OmniSci Introduces Converge, the Inaugural User Conference on GPU-accelerated Analytics and Data Science, October 21-23, 2019
Event for Big Data Analysts, Geospatial Analysts and Data Scientists will put Attendees at the Forefront of the GPU-acceleration Revolution
Apr 25, 2019, 11:00 ET
SAN FRANCISCO, April 25, 2019 /PRNewswire/ -- OmniSci, the pioneer in GPU-accelerated analytics, today announced the debut of Converge, its first-ever user conference, scheduled for October 21-23, 2019 at the Computer History Museum in Mountain View, California. Converge will give big data analysts, geospatial analysts, and data scientists the chance to hear and learn from experts and thought leaders as they explore the latest innovations in the fast-growing field of GPU-accelerated analytics and data science.
Converge will include three keynote sessions, more than 30 in-depth breakout sessions, a vendor expo, two celebrations and over 12 hours of networking time. Keynote speakers include OmniSci co-founder and CEO Todd Mostak along with:
"Adoption of general-purpose GPUs and GPU-accelerated platforms has taken an incredible leap forward in recent years within the world of data science and big data analytics. This computing revolution is transforming the way organizations interact with and extract value from their data," stated Mostak. "The pace of change is so rapid that practitioners need forums with pragmatic content and ideas. Our vision is to deliver this experience at Converge."
NVIDIA is an initial founding sponsor of Converge 2019. To learn more about conference sponsorship opportunities, email sponsors@omnisci-events.com. To learn more about Converge and to register visit https://converge.omnisci.com
About OmniSci
OmniSci (formerly MapD) is the pioneer in GPU-accelerated analytics. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallel computing power of GPUs, the platform is available in the cloud (OmniSci Cloud and leading public cloud providers) and on-premise (OmniSci Core and Enterprise Edition). OmniSci originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). OmniSci is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about OmniSci at www.omnisci.com.
MEDIA CONTACT:
Rachel Wille
SSPR
507/403-9347
rwille@sspr.com
SOURCE OmniSci
