Webinar on Cognitive Technologies with Tom Davenport and Julia Kirby

The webinar, “Cognitive Technologies: The Next Step Up for Data and Analytics,” is now available on-demand.

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Competing With Data & Analytics

How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
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So-called “smart” technologies are everywhere, and the level of intelligence in smart machines is increasing over time. Analytics technology is evolving toward cognitive systems, capable of making basic decisions and performing rudimentary and repetitive tasks in data management.

Our January 29th webinar offered context for understanding the bewildering array of cognitive technology offerings. And it helped viewers learn what technology capabilities will be available — and what tasks will still require human input.

Webinar presenters are: Thomas H. Davenport, President’s Distinguished Professor of Information Technology and Management at Babson College and a Fellow of the MIT Center for Digital Business, and Julia Kirby, a Boston-based editor and writer. Davenport and Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines (HarperBusiness, May 24, 2016). Michael Fitzgerald, a contributing editor at MIT Sloan Management Review, moderated the discussion.

Webinar contents:

  • What is meant by cognitive technology and artificial intelligence
  • What different types of cognitive tasks may be ripe for automation — and what tasks need the human touch
  • What kinds of business rules should be in place to make cognitive technology functional in the workplace
  • Why the Robot Revolution exists only in the movies

Watch the webinar and speaker Q&A in our video archive.

Read the Full Article

Topics

Competing With Data & Analytics

How does data inform business processes, offerings, and engagement with customers? This research looks at trends in the use of analytics, the evolution of analytics strategy, optimal team composition, and new opportunities for data-driven innovation.
See All Articles in This Section

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