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PROFILE
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Tom Davenport - Speaker Profile
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, co-founder of the International Institute for Analytics, fellow of the MIT Initiative for the Digital Economy, and a senior advisor to Deloitte Analytics.
One of HBR’s most frequently published authors, Davenport 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 HBR 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. Davenport’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. 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.
HBR editors highlighted Davenport’s 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.” Davenport 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 50 business school professors by Fortune magazine. He has written or edited 20 books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other prestigious publications.
Davenport earned his doctorate 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, Davenport 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 HBR 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. Davenport’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. 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.
HBR editors highlighted Davenport’s 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.” Davenport 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 50 business school professors by Fortune magazine. He has written or edited 20 books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other prestigious publications.
Davenport earned his doctorate 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.
Tom Davenport - Speaking Topics
Designing the Post-COVID Workplace
Longtime Harvard, MIT, and Babson professor Tom Davenport – one of the world’s foremost authorities on analytics, big data and AI strategies that drive competitive advantage – has been an objective advocate for virtual offices since the 1990s when he wrote “Two Cheers for the Virtual Office.” COVID presents a once-in-a-lifetime (we hope) opportunity to redesign work to improve employee satisfaction, productivity, and the environment all at once. In this presentation, he outlines what today’s workers want from their work environments, the various factors that constrain work design, and the importance of segmentation and choice as design elements. He also reveals the outcomes of multiple experiments and data analyses that have been performed by leading firms’ HR analytics groups, and other research that could further guide post-COVID arrangements. “Employers today need workforce policies that are guided by data and enlightened experimentation,” says Davenport, “not opinion and tradition.”
Making Smarter Data-Driven Decisions
According to Tom Davenport – distinguished professor of IT management at Babson College and co-founder of the International Institute for Analytics – the COVID-19 pandemic taught us that America’s data management system is lagging behind those of other countries. Here, he examines how decisions made during the pandemic became more important and more challenging, and that without a cohesive framework, the fractured, sometimes “alternative,” data often led to worse decisions than those made with no data at all. Bad sources and models resulted in cherry-picked facts, emotional decision making and cognitive biases. Now, with systematic methods for identifying these faulty impulses, Davenport teaches organizations how to avoid similar perils by course-correcting away from biased data to find reliable solutions. In this presentation, he discusses the role of statistics and heuristics and how much of our decision making should be offloaded to machines.
The AI-Fueled Organization
Tom Davenport revolutionized the world of analytics with his 2007 book Competing on Analytics. Now he’s describing companies that take the same aggressive approach to artificial intelligence. In this presentation, he discusses the attributes of AI-fueled companies, and details the leadership, strategy, and cultural traits that make companies highly successful with AI. From Kroger in Cincinnati to Ping An in China, he illustrates how AI-driven organizations will power the future of business.
The Future of Work is Now: AI, Skills, and Job Redesign
For years, experts have predicted AI will fundamentally change the future of work. But Tom Davenport – distinguished professor of IT management at Babson College and visiting professor at Oxford’s business school – reveals that many workers are already close colleagues with AI systems in achieving their daily work objectives. Drawing on more than 30 cases of work alongside smart machines, he will describe many examples of AI-assisted work, discuss what makes it successful, and detail how companies can redesign work and increase skills. As Davenport has predicted since his 2016 book “Only Humans Need Apply,” augmentation of human work is both far more likely to succeed and offers far more value than replacement of humans through automation.
Competing on the Three A’s: Getting Up to Speed with Analytics, Automation, and AI
Companies around the world have spent trillions of dollars on talent, software and devices to advance their analytics and AI capabilities, yet a substantial number still lack strong data-driven insights. In this talk, Tom Davenport – distinguished professor of IT management at Babson College and cofounder of the International Institute for Analytics – outlines the issues impeding analytics and AI adoption and cultural change. With statistics showing that only a small percentage of analytics and AI models ever reach production deployment, Davenport teaches leaders how to use data to reach more customers, optimize supply chains, improve HR, build enterprise-level intelligence and significantly exceed business goals by structuring analytics and AI to achieve greater ROI.
Longtime Harvard, MIT, and Babson professor Tom Davenport – one of the world’s foremost authorities on analytics, big data and AI strategies that drive competitive advantage – has been an objective advocate for virtual offices since the 1990s when he wrote “Two Cheers for the Virtual Office.” COVID presents a once-in-a-lifetime (we hope) opportunity to redesign work to improve employee satisfaction, productivity, and the environment all at once. In this presentation, he outlines what today’s workers want from their work environments, the various factors that constrain work design, and the importance of segmentation and choice as design elements. He also reveals the outcomes of multiple experiments and data analyses that have been performed by leading firms’ HR analytics groups, and other research that could further guide post-COVID arrangements. “Employers today need workforce policies that are guided by data and enlightened experimentation,” says Davenport, “not opinion and tradition.”
Making Smarter Data-Driven Decisions
According to Tom Davenport – distinguished professor of IT management at Babson College and co-founder of the International Institute for Analytics – the COVID-19 pandemic taught us that America’s data management system is lagging behind those of other countries. Here, he examines how decisions made during the pandemic became more important and more challenging, and that without a cohesive framework, the fractured, sometimes “alternative,” data often led to worse decisions than those made with no data at all. Bad sources and models resulted in cherry-picked facts, emotional decision making and cognitive biases. Now, with systematic methods for identifying these faulty impulses, Davenport teaches organizations how to avoid similar perils by course-correcting away from biased data to find reliable solutions. In this presentation, he discusses the role of statistics and heuristics and how much of our decision making should be offloaded to machines.
The AI-Fueled Organization
Tom Davenport revolutionized the world of analytics with his 2007 book Competing on Analytics. Now he’s describing companies that take the same aggressive approach to artificial intelligence. In this presentation, he discusses the attributes of AI-fueled companies, and details the leadership, strategy, and cultural traits that make companies highly successful with AI. From Kroger in Cincinnati to Ping An in China, he illustrates how AI-driven organizations will power the future of business.
The Future of Work is Now: AI, Skills, and Job Redesign
For years, experts have predicted AI will fundamentally change the future of work. But Tom Davenport – distinguished professor of IT management at Babson College and visiting professor at Oxford’s business school – reveals that many workers are already close colleagues with AI systems in achieving their daily work objectives. Drawing on more than 30 cases of work alongside smart machines, he will describe many examples of AI-assisted work, discuss what makes it successful, and detail how companies can redesign work and increase skills. As Davenport has predicted since his 2016 book “Only Humans Need Apply,” augmentation of human work is both far more likely to succeed and offers far more value than replacement of humans through automation.
Competing on the Three A’s: Getting Up to Speed with Analytics, Automation, and AI
Companies around the world have spent trillions of dollars on talent, software and devices to advance their analytics and AI capabilities, yet a substantial number still lack strong data-driven insights. In this talk, Tom Davenport – distinguished professor of IT management at Babson College and cofounder of the International Institute for Analytics – outlines the issues impeding analytics and AI adoption and cultural change. With statistics showing that only a small percentage of analytics and AI models ever reach production deployment, Davenport teaches leaders how to use data to reach more customers, optimize supply chains, improve HR, build enterprise-level intelligence and significantly exceed business goals by structuring analytics and AI to achieve greater ROI.
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