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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

GPU-accelerated analytics and machine learning ecosystems (Inception Showcase sponsored by NVIDIA)

Alen Capalik (, Jim McHugh (NVIDIA), SriSatish Ambati (, Tim Delisle (Datalogue)
4:35pm–5:15pm Wednesday, 09/12/2018

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 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 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.

Photo of Alen Capalik

Alen Capalik

Alen Capalik is the founder and CEO of, producer of Plasma Engine, the first GPU-native software to fully leverage NVIDIA GPUs and Apache Arrow for real-time processing of infinite data in motion. As the chief architect of a cybersecurity software company, Alen was constantly hindered by CPU-bound data processing Java software like Spark and Hadoop. After exiting cybersecurity, he started experimenting with processing streaming data through GPUs instead of CPUs and saw amazing potential to process data much faster and more efficiently, which inspired him to found
Photo of Jim McHugh

Jim McHugh


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.

Photo of SriSatish Ambati

SriSatish Ambati

SriSatish Ambati is the cofounder and CEO of, 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.

Photo of Tim Delisle

Tim Delisle


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.