Advanced Analytics and Machine Learning with Geospatial Data: A World of Possibilities
As data sources such as sensors, social media, mobile, cloud, and machine logs become pervasive within the enterprise and the 4Vs of data managed by modern business applications increase exponentially, organizations need faster and better visualizations to explore data at scale and discover game-changing insights.
Organizations are increasingly adopting modern technologies such as GPUs to interactively visualize billions of data elements in real-time and take faster business decisions.
By watching this webinar replay you'll learn:
- How you can augment your existing business applications and visualization capabilities with GPU-accelerated rendering of maps and accompanying dashboards for spatial awareness and location-based analytics
- How GPU’s massive parallelization minimizes the need for data preparation and sampling and delivers brute force capabilities to interactively visualize the fast-moving location and time-series data such as trading, traffic, social media, and vehicle telematics at scale and with speed.
ON DEMAND WEBINAR REGISTRATION
Presented By
Joe Eaton
Technical Lead for Accelerated Graph and Data Analytics, NVIDIA
Joe Eaton is the technical lead for Accelerated Graph and Data Analytics at NVIDIA. Previously, he was chief scientist at Object Reservoir, producing finite-element based 3phase reservoir simulations with automated adaptive meshing technology. He was also vice president of engineering at Algebraix Data, leading a development team to produce a high-performance SPARQL query engine. Joe joined NVIDIA in 2013 to work in the CUDA Libraries team on sparse linear algebra methods and especially the AmgX library of GPU-accelerated sparse iterative solvers.
Nohyun Myung
Principal Architect for Location-Based Analytics, Kinetica
He brings over 16 years of experience in the GIS and Location-Based Analytics industry, having worked work with some of the world’s largest organizations in their deployments of GIS solutions. Prior to Kinetica, Nohyun worked at Esri, the industry leader in GIS and mapping technology.
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