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Katana Graph's engines are being used in pharmaceutical research to help narrow down which molecular compounds should be tested in the lab, epidemiological tracking of COVID-19.
The knowledge graph is the best resource for bringing data together to reveal the relationships between edges, nodes, connections and links.
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Knowledge graph dependence parallels that of Artificial Intelligence. Businesses will need to evaluate massive amounts of data for insights to make critical decisions.
The Katana Graph Engine shines by executing graph analytics applications on heterogeneous clusters of CPUs and GPUs, providing industry-leading performance.
Many industries can benefit from Katana Graph’s technology, but the company is limiting itself to a few sectors so they maximize competencies.
Katana is fusing graph technology with machine learning to build a platform for high-speed computing on massive graphs, using large clusters of computers.
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.