Co-founder and CEO Keshav Pingali to Deliver Keynote Address on Graph Computing
AUSTIN, TX - Katana Graph, the high-performance scale-out graph processing, AI and analytics company, announced today that Keshav Pingali, CEO and cofounder, will be a keynote speaker next week at the Knowledge Graph Conference. Dr. Ying Ding, advisor, will also be presenting at the four-day virtual event, which takes place from May 3 to May 6.
The Katana Graph team will draw on their collective years of experience in both academia and business to help bridge the gap between research and industry, discussing how graph computing technologies can extract actionable insights from massive unstructured data sets at breakthrough levels of scale and performance.
“Organizations worldwide are sitting on a goldmine of large, unstructured datasets. Graph computing is becoming the standard solution to extract insights from these datasets and unlock their value,” said Keshav Pingali, CEO and cofounder of Katana Graph. “The Knowledge Graph Conference provides us with the opportunity to showcase Katana Graph’s innovations, and we look forward to engaging with industry leaders to demonstrate our technology and help companies benefit from it.”
Presentation Details:
Presentation 1: High-Performance Knowledge Graph Computing on the Katana Graph Engine
Keynote Presenter: Keshav Pingali, CEO and cofounder
Highlights: Learn how companies use graph computing and machine learning to exploit enterprise data for transformational analytics
When: May 5, 8.30am CT/9.30am ET
Presentation 2: Katana Graph Solutions: Scalable Graph Search and Graph Mining
Presenter: Dr. Ying Ding, Advisor
Highlights: Learn how graph is being applied for enterprise applications in life sciences, financial services and other industries
When: May 5, 10.30am CT/11.30am ET
Katana Graph will be joining executives from organizations including Accenture, Amazon, AstraZeneca, Facebook, Google Research, Microsoft, Northeastern University, Verizon Media and many others as speakers at the event. For further information about The Knowledge Graph Conference, visit: https://www.knowledgegraph.tech.
