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AI for HR, HR for AI
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The human resources function has a dual role to play in organizations regarding artificial intelligence (AI). As in other business functions, there is an opportunity to use AI to improve the efficiency and effectiveness of the HR function. In addition, upon HR will fall the primary responsibility for understanding how the workforce needs to change to work alongside intelligent machines, and how to retrain and reskill workers to fit in AI-enabled jobs. Tom Davenport will discuss both roles.

 Export to Your Calendar 11/26/2019
When: Tuesday, November 26, 2019
8:00 am
Where: Map this event »
Electronic Arts
207 Redwood Shores Parkway
Redwood City, California  94065
United States
Contact: Kati Adams
831-247-2358


Online registration is available until: 11/25/2019
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CSHRP Executive Forum
November 26, 2019
Location: Electronic Arts
8:30 am – 12:00 noon
8:00 am Continental Breakfast
8:30 am Session Begins
11:30 am Networking Lunch



AI for HR, HR for AI
Thomas H. Davenport



The human resources function has a dual role to play in organizations regarding artificial intelligence (AI). As in other business functions, there is an opportunity to use AI to improve the efficiency and effectiveness of the HR function. Such applications as machine learning for attrition analysis and candidate performance prediction, and natural language processing for intelligent agents and chatbots, are increasingly being adopted by forward-looking HR groups. 

In addition, upon HR will fall the primary responsibility for understanding how the workforce needs to change to work alongside intelligent machines, and how to retrain and reskill workers to fit in AI-enabled jobs. HR may also be called upon to help define the organization’s overall strategy for dealing with the impacts of AI on jobs. The time to begin preparing for these changes is now.

In this presentation and discussion, Tom Davenport will discuss both relationships between AI and HR, and how leading organizations are developing competitive advantage using these technologies. 


About the Presenter
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin.

One of HBR’s most frequently published authors, Tom has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name. Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence. Tom’s book, co-authored with Julia Kirby, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines offers tangible tools for individuals who need to work with cognitive technologies and in his latest book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, he provides a guide to using artificial technologies in business. You can read a review of The AI Advantage on MIT Press.

Harvard Business Review editors highlighted his latest ideas in the 10 Must Reads 2017: The Definitive Management Ideas of the Year and again in the 2019 issue. One of his articles is also in the new 10 Must Reads on AI, Analytics, and the New Machine Age. Tom was also named one of ten “Top Voices” by LinkedIn–in 2016 for Education, and in 2018 for Technology. He has also been named one of the top three business/technology analysts in the world, one of the 100 most influential people in the IT industry, and one of the world’s top fifty business school professors by Fortune magazine.