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Kinetica to Discuss GPU-powered Analytics for the Extreme Data Economy at Strata Data Conference in New York City

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Kinetica, the insight engine for the Extreme Data Economy, today announced it will be exhibiting (Kinetica booth #1121) and Michael Mahoney, Worldwide Vice President of Solution Engineering, will be speaking at the 2018 Strata Data Conference in New York City. Michael’s session, titled, “Speed, scale, smarts: GPU-powered analytics for the extreme data economy” will be held on Wednesday, September 12, 2018.

The session will discuss the rapid increase in the volume, complexity and unpredictability of data and educate attendees on the power of GPUs to solve those complex data challenges. Kinetica recently announced that it is taking steps to bring advanced analytics, artificial intelligence and its GPU engine to the global automotive industry. Michael will demonstrate the power of GPUs to converge streaming data analysis, location analysis and streamlined machine learning with a single engine and will share real-world case studies during his session.

What: 2018 Strata Data Conference

“Speed, scale, smarts: GPU-powered analytics for the extreme data economy”

When: Wednesday 12, 2018 – Session time: 2:55 PM EDT

Where: Javits Center, New York, NY – 1A 04/05

Who: Michael Mahoney, Vice President, Solution Engineering, Kinetica

Additionally, Kinetica will demonstrate a number of use cases for its GPU-powered advanced analytics at its booth (#1121) at the Strata Data Conference.

  • NVIDIA + Kinetica Save the Honey Bee with Machine Learning
  • Smart City Analytics: Visualize the City of London Transit live. Analyze real-time streaming data via London’s public API.
  • Cyber Security Tracking: Analyze and visualize billions of network packet data to detect and prevent malicious behavior and take action against cyber security threats
  • Autonomous vehicle (AV) Compliance Reporting: Track & analyze AV prototype road test data! Come see how Kinetica is changing the game for regulatory compliance reporting for some of the world’s largest auto manufacturers
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