Kinetica in Motion

The Kinetica Blog
Ken Wattana
Ken Wattana

GPUs in Germany, a Recap from NVIDIA GTC Europe

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, …

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Chad Juliano
Chad Juliano

Kinetica Sparse Data Tutorial

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 …

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Dipti Borkar
Dipti Borkar

Moving AI From Science Experiment To The Mainstream

For AI to become mainstream, it will need to move beyond small scale experiments run by data scientists ad hoc.

The complexity of technologies used for data-driven machine and deep learning means that data scientists spend less time developing algorithms …

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Vasu Cherlopalle
Vasu Cherlopalle

Can Big Data Alone Keep Up With Ad Tech?

Ad tech is unique, with its own distinct requirements and constraints. Digital advertising is becoming increasingly transacted via programmatic means, which demands technology that can not only accommodate extreme data volumes, but that can also process the data at the …

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Chad Juliano
Chad Juliano

Kinetica with JupyterLab Tutorial

Introduction

JupyterLab is an integrated environment that can streamline the development of Python code and Machine Learning (ML) models in Kinetica. With it you can edit Jupyter notebooks that integrate code execution, debugging, documentation, and visualization in a single document …

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