Coupling knowledge graphs with high performance computing enables organizations to not only avail themselves of sophisticated techniques to optimize AI, but also employ it at the scale and speed of contemporary data demands.
In the twelve months since its launch the company has raised $28.5 million in a round led by Intel Capital and secured clients in the pharmaceutical, financial services, security and electronic design automation sectors.
Katana Graph announced today that Keshav Pingali, CEO and cofounder, will be a keynote speaker next week at the Knowledge Graph Conference.
Katana Graph seeks to take on those headaches of unstructured data on behalf of its clients, with technology designed to ingest large datasets and extract valuable insights.
Katana Graph announced it has optimized its graph engine for the new 3rd generation Intel Xeon scalable processor and memory systems.
Graph computing leader’s solution runs more than twice as fast
on 3rd Generation Intel Xeon Scalable processors and Intel memory architecture.
Katana Graph announced today that it has completed a $28.5 million Series A financing round led by Intel Capital with participation from existing and new investors.
Graph analytics is finding innovative applications in financial services, healthcare, pharmaceutical, telecom, and other industries.
Graph analytics is gaining favor for business applications in which insights must be derived from massive unstructured, connected datasets.
The Katana Graph Engine (KGE) provides unmatched compute capability for processing even the largest graphs such as web-crawl graphs with billions of vertices and trillions of edges.
Katana Graph announced its collaboration with Intel to port and optimize the Katana Graph Engine (KGE) on Intel Xeon Scalable processors and Xeon-based clusters.