Skip to content
Kinetica in Motion
The Kinetica Blog

What's New

Go to:

TensorFlow bundled with Kinetica – Distributed deep learning now available to the enterprise

By Manan Goel | June 13, 2017

Today, we’re excited to announce that TensorFlow™ — the industry’s leading open-source library for machine intelligence — now comes bundled with Kinetica. This will make it easier for enterprises to take advantage of distributed deep-learning as part of a cohesive database solution. TensorFlow is rapidly becoming the go-to open-source library for machine intelligence and deep…

How Does a GPU Database Play in Your Machine Learning Stack?

By Ben Campbell | May 12, 2017

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…

“ETL is dead” – Five Big Statements from Kafka Summit

By Manan Goel | May 12, 2017

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…

Machine Learning and Predictive Analytics in Finance: Observations from the Field

By James Dilworth | May 1, 2017

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…

8 Trends in High-Performance Analytics – Insights from Forrester

By Michele Nemschoff | April 24, 2017

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…