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EDW Webinar: A Sneak Peek at Enterprise Data Innovations

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As enterprise data management becomes increasingly important, fresh new perspectives become even more valuable in order to gain an advantage and differentiate your organization. In this webinar …

As enterprise data management becomes increasingly important, fresh new perspectives become even more valuable in order to gain an advantage and differentiate your organization. In this webinar program you’ll hear from four new and innovative enterprise-class data management companies that are providing new that much-needed fresh perspective. Each solution will be discussed in a 10-minute overview and you’ll have a chance to ask questions of each speaker.

Each of the companies presenting will also be at the upcoming Enterprise Data World Conference in Austin, on April 27-May 1.

The exciting solutions you’ll see in this webinar are:

Enterprise Web

Jason Bloomberg, Chief Evangelist

Single, stable data models don't adequately represent the way that business - or people - understand and use information. Every department, in fact, every interaction, has its own business context. And furthermore, the business context is inherently dynamic. Information is inherently context-sensitive and always in flux. Expecting any organization to shoehorn their information into some techie ideal of a master data model is woefully unrealistic. The solution: manage business data in a way that maintains dynamic business context.

Splice Machine

Rich Reimer, VP of Product and Marketing

Hadoop users have been frustrated by lack of familiar SQL access to data. Splice Machine offers the only full-featured SQL database on Hadoop with real-time updates and ACID transactions, which is disrupting the traditional database market and moving Hadoop beyond analytics into real-time applications.

Saffron Technology

Walt Gall, VP of Sales

Just like our brains work cognitive computing platforms like Saffron combine current information with prior knowledge to understand what’s similar and different so you can anticipate what will happen next and how to best respond to a current situation. Brain-like natural reasoning systems bridge the gap between mathematical optimization and machine learning reasoning so knowledge workers can solve some of their most complex problems for faster insight to drive better decisions. This presentation will look at the cutting edge world of cognitive computing platforms where very few players compete and not just IBM Watson.

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