Related
The Ultimate Data Set
Can Computers Make Us Better Thinkers?
Innovation Jul 6, 2015
Watson Is Just the Beginning
How machine learning will change education, product development, and decision-making.
At the Kellogg School’s first Computational Social Science Summit, David Ferrucci, the lead scientist behind IBM’s Watson computer, sat down with Kellogg School professor Brian Uzzi to discuss how machine learning and artificial intelligence will become central to the future of business.
In the first of these videos, Ferrucci gives an overview of the five ways machine learning will be transformative. In the following videos, he goes into detail on each point.
Add Insight
to your inbox.
to your inbox.
We’ll send you one email a week with content you actually want to read, curated by the Insight team.
Smarter Devices
Devices are getting smarter and smarter, from hearing aids that filter noise, to driverless cars that adapt to specific road conditions.
Decision Making
Machines help users improve decision making by reminding us what we know, pointing us to what we do not, and removing our blind spots.
Revolutionary Personalization
Netflix and Amazon are just the beginning of a world of specialized products and services.
Education
Smarter machines are freeing up students to collaborate, solve problems, design, and innovate.
Cultural Transformation
Human-machine partnerships are part of a greater cultural transformation.
Suggested For You
Most Popular
Here’s how to hone your emotional intelligence to benefit your team and your career.
Plus, ideas for designing spaces that encourage employees to team up in unique ways.
Here’s how managers can break the cycle of office conflict.
Kathleen Hagerty reflects back on her year as interim dean of the Kellogg School.
Most Popular Podcasts
Coworkers can make us crazy. Here’s how to handle tough situations.
Plus: Four questions to consider before becoming a social-impact entrepreneur.
Finding and nurturing high performers isn’t easy, but it pays off.
A Broadway songwriter and a marketing professor discuss the connection between our favorite tunes and how they make us feel.
More in Innovation
