Kinetica In Motion

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....

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....

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....

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....

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....

Here at Kinetica, we are excited to partner with NVIDIA to drive innovation around the next big step in the evolution of big data–a trend that is garnering a huge amount of industry attention: GPU-accelerated analytics....

You have questions. We have answers! As we pave a new market for hardware-accelerated databases, we’re frequently running into the same questions with eager-to-learn prospects and researchers....

Kinetica’s recent webinar with NVIDIA discussed using GPUs to efficiently and quickly ingest, explore, and visualize streaming datasets in new commercial use cases....

How do you uncover security threats from billions of different signals when time is of the essence?...

Companies are facing some significant challenges when it comes to simplifying their streaming architectures....