4:33

Merging Human and Machine Learning for Everyday Solutions - Li Fan (Pinterest)

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9:57

To a Hammer, Everything is a Nail - Tobias Ternstrom (Sponsored by Microsoft)

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3:22

Privacy in the Age of Machine Learning - Ben Lorica (O'Reilly Media)

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2:35

Crisis Text Line Data Usage and Insights - Nancy Lublin & Bob Filbin (Crisis Text Line)

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5:34

Building the Foundation of a Latency-free Life - Nikita Shamgunov (Sponsored by MemSQL)

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3:57

Defining Responsible Data Practices: A Community-Driven Approach - Natalie Evans Harris (BrightHive)

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5:07

Operationalizing Machine Learning - Dinesh Normal (Sponsored by IBM)

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3:13

Data Science in the Cloud - Alex Smola (Amazon)

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4:33

Differentiating via Data Science - Eric Colson (Stitch Fix)

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3:50

Lessons in Google Search Data - Seth Stephens-Davidowitz (NY Times)

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2:48

When Machine Learning Makes Mistakes - Janelle Shane (aiweirdness.com)

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3:23

Inclusivity for the Greater Good - Ajey Gore (GO-JEK)

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5:21

What Separates the Clouds? - William Vambenepe (Sponsored by Google Cloud)

O'Reilly

9:38

The Case for a Deliberate Data Strategy in Today’s Attention-deficit Economy - Anoop Dawar

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10:20

Serverless models are the cloud's best value with William Vambenepe (Google Cloud)

O'Reilly

8:15

Incremental scale in the cloud with Tobias Ternstrom (Microsoft)

O'Reilly

8:56

Building data fabrics to stretch across AI and machine learning with Jack Norris (MapR)

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7:47

Data scientists are the engineers for digital transformation with Ian Swanson (DataScience.com)

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6:37

Latency-free queries for interactive response times with Eric Hanson (MemSQL)

O'Reilly

11:01

Fluid machine learning that is always on and always learning with Dinesh Nirmal (IBM)

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4:38

Automating decisions with Data in the Cloud - Amr Awadallah (Cloudera)

O'Reilly

30:33

What is the relationship between social influence and the NBA? - Noah Gift (UC Davis)

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