For businesses trying to stay competitive, it’s not easy to learn from increasingly vast volumes of data, cope with the complexity of analysis, or keep up with siloed analytics solutions while on legacy infrastructure. By turning to GPU-accelerated analytics, machine learning, and ETL, companies can overcome slow queries and tedious data preparation process, dynamically correlate among data, and enjoy automatic feature engineering.
Join in to learn how GPU-accelerated deep learning data prep solution Datalogue can cut down 50 days of workflow to 5 days for better customer insights and greater data ROI; how GPU-native data processing solution FASTDATA.io can process a terabyte of data on a single GPU cloud in 35 seconds, instead of nine hours on Apache Spark; and how GPU-accelerated machine learning platform H2O.ai provides algorithms up to 30x faster than traditional algorithms, along with recipes for automatic feature engineering for faster and more scalable inferencing.
This session is sponsored by NVIDIA.
Jim McHugh is vice president and general manager at NVIDIA. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions that benefit from GPUs in the data center. With over 25 years of experience as a marketing and business executive with startup, mid-sized, and high-profile companies, Jim has a deep knowledge and understanding of business drivers, market/customer dynamics, technology-centered products, and accelerated solutions. Previously, Jim held leadership positions with Cisco Systems, Sun Microsystems, and Apple, among others.
SriSatish Ambati is the cofounder and CEO of H2O.ai, makers of H2O, the leading open source machine learning platform, and Driverless AI, which speeds up data science workflows by automating feature engineering, model tuning, ensembling, and model deployment. Sri is known for envisioning killer apps in fast-evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker on the big data, NoSQL and Java circuit, Sri leaves a trail @srisatish.
Tim Delisle is the cofounder and CEO of Datalogue, the AI-powered data infrastructure for the enterprise. Tim’s obsession with data stems from too many underslept and overcaffeinated nights working on data problems, inspiring him to cofound Datalogue. Tim holds a BS in cell biology and anatomy from McGill University, an MSc in computer and information science from Cornell Tech, and an MSc in applied information sciences from the Technion-Israel Institute of Technology.
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