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Go to:Machine learning (ML) has become one of the hottest areas in data, with computational systems now able to learn patterns in data and act on that information. The applications are wide-ranging: from autonomous robots, to image recognition, drug discovery, fraud detection, etc. At the cutting edge is deep learning, which draws its inspiration from the…
This week, over 500 technologists – from enterprises such as BNY Mellon, Goldman Sachs, Google, ING, Target and many more – came together at Kafka Summit to learn and share tips in working with and getting value from high-speed data. At the event it was evident there is growing interest in instantaneous insights, and how…
Financial institutions have long been on the cutting edge of quantitative analytics. Trade decisioning, risk calculations, and fraud prevention are all now heavily driven by data. But as the volume of data has grown, as analysis has become ever more sophisticated, and as pressure builds for timely results, computation is more and more of a…
Forrester, as a guest of Kinetica, held a webinar this month about how digital business is driving rapid expansion and sophistication of data and insight, and why it’s necessary to augment traditional CPU-bound analytics with GPUs, in-memory processing, and machine learning. Michele Goetz, Principal Analyst at Forrester Research, and Kinetica’s Manan Goel, VP of Products…
We’re thrilled to announce that we have partnered with Safe Software to create FME connectors that make it possible for you to easily read and write data from Kinetica into and out of FME workspaces. If you’re a current FME customer, this means you can now move your Esri data into Kinetica so that you…
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