Archive for October, 2016

Notes from World of Watson 2016

Posted by:

IBM’s World of Watson served up an impressive smorgasbord this year: topnotch speakers, thought provoking research, roving robots, and Olli, a self-driving bus/tour guide. For those of us who have tracked cognitive computing since its beginning, the most impressive part of the conference was its size: 17,000 people trekking among multiple venues, hundreds of exhibitors. It’s apparent that AI and cognitive computing and IoT are all converging, and that it’s difficult to tease them apart.

Aside from the mandatory linguistic aspects ...

Continue Reading →
0

Takeaways: O’Reilly AI Part 3

Posted by:

Among the featured speakers at the O’Reilly AI Conference were Lili Cheng of Microsoft Research, and Oren Etzioni, director of the Allen Institute for Artificial Intelligence. Their views offer contrasting perspectives: AI product design and development lessons from Microsoft and some hard data about expectations for market development from the AI think tank.

Lili Cheng, Microsoft Research. Microsoft’s bot, Xaoice, now with 40 million users, was rolled out first in China, and then Japan. Like Amazon’s Echo, it has a suite ...

Continue Reading →
0

Takeaways: O’Reilly AI Part 2

Posted by:

Among the speakers at the O’Reilly AI Conference were the eponymous conference producer and long-time tech industry guru Tim O’Reilly, and Genevieve Bell, representing Intel, one of the premium sponsors of the event. This is what I thought were the primary messages they delivered.

Tim O’Reilly, O’Reilly Media. Tim was upbeat about AI and its potential to “change the game” of business. He cited complex problems that will always arise when we change the nature of the relationship between people and ...

Continue Reading →
0

Takeaways: O’Reilly AI

Posted by:

The first O’Reilly AI Conference served up an AI smorgasbord of ideas at the end of September in New York. We continue to struggle with the resurgence of use of the term “AI” throughout the mainstream press. As we have pointed out, simplistic definitions are erecting big hurdles to useful understanding of the field. Artificial intelligence is a large umbrella term that includes: machine learning of all types, digital assistants, conversational systems, Internet of Things, image and speech recognition, emotion ...

Continue Reading →
0