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Five Minute Briefing - Information Management
May 20, 2019

Five Minute Briefing - Information Management: May 20, 2019. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.

News Flashes

Data science, the ability to sift through massive amounts of data to discover hidden patterns and predict future trends, may be in demand, but it requires an understanding of many different elements of data analysis. Extracting actionable knowledge from all your data to make decisions and predictions requires a number of skills, from statistics and programming to data visualization and business domain expertise.

DataOps is a modern engineering practice that can improve the speed and accuracy of analytics. In a pre-conference workshop at Data Summit 2019, Mark Marinelli, head of product at Tamr, identified the processes, technologies, and roles involved in DataOps to improve the speed and availability of data for analytics—as well as the common pitfalls to avoid. 

It was hard enough to manage IT infrastructures when everything was on-premise only. But today, with combined on-premise deployments, say Michael Corey, co-founder, LicenseFortress, and Don Sullivan, system engineer database specialist, VMWare. In their Data Summit 2019 presentation, "Straight Talk on the Cloud License Landscape," Corey and Sullivan walked attendees through the steps to take to help stay compliance with software licensing rules, how to avoid and audit, and what to do if it happens.

Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled "Designing a Data Architecture for Modern Business Intelligence & Analytics," Richard Sherman, managing partner, Athena IT Solutions, looked at the current state of analytics and what needs to change.

Machine learning (ML) is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. At the same time, most projects are still in the early phases. From selecting data sets and data platforms to architecting and optimizing data pipelines, there are many success factors to keep in mind.

At Data Summit 2019, Susan E. Feldman, president, Synthexis, and David Bayer, executive director, Cognitive Computing Consortium, offered an overview of key cognitive computing considerations in a workshop titled "Cognitive Computing 101."