MEET THE HOSTS: Saif Ahmed, Product Owner,Machine Learning, Kinetica & Scott Little, Machine Learning Intern, Kinetica
Intelligent mapping apps can route us based on traffic, tolls, and other basic factors, but don’t we all wish they could automatically take into account the most beautiful route, the safest, or the one with the best restaurants along the way? In this Tech Talk, we’ll discuss leveraging Kinetica’s converged analytics to ingest, process, visualize, and inference millions of images to determine the most scenic route possible.
IN THIS TECH TALK WE WILL COVER:
- Deploying machine learning models and semantic segmentation at scale with Kinetica
- Mapping millions of images and inference to determine the best route
- Live demo of Kinetica’s converged analytics, which avoids integration of multiple complex systems with NxM interfaces
- Why Kinetica for this build
