The growing waves of data that you’re pulling in include sensitive, personal or confidential data. This can become a compliance nightmare, especially with rules around PII, GDPR and CCPA, and it takes too much time to manually decide what should be protected. In this session, we will show how AI-driven data catalogs can identify sensitive data and share  that identification with your data security platforms to automate its discovery, identification and security.  You'll see how this dramatically reduces your time to onboard data and makes it safely available  to your business  communities.

Struggling to extract insights and actionable intelligence from your data? With more data science and analytic solutions available today, do the handoffs among data scientists, IT and the business continue to disrupt your analytics value chain or are they becoming even more difficult? We’ve seen this cause “data despair” and decelerate investments in analytics and machine learning projects. In fact, only a quarter of organizations believe that they are actually building the “data culture” that fosters success.

Like most enterprises, you are generating huge volumes of structured, semi- and unstructured data at edge devices, core data centers and even public clouds. How can you more easily manage your data across all your repositories and avoid delaying your applied use of analytics? Our answer is to weave a multicloud data fabric for you that simplifies connecting data repositories from the edge to the core and to the cloud. This helps you gain quicker business insights with a scalable and cost-effective approach. Join this session to get an in-depth view of our upcoming Lumada Data Services product vision and strategy.

You see the clear and immediate value in DataOps, but your opinion is not the only one that matters. You need  your team, your colleagues and your business partners to see that value too – or the project  won’t move ahead. In this  session, you'll learn the tips and techniques for building an inclusive story.  We'll discuss techniques of Design Thinking you can use to translate very technical concepts into business value and outcomes. You will  learn  practical ways to communicate the value in your DataOps initiative and ensure that it delivers that value when you  Implement it.

Join two data engineers and analysts in pulling back the curtain on real customer engagements, showing how to select and implement advanced data science and analytic techniques. In this session we will discuss our implementation of two data science models at a large agricultural products manufacturer: a propensity-to-buy model and a recommendation engine. We will discuss how each of these models works and how they were implemented for our client.

Many of us working in system design and development spend our careers without seeing what "good" really looks like. Learn how continuous delivery changes the economics of data and software for some of the biggest companies in the world.

DataOps matters, especially in today’s uncertain times. Data management and analytics are crucial to respond faster and drive results for your business, your customers and society. That’s why we built DataOps.NEXT to help you get from now to what’s next, with data. We’ll bring out Dr. Jennifer Hall, the chief of data science for American Heart Association (AHA) to discuss how Hitachi Vantara and AHA have worked together to support research for COVID-19. Tune in for Pedro Alves, Hitachi Vantara’s head of product design and designated “Community Guy.” He’ll provide our vision and strategy for DataOps, including an update on Pentaho Open Source and Enterprise Edition