5 MINUTE BRIEFING INFORMATION MANAGEMENT

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Five Minute Briefing - Information Management
May 23, 2018

Five Minute Briefing - Information Management: May 23, 2018. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.


News Flashes

As organizations undergo digital transformation to analyze and query large amounts of data at high speeds, they are increasingly leveraging graph databases to illuminate information about connections. The result is that 2018 will be a big year for graph technology, according to Sean Martin, CTO of Cambridge Semantics, and Scott Heath, CRO, Expero.

Blockchain is more than just a new buzzword. Blockchain is a distributed ledger technology that is most commonly known for enabling the cryptocurrencies and payment networks. Gurdeep Kalra, principal consultant, Infosys, Srikanth Challa, senior director, Blockchain, Infosys Ltd., and Minollo(Carlo Innocenti), software architect, Oracle, presented their session, "Blockchain 101 with Oracle Cloud" during Data Summit 2018.

In financial services, the ability to spot fraud faster can be a key differentiator. At Data Summit 2018, Karun Komirishetty, senior manager, Software Engineering, Capital One, presented a session on how Capital One has created a fraud engine for Zelle payments, which are replacing traditional forms of payments such as checks, cash, and credit cards.

Data intelligence about people, places and things, along with the connection between physical and digital addresses has a serious impact on understanding customers.

DataOps is emerging as a methodology for data scientists, developers, and other data-focused professionals to enable an agile workflow while also adhering to data governance requirements. Kellyn Pot'Vin-Gorman, Technical Intelligence Manager, Delphix, presented her session, "Making Big Data Bite-Size with DataOps" on Wednesday, May 23, 2018 during Data Summit 2018. Pot'Vin-Gorman discussed how to move from simple DevOps with tools and automation, while making the data central to the solution.

With the rise of big data, there is the need to leverage a wider variety of data sources as quickly as possible for real-time decision making in mission-critical environments.

Machine learning can be applied to sentiment analysis of unstructured data in the context of social media. As more and more people tap into social media tools to voice positive and negative opinions, it's important to predict a social media "crisis" before one occurs.

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