Faculty Profiles

781-239-5250

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 at the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte Analytics. He teaches analytics/big data in executive programs at Babson, Harvard Business School and School of Public Health, and MIT Sloan School.

Davenport pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article and 2007 book. His most recent book is The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. He wrote or edited nineteen other books and over 200 articles for Harvard Business Review, Sloan Management Review, The Financial Times, and many other publications. He is a regular contributor to the Wall Street Journal and Forbes. He has been named one of the top 25 consultants by Consulting News, one of the 100 most influential people in the IT industry by Ziff-Davis, and one of the world's top fifty business school professors by Fortune magazine.

Ph D, Harvard University
MA, Harvard University
BA, Trinity University

2023 — Academic Data Leaders, CDO Magazine
2023 — Best Business and Management Scientists, Research.com
2023 — Four most anticipated books of 2023, Inc. Magazine
2021 — Lifetime Achievement in Scholarship Award, Babson College
2018 — Article in 2019 "Must Reads" book from Harvard Business Review, Harvard Business Publishing
2018 — Top Tech Voice on LinkedIn for 2018, LinkedIn
2017 — Top Ten Big Data, Data Science Influencers on LinkedIn, KD Nuggets
2016 — #1 Voice for 2016 in Education, LinkedIn
2016 — Babson Faculty Scholarship Award, Babson College
2016 — Ten "Must Reads" for 2017, Harvard Business Review
2015 — "Highly Commended Award", Emerald Literati Network
2013 — Top 50 business school professors in the world, Poets & Quants/Fortune magazine
2007 — Named one of the 100 most influential people in the information technology industry , editors of several Ziff-Davis publications
2005 — Named one of top 3 “business/technology analysts” in the world, Optimize magazine
2004 — Best paper awards for Business Process Management Journal and Journal of Enterprise Information Management,
2004 — Named one of the top 25 consultants in the world , Consulting magazine
2001 — Attention Economy named one of 30 best business books of the year,
2001 — Invited to attend Fortune Magazine’s “Brainstorm 2001: The Smartest People We Know” conference in Aspen,
2001 — Named one of 25 “E-Business Gurus”, Darwin magazine
2000 — Named one of 10 “Masters of the New Economy", CIO magazine
1996 — Board of Judges, McKinsey Prize (best article), Harvard Business Review
1995 — Invited to give “State of the Art” video presentation for Australian Association for Computing Machinery,
1995 — Judge, Arthur D. Little Process Management Award,
1994 — Judge, CIO 100 (best 100 firms in IT management),
1993 — Commencement address, Boston University M.S. in Management Information Systems
1993 — Ernst & Young’s first “Value Creation Award” , Ernst & Young
1993 — Process Innovation voted one of 10 best business books of 1993, Library Journal
1992 — “Outstanding Harvard Dissertations” , Harvard
1990 — Richard Beckhard Award , Sloan Management Review
1980 — Post-Doctoral Fellowship, National Institute of Mental Health
1980 — Post-Doctoral Fellowship,, National Institute of Mental Health
1976 — Graduate Fellowship, National Science Foundation
1976 — Phi Beta Kappa, Blue Key, Trinity University

Degree Courses 2023
- OIM 7545 ARTIFICIAL INTELLIGENCE FOR BUSINESS
- OIM 3580 ARTIFICIAL INTELLIGENCE IN BUSINESS

Journal Articles

Redman, T., Davenport, T.H. (2023). The Rise of Connector Roles in Data Science. MIT Sloan Management Review. link
Davenport, T.H., Moyano, J.P., Schmedders, K., Schulte, S. (2023). Use GenAI to Uncover New Insights Into Your Competitors. Harvard Business Review (Digital Edition). link
Davenport, T.H., Bean, R. (2023). AI Ethics at Unilever: From Policy to Process. MIT Sloan Management Review. link
Hollweg, M., Davenport, T.H., Snyder, K. (2023). How AI Fits Into Lean Six Sigma. Harvard Business Review (Digital Edition). link
Barkin, I., Davenport, T.H. (2023). Harnessing Grassroots Automation. MIT Sloan Management Review. link
Reinkemeyer, L., Davenport, T.H. (2023). Transform Operations with Process Mining. Harvard Business Review (Digital Edition). link
Kshetri, N., Dwivedi, Y., Davenport, T.H., Panteli, N. (2023). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management. Elsevier.
Davenport, T.H., Barkin, I., Tomak, K. (2023). We're All Programmers Now. Harvard Business Review (Print Edition). Harvard Business Review Publishing. link
Davenport, T.H., Bean, R. (2023). Generative AI at Mastercard: Governance Takes Center Stage. MIT Sloan Management Review. link
Kumar, A., Davenport, T.H. (2023). How to Make Generative AI Greener. Harvard Business Review (Digital Edition). link
Davenport, T.H., Alavi, M. (2023). How to Train Generative AI Using Your Company's Data. Harvard Business Review (Digital Edition). link
Davenport, T.H., Bean, R. (2023). The Impact of Generative AI on Hollywood and Entertainment. MIT Sloan Management Review. link
Davenport, T.H., Hoerl, R., Redman, T., Kuonen, D. (2023). Your Data Strategy Needs to Include Everyone. Harvard Business Review (Digital Edition). link
Davenport, T.H. (2023). Hyper-Personalization for Customer Engagement with Artificial Intelligencee. Management and Business Review. link
Davenport, T.H., Bean, R. (2023). How Northwestern Mutual Embraces AI. MIT Sloan Management Review. link
Davenport, T.H., Hollweg, M., Jeavons, D. (2023). How AI Is Helping Companies Redesign Processes. Harvard Business Review (Digital Edition). link
Davenport, T.H., Wang, R., Tiwari, P. (in press). 8 Strategies for Chief Data Officers to Create and Demonstrate Value. Harvard Business Review (Digital Edition). link
Davenport, T.H., Mittal, N. (2023). Stop Tinkering with AI. Harvard Business Review (Print Edition). Harvard Business School Publishing. link
Davenport, T.H., Bean, R. (2023). Action and Inaction on Data, Analytics, and AI. MIT Sloan Management Review. link
Davenport, T.H., Redman, T. (2022). How AI Is Improving Data Management. MIT Sloan Management Review. link
Davenport, T.H., Mittal, N. (2022). How Generative AI Is Changing Creative Work. Harvard Business Review (Digital Edition). link
Davenport, T.H., Bean, R., Jain, S. (2022). Why Your Company Needs Data-Product Managers. Harvard Business Review (Digital Edition). link
Davenport, T.H., Miller, S. (2022). What Machines Can’t Do (Yet) in Real Work Settings. MIT Sloan Management Review. link
Davenport, T.H. (in press). Hyper-Personalization for Customer Engagement with Artificial Intelligence. Management and Business Review.
Davenport, T.H., Libert, B. (2022). Product-Led Growth Companies Find a New Way to Serve Customers. MIT Sloan Management Review. link
Davenport, T.H. (2022). AI-Based Innovations at Mayo Clinic. MIT Sloan Management Review. link
Davenport, T.H., Patil, D. (2022). Is Data Scientist Still the Sexiest Job of the 21st Century?. Harvard Business Review (Digital Edition). link
Davenport, T.H., Bean, R. (2022). Becoming an AI Powerhouse Means Going All-In. MIT Sloan Management Review. link
Davenport, T.H., Gumusay, A.A. (in press). AI and the Future of Management Decision-Making. Management and Business Review.
Davenport, T.H., Beab, R. (2022). Clinical AI Gets the Headlines, but Administrative AI May Be a Better Bet. MIT Sloan Management Review. link
Davenport, T.H., Bean, R. (2022). Companies Are Making Serious Money with AI. MIT Sloan Management Review. link
Davenport, T.H. (2021). Making the Case for a Broad View of AI. Journal of AI, Robotics, and Workplace Automation. Henry Stewart. link
Davenport, T.H., Bean, R. (2021). Catching Up Fast By Driving Value from AI. MIT Sloan Management Review. link
Miller, S., Davenport, T.H. (2021). AI and the Future of Work: What We Know Today. The Gradient. link
Davenport, T.H., Bean, R. (2021). Portrait of an AI Leader--Piyush Gupta of DBS Bank. MIT Sloan Management Review. link
Davenport, T.H., Bean, R., King, J. (2021). Why Do Chief Data Officers Have Such Short Tenures?. Harvard Business Review (Print Edition). link
Davenport, T.H., Guha, A., Grewal, D. (2021). How to Design an AI Marketing Strategy. Harvard Business Review (Print Edition). Issue: July-August 2021. link
Davenport, T.H., Zhang, R. (2021). Achieving Return on AI Projects. MIT Sloan Management Review. link
Davenport, T.H., Bean, R. (2021). The Pursuit of AI-Driven Wealth Management. MIT Sloan Management Review. link
Davenport, T.H., Evgeniou, T., Redman, T. (2021). Your Data Supply Chains Are Probably a Mess. Harvard Business Review (Print Edition). link
Johannessen, C., Davenport, T.H. (2021). When Low-Code/No-Code Development Works--And When It Doesn't. Harvard Business Review (Print Edition).
Davenport, T.H., Schaefer, G. (2021). How to Establish an Automation Center of Excellence. MIT Sloan Management Review. link
Davenport, T.H., Bean, R. (2021). Embracing AI When Your Industry Is in Flux. MIT Sloan Management Review. link
Davenport, T.H., Redman , T. (2021). Experiments and Data for Post-COVID-19 Work Arrangements. MIT Sloan Management Review. link
Davenport, T.H., Fitts, J. (2021). AI Can Help Companies Tap New Sources of Data for Analytics. Harvard Business Review (Print Edition). link
Davenport, T.H., Westerman, G. (2021). How HR Leaders Are Preparing for the AI-Enabled Workforce. MIT Sloan Management Review. link
Redman, T., Davenport, T.H. (2021). Four Ways to Democratize Data Science in Your Organization. Harvard Business Review (Print Edition). link
Davenport, T.H., Bean, R. (2021). Execs Bullish on AI But Wary of Data Leadership. MIT Sloan Management Review. link
Davenport, T.H., Malone, K. (2021). Deployment as a Critical Data Science Discipline. Harvard Data Science Review. link
Davenport, T.H., Malone, K. (in press). Deployment as a Critical Business Data Science Discipline. Harvard Data Science Review. MIT Press.
Davenport, T.H. (2020). Enterprise Adoption and Management of Artificial Intelligence. Management and Business Review. Vol: 1, Issue: 1. link
Kudyba, S., Fjermestad, J., Davenport, T.H. (2020). A research model for identifying factors that drive effective decision-making and the future of work. JOURNAL OF INTELLECTUAL CAPITAL. Vol: 21, Issue: 6, Page: 835-851.
Davenport, T.H. (2020). How Large Companies Can Grow Their Data and Analytics Talent. MIT Sloan Management Review. link
Benbya, H., Davenport, T.H., Pachidi, S. (2020). Special Issue Editorial: Artificial Intelligence in Organizations: Current State and Future Opportunities. Vol: 19, Issue: 4, Page: IX-XXI. MIS QUARTERLY EXECUTIVE.
Davenport, T.H., Grewal, D., Guha, A. (in press). What's Next for Marketing AI. Harvard Business Review (Print Edition).
Davenport, T.H. (2020). Beyond Unicorns: Educating, Classifying, and Certifying Data Scientists. Harvard Data Science Review. Issue: 2.2. MIT Press. link
Davenport, T.H., Redman, T. (2020). Getting Serious About Data and Data Science. MIT Sloan Management Review. link
Davenport, T.H., Redman, T., Godfrey, B. (2020). To Fight Pandemics, We Need Better Data. MIT Sloan Management Review. link
Davenport, T.H. (2020). Redefining AI Leadership in the C-Suite. MIT Sloan Management Review. link
Davenport, T.H., Camm, J. (2020). Data Science, Quarantined. MIT Sloan Management Review. link
Davenport, T.H., Camm, J., Bowers, M. (2020). The Recession’s Impact on Analytics and Data Science. MIT Sloan Management Review. link
Redman, T., Davenport, T.H. (2020). Digital Transformation Comes Down to Talent in Four Key Areas. Harvard Business Review (Print Edition). link
Davenport, T.H., Redman, T. (2020). Your Organization Needs a Proprietary Data Strategy. Harvard Business Review (Print Edition). link
Davenport, T.H. (2020). How to Make Better Decisions About Coronavirus. MIT Sloan Management Review. Issue: Summer 2020. link
Davenport, T.H., Mittal, N. (2020). How CEOs Can Lead a Data-Driven Culture. Harvard Business Review (Print Edition). link
Davenport, T.H., Bean, R. (2020). Are You Expecting Too Much of Your Chief Data Officer? . Harvard Business Review (Print Edition). link
Davenport, T.H., Mittal, N., Saif, I. (2020). What Separates Analytical Leaders from Laggards?. MIT Sloan Management Review. link
Davenport, T.H., Guha, A., Grewal, D., Bressgott, T. (2020). The Impact of AI on Marketing. Journal of the Academy of Marketing Science.
Cross, R.L., Davenport, T.H., Gray, P. (2019). Collaborate Smarter, Not Harder. MIT Sloan Management Review.
Davenport, T.H., Kalakota, R. (2019). The Potential for Artificial Intelligence in Healthcare. Future Healthcare Journal. Royal College of Physicians. link
Barro, S., Davenport, T.H. (2019). People and Machines: Partners in Innovation. MIT Sloan Management Review. Vol: 60, Issue: 4, Page: 22-+.
Davenport, T.H. (2018). Can We Solve AI's Trust Problem?. MIT Sloan Management Review. Issue: Winter 2019. MIT. link
Davenport, T.H., Glover, W.J. (2018). Artificial Intelligence and the Augmentation of Health Care Decision-Making. NEJM Catalyst. New England Journal of Medicine. link
Davenport, T.H., Mahidhar, V. (2018). What's Your Cognitive Strategy?. MIT Sloan Management Review. Issue: Summer 2018. link
Davenport, T.H., Ronanki, R. (2018). The Real World of Artificial Intelligence. Harvard Business Review (Print Edition). Harvard Business Publishing. link
Davenport, T.H. (2017). To robo or not to robo? The rise of automated financial advice. Journal of Financial Transformation. Issue: 46, Page: 46-53. Henley Business School/Capco Institute. link
Davenport, T.H. (2017). The rise of cognitive work (re)design: Applying cognitive tools to knowledge-based work. Deloitte Review . Issue: 21. Deloitte University Press. link
Davenport, T.H., DalleMule, L. (2017). "What's Your Data Strategy?". Harvard Business Review (Print Edition). Harvard Business Publishing. link
Kokina, J., Davenport, T.H. (2017). The Emergence of Artificial Intelligence: How Automation is Changing Auditing. Journal of Emerging Technologies in Accounting. Vol: 14, Issue: 1, Page: 115-122. American Accounting Association. link
Davenport, T.H., Phillips, J. (2016). The Future of Marketing Automation. Applied Marketing Analytics. Vol: 2, Issue: 3, Page: 213-224. Henry Stewart Publications LLP. link
Davenport, T.H., Kudyba, S.H. (2016). Designing and Developing Analytics-Based Data Products. MIT Sloan Management Review. Vol: 58, Issue: 1, Page: 83-88. MIT. link
Davenport, T.H. (2016). Rise of the Strategy Machines. MIT Sloan Management Review. Vol: 58, Issue: 1, Page: 48-49. MIT. link
Iyer, B.R., Davenport, T.H. (2016). A New Way for Entrepreneurs to Think About IT. Harvard Business Review (Print Edition). Harvard Business Publishing. link
Davenport, T.H., Kirby, J., , . (2016). Just How Smart Are Smart Machines. MIT Sloan Management Review. Vol: 2016, Issue: Spring. link
Davenport, T.H., Kirby, J. (2015). Beyond Automation. Harvard Business Review (Print Edition). Harvard Business School Publishing. link
Davenport, T.H., Sarma, S. (2014). Setting standards for the Internet of Things. Harvard Business Review (Print Edition). Harvard Business School Publishing. link
Davenport, T.H. (2014). How strategists use "big data" to support internal business decisions, discovery and production. Strategy & Leadership. Emerald Insight.
Davenport, T.H. (2014). What Businesses Can Learn From Sports Analytics. MIT Sloan Management Review. Massachusetts Institute of Technology. link
Davenport, T.H. (2014). Ten kinds of stories to tell with data. Harvard Business Review (Print Edition). link
Davenport, T.H. (2013). Analytics 3.0. Harvard Business Review (Print Edition). Vol: December. Harvard Business School Publishing. link
Davenport, T.H. (2013). Keep Up with Your Quants. Harvard Business Review (Print Edition). Vol: July-August. Harvard Business School Publishing. link
Davenport, T.H., Patil, D.J. (2012). Data Scientist: The Sexist Job of the 21st Century. Harvard Business Review (Print Edition). Harvard Business School Publishing. link
Davenport, T.H., Barth, P., Bean, R. (2012). How 'Big Data' is Different . MIT Sloan Management Review. Vol: 54, Issue: 1, Page: 22-24. link
Molinksy, A., Davenport, T.H., Iyer, B.R., Davidson, C.N. (2012). Three Skills Every 21st-Century Manager Needs. Harvard Business Review (Print Edition). Vol: 90, Issue: 1, Page: 139-143. Harvard Business School Publishing. link
Davenport, T.H. (2009). How to Design Smart Business Experiments. Harvard Business Review (Print Edition). Issue: Feb.
Davenport, T.H. (2009). Make Better Decisions . Harvard Business Review (Print Edition).
Davenport, T.H., Iyer, B.R. (2009). Should You Outsource Your Brain?. Harvard Business Review (Print Edition). Issue: Feb.
Davenport, T.H., Harris, J. (2009). The Prediction Lover’s Handbook. MIT Sloan Management Review. Issue: Winter.
Davenport, T.H. (2009). The Rise of Strategic Analytics. Analytics.
Davenport, T.H., Harris, J. (2009). What People Want, and How to Predict It. MIT Sloan Management Review. Issue: Winter.
Davenport, T.H., Hongsermeier, T.M. (2008). Collaborative Treatment: Guiding and Capturing Decisions at Partners HealthCare. Inside Knowledge.
Davenport, T.H., Prusak, L., Strong, B. (2008). Managing Knowledge: One Size Doesn’t Fit All. MIT Sloan Management Review/Wall Street Journal.
Davenport, T.H., Iyer, B.R. (2008). Reverse Engineering Google’s Innovation Machine. Harvard Business Review (Print Edition).
Davenport, T.H. (2007). Analytics, Humans and Black Boxes. Business Intelligence Review.
Davenport, T.H. (2007). Business Intelligence and the Business Experiment. Business Intelligence Review.
Davenport, T.H., Harris , J. (2007). Competing with Multi-Channel Marketing Analytics. Advertising Age. Vol: 78, Issue: 14, Page: 16-17.
Davenport, T.H. (2007). Ideas for Better Governing. Ripon Forum.
Davenport, T.H., Harris, J. (2007). IT for Analytical Competition. Architecture and Governance. Vol: 3, Issue: 1.
Davenport, T.H., Harris, J. (2007). The Dark Side of Customer Analytics. Harvard Business Review (Print Edition).
Davenport, T.H. (2006). Competing on Analytics. Harvard Business Review (Print Edition).
Davenport, T.H., Prusak, L. (2006). How Much Knowledge Should a Business Give Away?. European Business Forum.
Davenport, T.H., Cross, R., Praise, S. (2006). How to Prevent a Knowledge Loss Crisis. MIT Sloan Management Review.
Davenport, T.H., Steeley, C.P. (2006). Integrating Business Intelligence and Knowledge Management at Intel. Knowledge Management Review. Vol: 8, Issue: 6, Page: 10-15.
Parise, S.A., Cross, R., Davenport, T.H. (2006). Strategies for Preventing a Knowledge-Loss Crisis. MIT Sloan Management Review. Issue: Summer .
Davenport, T.H., Harris, J. (2005). Automated Decision-Making Comes of Age. MIT Sloan Management Review. Vol: 46, Issue: 4, Page: 83-89.
Davenport, T.H. (2005). The Coming Commoditization of Processes. Harvard Business Review (Print Edition).

Books

Davenport, T.H., Mittal, N. (2023). All in On AI: All In on AI: How Smart Companies Win Big with Artificial Intelligence. Harvard Business Review Press. link
Davenport, T.H., Glaser, J., Gardner, E. (2022). Advanced Introduction to AI in Healthcare: Advanced Introduction to AI in Healthcare. Edward Elgar. link
Davenport, T.H., Miller, S. (2022). Working with AI: Working with AI. MIT Press. link
Davenport, T.H., Mittal, N. (2022). All In on AI: All In on AI: How Smart Companies Win Big with Artificial Intelligence. Harvard Business Review Press.
Davenport, T.H., Miller, S. (2022). Working with AI: Working with AI: Real Stories of Human-Machine Collaboration. MIT Press. link
Davenport, T.H., Glaser, J., Gardner, E. (2022). Advanced Introduction to Artificial Intelligence in Healthcare: Advanced Introduction to Artificial Intelligence in Healthcare. Edward Elgar.
Davenport, T.H. (2018). The AI Advantage. MIT Press. link
Davenport, T.H., Harris, J.G. (2017). Competing on Analytics, Revised and Updated. Page: 320. Harvard Business Review Press.
Davenport, T.H., Kirby, J. (2016). Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.
Davenport, T.H. (2014). Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Page: 240. Harvard Business Review Press.
Davenport, T.H., Kim, J. (2013). Keeping Up with the Quants: Your Guide to Understanding and Using Analytics. Page: 240. Harvard Business Review Press.
Davenport, T.H., Manville, B. (2012). Judgement Calls: Twelve Stories of Big Decisions and the Teams that got them Right. Page: 288. Harvard Business School Publishing Corporation.
Davenport, T.H. (2012). Enterprise Analytics: Optimize Performance, Process, and Decisions through Big Data: FT Press Operations Management Series. Issue: 1st, Page: 304. Pearson FT Press.
Davenport, T.H., Harris, J., Morison, R. (2010). Analytics at Work: Smarter Decisions, Better Results: Harvard Business Review. Page: 240. Harvard Business Review Press.
Davenport, T.H., Harris, J. (2007). Competing on Analytics: The New Science of Winning. Harvard Business School Press.
Davenport, T.H., Voelpel , S., Leibold, M. (2006). Strategic Management in the Innovation Economy. Wiley.
Davenport, T.H. (2005). Thinking for a Living: How to Get Better Performance and Results from Knowledge Workers. Harvard Business School Press.
Davenport, T.H., Prusak, L. (2003). What’s the Big Idea?: Creating and Capitalizing on the Best Management Thinking. Harvard Business School Press.

Cases and Teaching Notes

Davenport, T.H., Shankaranarayanan, G., Stoddard, D.B. (2022). ShotSpotter: AI and the Future of Law Enforcement Technology. : ShotSpotter: AI and the Future of Law Enforcement Technology. . Babson Case Center.
Davenport, T.H., Iansiti, M., Serels, A. (2013). Managing with Analytics at Procter & Gamble. Page: 20. Harvard Business Publishing.
Davenport, T.H. (2013). Recorded Future: Analyzing Internet Ideas about What Comes Next. Page: 11. Harvard Business Publishing.
Davenport, T.H., vom Brocke, J., Rosemann, M. (2009). Process Management for Knowledge Works: Business Process Management Handbook.
Davenport, T.H., Strong, B., Prusak, L. (2008). Organizational Governance of Knowledge and Learning: Knowledge and Process Management. Vol: 15, Issue: 2.

Book Chapters

Davenport, T.H. (2021). Artificial Intelligence in Healthcare: Promise and Reality: Healthcare Informatics. Page: 15. Taylor & Francis. link
Davenport, T.H. (2020). Introduction: Strategic Analytics: The Insights You Need From Harvard Business Review. Harvard Business Review. link
Davenport, T.H. (2020). When to Stop Deliberating and Just Make the Call: HBR Guide to Making Better Decisions. Harvard Business Review Press. link
Davenport, T.H. (2019). Building a Culture that Embraces Data and AI: Harvard Business Review. Harvard Business Review. link
Libert, B., Beck, M., Davenport, T.H. (2019). Self-Driving Companies Are Coming: MIT Sloan Management Review. MIT Sloan Management Review. link
Davenport, T.H. (2019). Introduction: Artificial Intelligence: The Insights You Need from Harvard Business Review. Harvard Business Review.
Davenport, T.H. (2019). How to Tame "Automation Sprawl": Harvard Business Review. Harvard Business Review. link
Davenport, T.H. (2019). When to Stop Deliberating and Just Make a Decision: Harvard Business Review. Harvard Business Review. link
Davenport, T.H., Spanyi, A. (2019). What Process Mining Is, and Why Companies Should Do It: Harvard Business Review. Harvard Business Review. link
Davenport, T.H. (2019). Is HR the Most Analytics-Driven Function?: Harvard Business Review. Harvard Business Review. link
Beck, M., Davenport, T.H., Libert, B. (2019). The AI Roles Some Companies Forget to Fill: Harvard Business Review. Harvard Business Review. link
Davenport, T.H. (2019). When to Stop Deliberating and Just Make a Decision: HBR Guide to Making Better Decisions. Harvard Business Review.
Bean, R., Davenport, T.H. (2019). Companies Are Failing In Their Efforts to Become Data-Driven: Harvard Business Review. Harvard Business Review. link
Davenport, T.H., Dasgupta, S. (2019). How to Set Up an AI Center of Excellence: Harvard Business Review. Harvard Business Review. link
Davenport, T.H., Hongsermeier, T., Mc Cord, K. (2018). Using AI to Improve Electronic Health Records: Harvard Business Review. Harvard Business Review. link
Davenport, T.H., Katyal, V. (2018). Every Leader's Guide to the Ethics of AI: MIT Sloan Management Review. MIT. link
Mahidhar, V., Davenport, T.H. (2018). Why Companies That Wait to Adopt AI May Never Catch Up: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Gusczca, J., Szwartz, G. (2018). Using Behavioral Nudges to Treat Diabetes: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Foutty, J. (2018). AI-Driven Leadership: MIT Sloan Management Review. MIT. link
Davenport, T.H., Libert, B., Beck, M. (2018). How B2B Software Vendors Can Help Their Customers Benchmark: Harvard Business Review. link
Davenport, T.H., Bean, R. (2018). The Problem with AI Pilots: MIT Sloan Management Review. MIT. link
Davenport, T.H., Brain, D. (2018). Before Automating Your Company's Processes, Find Ways to Improve Them: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Dreyer, K. (2018). AI Will Change Radiology, but It Won't Replace Radiologists: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Westerman, G. (2018). Why So Many High-Profile Digital Transformations Fail. Harvard Business Publishing. link
Davenport, T.H., Bean, R. (2018). Big Companies Are Embracing Analytics, but Most Still Don't Have a Data-Driven Culture: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Kudyba, S. (2018). Machine Learning Can Help B2B Firms Learn More About Their Customers: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H., Libert, B., Beck, M. (2018). Robo-Advisors Are Coming to Consulting and Corporate Strategy. Harvard Business Review. link
Davenport, T.H. (2017). The Analytics Team: INFORMS Analytics Body of Knowledge. Page: 33. Wiley. link
Davenport, T.H., Bean, R. (2017). How Machine Learning Is Helping Morgan Stanley Better Understand Client Needs. Harvard Business Review. link
Davenport, T.H. (2017). How Analytics Has Changed in the Last Ten Years--And How It's Stayed the Same. Harvard Business Review. link
Davenport, T.H., Bean, R. (2017). How P&G and American Express Are Approaching AI. Harvard Business Review. link
Davenport, T.H. (2017). Why Trump Doesn't Tweet About Automation. Harvard Business Review. link
Davenport, T.H. (2016). 11 Deloitte essays related to analytics, cognitive technology: Eleven essays on analytics and cognitive. Deloitte University Press. link
Davenport, T.H. (2015). An alternative approach to data management: Getting Data Right. O'Reilly Media. link
Shapiro, J., Davenport, T.H. (2013). The Rise of Talent Analytics : Positioned: Strategic Workforce Planning That Gets the Right Person in the Right Job. Page: 203-212. AMACOM, a division of American Management Association.
Davenport, T.H., Lange, J.E. (2011). Prediction Logic: Analytics for Entrepreneurial Thinking: The New Entrepreneurial Leader: Developing Leaders Who Shape Social and Economic Opportunity. Page: 62-75. Berrett-Koehler Publishers.
Davenport, T.H. (2006). Information Technologies for Knowledge Management: Knowledge Creation and Management: New Challenges for Managers. Oxford University Press.
Davenport, T.H., Prusak, L. (2004). Knowledge Management in Consulting: The Contemporary Consultant: Handbook of Management Consulting. Thomson Southwestern.

Reports

Davenport, T.H. (2021). The Business Value of MLOps. DataRobot. link
Davenport, T.H., Mahidhar, V. (2021). Pilots, Copilots, and Engineers: Digital Transformation Insights from CIOs for CIOs. Genpact. link
Davenport, T.H. (2014). Analytics in Sports: The New Science of Winning. SAS Institute, Inc.. link
Davenport, T.H. (2013). At the Big Data Crossroads: turning towards a smarter travel experience. Amadeus IT Group. link
Davenport, T.H. (2013). The Rise of Data Discovery. Teradata Corporation. link
Davenport, T.H., Dyché, J. (2013). Big Data in Big Companies. SAS Institute Inc.. link

Other

Davenport, T.H. (2019). Can We Solve Al's 'Trust Problem'?. Vol: 60, Issue: 2, Page: 18-19. MIT SLOAN MANAGEMENT REVIEW.
Davenport, T.H., Spanyi, A. (2019). Digital Transformation Should Start with Customers: MIT Sloan Management Review. MIT Sloan Management Review. link
Davenport, T.H. (2019). What Does An AI Ethicist Do?: MIT Sloan Management Review. MIT Sloan Management Review. link
Davenport, T.H. (2018). 17 online columns in Forbes. Forbes magazine. link
Davenport, T.H. (2017). "When Jobs Become Commodities": MIT Sloan Management Review. Page: 2. link
Davenport, T.H. (2016). Seven digital articles in Harvard Business Review: Harvard Business Review. Harvard Business Publishing. link
Davenport, T.H. (2016). Two posts per month in Data Informed--17 in 2016: Data Informed website. Wellesley Information Services. link
Davenport, T.H. (2016). Managing with Analytics Simulation. Harvard Business School Publishing.
Davenport, T.H. (2015). Lessons from the cognitive front lines: early adopters of IBM's Watson. The Wall Street Journal. link
Davenport, T., Iyer, B.R. (2015). Bringing Outsourcing back -- to Machines,. Bala Iyer. link
Davenport, T.H., Iyer, B.R. (2013). Move Beyond Enterprise IT to an API Strategy: HBR Blog Network. Vol: August 6. Harvard Business Review.

Eight Ways CDOs Create and Demonstrate Value Davenport, T. CDO/IQ Symposium Europe, Lausanne, Switzerland (2023)
Eight Ways CDOs Create and Demonstrate Value Davenport, T. MIT Chief Data Officer/Information Quality Symposium, Cambridge, MA (2023)
The Rise of "Tweeners" in Data Science Davenport, T. Redman, T. MIT Chief Data Officer/Information Quality Symposium, Cambridge, MA (2023)
AI for Data Davenport, T. MIT Chief Data Officer/Information Quality Summit, Cambridge, MA (2022)
Working with AI Davenport, T. MIT Emtech Next, Cambridge, MA (2022)
AI and Ecosystems Davenport, T. MIT CIO Symposium, Cambridge, MA (2022)
State of Enterprise AI Davenport, T. University of California Santa Barbara, Santa Barbara, CA (2022)
Critical Success Factors for Return on Investment from AI Davenport, T. Srinivasan, L. MIT Sloan Management Review Webinar, virtual (2021)
How to Unleash Data Science to Become a Model-Driven Business Davenport, T. How to Unleash Data Science to Become a Model-Driven Business, virtual (2021)
Advice for CIOs from CIOs: Exploring the Future of the Role Davenport, T. Mahidhar, V. MIT CIO Symposium, virtual (2021)
The Future of Work Now: People Who Work with AI Davenport, T. Oxford Saïd TOPOS Research Seminar, Oxford, UK (virtual) (2020)
Rebooting Enterprise ANalytics and AI Davenport, T. Australia Analytics Summit, virtual (2020)
Beyond Unicorns: Educating, Categorizing, and Certifying Data Scientists Davenport, T. IADSS Summit, virtual (2020)
BizOps and Automated Decision-Making Davenport, T. BizOps Virtual Summit, virtual (2020)
Getting a Return on Artificial Intelligence Davenport, T. Databricks Executive Forum, virtual (2020)
The State of Enterprise AI Davenport, T. MIT CIO Symposium--Digital Learning Series, virtual (2020)
The Role of Data in Artificial Intelligence Davenport, T. Informatica CLAIREView, Las Vegas (2020)
The State of Enterprise AI Davenport, T. Federal Reserve Analytics and AI Summit, St. Louis Federal Reserve (2020)
Robotic Process Automation in the Life Sciences Davenport, T. AI in Biopharma Summit, Harvard Medical School, Boston (2019)
The State of AI in Financial Services Davenport, T. Analytics and AI Summit, Charlotte, NC (2019)
AI in HR, HR in AI Davenport, T. Annual Meeting, Redwood City, CA (2019)
The State of Enterprise AI Davenport, T. Analytics Summit, Detroit (2019)
Process Mining and the Superfluid Enterprise Davenport, T. Superfluid World Tour, Atlanta, New York, Chicago, San Francisco (2019)
AI in Manufacturing Davenport, T. Manufacturing Technology Summit, Tokyo, Japan (2019)
The State of AI in Banking Davenport, T. TD Analytics Summit, Toronto (2019)
The State of Enterprise AI Davenport, T. AI Summit, Westwood, MA (2019)
The State of Enterprise AI Davenport, T. Analytics and AI Summit, Minneapolis (2019)
AI in Healthcare Providers Davenport, T. Healthcare CEO Summit, Newport, RI (2019)
Enterprise AI and Enterprise Data Davenport, T. MIT Chief Data Officer and Information Quality Summit, Cambridge, MA (2019)
Managing Digital Labor Davenport, T. Digital Labor Summit, New York (2019)
The State of Enterprise AI Davenport, T. Initiative on the Digital Economy Annual Meeting, Cambridge--Media Lab (2019)
Panel leader--Robotic Process Automation Davenport, T. MIT CIO Summit, Cambridge, MA (2019)
Enterprise AI--short presentation and discussion on panel Davenport, T. Tech Intercept, Menlo Park, CA (2019)
The State of Enterprise AI Davenport, T. Disruption by Design, Toronto (2019)
The State of Enterprise AI Davenport, T. AI and Machine Learning Speaker Series, New York Stock Exchange (2019)
Four Eras of Analytics Davenport, T. Beyond 2018, Washington, DC (2018)
Digital Transformation Davenport, T. Monterrey Executive Summit, Monterrey, MX (2018)
Four Eras of Analytics Davenport, T. Tampere Executive Summit, Tampere, Finland (2018)
Four Eras of Analytics Davenport, T. Analytics Summit Santiago, Santiago Chile (2018)
Business Analytics: The Revolution That Changed the Relationship Between Business and Academia Davenport, T. AACSB Co-Lab, Philadelphia, PA (2018)
Four Eras of Analytics Davenport, T. Snowflake World Tour, San Francisco, Seattle, New York (2018)
Leading Digital Businesses Davenport, T. Enel Top Management Conference, Rome, Italy (2018)
The Rise of the Digital Workforce Davenport, T. Digital Workforce Summit, New York (2017)
Four Eras of Analytics Davenport, T. Harvard Analytics Academy, Harvard University in Cambridge (2017)
Analytics and Cognitive Technology in Health Care Davenport, T. IT Leadership in Health Care, Harvard School of Public Health (2017)
The Cognitive Corporation Davenport, T. MIT CIO Summit, MIT, Cambridge MA (2017)
Analytics and Cognitive Technology in Marketing Davenport, T. Effectiveness Week, London (2016)
The Evolution of Customer Intelligence Davenport, T. Dreamforce, San Francisco (2016)
Four Eras of Analytics Davenport, T. FICO Advanced Analytics Leadership Forum, Dallas (2016)
Artificial Intelligence and Strategy Davenport, T. Practice and Research in Strategic Management, New York (2016)
Only Humans Need Apply Davenport, T. O'Reilly Artificial Intelligence Conference, New York (2016)
Four Eras of Analytics Davenport, T. Big Data, Better Decisions, Brighter Future, Cork, Ireland (2016)
Only Humans Need Apply Davenport, T. Latin American Entrepreneurship Conference, Santiago, Chile (2016)
Beyond Automation: How Humans Can Add Value to Very Smart Machines Davenport, T. International Conference on Information Systems, Fort Worth, TX (2015)
Beyond Automation: How Humans Can Add Value to Very Smart Machines Davenport, T. ACS Thought Leaders Summit, Sydney (2015)
The Future of Human Labor Davenport, T. Drucker Forum, Vienna (2015)
Analytics 3.0 and the Future of Big Data Davenport, T. Big Data Summit, Gyeongii, South Korea (2015)
Big Data and Analytics Davenport, T. An Audience with Tom Davenport, Cork, Ireland (2015)
Analytics 3.0 and Decision Automation Davenport, T. Dreamforce 2015, San Francisco (2015)
Analytics and Automation in Accounting--The New AAA? Davenport, T. AAA Annual Meeting, Chicago, IL (2015)
Analytics and Big Data in Accounting Davenport, T. Annual Meeting, Chicago (2015)
Managing Technological Disruption in Health Care Davenport, T. Cerner CEO Summit, Newport, RI (2015)
Analytics in Finance Davenport, T. Latin American CEO Summit, Dallas (2015)
Analytics 3.0 and the Future of Big Data Davenport, T. Big Data Summit, Las Vegas (2015)
Analytics 3.0 and the Future of Big Data Davenport, T. Big Data Summit, Jakarta, Indonesia (2015)
"Analytics 3.0" Davenport, T. Georgia Tech Business Analytics and Big Data Forum, Atlanta (2015)
Automation and the Future of Knowledge Work Davenport, T. Big Data and the Knowledge Worker: Impacts on Labor and the Economy, Boston (2015)
Analytics 3.0 and the Future of Big Data Davenport, T. TDWI Annual Conference, Las Vegas (2015)
The Future of Big Data Davenport, T. HSM Management Summit, Sao Paulo, Brazil (2014)
The Analytics of Things Davenport, T. Internet of Things Global Summit, Washington, DC (2014)
Analytics in Finance Davenport, T. Controller Forum 2014, Stuttgart, Germany (2014)
Marketing and Customer Analytics Davenport, T. Europe's Customer Festival, London (2014)
Big Data in Marketing Davenport, T. Argyros, T. , (2013)
Big Data in Big Companies Davenport, T. MIT Center for Digital Business Annual Conference, Cambridge, MA (2013)
Analytics 3.0 Davenport, T. , Cambridge, MA (2013)
Analytics 3.0 Davenport, T. Dean’s Lecture, (2013)
Big Data in Big Companies: Analytics 3.0 Davenport, T. International Institute for Analytics Annual Summit, Chicago, IL (2013)
Analytics in Health Care Davenport, T. , Boston, MA (2013)
Big Data Davenport, T. MIT CIO Summit, (2013)
Research on Big Data Davenport, T. BI Congress III, Orlando, FL (2012)
Big Data Analytics at Work Davenport, T. Marketing Science Institute , Cambridge, MA (2012)
Big vs. Small Data Analytics Davenport, T. Berkeley CIO Leadership Program, (2012)
Analytics in Healthcare Davenport, T. Harvard School of Public Health, (2012)
Big vs. Small Data Analytics Davenport, T. MIT Center for Digital Business, (2012)
Analytics Davenport, T. SAS Premier Business Leadership Series , Berlin, Hong Kong, and Las Vegas (2011)
Organizing Analytics in Retail Davenport, T. International Institute for Analytics Retail Analytics Research Council, Boston, MA (2011)
Analytics in Human Resources Davenport, T. HR50 Conference, New York, NY (2011)
What's Next for Analytics Davenport, T. Predictive Analytics World, New York, NY (2011)
Business Analytics and Business Intelligence Davenport, T. Business Intelligence Congress, Brussels, Belgium (2011)
Analytical Performance Management and Other Analytical Topics for CFOs Davenport, T. CFO Magazine Performance Management Conference, Dallas, TX (2011)
Analytics in Health and Life Sciences Davenport, T. SAS HLS Summit, Cary, NC (2011)
Analytics in Manufacturing Davenport, T. Deloitte Manufacturing Summit, Palm Beach, FL (2011)
Analytics at Work Davenport, T. Twin Cities Business Intelligence Association, Minneapolis (2010)
Analytics at Work Davenport, T. INFORMS Practice Conference, Orlando, FL (2010)
Analytics in Retail Davenport, T. National Retail Federation, New York, NY (2010)
Workspace Design and Networks Parise, S. Beers, M. Davenport, T. Babson College Working Knowledge conference, Wellesley, MA (2007)
Undisclosed Davenport, T. “Competing on Analytics” conference series , 15 cities and 4 countries (2007)

Thomas Davenport

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