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Go to:These notes are from our recent webinar, “The AI Database – A Prerequisite to Operationalizing Machine and Deep Learning.” with guest Speaker, Mike Gualtieri, VP & Principal Analyst for Forrester, and Kinetica’s Mate Radalj, VP of Advanced Technology Solutions The world of AI is changing life as we know it. From building smart cities to…
We exist in a world where data is being generated at an exponential rate. Many of these datasets contain time and location information that provide context to the data. Location is the glue that enables us to see new patterns from growing collections of information. Most notably, location-aware datasets also allow us to discover patterns…
GPU acceleration is changing the game for fast, location-based analytics. Why? The unique multi-core architecture of GPUs makes it possible to process many computations efficiently and quickly. In fact, the breakout success story this year is around IoT uses cases with GPU databases that “push real-time streaming use cases to the front burner,” according to Ovum’s 2017 Trends…
The new O’Reilly book, Introduction to GPUs for Data Analytics, co-authored by our own Eric Mizell is now available! This is the first book to outline how advances in accelerated computing technology can be leveraged to address current and future database and big data analytics challenges. This book is available for download as an ebook from Kinetica. Or,…
Next-generation GPU computing is opening new opportunities for intelligent, real-time analytics within the Financial Services industry. It is widely reported that in the early 1800s, the Rothschild banking family of France set up a vast network of pigeon lofts spread across Europe, and deployed a prized coop of racing pigeons to fly between its financial…
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