Webinar banner
NVIDIA Quadro Powered Data Science Workstations and OmniSci – Powering the Transition to AI and Big Data Analytics
AI and big data analytics are changing the way enterprises and institutions are making decisions and delivering products and services worldwide. Data scientists (and others) need sophisticated hardware, development, and software platforms to separate actionable intelligence, patterns and trends from daily data tsunamis.

It is imperative to separate the digital wheat from the chaff, and new Quadro RTX GPUs with Tensor Cores, mixed precision compute, and unprecedented GPU memory capacity provide the hardware foundation to meet today’s AI and analytics challenges. Turnkey solutions like the NVIDIA-Powered Data Science Workstation provide data scientists and others with the productivity enhancing tools they need. OmniSci’s GPU accelerated analytics platform overcomes the scalability and performance limitations of legacy analytics tools faced with the scale, velocity and location attributes of today’s big data analytics.

By attending this webinar, you'll learn:

- Why Quadro RTX is the most powerful GPU-based AI and big data analytics hardware accelerator available today.
- How NVIDIA-Powered Data Science Workstations provide a comprehensive and fully supported turnkey development solution for data science and analytics professionals.
- How OmniSci’s industry leading GPU accelerated analytics platform enables unprecedented big data analytics solutions from development to deployment.

ALL LIVE WEBINAR ATTENDEES WILL BE ENTERED INTO A DRAWING FOR A CHANCE TO WIN AN NVIDIA QUADRO RTX 4000!

Oct 24, 2019 10:00 AM in Pacific Time (US and Canada)

Webinar logo
* Required information
Loading

Speakers

Carl Flygare
Quadro Product Marketing Manager @PNY
With nearly 15 years at PNY, Carl is deeply aware of how NVIDIA Quadro products, their underlying transformational technologies, and unrivaled software ecosystem can catalyze innovation and enhance productivity and operational efficiency by addressing increasingly complex visualization, HPC, AI/DL/ML, and analytics challenges.
Jay Chen
Sr. Technology Manager, Channel Customers @PNY
With a computer science background, Jay is thoroughly versed in AI and big data analytics, has practical experience with Quadro RTX in AI and analytics development environments, and keeps up with the rapidly advancing product and solutions landscape for AI/DL/ML.
Randy Zwitch
Senior Director of Developer Relations @OmniSci
Randy Zwitch is the Senior Director of Developer Relations at OmniSci, enabling customers and community users alike to utilize OmniSci to its fullest potential. With broad industry experience in Energy, Digital Analytics, Banking, Telecommunications and Media, Randy brings a wealth of knowledge across verticals as well as an in-depth knowledge of open-source tools for analytics.