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Wednesday, November 11 • 9:00am - 10:00am
Panel - Culture of Data Driven Decision Making - Operationalizing Insights

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avatar for SriSatish Ambati

SriSatish Ambati

CEO and co-founder, H2O.ai
Sri is co-founder and ceo of H2O (@h2oai), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the... Read More →

avatar for Arno Candel

Arno Candel

Chief Architect, H2O.ai
Arno is the Chief Architect of H2O, a distributed and scalable open-source machine learning platform. He is also the main author of H2O’s Deep Learning. Before joining H2O, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC... Read More →
avatar for Cliff Click

Cliff Click

CTO and co-founder, H2O.ai
Cliff Click is the CTO and Co-Founder of H2O, makers of H2O, the opensource math and machine learning engine for Big Data. Cliff wrote his first compiler when he was 15 (Pascal to TRS Z-80!), although Cliff’s most famous compiler is the HotSpot Server Compiler (the Sea of Nodes IR). Cliff helped Azul Systems build an 864 core pure-Java mainframe that keeps GC pauses on 500Gb heaps to under 10ms, and worked on all aspects of that... Read More →

Abhay Dabholkar

Principal - Big Data Software Engineer, AT&T
Working in IT industry since 1991 in different roles including Lead Big Data Engineer, Solution Architect, Software Engineer, Application Performance Specialist, Web Security Architect and Ethical Hacker | Passionate about large distributed system, search & realtime analytics. Successfully developed, implemented, deployed & managed predictive Machine Learning algorithms using Hadoop, H2O & R. I have spent number of years... Read More →
avatar for Mark Landry

Mark Landry

Competition Data Scientist & Product Manager, H2O.ai
Mark Landry is a competition data scientist and product manager at H2O. He enjoys testing ideas in Kaggle competitions, where he is ranked in the top 100 in the world (top 0.03%) and well-trained in getting quick solutions to iterate over. Most at home in SQL, he found H2O through hacking in R. Interests are multi-model architectures and helping the world make fewer models that perform worse than the mean.
avatar for Erin LeDell

Erin LeDell

Data Scientist & Hacker, H2O.ai
Erin is a Statistician and Machine Learning Scientist at H2O.ai. She is the main author of H2O Ensemble. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc.Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on... Read More →
avatar for Martin McEnroe

Martin McEnroe

Big Data Visualization Evangelist, AT&T
I've always wanted to know everything about everything. I've designed CMOS, I know how adders work, I know BIOS code, timing diagrams, start-up testing, disk head physics, software design, caching, visual basic, that's just PCs. I have picked apart so many things. But LinkedIn, I love. I love understanding what they are doing, the algorithms behind the matches, the maps, the recommendations. I love the sociological aspect of how we interact... Read More →
avatar for Xavier Quintuna

Xavier Quintuna

Xavier Quintuna is the principal Big Data architect for Orange Silicon Valley, a subsidiary of the global telecom provider Orange. He has developed Big Data solutions for Call Detail Records, Quality of Service, CDNs, Marketing and Fraud across Orange business groups. He began working with Hadoop in 2008 to explore how it could be used to better support the telecom industry.

Wednesday November 11, 2015 9:00am - 10:00am
Erdos Stage