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Announcing Kinetica 6.2 – augment your traditional OLAP with streamlined machine learning

By Dipti Borkar | May 2, 2018

In the new era of the Extreme Data Economy, companies across many industries are utilizing data as an asset, above and beyond any product or service they offer. Yet unprecedented agility is required to operationalize artificial intelligence, keep business in motion and succeed in today’s post-big data economy. To enable this level of responsiveness, we…

Building The Data-Powered Bank For The Extreme Data Economy

By Bryan Morris | April 27, 2018

Despite rapid innovations in accelerated parallel computing and machine learning, many banks have yet to make the leap from the big data era into the Extreme Data Economy, and the gap between the data-aware bank and the data-powered bank is widening. Closing this gap requires much more than continued investment in legacy big data band-aids. Banks need…

Building Extraordinary Customer Experiences Across The Digital And Physical Data Omniverse

By Daniel Raskin | April 18, 2018

In 2012, Everlane CEO Michael Preysman told the New York Times, “We are going to shut the company down before we go to physical retail.” Everlane, often called “J. Crew for millennials,” was established in 2011 as an online, direct-to-consumer brand that sells clothing made in factories with ethical conditions. On December 2nd, 2017, five…

Thriving In The Extreme Data Economy

By Paul Appleby | April 10, 2018

The leader of one of the world’s largest manufacturing economies, Angela Merkel, said at the recent World Economic Forum that “data will be the raw material of the 21st century.” It is clear that we are in a world where data has become the business. What do I mean by that? Historically, businesses were validated…

How to Deliver an Omnichannel Customer Experience by Leveraging Geospatial Data

By Joe Lee, VP, Asia Pacific Japan | March 29, 2018

In the last few years, more and more data has become available from sensors, customer’s devices, and transactions—much of it with time and location information. Organizations are eager to analyze this goldmine of information and visualize the results on maps. However, if you’ve ever tried to leverage this data with a traditional database, you most…

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