Image Title

Search Results for Nishida:

Data Cloud Catalysts - Women in Tech


 

>>thank you. You know, haven't been in technology my entire career. Uh, technology and data has really evolved from being the province of a few and an organization to frankly being critical to everyone's business outcomes. Now, every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation. Probably the last 57 years we've all talked about disruptor be disrupted. At the core of that digital transformation is the use of data, data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So Data has involved as being, I would say, almost tactical in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. Mhm. >>No. Yeah, I I agree with Lisa. It has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology. Every business is now a technology business. Every business is a data business. It is the way that they go to market, shaped the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in health care doesn't matter. Right? Data is necessary for every business to survive and thrive. And I remember at the beginning my career It was you know, data was always important, but it waas about storing data. It was about giving people individual reports. It was about supplying that data toe one person or one business unit in silos, and it then evolved right over the course of time into integrating data and to saying, Alright, how does one piece of data correlate to the other? And how can I get insights out of that data now? It's gone to the point of how do I use that data to predict the future? How do I use that data toe automate the future? How do I use that data? Not just for humans to make decisions, but for other machines to make decisions right, which is a big leap, Onda big change and how we use data, how we analyze data and how we use it for insights and evolving our businesses. Yeah. >>Yeah. Well, since I'm on the snowflake board, I'll talk a little bit about the snowflake data cloud. You know, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data into combined with your own data, and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And it's a simple is that, uh I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, uh, collaboration tools, workflow tools for their workers to get their jobs done. You know, it used to be as prior, people have mentioned that in order thio work with data. You have to be a data scientist. But, you know, I was an auditor back in the day, and we used to work on 16 columns, spreadsheets. And now, if you're an accounting major coming out of college, joining an auditing firm, you have to be checked and data savvy because you're going to be extracting, manipulating, analyzing and auditing data that massive amounts of data that sit in your client's I T systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection. But it's actually their data. There are 360 degree view of the customer, and so, if you're a merchant or urine strategy or marketing or talent or the co CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with. Data. >>Yeah, absolutely. You know, most enterprises today are, I would say, hybrid multi cloud enterprises. What does that mean? That means that we have data sitting on Prem. We have data sitting in public clouds through software. As a service applications. We have a data everywhere. Most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that data cloud is addressing is the area around data portability and mobility because I have data sitting in various locations through my enterprise. How doe I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes and a blue shield of California. One of our key initiatives is what we call an experience cube. What does that mean? It means how doe I drive transparency of data between providers, members and payers so that not only do I reduce overhead on providers and provide them a better experience our hospital systems or doctors, But ultimately, how do we have the member have at their power of their fingertips the value of their data holistically so that we're making better decisions about their health care? You know, one of the things Teresa was talking about was the use of this data, and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build a I models to really drive and tackle these tough hold, tougher challenges, business problems that we may have in our environments. But everybody in the company, both on the I T side both on the business side really need to understand. Of how do we become a data insights driven enterprise? Put the power of the data into everyone's hands so that we can accelerate capabilities right and leverage that data toe ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership, is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California took, >>oh, great question. And I am so passionate about this for ah, lot of reasons, not the least of which is I have two daughters of my own. Andi, I know how important it is for women and young girls. Toe actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early start in early education, building confidence of young girls that they can do this showing them role models. You know, we have Deloitte just partnered with L. A B engineer toe actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes and text solve everyday problems on DSO, really helping to get people's minds around Tech is not just in the back office coating on a computer. Tech is about solving problems together. That helped us a citizens as customers, right and as humanity s. So I think that's important. I also think we have to expand that definition of tech. As we just said. It's not just about right database design. It's not just about, you know, Java and python coding. It's about design. It's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say, Look, we have a absolute imperative to get a diverse population of people, not just women but minorities. You know, those with other types of backgrounds, disabilities, etcetera involved because this data is being used to drive decision making, and if we're all involved right and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just because we haven't involved a diverse enough group of people around it. Absolutely. Lisa. Curious about your thoughts on this? >>I agree with everything that she has said. I've been passionate about this area. I think it starts with First. We need more role models way. Need more role models as women, uh, in these leadership roles throughout various sectors, and it really is. It starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility. I think all of us as female executives that if you have exceeded the table toe leverage that seat at the table to drive change, to bring more women forward, more diversity forward into the board room and into our executive suites. I also want to touch on a point that she had made about women were the largest consumer group in the company. Um, yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is, and I agree that it starts with their young girls. We know the data shows that we lose our young girls by middle school. Very heavy peer pressure. It's not so cool to be smart to do robotics or be good in math and science. We start losing our girls in middle school, so they're not prepared when they go to high school. And they're not taking those classes in order to major in these stem fields in college. So we have to start the pipeline early, Um, with our girls. And then I also think it's a measure of what your boards air doing. What is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of effort. One of the things that certainly is concerning to me is during this pandemic. I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. What? Yeah, >>um, I'd encourage you to view to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles. Opening your network, giving very candid feedback. And we need men to participate to. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >>Let's say Look around your teams, see who's on them and make deliberate decisions about diversifying those teams as positions. Open up. Make sure that you have a diverse set of candidates. Make sure that there are women that are part of that team on DNA. Make sure that you are actually hiring and putting people into positions based on potential, not just experience. >>Wow, it's hard Thio with Nishida and with Tricia shared, I think we're very powerful actions. I think it starts with us, uh, taken action at our own table, making sure you're driving diverse panels and hiring um, setting goals for the company. Having your board engaged in holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >>Yeah, but

Published Date : Nov 20 2020

SUMMARY :

in some sense over my technology career to really being a strategic And I remember at the beginning my career And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker both on the business side really need to understand. and boys in the early elementary age to talk about how heroes and text at the table to drive change, to bring more women forward, more diversity forward And so we need you to be part of the solution. Make sure that you have a diverse set of candidates. and driving to those goals will help us all see a better outcome with

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
TriciaPERSON

0.99+

LisaPERSON

0.99+

TeresaPERSON

0.99+

NishidaPERSON

0.99+

360 degreeQUANTITY

0.99+

16 columnsQUANTITY

0.99+

two daughtersQUANTITY

0.99+

ThioPERSON

0.99+

oneQUANTITY

0.99+

DeloitteORGANIZATION

0.99+

CaliforniaLOCATION

0.99+

OneQUANTITY

0.99+

bothQUANTITY

0.99+

JavaTITLE

0.99+

pythonTITLE

0.98+

850,000 womenQUANTITY

0.98+

FirstQUANTITY

0.98+

one personQUANTITY

0.98+

one pieceQUANTITY

0.97+

todayDATE

0.97+

one business unitQUANTITY

0.96+

L. A BORGANIZATION

0.96+

Blue ShieldORGANIZATION

0.93+

last four monthsDATE

0.93+

four womenQUANTITY

0.92+

Warby ParkerORGANIZATION

0.91+

pandemicEVENT

0.87+

last 57 yearsDATE

0.77+

PremORGANIZATION

0.48+