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.
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.
Learn faster. Dig deeper. See farther.
- Watch “The machine learning renaissance.”
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.
- Watch “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.
- Watch “Becoming smarter about credible news.”
Making good robots
Andra Keay outlines principles of good robot design and discusses the implications of implicit bias in our robots.
- Watch “Making good 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.
- Watch “Machine learning at Google.”