WEBINAR:

BRING YOUR OWN STREAM: DEPLOYING ALGORITHMS CLOSER TO DATA FOR REAL-TIME ANALYSIS  

NimaNIMA NEGAHBAN
Founder & CTO
Kinetica
 
tim-barrTIM BARR
Director - Federal Solution Engineering
Kinetica
 
DATE / TIME: Thursday, October 22, 9 AM PT l 11 AM BST l 11 AM SGT
 
MEET THE HOSTS: Nima Negahban - Founder & CTO - Kinetica, Tim Barr - Director, Federal Solution Engineering - Kinetica
 
The growth of streaming data sources is driving the need for real-time geospatial, graph analytics, and machine learning capabilities at scale. These high velocity use cases require a streaming data warehouse, a platform delivering up-to-the-second analysis on data as it arrives. Learn why legacy systems won’t hold up and why the Kinetica Streaming Data Warehouse is suited for real-time analysis and high-velocity, high-scale use cases.
 
DURING THIS WEBINAR WE WILL COVER:
  • Best practices for developing a system architecture for a streaming data warehouse
  • Integrated model training with NVIDIA RAPIDS
  • Autonomous Kubernetes orchestration
  • Comprehensive model auditing
  • Accelerated geospatial and graph analytics at scale using the raw processing power of the NVIDIA GPU
  • Example implementations from our work with federal clients, including the Department of State and the U.S. Postal Service, where we optimize routes in real-time for carriers and 250,000+ vehicles

REGISTER 9AM PT REGISTER 11AM BST REGISTER 11AM SGT