What's New
Go to:Auf Wiedersehen Germany! Last week we wrapped up a highly successful GPU Technology Conference (GTC) Europe in Munich! GTC is NVIDIA’s international conference series, bringing together the top minds in deep learning, analytics, and of course GPUs for sessions, workshops, keynotes, and more. This was the place to be for any and all European organizations…
In a significant step forward in enabling the adoption of AI at scale, NVIDIA today announced their latest GPU-powered innovation for data science, the RAPIDS suite of open-source libraries. RAPIDS will allow data scientists to move workflows for model training and iteration onto the GPU. Previously, enterprises had to make major investments in CPU infrastructure…
Introduction This tutorial describes the application of Singular Value Decomposition or SVD to the analysis of sparse data for the purposes of producing recommendations, clustering, and visualization on the Kinetica platform. Sparse data is common in industry and especially in retail. It often results when a large set of customers make a small number of…
How can we avoid the data science black hole of complexity, unpredictability, and disastrous failures and actually make it work for our organizations? According to this recent Eckerson article the key is operationalizing data science: We, as a field, and I mean academics, scientists, product developers, data scientists, consultants … everybody … need to redirect…
I’m excited to share that Kinetica’s now a bronze member of Automotive Grade Linux (AGL)! AGL is a collaborative open source project that’s bringing together automakers, suppliers, and technology providers to accelerate development and adoption of connected vehicle services. Members include Toyota, Honda, Mazda, Mercedes, Mitsubishi, Suzuki and many other key automotive players. The goal…
In the press
