Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Intelligent applications are everywhere.

Matt McIlwain (Madrona Venture Group), Carlos Guestrin (Apple | The University of Washington)
1:45pm–2:25pm Tuesday, September 19, 2017
Implementing AI
Location: Franciscan AB Level: Intermediate
Secondary topics:  Data and training, Visualization and Interfaces
Average rating: ***..
(3.75, 4 ratings)

Prerequisite Knowledge

  • A basic understanding of data science

What you'll learn

  • Learn how to practically apply machine learning and deep learning models to create innovative business applications


Matt McIlwain interviews Carlos Guestrin. Drawing on his experience as an AI pioneer and the founder of Turi, an early leader in helping any team of data scientists and programmers apply data and machine learning to build intelligent applications (recently acquired by Apple), Carlos discusses the intelligent applications powered by data and data science that are being built and deployed at a rapid pace, including on smartphones and edge devices, and shares consumer, commercial, and embedded examples.

Topics include:

  • An overview of intelligent applications
  • How the consumer experience on smartphones will change when smartphones begin leveraging machine learning
  • The implications and actual use cases of deep learning at the edge
  • Turning different types of datasets into data that is prepared, labeled, and usable for successfully training your models
  • Currently available datasets to help improve customer experiences
Photo of Matt McIlwain

Matt McIlwain

Madrona Venture Group

Matt McIlwain is a managing director at Madrona Venture Group and one of the top VCs in the world when it comes to investing in AI and ML. A longtime venture capitalist focusing on software-driven companies, Matt is currently investing in companies in the cloud, machine learning, and intelligent apps spaces. He serves on the boards of a number of Madrona companies, including 2nd Watch, Apptio, Booster, ExtraHop, Igneous Systems,, Qumulo, Smartsheet, and Skytap. Matt is also on the boards of the Fred Hutchinson Cancer Research Center and Washington Policy Center. Previously, Matt served on the boards of Isilon Systems (acquired by EMC), Turi (acquired by Apple), Farecast (acquired by Microsoft), World Wide Packets (acquired by Ciena), PayScale (acquired by Warburg Pincus), iConclude (acquired by Opsware), Performant (acquired by Mercury Interactive), and Tier3 (acquired by CenturyLink Savvis). He is a graduate of Dartmouth College and holds an MBA from Harvard Business School and a master’s degree in public policy from Harvard’s Kennedy School of Government.

Photo of Carlos Guestrin

Carlos Guestrin

Apple | The University of Washington

Carlos Guestrin is the director of machine learning at Apple and the Amazon Professor of Machine Learning in Computer Science and Engineering at the University of Washington. Carlos joined Apple through its acquisition of Turi (formerly Dato and GraphLab), a machine learning company of which he was the cofounder and CEO. Previously, he was the Finmeccanica Associate Professor at Carnegie Mellon University and senior researcher at the Intel Research Lab in Berkeley. A world-recognized leader in the field of machine learning, Carlos was named one of the 2008 brilliant 10 by Popular Science. His work has been recognized by over a dozen best-paper awards at top conferences and journals. He is the recipient of the Alfred P. Sloan Fellowship, IBM Faculty Fellowship, IJCAI Computers and Thought Award for his contributions to artificial intelligence, and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA. Carlos holds a PhD and master’s degree from Stanford University and a degree in mechatronics engineering from the University of Sao Paulo, Brazil.

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09/19/2017 8:15am PDT

Can we get Prof Guestrin’s slides? Those slides were very insightful. Thank you