Thomas Davenport
- Professor
- President's Distinguished Professor of Information Technology
Academic Division: Operations and Information Management
Academic Degrees
- Ph D, Harvard University
- MA, Harvard University
- BA, Trinity University
Awards & Honors
- 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
Courses
Degree Courses 2024
- OIM 7545 ARTIFICIAL INTELLIGENCE FOR BUSINESS
Degree Courses 2023
- OIM 7545 ARTIFICIAL INTELLIGENCE FOR BUSINESS
- OIM 3580 ARTIFICIAL INTELLIGENCE IN BUSINESS
Publications
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
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