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Intel: Computer Vision at the Edge

Join this session to learn how the joint integration between TIBCO LABS’ Project AIR and Intel’s Video Analytics Serving (VAS) Framework can be used for real-time sensor fusion scenarios. Machine learning algorithms at the edge are being applied to streaming data and computer vision feeds for inferencing and taking immediate action on specific events. Learn how to easily extend this flexible platform to address a wide range of scenarios and use cases, such as self checkout and loss prevention in retail.

Get more insights from TIBCO Analytics Forum 2021.

Intel: Computer Vision at the Edge
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3 vs. 10-12

Months to develop a real-time system with TIBCO Streaming vs. open source

1

centralized source of information, down from 10

$300K SAVINGS/MONTH

In electricity consumption via analytic-driven asset utilization

22 PERCENT INCREASE

In revenues via price optimization, cross-sell, and fraud detection