>>everybody, this is Dave Vellante. May 27th were hosting a crowd chat going on crowdchat dot net slash data ops. Data ops is all about automating the data pipeline infusing AI and operationalize ing ai and the Data Pipeline and your organizations, which has been a real challenge for companies over the last several years in most of the decade. With me is aljaz cannoli. What's changed? That companies can now succeed at automating and operationalize in the data pipeline. >>You're so right, David. As's faras. I remember myself in this industry data challenges that the bottlenecks are the bottlenecks. So why now? I think we can answer that one from three angles. People process technology. What changing people? What changes process will change with technology. Let me start with the technology part on the technology front. Right now. The compute power is they were rare and the cloud multi cloud artificial intelligence, Social mobile all connected and giving the power to the organizations to deal with these problems, especially, I want to highlight the artificial intelligence part, and I will highlight it with how IBM is leveraging artificial intelligence to solve some of the dormant data problems. One of the major major doorman problem is on boarding data. If you're unable to onboard your data fast, however beautiful factory the all the factor lines shining, waiting for data if you cannot. Onboard data fast, all dress is waiting. But what IBM did automated made metadata generation capabilities which is on boarding data leveraging artificial intelligence models so that it is not only on boarding the data but on boarding the data in a way that everyone can understand it. When data scientist looks at the data, look at the data. They don't stare at the data but they understand what that data means because it >>is >>interpreted into business taxonomy into business language in the fast fashion that is one the technology, the second part people and process parts so important in the process part the methodology. Now we have the methodologies, the first methodology that I would just say as a change. Sometimes we we call that as a legal I don't know whether you heard about it in an agile So these legal methodologies now asking us to how alterations fail >>fast, Try fast, fail fast, Try fast >>and these agile methodologies are now being applied to data pipelines in weeks, off iterations, we can look at the most important business challenge with the KP eyes that you're trying to achieve and then map those KP eyes to data sources needed to answer those KP eyes and then streamline everything in between passed. So that renders a change like this the market that we are in. Then all those data flows are streamlined and optimize. And during the Cube interview during the Cube program that we put together, you will see some of the organizations will mention that is agile practice they put in place in every geography is now even getting them closer and closer, because now we all depend on and >>live on digital. So I'm very excited because ah, interviewing Standard Bank Associated Bank. Harley Davidson, IBM chief data officer into public. Sorry to talk about how IBM is sort of drunk, its own champagne eating. It's own dog food. Whatever you prefer. This is not the the mumbo jumbo marketing. This is practitioners who are gonna talk about how they succeeded, how they funded these initiatives, how they did the business case, some of the challenges that they face, how they dealt with classification and metadata and some of the outcomes that they have. So join us on the crowd. Chat crowdchat dot net slash data ops on May 27th. Go there at your calendar. We'll see you in the crowdchat.

>> Hi everybody, this is Dave Velante with the CUBE. And when we talk to practitioners about data and AI they have troubles infusing AI into their data pipeline and automating that data pipeline. So we're bringing together the community, brought to you by IBM to really understand how successful organizations are operationalizing the data pipeline and with me to talk about that is Aliye Ozcan. Aliye, hello, introduce yourself. Tell us about who you are. >> Hi Dave, how are you doing? Yes, my name is Aliye Ozcan I'm the Data Operations Data ops Global Marketing Leader at IBM. >> So I'm very excited about this project. Go to crowdchat.net/dataops, add it to your calendar and check it out. So we have practitioners, Aliye from Harley Davidson, Standard Bank, Associated Bank. What are we going to learn from them? >> What we are going to learn from them is the data experiences. What are the data challenges that they are going through? What are the data bottlenecks that they had? And especially in these challenging times right now. The industry is going through this challenging time. We are all going through this. How the foundation that they invested. Is now helping them to pivot quickly to market demands, the new market demands fast. That is fascinating to see, and I'm very excited having individual conversations with those experts and bringing those stories to the audience here. >> Awesome, and we also have Inderpal Bhandari from the CDO office at IBM, so go to crowdchat.net/dataops, add it to your calendar, we'll see you in the crowd chat.

>>Hi, everyone. My name is Ali Askin. I'm the data operations data ops, little marketing leader at IBM. We're all going through challenging times, especially the industry. We cannot control what we cannot, but they're still things that we can control. There are two things that we can do if unless you're on the front lines, the first thing is social distancing. It's a personal accountability. >>The second thing is >>skills improvement. We can do improve our skills for today and tomorrow whether whether that is >>a >>new normal or the normal. IBM is helping you to improve your skills by bringing you. IBM is biggest events. Think for free. Virtually it is. Starting on May >>fifth and sixth, >>we will be covering areas such as I t resiliency, business continuity, cost of risk management, digital transformation, journey to AI, multi cloud environments and how we're all connected with the digital platforms. Hope you can join us to sharpen your skills. For sure. You will need it more and more today and tomorrow. Please. Please stay safe. Stay well. >>Thank you.

>>Hi, everyone. My name is Julia Moskin. Indeed. Data operations data offs, global marketing leader >>at IBM. >>Big data is all about delivering trusted data fast through applications, operations, >>the business user. Why important? >>Why now? To meet market demands past and to give it to changing market conditions past. It is essential for organizations to put the right data into the right hands at the right time passed. And that is what they do provide a data ops gets you well, I believe we put in our virtual program for you. Bringing industry experts from Standard sprang from Associated Bank from Hardy Davidson and also from IBM Global Data >>Office Chief Data Office >>sharing their experiences discussing the why the what and the how, as well as discussing the questions like, Is there the best time to implement today the ops program? More importantly, you will have a chance to chat with the crowd and with these experts and subject matter experts and beyond During 30 minutes asking your questions, sharing your insights, it will be a very fulfilling learning experience for you. We're looking forward to seeing you there. Stay well. Stay safe. >>Thank you.

hi everyone my name is alia özkan I'm the data operations data ops global marketing leader at IBM we are all going through challenging times especially the industry we cannot control what we cannot but there are still things that we can control there are two things that we can do if unless you are on the front lines the first thing is social distancing it's a personal accountability the second thing is skills improvement we can do improve our skills for today and tomorrow whether whether that is new normal or the normal iBM is helping you to improve your skills by bringing you IBM's biggest events think for free virtually it is starting on May 5th and 6:00 we will be covering areas such as IT resiliency business continuity Casas risk management digital transformation journey to AI multi cloud environments and how we are all connected with the digital platforms hope you can join us to sharpen your skills for sure you will need it more and more today and tomorrow please please stay safe stay well thank you