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Five Minute Briefing - Information Management
May 22, 2019

Five Minute Briefing - Information Management: May 22, 2019. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.

News Flashes

In a keynote at Data Summit 2019 titled "Digital Transformation Is Business Transformation: How to Incorporate AI Technology Into a 130-Year-Old Company" Helena Deus, technology research director, Elsevier, showcased how the company combines content and data with analytics and technology to help researchers to make new discoveries and have more impact on society, and clinicians to treat patients better and save more lives.

DataOps is an emerging set of practices, processes, and technologies for building and enhancing data and analytics pipelines to better meet the needs of the business. The list of failed big data projects is long. They leave end users, data analysts, and data scientists frustrated with long lead times for changes.

The second day of Data Summit 2019 opened up with "Data and Donuts," a presentation featuring Paul Wolmering, VP worldwide sales engineering, Actian Corporation. His discussion focused on next-generation cloud data warehousing and what it takes to deliver insights from real-time data economically and at scale with hybrid data regardless of location, in the cloud, on-premises or both.

There are new technologies that contribute to speed and scale of a modern data platform. But as data size and complexity increase with Big Data, data quality and data integration issues must still be addressed. At Data Summit 2019 Prakriteswar Santikary, VP & Global Chief Data Officer, ERT discussed how to create the architecture of a modern, cloud-based, real-time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources, during his presentation, "Designing a Fast, Scalable Data Platform."

As we move into a new computing era, technology has outstripped society in its ability to up-end labor markets and industries, as well as personal lives. In a panel discussion at Data Summit 2019, Sue Feldman, president, Synthexis, David Bayer, Executive Director, Cognitive Computing Consortium, Tom Wilde, CEO, Indico, and Steven Cohen, COO, co-founder, Basis Technology, explored the ethical and legal issues that computing advances have raised.

Container usage is now being adopted by organizations of all sizes, from small startups to companies with huge, established microservices platforms. At Data Summit 2019 Jeff Fried, director of product management, Intersystems and BA Insight, MIT, and Joe Carroll, product specialist, InterSystems, presented their session, "Understanding Database Containerization," focusing on helping practitioners navigate the minefield of database containerization and avoid some of the major pitfalls that can occur.

AI is already having a significant impact for the U.S. government, including defense and intelligence community use cases, and is also providing game-changing capabilities for global enterprises in a range of industries, including financial services, life sciences, and technology. In a presentation at Data Summit 2019,  titled "Solving Business Problems in Government, Financial Services," Amy Guarino, COO, Kyndi, offered real-world examples of how AI is driving measurable benefits in a range of industry sectors, and discussed the importance of explainable AI to regulated industries like financial services and healthcare, where being able to justify the reasoning behind algorithmic decisions is essential.

At Data Summit 2019, Jay Benedetti, global solutions director of CloverDx, explained the importance of achieving a 360-degree view of the customer and how that begins with a  successful integration strategy. Benedetti shared two different case studies, one in B2B and another in B2C that CloverDX worked on, helping organizations to achieve a panoramic view of the customer  to achieve their business goals and enabling them to bring in more data as they grow in the future.