Sep 23–26, 2019
Paco Nathan

Paco Nathan
Evil Mad Scientist, derwen.ai

Website | @pacoid

Paco Nathan is known as a “player/coach” with core expertise in data science, natural language processing, machine learning, and cloud computing. He has 35+ years of experience in the tech industry, at companies ranging from Bell Labs to early-stage startups. His recent roles include director of the Learning Group at O’Reilly and director of community evangelism at Databricks and Apache Spark. Paco is the cochair of Rev conference and an advisor for Amplify Partners, Deep Learning Analytics, Recognai, and Primer. He was named one of the "top 30 people in big data and analytics" in 2015 by Innovation Enterprise.

Sessions

2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Culture and Organization
Ann Spencer (Domino), Amy Heineike (Primer), Paco Nathan (derwen.ai), Chris Wiggins (NYT | Columbia)
If, as a data scientist, you've wondered why it takes so long to deploy your model into production or, as an engineer, thought data scientists have no idea what they want, you're not alone. Join a lively discussion with industry veterans Ann Spencer, Paco Nathan, Amy Heineike, and Chris Wiggins to find best practices or insights on increasing collaboration when developing and deploying models. Read more.
2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 10/11
Paco Nathan (derwen.ai)
Paco Nathan outlines the history and landscape for vendors, open source projects, and research efforts related to AutoML. Starting from the perspective of an AI expert practitioner who speaks business fluently, Paco unpacks the ground truth of AutoML—translating from the hype into business concerns and practices in a vendor-neutral way. Read more.
  • Cloudera
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  • Dataiku
  • Intel
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  • Microsoft Azure
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  • Impetus Technologies Inc.
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  • StreamSets
  • Striim
  • Syncsort
  • SK holdings C&C

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