The OmniSci Virtual Summit is a FREE event for data scientists, data analysts, and technology leaders to learn and share insights and best practices in accelerated analytics. Omnisci’s Virtual Summit will feature new demos, technical webinars, on-demand content and sessions released daily, and giveaways that will be sent to your doorstep.
Don’t miss out on this opportunity to hear from experts from NVIDIA, HP, Foxrane and other thought leaders from the data science, geospatial, public sector and telecommunications industries. Register today for you complimentary pass for this event focused on accelerated analytics including a
Data Science Workshop on October 14.
Data Science Workshop on October 14!
The Data Science Workshop is an event for data scientists and analysts to learn about OmniSci’s integrated data science foundation. Go from visual exploration to deep data science workflows, all at scale, with instantaneous results. Register through the OmniSci Virtual Summit to participate.
Senior Director Analytics and Automation
Account Manager DoD, NVIDIA
CEO & Co-Founder, OmniSci
Head of R&D, Foxrane
Dr. Stacy Woods
Geostatistician, Natural Resources Defense Council
Assistant Professor of Marketing, University of Michigan
BlueConduit, Chief Data Scientist
Director of AI and Data Science, HP
Technical Lead, OmniSci
VP Vertical Industry, OmniSci
Federal Sales Engineer, OmniSci
Software Developer, Quansight
Dr Mike Flaxman
Founder, Geodesign Technologies Inc
Operating and monitoring a modern telecommunications network, especially with the ongoing rollout of 5G, requires teams of Network Performance Management Engineers to find and pinpoint anomalies, trace the root causes, and make quick decisions with enormous collections of data. Fortunately, there are new technologies that can handle billions of rows of data with millisecond filtering and visualization times, that can make that massive telecom data an asset instead of a barrier. In this webinar, we’ll take a look at three common use cases facing telecom companies today: network performance management, optimizing 5G network signal propagation, and mobile data offloading. We’ll show how an analytics platform that is accelerated with GPUs can handle the outsized data volume, performance and geospatial features inherent to these use cases, and we’ll demo the solution on the OmniSci platform.