November 8, 2019

162 words 1 min read

Collaboration in AI benefits humanity (sponsored by Intel)

Collaboration in AI benefits humanity (sponsored by Intel)

Artificial intelligence will accelerate both cancer research and the development of autonomous vehicles. Jason Waxman explains why the ultimate potential of AI will be realized through its societal benefits and positive impact on our world. Collaboration between industry, government, and academia are required to drive this societal innovation and deliver the scale and promise of AI to everyone.
Talk Title Collaboration in AI benefits humanity (sponsored by Intel)
Speakers Jason Waxman (Intel Corporation)
Conference Strata + Hadoop World
Conf Tag Big Data Expo
Location San Jose, California
Date March 14-16, 2017
URL Talk Page
Slides
Video Talk Video

Artificial intelligence will accelerate both cancer research and the development of autonomous vehicles. Jason Waxman explains why the ultimate potential of AI will be realized through its societal benefits and positive impact on our world. Collaboration between industry, government, and academia are required to drive this societal innovation and deliver the scale and promise of AI to everyone. This keynote is sponsored by Intel.

intelligence intel government ai autonomous vehicle artificial intelligence
comments powered by Disqus
Big data, AI, the genome, and everything (sponsored by Microsoft)

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

November 8, 2019

Vijay Narayanan takes you on an inspiring journey exploring how the cloud, data, and artificial intelligence are powering and accelerating the genomic revolutionsaving and changing lives in the process.
The machine-learning renaissance

The machine-learning renaissance

November 1, 2019

Data is powering a machine-learning renaissance. Understanding our data helps save lives, secure our personal and business information, and engage our customers with better relevance. However, as Mike Olson explains, without big data and a platform to manage big data, machine learning and artificial intelligence just dont work.
Using big data, the cloud, and AI to enable intelligence at scale (sponsored by Microsoft)

Using big data, the cloud, and AI to enable intelligence at scale (sponsored by Microsoft)

October 31, 2019

Wee Hyong Tok and Danielle Dean explain how the global, trusted, and hybrid Microsoft platform can enable you to do intelligence at scale, describing real-life applications where big data, the cloud, and AI are making a difference and how this is accelerating the digital transformation for these organizations at a lighting pace.
Big data opportunities in next-generation mobility

Big data opportunities in next-generation mobility

November 8, 2019

Evangelos Simoudis explores how data generated in and around increasingly autonomous vehicles and by on-demand mobility services will enable the development of new transportation experiences and solutions for a diverse set of industries and government types.
Debugging Apache Spark

Debugging Apache Spark

November 7, 2019

Much of Apache Sparks power comes from lazy evaluation along with intelligent pipelining, which can make debugging more challenging than on traditional distributed systems. Holden Karau and Joey Echeverria explore how to debug Apache Spark applications, the different options for logging in Sparks variety of supported languages, and some common errors and how to detect them.
Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata)

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

November 6, 2019

It is no surprise that reducing operational IT expenditures and increasing software capabilities is a top priority for large enterprises. Given its advantages, open source software has proliferated across the globe. Ron Bodkin explains how Teradata drives open source adoption inside enterprises using open source data management and AI techniques leveraged across the analytical ecosystem.