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- H2O exhibited at booth #725 during NVIDIA's GTC18 conference, shortly after being named a leader by Gartner.
- BMW Group data scientist Arpit Mehta presented two GTC18 sessions on analyzing data flow inside an autonomous driving car and applying machine learning across the automotive industry.
- GTC18 partner MapD, a founding member of the GPU Open Analytics Initiative alongside H2O and NVIDIA, published a post describing how Volkswagen used H2O and MapD together to predict customer churn.
- H2O CTO Arno Candel hosted a Hands-on with Driverless AI workshop at GTC18, while Director of Research Jon McKinney presented on GPU-accelerated machine learning speed.
- H2O Security Scientist Ashrith Barthur presented Network Security with Machine Learning at GTC18 on March 28.
NVIDIA’s GPU Technology Conference (GTC) has been incredible! Folks from all over the world are exploring the latest breakthroughs in self-driving cars, smart cities, healthcare, high performance computing, virtual reality, and more, all propelled by the AI movement.
If you’re attending GTC and would like to see our solutions in action (recently named a leader by Gartner) or chat with one of the H2O.ai Makers, come visit us at booth #725.
We’re excited to be joined at #GTC18 by a number of community members, partners, and H2O.ai team members including:
Community
Venkatesh Ramanathan (Software Engineer, PayPal) and Ajay Gopal (Chief Data Scientist, Deserve) joined speakers from KickView and Memorial Sloan Kettering Cancer Center on the “Deep Learning Insitute Executive Workshop ” panel.
Arpit Mehta (Data Scientist, Product Owner: Big Data Architectures, BMW Group) presented “Now I C U: Analyzing Data Flow Inside an Autonomous Driving Car ” and “Beyond Autonomous Driving: Unleashing Value via Machine Learning Applications in Automotive Industry “.
Partners
Supermicro (Booth #111) – Supermicro provides customers around the world with application-optimized server, workstation, blade, storage and GPU systems. Stop by their booth for a demo of Driverless AI. Driverless AI speeds up data science workflows by automating feature engineering, model tuning, ensembling, and model deployment.
MapD (Booth #602) – MapD’s mission is to redefine the limits of scale and speed in big data analytics. Along with us, NVIDIA, and other innovative companies, they are also one of the founding GPU Open Analytics Initiative (GOAI) members. Enjoy a recent post (“How VW Predicts Churn with GPU-Accelerated Machine Learning and Visual Analytics”) by Wamsi Viswanath (Data Scientist, MapD) in which he shares how H2O was used in concert with MapD.
Dell EMC (Booth #815) – Dell EMC enables digital transformation with trusted solutions for the modern data center.
Team Members
- Wednesday, March 28th, 9am – Ashrith Barthur (Security Scientist) presented “Network Security with Machine Learning ”.
- Thursday, March 29th, 11am, Room 211A – Jon McKinney (Director of Research) will be presenting “World’s Fastest Machine Learning With GPUs” .
- Thursday, March 29th, 4pm, LL21C – Arno Candel (CTO) will host the “Hands-on with Driverless AI” workshop.
Enjoy GTC!
Rosalie
Director of Community