Tom Davenport’s work stands at the intersection of research and practice. Many of his over 250 groundbreaking articles have become widely-used guides to managerial action. He has published in such outlets as the Harvard Business Review, Sloan Management Review, California Management Review, Deloitte University Press, and The Financial Times. His 2006 article, Competing on Analytics, was named one of the ten must-read articles in HBR’s 90 year history. Below are a few of his greatest (article) hits.
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Published Articles
- Harvard Business Review
- MIT Sloan Management Review
- Forbes
- Deloitte Insights
- The Wall Street Journal (CIO Journal)
- Other Sources
Harvard Business Review Articles
Use GenAI to Uncover New Insights into Your Competitors November 17, 2023
How AI Fits into Lean Six Sigma November 9, 2023
Transform Business Operations with Process Mining October 9, 2023
Harnessing Grassroots Automation September 11, 2023
How to Make Generative AI Greener July 20, 2023
We’re All Programmers Now: With generative AI, anyone can code. Here’s how to help your enterprise embrace this change. September/October 2023 issue
Your Data Strategy Needs to Include Everyone June 7, 2023
8 Strategies for Chief Data Officers to Create — and Demonstrate — Value January 31, 2023
Stop Tinkering with AI, January/February 2023 Magazine issue
How Generative AI Is Changing Creative Work, November 14, 2022
Why Your Company Needs Data-Product Managers, October 13, 2022
Is Data Scientist Still the Sexiest Job of the 21st Century?, July 15, 2022
How Legacy Companies Can Pivot to a Platform Model, March 9, 2022
Why Do Chief Data Officers Have Such Short Tenures?, August 18, 2021
Your Data Supply Chains Are Probably a Mess. Here’s How to Fix Them., June 24, 2021
How to Design an AI Marketing Strategy, July 2021 issue
Your Data Supply Chains Are Probably a Mess. Here’s How to Fix Them, June 24, 2021
When Low-Code/No-Code Development Works — and When It Doesn’t, June 22, 2021
AI Can Help Companies Tap New Sources of Data for Analytics, March 19, 2021
4 Ways to Democratize Data Science in Your Organization, March 8, 2021
Digital Transformation Comes Down to Talent in 4 Key Areas, May 21, 2020
Your Organization Needs a Proprietary Data Strategy, May 04, 2020
How CEOs Can Lead a Data-Driven Culture, March 23, 2020
Are You Asking Too Much of Your Chief Data Officer?, February 7, 2020
Creating a Data-Driven Culture, January 27, 2020
2019
Building a Culture That Embraces Data and AI, October 28, 2019
How to Tame “Automation Sprawl, July 19, 2019
When to Stop Deliberating and Just Make a Decision, July 9, 2019
What Process Mining Is, and Why Companies Should Do It. , Harvard Business Review, April 23, 2019
Is HR the Most Analytics-Driven Function?, Harvard Business Review, April 18, 2019
Companies Are Failing in Their Efforts to Become Data-Driven , Harvard Business Review, February 5, 2019
Artificial Intelligence for the Real World, Harvard Business Review, Jan/Feb 2019
How to Set Up an AI Center of Excellence, Harvard Business Review, January 16, 2019
2018
Using AI to Improve Electronic Health Records, Harvard Business Review, December 13, 2018
Why Companies That Wait to Adopt AI May Never Catch Up, Harvard Business Review, December 6, 2018
Using Behavioral Nudges to Treat Diabetes, Harvard Business Review, October 10, 2018
How B2B Software Vendors Can Help Their Customers Benchmark, Harvard Business Review, August 10, 2018
Before Automating Your Companies Processes, Find Ways to Improve Them, Harvard Business Review, June 13, 2018
AI Will Change Radiology, but It Won't Replace Radiologists, Harvard Business Review, March 27, 2018
Big Companies are Embracing Analytics, But Most Still Don't Have a Data-Driven Culture, Harvard Business Review, February 15, 2018
Why So Many High-Profile Digital Transformations Fail, Harvard Business Review, March 9, 2018
Machine Learning Can Help B2B Firms Learn More About Their Customers, Harvard Business Review, January 19, 2018
Artificial Intelligence for the Real World, Harvard Business Review, January/February 2018 issue
Robo-Advisors are Coming to Consulting and Corporate Strategy, Harvard Business Review, January 12, 2018
MIT Sloan Management Review Articles
The Rise of Connector Roles in Data Science, November 27, 2023
AI Ethics at Unilever: From Policy to Process, November 15, 2023
Generative AI at Mastercard: Governance Takes Center Stage, August 30, 2023
The Impact of Generative AI on Hollywood and Entertainment, June 19, 2023
How Northwestern Mutual Embraces AI, March 29, 2023
Action and Inaction on Data, Analytics, and AI, January 19, 2023
How AI Is Improving Data Management, December 20, 2022
Developing Successful Data Products at Regions Bank, November 10, 2022
What Machines Can’t Do (Yet) in Real Work Settings, October 5, 2022
Product-Led Growth Companies Find a New Way to Serve Customers, September 7, 2022
AI-Based Innovations at Mayo Clinic, August 8, 2022
Becoming an ‘AI Powerhouse’ Means Going All In, June 15, 2022
Clinical AI Gets the Headlines, but Administrative AI May Be a Better Bet, April 11, 2022
Companies Are Making Serious Money With AI, February 17, 2022
Catching Up Fast by Driving Value From AI, December 29, 2021
Portrait of an AI Leader: Piyush Gupta of DBS Bank, August 31, 2021
Achieving Return on AI Projects, July 20, 2021
Portrait of an AI Leader: Piyush Gupta of DBS Bank, August 31, 2021
Achieving Return on AI Projects, July 20, 2021
Embracing AI When Your Industry Is in Flux, May 5, 2021
How to Establish an Automation Center of Excellence, MIT Sloan Management Review, May 26, 2021
Experiments and Data for Post-COVID-19 Work Arrangements, MIT Sloan Management Review, March 23, 2021
How HR Leaders Are Preparing for the AI-Enabled Workforce, MIT Sloan Management Review, March 17, 2021
Execs Bullish on AI but Wary of Data Leadership, MIT Sloan Management Review, March 5, 2021
What is a Minimum Viable AI Product, MIT Sloan Management Review, December 15, 2020
How Large Companies Can Grow Their Data and Analytics Talent, MIT Sloan Management Review, November 17, 2020
Getting Serious About Data and Data Science, MIT Sloan Management Review, September 28, 2020
Data Science, Quarantined, MIT Sloan Management Review, July 15, 2020
The Recession’s Impact on Analytics and Data Science, MIT Sloan Management Review, June 16, 2020
How to Make Better Decisions About Coronavirus, MIT Sloan Management Review, April 8, 2020
What Separates Analytical Leaders From Laggards?, MIT Sloan Management Review, February 3, 2020
2017 - 2019
Digital Transformation Should Start With Customers , MIT Sloan Management Review, October 10, 2019
Collaborate Smarter, Not Harder, MIT Sloan Management Review, September 10, 2019
Self-Driving Companies Are Coming, MIT Sloan Management Review, August 29, 2019
What Does an AI Ethicist Do?, MIT Sloan Management Review, June 24, 2019
People and Machines: Partners in Innovation, MIT Sloan Management Review, June 11, 2019
Every Leader's Guide to the Ethnics of AI, MIT Sloan Management Review, December 6, 2018AI Driven Leadership, MIT Sloan Management Review, August 10, 2018
The Problem with AI Pilots, MIT Sloan Management Review, July 26, 2018
What's Your Cognitive Strategy, MIT Sloan Management Review, May 10, 2018
Three ways businesses use artificial intelligence, MIT Sloan Management Review, July 24, 2017
When Jobs Become Commodities, MIT Sloan Management Review, July 21, 2017
Designing and Developing Analytics-Based Data Products , MIT Sloan Management Review, September 13, 2016
Rise of the Strategy Machines, MIT Sloan Management Review, August 25, 2016
Just How Smart Are Smart Machines, MIT Sloan Management Review, March 15, 2016Forbes Articles
XREA And Information Services In The AI Age, Forbes, November 7, 2023
A New Survey Of Generative AI Shows Lots Of Work To Do, Forbes, October 17, 2023
Are Boards Kidding Themselves About Generative AI?, Forbes, October 5, 2023
Generative AI For Customer Service At Ada And Wealthsimple, Forbes, September 20, 2023
Fast, Cheap, And In Control: Generative AI In Morningstar’s Mo, Forbes, June 26, 2023
Wolters Kluwer At 187: How An Information Company Adapts To AI, Forbes, May 31, 2023
Missing The AI Forest For The Generative AI Tree, Forbes, May 29, 2023
How Morgan Stanley Is Training GPT To Help Financial Advisors, Forbes, March 20, 2023
Cuebric: Generative AI Comes To Hollywood, Forbes, March 13, 2023
Intelligent Automation at Johnson & Johnson, Forbes, March 1, 2023
Sensing The External World At Signal AI, Forbes, February 24, 2023
Citizen Data Science And Automation At AT&T, Forbes, January 30, 2023
Transforming The Internet With Project Liberty , Forbes, November 18, 2022
Why Your Company Needs Data-Product Managers , Forbes, October 13, 2022
How Truist CDO Tracy Daniels Adds Value To Her Organization , Forbes, October 6, 2022
Is California Ready For Electric Vehicles?, Forbes, August 26, 2022 Learning Analytics And AI Best Practices From Fractal, Forbes, June 20, 2022Telstra Ventures And Data Science-Driven Investing, Forbes, June 13, 2022
Arteria AI, Goldman Sachs, And The Transformation Of Financial Legal Documents, Forbes, May 17, 2022
New Mindsets for Digital Transformation, Forbes, April 12, 2022
Your CEO to Really Get AI, Forbes, March 7, 2022
Digital Workers Are Toiling Away At A Bank Near You, Forbes, March 1, 2022
Platform Agnosticism, Fabrics And Faster Data Access: Unwrapping A Solution Is The Cloud Slower For Analytical Insights, Forbes, January 21, 2022
Is The Cloud Slower For Analytical Insights?, Forbes, January 21, 2022
Was Your Information Swimming Naked During The Pandemic?, Forbes, January 13, 2022
Identifying Patients Needing Help With Squark AutoML At UPMC, Forbes, November, 19 2021
Extracting Customer Knowledge With SupportLogic, Forbes, October, 28 2021
A New Era Of Enterprise Systems With Unqork, Forbes, October, 20 2021
Toward Better Data Science: Mostly People, But Also Process and Technology, Forbes, October, 12 2021
Secrets From The Winner Of The CMS AI Health Outcomes Challenge, Forbes, August 5, 2021
Improving The Healthcare Revenue Cycle With AI And RPA, Forbes, June 14, 2021
The Future Of Work Now: Ethical AI At Salesforce, Forbes, May 27, 2021
The Future Of Work Now: Intelligent Mortgage Processing At Radius Financial Group, Forbes, May 4, 2021
The Shift to Collaborative Analytics, Forbes, April 30, 2021
The Future Of Work Now: Product Managers at Shopee, Forbes, April 20, 2021
The Future Of Work Now: Customer Science At DBS Bank, Forbes, April 7, 2021
The Future Of Work Now: AI-Assisted Clothing Stylists At Stitch Fix, Forbes, March 12, 2021
The Future Of Work Now: Good Doctor Technology For Intelligent Telemedicine In Southeast Asia, Forbes, March 2, 2021
An Emerging Consensus Among Chief Data Officers, Forbes, February 26, 2021
Augmented Reality: The New Knowledge Management, Forbes, February 5, 2021
The Future of Work Now: AI Driven Policing in Wilmington NC, Forbes, February 3, 2021
The Future Of Work Now: Pharmacists And The Robotic Pharmacy At Stanford Health Care, Forbes, January 18, 2021
Data Exhaust Turbocharges Mastercard, Forbes, January 13, 2021
The Future Of Work Now: Diesel Oil Analysis At The MBTA, Forbes, December 10, 2020
The Future of Work Now: University Fundraising With Gravyty, Forbes, November 17, 2020
The Future Of Work Now: AI-Assisted Writing With Writer.com And Intuit, Forbes, November 10, 2020
The Future of Work Now: AI-Assisted Skin Imaging, Forbes, November 3, 2020
The Future Of Work Now: AI-Driven Transaction Surveillance At DBS Bank, Forbes, October 21, 2020
The Future of Work Now: AutoML At 84.51˚ And Kroger, Forbes, October 21, 2020
Optum Focuses on AI To Improve Administrative Decisions, Forbes, October 9, 2020
The Future Of Work Now: The Multi-Faceted Mall Security Guard At A Multi-Faceted Jewel, Forbes, September 28, 2020
Return On AI: The CDAO Perspective, Forbes, September 24, 2020
The Evolution Of Technology Management Reporting Relationships At Citizens Financial, Forbes, September 14, 2020
Bots For The People, By The People At Bank Of Montreal, Forbes, August 3, 2020
Is AI Getting Easier? , Forbes, July 14, 2020
Establishing a New Chief Data and Analytics Role and Commerzbank , Forbes, July 7, 2020
Process Mining: From Analytics To Action, Forbes, June 30, 2020
The Future Of Work Now: The Computer-Assisted Translator And Lilt, Forbes, June 29, 2020
Digitizing And Automating Unsung Heroics: The Case Of Pathology, Forbes, June 23, 2020
The Future Of Work Now: Morgan Stanley’s Financial Advisors And The Next Best Action System, Forbes, May 16, 2020
Steve Platt And Experian: Decades Of Delivering Return On AI, Forbes, May 16, 2020
Innovaccer And Value-Based Healthcare in the Age of Covid-19, Forbes, April 23, 2020
JoAnn Stonier Of Mastercard—A Unique Take On The CDO Role, Forbes, April 13, 2020
Data-Driven Innovation And Change At Nationwide, Forbes, April 9, 2020
The Future Of Work Now: Digital Weeder, Forbes, March 21, 2020
Winter Is Coming—For The Economy And AI, Forbes, March 12, 2020
The Houston Astros And The Ethical Use Of Data And Analytics, Forbes, March 4, 2020An Emerging Consensus Among Chief Data Officers, Forbes, February 26, 2020
Exponential RPA And AI At Nielsen, Forbes, February 17, 2020
Accelerating Learning Through AI At Cerego And TechStyle , Forbes, January 23, 2020
Accelerating Learning Through AI At Cerego And TechStyle , Forbes, January 10, 2020
The Future Of Work Now—Medical Coding With AI , Forbes, January 3, 2020
2019
Continuous Improvement and Automation at Voya Financial, Forbes, December 9, 2019
Learning From The Canadian Model Of AI , Forbes, November 19, 2019
AI At JPMorgan Chase—Breadth, Depth And Change, Forbes, November 12, 2019
AI Foundry And Radius Financial Group Partner To Automate Residential Mortgage Loans, Forbes, November 6, 2019
The Future Of Work Is Now—The Digital Life Underwriter , Forbes, October 28, 2019
Managing Support Knowledge With AI: Talla Helps Toast , Forbes, October 10, 2019
Information Technology Powers (Almost) All Innovation , Forbes, September 23, 2019
New York-Presbyterian, WorkFusion, And The Intelligent Automation Of Health Care Administration, Forbes, September 15, 2019
Augmenting Digital Marketing Intelligence With conDati, Forbes, August 19, 2019
Five Ways To Make The Chief Data Officer Job A Great One, Forbes, August 2, 2019
How Conversica Uses AI To Move Customers Along The Marketing Funnel, Forbes, July 24, 2019
Advancing the Debate on Taxing Robots, Forbes, June 13, 2019
A Marriage of Robotic Process Automation and Machine Learning, Forbes, June 4, 2019
Rethinking the Role of Chief Data Officer, Forbes, May 22, 2019
Sharing Employee Health Data At The Health Transformation Alliance, Forbes, May 2, 2019
AI Is Destroying Traditional Business Thinking, Forbes, April 5, 2019
Building an Analytical Talent Ecosystem at Principal, Forbes, March 18, 2019
Explainable AI and the Rebirth of Rules, Forbes, March 18, 2019
Wyndham Creates Smarter Automated Processes with Kryon's 'Process Discovery', Forbes, January 7, 2019
2018
A 2019 Forecast for Data-Driven Business: From AI to Ethics, Forbes, December 17, 2018
Autonomous Vehicles Are Likely to Be a Slowly-Arriving Commodity, Forbes, December 12, 2018
The State of AI in Pharmaceutical Drug Development, Forbes, November 18, 2018
Farmers Accelerates its Time to Impact with AI, Forbes, August 1, 2018
Chief Data Scientists Have to Pick Their Shots, Forbes, July 24, 2018
Google's AI Moral Code for Customers and Products -- But How About Employees? Forbes, June 21, 2018
Feeding a Data-Hungry Organizations at Charles Schwab, Forbes, June 5, 2018
Using Social Media Analytics during Disasters: Lessons from the 2015 Chennai Floods, Forbes, May 3, 2018
Even Entrepreneurs Need Analytics, Forbes, April 18, 2018
84.51° Builds a Machine Learning Machine for Kroger, Forbes, April 2, 2018
How ADP Gives Data Value Back to Its Customers, Forbes, March 12, 2018
Shining Up A Rusty Industry with Artificial Intelligence, Forbes, February 8, 2018
Predicting the Future of AI from Bellwether Companies, Forbes, January 22, 2018
Biting the Data Management Bullet at GlaxoSmithKline, Forbes, January 8, 2018
Deloitte Insights Articles
2019
Analytics and AI-driven enterprises thrive in the Age of With , Deloitte Insights, July 25 2019
How is the cloud accelerating the adoption of AI?, Deloitte Insights, March 2019
Automated machine learning and the democratization of insights, Deloitte Insights, March 25, 2019
2017 - 2018
State of AI in the Enterprise, 2nd Edition, Deloitte Insights, November 28, 2018
It's Time to Modernize Your Big Data Management Techniques, Deloitte Insights, July 20, 2018
A Revolution in Data-Driven Quality Improvement, Deloitte Insights, April 26, 2018
Cognitive Technologies: Bringing value to the audit process, Deloitte Insights, January 2018
Dispelling 5 Myths about Cognitive Technology, Deloitte Insights, December 18, 2017
Cognitive Healthcare in 2027: Harnessing a data-driven approach in personalized health care, Deloitte Insights, September 12, 2017
The Rise of Cognitive Work (Re)Design: Applying Cognitive Tools to Knowledge-Based Work, Deloitte Insights, July 31, 2017
Beyond "doing something cognitive": A systematic approach to implementing cognitive technologies, Deloitte Insights, April 19, 2017
Time to Move: From Interest to Adoption of Cognitive Technology, Deloitte Insights, March 10, 2017
The Changing World of Technology in Financial Services, Deloitte Insights, January 27, 2017
The Wall Street Journal (CIO Journal) Articles
2017 — 2019
Data Not Leading to Insights? Culture May Be to Blame, The Wall Street Journal, September 29, 2019
The State of AI in the Enterprise, The Wall Street Journal, September 13, 2019
Early Adopters Bullish on Business Value of Cognitive, The Wall Street Journal, January 23, 2018
How to Outflank the Competition with Analytics, The Wall Street Journal, December 14, 2017
2016
Cracking the Operational Analytics Nut, The Wall Street Journal, October 31, 2016
The Rise of Cognitive Agents , The Wall Street Journal, September 22, 2016
Five Types of Analytics of Things, The Wall Street Journal, August 31, 2016
The Myth of the Data Scientist Shortage, The Wall Street Journal, August 11, 2016
Will Cognitive Automation Spell the End of Outsourcing?, The Wall Street Journal, June 3, 2016
Some Tips on Job Security in the Robot Age , The Wall Street Journal, June 21, 2016
Cognitive Apps: Home Runs vs. Base Hits, The Wall Street Journal, April 4, 2016
Innovation in Audit Takes Analytics, AI Route, The Wall Street Journal, March 22, 2016
How Managers Can Help Humans Work Better with Smart Machines, The Wall Street Journal, March 15, 2016
Why Board of Directors Need a Digital Leader, The Wall Street Journal, February 22, 2016
Automation Is So Yesterday, The Wall Street Journal, January 7, 2016
Articles from Different Sources
A decade of observing AI and work: What can HR learn?HRD Connect, October 10, 2023, Interview with Tom Davenport
Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda , International Journal of Information Management, October 18, 2023
Hyper-Personalization for Customer Engagement with Artificial Intelligence , Management and Business Review, page 29 - Spring 2023
Components of an Analytics Strategy , IIA, July 18, 2022
Developing a Product Orientation for Analytics and AI: Assumptions and Capabilities, IIA, May 16, 2022
Why Adopt a Product Orientation for Analytics and AI?, IIA, April 18, 2022
A Codeless Architecture and its Implications , April 28, 2022
Healthcare Organizations Need to Be Like Banks, The Yuan, February 8, 2022
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum, January 12, 2022
Taking AI from the Bench to the Bedside: Why Does it Take So Long?, The Yuan, August 16, 2021
Still Wanted: (Much) Better COVID Data,Datanami, August 2, 2021
Artificial Intelligence and Work: Two Perspectives, Harvard Data Science Review, February 10, 2021
Deployment as a Critical Business Data Science Discipline, Harvard Data Science Review, February 10, 2021
Enterprise Adoption and Management of ARTIFICIAL INTELLIGENCE, Management and Business Review, Winter 2021 Issue
Debate: Is China's Artificial Intelligence Advantage Overblown?, Pairagraph, September 6, 2020
Big Data and AI Executive Survey, NewVantage Partners, January 2020
Don't Fear the Future, Babson Magazine, December, 2019
“Physics Envy” and the Second - Class Status of Translators", Information Age, October 30, 2019
If you want to see the benefits of AI, forget moonshots and think boring", Information Age, September 4, 2019
Application of AI for Knowledge Management", CIO Review, September, 2019
In Praise of “Boring AI”, In Praise of "Boring AI", August 2, 2019
Enterprise AI: Think Big, Start Small, MIT Initiative on the Digital Economy, May 1, 2019
The Business Value of Digital Workflows, ServiceNow, Spring 2019 Issue
Jump Proudly on the AI Bandwagon, IIA, April 4, 2019
New study: The state of AI in the enterprise, Google Cloud, March 1, 2019
AI is a Linear — Not Exponential — Technology, International Institute for Analytics (IIA), December 20, 2018
Will Data Scientist Continue To Be the Sexiest Job?, International Institute for Analytics (IIA), May 8, 2018
Do You Need a Ph.D. to Run Analytics or Data Science? International Institute for Analytics (IIA), March 22, 2018
The data scientist in the age of AI and IoT, CIO, November 15, 2017
69% of Executives say AI won't kill jobs , TechRepublic Report, November 13, 2017
Are Analytics Truly Self-Service, MIT Digital, August 22, 2017
Are Analytics Truly Self-Service? , International Institute for Analytics (IIA), July 26, 2017
Analytics on offense: How to build a data strategy, MixPanel, April 27, 2017
The Cost of Holding Onto Old Data Tech, PYMNTS, April 13, 2017
Tom Davenport says AI is entering its second stage, Information Week, February 16, 2017
Robots and AI are coming for our jobs. Can Augmentation save us from Automation?, Digital Trends, February 15, 2017
