takes Takes guts to start a company course. Of course. You know, thanks for coming. I appreciate it and say congratulations on your success. Thank you. Coverage Here we are in by rain for AWS summit. We're back with more after this short break.

>> Announcer: Live from Las Vegas, it's The Cube covering IBM Think 2018. Brought to you by IBM. >> Hello and welcome to The Cube here in IBM Think 2018, I'm John Furrier. It's The Cube, our flagship program, we go out to the events and extract the signal in the noise. We're the number one live event coverage. We're here with The Cube with IBM Think 2018. Our next guess is Jesse Lund who's the vice president of IBM Blockchain. He's in the financial services side. Into blockchain, into crypto, into token economics, seeing the future, how money flows, Jesse great to have you on The Cube, thanks for joining me. >> Yeah, thanks for having me. It's great to be here. >> We were talking before on camera about blockchain, and we love blockchain, IBM certainly put it out there as part of the innovation sandwich. Blockchain, data, AI, kind of making that innovation, but it's really what it enables, and I want to talk to you about. You are involved in payments. We've been saying on The Cube that the killer app is money in this market. >> I agree, yeah. >> You agree, and you talk about it. This is a new market, so a stack is kind of developing. You got blockchain, then you got crypto which as protocols and you got infrastructure, then you got decentralized applications which you could call ICOs up top, certainly a little bit scammy and bubbly, but that's as arbitraging and optimizing the capital markets, you could argue that. But so this is a really big dynamic. Your thoughts on this trend. >> Sure, well so I joined IBM from 18 years at Wells Fargo. I spent really the majority of my career in financial services and when blockchain came along, I sort of immediately saw the impact, the potential for, I'll call it positive disruption, disruption in the positive sense. Transformational paradigm shift kind of stuff in terms of how money moves around the world and how we classify assets and how we transfer ownership of assets, I mean that's just, it's, the possibilities are limitless. And you're right, IBM is the place where I think blockchain has started as a mainstream focus for enterprises around building private networks, but that's really just the beginning. What we talked about earlier was it gets really interesting when data and money are connected together and they move at high velocities together. >> Let's get into that. I mean first let's just address the IBM thing. They got to put a stake in the ground, blockchain, it's a safe harbor to say supply chain stuff because that's their business, they've been building technologies for supply chains for companies, that's what enterprises do, that's IBM. But the game is where the money is and that's where the businesses are going to be transformed. We're talking about disrupting structural industries. This is where the money power comes in. Money's flowing, I mean if you want to move money from China, go to bitcoin. If you want to move it from anywhere, this is what's happening. >> Yeah, so think about bitcoin. It's kind of what started it all. It's a little bit of a bad word in banks and in regulated financial circles, but let's face it, the only real mainstream blockchain application today is still bitcoin, but you know we're only three years in to the blockchain industry, right? I mean think about when we were three years in to the internet industry, where we were still talking about which browser is going to win and then it went on to which application server's going to win, and it wasn't til a decade later we were really focused on what are the applications, the killer apps that are enabled by an interconnected world and that's exactly what's happening now. Other industries have already been completely disrupted. Look at retail, it's just, it's banking's turn. It's financial services turn. >> One of the founders, the co-founders of Ethereum, Anthony Diiorio, who I interviewed a couple weeks ago at the Bahamas, he said "While it is the new browser," to your points, browser wars, if you think about the payment, wallets are now becoming part of the mechanism for money transfer. If you don't have a wallet, if you want to send me some Ripple, you want to send me some Ethereum, I need a wallet. This is a no brainer, right? I mean if you want to leverage any money, that's one thing. The second thing I want to get your thoughts on besides the wallets, the fiat conversion, right? These are two threshold conversations that are going on. Your thoughts, wallet and conversion to fiat. >> Well I mean I think wallets are really important because this whole thing is based on key management, this whole concept is based on cryptography. It only works on a public, private key notion and you got to keep that private key private, but you got to keep it, right? You got to keep it safe and you got to keep it, it's like your wallet. You've got a wallet, you've got cash in your wallet, you lose your wallet, you lose your cash. It's the same kind of analogy, so wallets are really important and you're going to want to turn to providers who have made their business in encryption, who have made their business in security, I mean-- >> And cold storage, old school is kind of coming back, people are taking their keys and they're spreading them across multiple lock boxes, multiple states. People are getting broken into their house or their PCs are getting broken into. >> Right, yeah. >> I mean security, going old school. >> And why not? I mean, it works. >> Because if someone knows you got 100 million dollars in your house, they're going to get it if you don't lock it. Okay back to the reality of the money transfer. We were talking before you came on, I've been saying on The Cube, token economics really is where the action is, at least in my opinion. I want to get your thoughts because really the business model innovation is on the table because whoever can innovate the business model has more of a chance to disrupt an existing industry. This is where tokenization becomes part of the money piece of it, so how do you convert that value into capture? Is that token? Is that where you see it? What's your thoughts? >> Yeah so well first of all, I mean if you think of tokens as another form of currency, and by the way, I think we have to be careful about what we say, cryptocurrencies, the industry talks about thousands of cryptocurrencies out there where there's really not. There's maybe dozens and they're all derivatives of just a few models, bitcoin being one prominent model and there's a lot of offshoots off of that. But the rest of what we call cryptocurrencies are really tokens that represent primarily securities, which is why the SCC's getting involved. But the really interesting thing about this is these tokens move at high velocity because they're digital and so, but these digital things represent a claim on real world value, and that's where it becomes really interesting. IBM's built and launched as kind of its first foray into the solution space of financial services where IBM is an investor in this technology, a cross-border payment solution that inherently re-engineers this whole correspondent banking, this international wire process, and where FX, foreign exchange, becomes a real time capability in a series of operations that execute as an atomic unit. That's novel today. When you want to send money from here to somewhere else in the world, you go to your bank, your bank sends an instruction to another bank, and they respond and say "Yeah you know it's okay "because the person you're sending it to is not a terrorist, "is not on a some sort of sanctions list," great, now the bank has to actually go settle and it settles through another network, so the novelty is why can't the messages and the data and the value itself, the digital asset, why can't they exist and move together at the same time? That's what we've really built. But as we've built and deployed that and are getting banks and non-bank financial institutions to sign up for it because the cost of moving money goes way, way, way down and the user experience goes way, way, way up because instead of taking two or three days and you don't know how much it's going to cost until it gets there, it takes 10 or 15 seconds and you know before you even press send how much it's going to cost to get there. It all boils down to this notion of digital assets, that's what it all comes down to, is the way to settle value with finality in real time is for one party to exchange a digital asset with another party. Today, initially, the only form of negotiable digital assets are cryptocurrencies which has banks a little scared, but as we start talking through what we've learned in the enterprise blockchain space, we realized that we can tokenize all sorts of other asset classes, commodities, securities, and even fiat currencies where central banks or commercial banks can issue a token that represents a claim on deposits held at some financial institution and that's, that's a-- >> So you see tokenization as a big deal. >> It's a huge deal. I mean it's everything, I think it's-- >> It's the economic value of the ... >> I think it's the tipping point for blockchain. The irony is it goes back to bitcoin kind of started this all. You know we said "Well we like the idea of the technology "underneath bitcoin, but we want to focus on blockchain," I mean forget for a second blockchain is actually terminology that's invented by the bitcoin primer that was published nine years ago by Satoshi, so yeah it's their, whoever they are, it's their terminology, and it's kind of coming back full circle where you're seeing the convergence of all of these cool optimization capabilities, you know, immutability and workflow optimization, supply chain management-- >> And there's a lot of work to be done on performance and whatnot, but the concept of decentralized immutability data is fine, store the data. Now there's, it's got to get fixed, but I think that what that enables and I think you agree that tokenization's critical. So for a company that wants to token their business or raise money via tokens or get involved in this new economic value creation, innovation trend, how do they do it? And by the way are there tools available? You mentioned banking, and the banking business got to where it was because you had to build the picks and shovels to make it happen, you had to do a swift and you had to have this stuff go on. Now developers don't necessarily have the tools, so there's a picks and shovel market and there's also the real innovation. >> Yeah and that's I think the value contribution that IBM brings. I mean we bring 107 years of credibility in developing and operating mission critical, transactional, and financial systems, and I could do just an ad for a second, that's what the IBM blockchain platform is all about and as the industry evolves, as our platform offering evolves, what we want to be able to bring to small business, medium sized businesses, large businesses is the ability to develop solutions using our toolkit. >> So Jesse I want you to put your financial hat on and at the same time put your payments hat on and your token economics hat on, three hats. Hey I want to tokenize my business, I really want to get in. So we have an innovative team, we're seeing new business model formulas and logic that we want to disrupt, what do I do? I got an existing, growing business that I know has assets and I'm not a startup, but I'm not trying to pivot like Kodak, so I'm not dying, throwing the hail Mary, or I'm not a startup and got to build a whole product. I'm a real business, I'm growing, and I see tokenization as a way for me to be successful. What do I do? What's your advice? >> Well I think you look at it from all potential angles. If you look at any business, they're always looking to improve the bottom line by shrinking costs, right? They're also looking to improve the bottom line by increasing the top side, increasing revenue, and I think as a mid-sized business or a growing business, you have the opportunity to use tokenization, to use blockchain and digital currencies to do both of those things. You have the ability to accelerate the adoption of whatever your good or service or product is by if it's tokenizable, and most things are whether it's a utility, access to some service you provide, or whether it's an asset, some widget that you sell, you enable primary and secondary markets by creating a digital asset that can be bought by anybody anywhere around the world. I mean that's one way to do it and so I think getting people to realize the potential there-- >> You got programs, they call up IBM or get some developers, make it happen. Okay so killer apps money, that's going to be a 30 plus year trend and certainly this highlights that, but the other thing that's happened, it's coming out of either, in the open source community as well as cloud, the notion of marketplaces and communities so marketplaces and communities become a very important role in the token economics piece. What's your thoughts and opinion on that narrative? >> Well again for me, it goes back, I always go back to digital assets. We in the U.S. and around the world, when we start talking about financial instruments, we classify assets differently, but when it comes to an ecosystem and a community that becomes inherently peer to peer and inherently democratic, it's about an asset class agnostic distributed exchange where I can sell you my security token in exchange for your fiat token, or I can sell you my commodity token or utility token for the same. I think the ecosystem gets built automatically by way of new assets coming to a common network or interoperable set of networks, and that's what's missing today by the way, same in capital markets, right? The holy grail in the capital market space today is how do I shrink the time between trade and settlement? There's this whole t plus three and we're spending billions of dollars to go to t plus two, we gain a day, so the trade day and the settlement date are two days apart. I mean you just think about kind of the absurdity of that. If you just say well if the security that you're buying is a digital asset, and the money that you're buying it with is a digital asset, and they both exist on either the same network or an interoperable network, the transfer of ownership and the transfer of value happen together as two operations or a single operation in one atomic transaction, you've solved the problem. >> Speed of light can make it happen. >> Right, delivery versus payment, that's what the capital markets industry is trying to optimize for, right? Because it improves the balance sheet of all sorts of finance-- >> You had a phrase you mentioned before we came on camera, something about money, the future of money. What was that phrase? >> Programmable money? >> Programmable money. >> Yeah, right, right. >> I want you to take a minute to explain. Love this concept, Miko Matsumura, thought leader friend of ours, has a vision called open source money which is more of an open source, this hey money's flowing, it's open, it's out there, but you have a different perspective which I like too which is programmable money. What does that mean? Describe the concept and take a minute to unpack that. >> The concept of programmable money comes out of a paper that I jointly authored with Jed McCaleb who is the founder of Stellar and was the co-founder of Ripple and is a really smart guy so I feel like I have a small brain when I'm around him but we really wrote it in the context of central banking and the ultimate issuer of an asset because central banks are the issuers of currencies. Right now the primary dealers, if you will, for currencies are commercial banks and so that whole commercial, central, fractional reserve banking model has been replicated from the western world to everywhere else in the world and you can't get access to central bank money as they say. But if the central banks were to issue digital currencies which is essentially a token of fiat currency, so you own the token, you own a claim of fiat deposits held on the balance sheet of the central bank, now you have the ability to move that around. You can actually program the movement of money because it's a digital thing, it's a digital asset that's as good as cash and if you are working with a central bank who's issuing it, not only is it electronic money, it's actually legal tender because if the central bank issues it, it becomes legal tender which means everybody who accepts it has to accept that form of payment. That's pretty profound if we can get to that point and we're working with-- >> And software's a big driver in that because you need software to manage digital assets. >> Oh yeah, absolutely. >> The software's driving it. Bill Tai is an investor, I interviewed him, and he had an interesting topic and I made a highlight of it. He said after World War II, we talked about the oil situation when the dala was pegged to OPEC, that was essentially tokenizing oil. Then okay that's good, so that was their ICO. >> Right, right, yeah, essentially. >> That's what you're saying, you can actually put fiat to the digital token and take advantage of the efficiencies of digital. >> Right, yeah, okay-- >> Taking down all the structural inefficiencies that were built prior to digital. Is that ... >> It is. You fast forward a little bit and think where that takes us. It's no secret that the U.S. dollar is the trade currency of the world, and I want to be careful what I say because, you know, I'm an American patriot here but there are other large G20 nations who wouldn't mind dethroning the U.S. dollar as the trade currency of the world and so as you see central banks starting to get involved in the issuance of digital currency, you create a situation where all of a sudden well maybe oil could be traded heresy in other currencies besides the U.S. dollar which is all it's traded in today. Goes back to your ecosystem question. >> This is a great point. We could riff on this stuff, let's riff on this. The UK just signed a deal with Coinbase, this is a major signal. >> Sign, yeah. >> You got a legitimate country saying we're going to give a license to Coinbase, now they have Brexit to deal with so they're looking at it as an opportunity. Outside of the UK coming in and doing that deal with Coinbase, it's on the web, look up Coinbase in the UK, you'll see the deal. You have other companies trying to jockey for who's going to be the Wall Street for crypto? Meaning I want to convert crypto to fiat, where do I go? Do I go to Estonia? Do I go to Dubai? Bahrain? Armenia? China? There is no place yet. Your thoughts, what's going to happen? What shoe will drop first? Is there a domino effect? >> Yeah, well there's a couple things as it relates to the UK and kind of the extension to Coinbase of access to the national payment system which is really what enables them to then convert fiat to crypto and back. That's pretty interesting. Going back to the programmable money thing, though. If you have a central bank issued token, you've essentially extended the real time gross settlement system which has been only accessible by commercial banks to anybody that holds that token, right? It's a trend, I think the UK sees it coming, I think the Federal Reserve sees it coming. It's going to happen. >> Is it winner take all or winner take most? >> I think it creates a much more purely efficient market. It's a democratic system so I don't think there is going to be a new Wall Street, I think it's going to be-- >> John: Decentralized. >> Exactly, I mean that's the beauty of it. It's scary though for establishments like Wall Street to look at this and it-- >> I mean are the banks scared? You're dealing with the banks right now. >> Yes, they're scared. I mean I've actually read a recent article that Bank of America, the headline was "Bank of America's afraid of digital currency." You've seen Jamie Dimon who came out with a kind of a hard stance against bitcoin and has since kind of backed away from that. >> Of course you probably bought in when it dropped and now it's back up again. >> Well I think part of the bank was actually facilitating their clients and trading bitcoin so that might've been it. There's a natural reaction to it, especially if you're part of the mainstream establishment. >> There's no proof of that, I'm just saying we're posting on Reddit and whatnot. >> No we're just joking around. Jamie's a, he's a good guy, right? >> Can I get your thoughts on digital nations? We've been talking about this. Just a few years ago, smart cities, IoT was kind of the narrative, oh be a smart city, control the traffic lights, and instrument the physical goods and services. Now with crypto and blockchain front and center conversation is digital nations with sovereignty around their cash. This is kind of your point earlier. How are you seeing that? What's your view? Are you seeing that trend? Are there dots connecting for you? Because again, people are jockeying for a position on the global digital backbone to be a major part of the money flow, the fiat conversion, what is the goods and services? Who's going to clear the values? All digital, it's a perfect storm. >> Well I think there's always going to be the need for trusted entities to be the issuers of these assets because it all comes down to trust at the end of the day. The thing with bitcoin is that it's purely autonomous and people are a little bit skeptical of it because they're like, "Well who's controlling "the monetary policy?" and the answer is the market, you know, the users of the network are controlling it and that's why you see such volatility, right? Because the traders love it, they can go in and trade the up trends and the down trends. As long as there's volatility, traders are making money. I think there is still going to be a place for central authorities to add value, but that's going to be the pressure, is for them to prove that they're adding value not, you know, bureaucracy masquerading as process. >> I was reading an article that Telegram, which is doing a huge ICO, just got shut down by the Russian government, they went to turn over their keys, their private keys of their users. Say goodbye to the-- >> Jesse: I didn't read that, that's crazy. >> It's really crazy, so that's going to put a damper on their ICO but regulatory and then government issues around countries becomes a big deal. In your experience as Wells Fargo, at a bank, looking forward in the new digital world, is it one of those situations where path of least resistance, the countries that go more friendly get around that in a sovereignty where you domicile, where you start your company, where you do your banking. I mean I could start a company in Gibraltar and bank in Switzerland. >> Well transparency is part of the benefit or the downside of this, right? I think there may be advantages that pop up but I think they will equalize over time. I've been around the world now for IBM talking to 20 plus central banks, and I had a really interesting conversation with one of them recently in Asia. We're in the room with deputy director level people who are responsible for things like the NA money laundering policy and the economics and monetary policy and things like that and one person said, "You know, we're really torn "between two equally unacceptable decisions. "One is to ignore cryptocurrencies altogether, "and the other end of the spectrum is "to make them illegal, to ban them." I thought it was poignant that they see those as unacceptable, they have to do something in the middle. >> Do they weigh or ban? I mean look, the banning's happening. >> But okay so you saw that Trump used the executive order to prevent Americans from using or trading in the Venezuelan crypto that was issued on Ethereum, right? I saw that Venezuelan thing as a publicity stunt more than anything, an active of global defiance. So there's precedent now for, and the Russia thing with Telegram-- >> The United States of America has to step up its game because look at it, we have a lot of, I mean I remember back in the crypto days when I was just getting into the business, late 80s, early 90s, you couldn't even do it in the U.S., you go to Canada, that's why Canada's got a lot of innovation up there. We're risking our country, and I had one guy tell me in Puerto Rico, he's from South Africa, and he shouldn't be throwing any stones either but his point was, he says, "America's becoming Europe. "There's a shrinking middle class "while other emerging markets have a growing middle class," so the global impact of blockchain, cryptocurrency, and these applications are significant and have to be factored into policy decision making for governments. The U.S. can't just think about itself anymore in a vacuum. >> Right, not anymore. >> Because there's implications otherwise the U.S. will turn into Europe, regulated, all these rules, byzantine stuff. It's a real problem. Your thoughts on that. >> It is. It's cliche, but we live and work in a global economy. The flow of information globally in real time has been around now for a while and it's about time it came to money. The internet of money is a term I've heard. It's just, it's unavoidable. >> Jesse Lund here inside The Cube. Great guest, great conversation. >> Yeah, thanks. >> How do people get ahold of you on IBM's, you mentioned you got some great stuff going on, you've written a paper, you've got a lot of content, where does someone go to discover some of the stuff that you're working on they could get involved with you guys? >> Yeah well I mean the best place to go is IBM.com/blockchain, that'll tell you a lot about what we're doing and the different industry-- >> And the programmable money paper you wrote, is that there? >> It's out there as well, there's a link to that. >> On IBM.com? >> You can get me directly on LinkedIn, I try to be pretty responsive with that because I really enjoy the dialogue. This is a revolution of the peoples, man, it's all over the world, so it's great, it's great to be a part of it. >> And people tokenizing their business, there's real opportunities to change the game to bring consensus, data driven, new kind of supply chain whatever to the markets you're in, great opp-, and you need banking. >> Yeah of course. >> You need to have money. Money, marketplaces, and communities, that's my mantra. >> I subscribe to it. >> Thanks for coming on. >> Thank you, thanks for having me. >> Jesse Lund. I'm John Furrier here at IBM Think 2018. Cube coverage continues after this short break. (upbeat music)