Kinetica Blog
12 Features to Look for When Choosing a GPU-Accelerated Analytics Database
GPU acceleration is revolutionizing high-performance computing. Leveraging GPUs for processing-intensive workloads is on the rise, particularly among verticals such as finance, retail, logistics, health/pharma, and government....
How GlaxoSmithKline Uses Kinetica to Manage Their R&D Information Platform
Mark Ramsey, SVP, R&D Data, at GlaxoSmithKline, spoke at a recent IBM/Kinetica executive breakfast, where he discussed how GSK uses GPUs and Kinetica to help transform the way that data is used as a strategic asset within their R&D organization....
Five examples where GPU databases are bringing ‘real-time’ to IoT analytics
If your organization manages large volumes of streaming IoT data, you’ll no doubt be familiar with some of the challenges of getting value and insight from these high volume, moving datasets....
Kinetica Secures Series A Investment of $50 Million
Today we’re pleased to announce that Kinetica has closed a $50M Series A funding round....
Bring Your Own Compute (BYOC) – How In-database Analytics on the GPU Unlocks the Potential of Machine Intelligence in Finance
Compute analytics in financial services have evolved over the past decade. Popular tools for forecasting and assessing risk like statistical functions involving linear regression, logistic regression have given way to more sophisticated models....
TensorFlow bundled with Kinetica – Distributed deep learning now available to the enterprise
Today, we’re excited to announce that TensorFlow™ — the industry’s leading open-source library for machine intelligence — now comes bundled with Kinetica....
How Does a GPU Database Play in Your Machine Learning Stack?
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....
“ETL is dead” – Five Big Statements from Kafka Summit
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....
Machine Learning and Predictive Analytics in Finance: Observations from the Field
Financial institutions have long been on the cutting edge of quantitative analytics....
8 Trends in High-Performance Analytics – Insights from Forrester
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....