Kinetica in Motion
These days, practically any BI tool might claim to query billions of rows. However, I’ve yet to see any BI tool, out of the box, do this in sub-second time using SQL query…until now. As a matter of fact, in …Read More
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. GPU-acceleration is opening new possibilities for machine learning, …Read More
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.…Read More
As more and more data becomes available from sensors, from customers, from transactions—much of it with time and location information—there are increasing demands to analyze these data sets and visualize the results on maps.
But today’s geospatial toolsets are hardly …Read More
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. Classic decision tree or regression tree algorithms …Read More
Today, we’re excited to unveil Kinetica database v6.0.1, which bundles TensorFlow™, the industry’s leading open-source library for machine intelligence, to bring distributed deep learning to the enterprise.
TensorFlow is rapidly becoming the go-to open-source library for machine intelligence and …Read More
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. The applications are wide-ranging: from autonomous robots, to image recognition, drug discovery, fraud …Read More
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. …Read More