Highlights from Strata + Hadoop World in San Jose 2017

Watch highlights covering data science, data engineering, data-driven business, and more. From Strata + Hadoop World in San Jose 2017.

By Mac Slocum
March 15, 2017
Strata + Hadoop World San Jose Strata + Hadoop World San Jose (source: O'Reilly Conferences via Flickr)

Experts from across the data world came together in San Jose for Strata + Hadoop World. Below you’ll find links to highlights from the event.

The machine learning renaissance

Mike Olson says without big data and a platform to manage big data, machine learning and artificial intelligence just don’t work.

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Applying data and machine learning to scale education

Daphne Koller explains how Coursera is using large-scale data processing and machine learning in online education.

Turning the internet upside down: Driving big data right to the edge

Ted Dunning says the internet of things is turning the internet upside down, and the effects are causing all kinds of problems.

Launching Pokémon GO

Phil Keslin, CTO of Niantic, explains how the engineering team prepared for—and just barely survived—the experience of launching Pokémon GO.

Collaboration in AI benefits humanity

Jason Waxman says collaboration between industry, government, and academia is needed to deliver on the promise of AI.

Machines and the magic of fast learning

Eric Frenkiel looks at advanced tools and use cases that demonstrate the power of machine learning to bring about positive change.

Becoming smarter about credible news

Cloudera CEO Tom Riley and Thomson Reuters VP of R&D Khalid Al-Kofahi discuss big data’s role in chasing down leads, verifying sources, and determining what’s newsworthy.

Making good robots

Andra Keay outlines principles of good robot design and discusses the implications of implicit bias in our robots.

Big data, AI, the genome and everything

Vijay Narayanan explains how cloud, data, and artificial intelligence are accelerating the genomic revolution.

Ray: A distributed execution framework for emerging AI applications

Michael I. Jordan explores applications in artificial intelligence.

Driving enterprise open source adoption, from data lake to AI

Ron Bodkin explains how Teradata encourages open source adoption within enterprises.

Data in disasters: Saving lives and innovating in real time

Desi Matel-Anderson dives into the world of the Field Innovation Team, which uses data to save lives during disasters.

Machine learning is about your data and deployment, not just model development

Dinesh Nirmal discusses how your data can help you build the right cognitive systems to learn, reason, and engage with your customers.

Machine learning at Google

Rob Craft shares some of the ways machine learning is being used inside of Google.

Post topics: AI & ML, Data

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