H2O.ai Blog
March 28th, 2018
Makers in Action: Community, Partners and Team Members at #GTC18
RSS
Share
Category: Events
By: H2O.ai
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
H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs
Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with
September 22, 2023 - by Genevieve Richards, Tarique Hussain and Shivam Bansal
Building a Fraud Detection Model with H2O AI Cloud
In a previous article[1], we discussed how machine learning could be harnessed to mitigate fraud.
July 28, 2023 - by Asghar Ghorbani
A Look at the UniformRobust Method for Histogram Type
Tree-based algorithms, especially Gradient Boosting Machines (GBM's), are one of the most popular algorithms used.
July 25, 2023 - by Hannah Tillman and Megan Kurka
H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models
In an era where Large Language Models (LLMs) are rapidly gaining traction for diverse applications,
July 19, 2023 - by Srinivas Neppalli, Abhay Singhal and Michal Malohlava
