3:37

The machine-learning renaissance Mike Olson (Cloudera)

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3:23

Applying data and machine learning to scale education Daphne Koller (Calico Labs | Coursera)

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3:51

Launching Pokémon GO Phil Keslin (Niantic, Inc.), Beau Cronin (Embedding.js)

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5:40

Machines and the magic of fast learning (sponsored by MemSQL) Eric Frenkiel (MemSQL)

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6:49

Collaboration in AI benefits humanity (sponsored by Intel) Jason Waxman (Intel Corporation)

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9:02

Turning the internet upside down: Driving big data right to the edge Ted Dunning (MapR Technologies)

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3:35

Becoming smarter about credible news Tom Reilly (Cloudera), Khalid Al-Kofahi (Thomson Reuters)

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2:56

Making good robots Andra Keay (Silicon Valley Robotics)

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14:20

Big data, AI, the genome, and everything (sponsored by Microsoft) Vijay Narayanan (Microsoft)

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3:13

Ray: A Distributed Execution Framework for Emerging AI Applications Michael Jordan (UC Berkeley)

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6:11

Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata) Ron Bodkin

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2:39

Data in disasters: Saving lives and innovating in real time Desiree Matel-Anderson

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6:13

Machine learning is about your data and deployment Dinesh Normal Sponsored by IBM)

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7:24

Machine learning at Google (sponsored by Google) Rob Craft (Google)

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13:02

Unpacking MapR Edge with Jack Norris (MapR)

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10:56

Deep learning helping to solve cancer with Jason Waxman (Intel)

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8:31

Data science is no longer a back office function with William Merchan (Data Science)

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9:23

How to be fast and have a good memory with Machine Learning and Eric Frenkiel (MemSQL)

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8:25

Launching Teradata IntelliCloud with Brian Wood (Teradata)

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12:56

What's the difference between BI and machine learning with Rob Craft (Google)

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13:26

Operationalizing machine learning for the enterprise with Dinesh Nirmal (IBM)

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14:01

The Servicification of the Economy with Robert Cohen (Economic Strategy Institute)

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