Successful businesses get value from AI by putting people at the center.

For all the remarkable things that machine learning and advanced analytics can do, there are scores of things that AI-enabled machines still can’t do — at least not reliably enough on their own in the real world of business. That doesn’t mean you can afford to wait to take advantage of AI. Rather, it means designing AI applications that leverage what people and machines each do best, and how they can most effectively work together.

In their new book, Working With AI: Real Stories of Human-Machine Collaboration, authors Thomas H. Davenport and Steven M. Miller draw on 29 detailed examples of jobs and work settings in which humans are already working day to day with AI-enabled systems and automation.

In this webinar, you will learn:

  • Why focusing on AI augmentation is the right strategy right now.
  • The aspects of work that AI can’t do (yet).
  • How people work day to day with smart machines.
  • What it takes to successfully engage the right people in the organization.


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Comment (1)
Kiran Palla
Greetings, I just watched the webinar recording for the session "How to Succeed With AI Augmentation". Thanks, Abbie, for hosting this wonderful session. Truly appreciate Tom and Steve for sharing their thoughts and insights. Tom’s walkthrough of 29 fully executed case studies brought tremendous relevance to the topic. Steve’s debrief about the differences between automation and augmentation is very helpful. Please convey my sincere appreciation to Tom and Steve.