Always thinking, writing, speaking – and trend setting – Tom perambulates the blogosphere via these outlets.
For his latest and greatest articles follow him on LinkedIn and/or Twitter.

Wall Street Journal: 2016, 20152014, 2013 – Tom’s blogs for Wall Street Journal

Early Adopters Bullish on Business Value of Cognitive – January 23, 2018

How to Outflank the Competition with Analytics – December 14, 2017

DataInformed blog posts

 Other Blogs

Forbes: Farmers Accelerates its Time to Impact with AI – August 1, 2018

Forbes: Chief Data Scientists Have to Pick Their Shots – July 24, 2018

Forbes: Google’s AI Moral Code for Customers and Products — But How About Employees? – June 21, 2018

Forbes: Feeding a Data-Hungry Organizations at Charles Schwab – June 5, 2018

IIA: Will Data Scientist Continue To Be the Sexiest Job?– May 8, 2018

Forbes:Using Social Media Analytics during Disasters: Lessons from the 2015 Chennai Floods – May 3, 2018

Forbes: Even Entrepreneurs Need Analytics – April 18, 2018

Forbes: 84.51° Builds a Machine Learning Machine for Kroger – April 2, 2018

IIA: Do You Need a Ph.D. to Run Analytics or Data Science? – March 22, 2018

Forbes: How ADP Gives Data Value Back to Its Customers – March 12, 2018

Forbes: Shining Up A Rusty Industry with Artificial Intelligence – February 8, 2018

Forbes: Predicting the Future of AI from Bellwether Companies – January 22, 2018

Forbes: Biting the Data Management Bullet at GlaxoSmithKline – January 8, 2018

Forbes: Setting the Table for Data Science and AI at Bank of Montreal – December 8, 2017

Forbes: How Verizon is Building a Big Data and AI Culture – November 16, 2017

CIO: The data scientist in the age of AI and IoT – November 15, 2017

TechRepublic Report: 69% of Executives say AI won’t kill jobs – November 13, 2017

Forbes: Can Process Robots Deliver Digital Transformation? – September 20, 2017

MIT Digital – Are Analytics Truly Self-Service – August 22, 2017

International Institute for Analytics – Are Analytics Truly Self-Service? – July 26, 2017

Forbes – How AI and Machine Learning Are Helping Drive The GE Digital Transformation – June 7, 2017

MixPanel – Analytics on offense: How to build a data strategy – April 27, 2017

The Cost of Holding Onto Old Data Tech – April 13, 2017

Information Week – Tom Davenport says AI is entering its second stage – February 16, 2017

Digital Trends – Robots and AI are coming for our jobs. Can Augmentation save us from Automation? – February 15, 2017

Straight Talk – Artificial Intelligence: How to Work with Very Smart Machines – September 13, 2016

Fast Company – Six Very Clear Signs That Your Job Is Due To Be Automated – August 11, 2016

CFO – Finance Must Ramp up Role as Analytics Leader – August 26, 2016

SAS Blog – 5 Steps to analytic modernization – August 26, 2016

Fortune – How Big Data is Helping the NYPD Solve Crimes Faster – July 17, 2016

Fortune – These Are the 7 Skills You Need to Manage Smart Machines at Work – July 23, 2016

Fortune – What Governments Can Do When Robots Take Our Jobs – May 26, 2016

Quartz – Learn to stop worrying and love the smart machines that you’ll be working alongside in the future – April 21, 2016

Fortune – Who Can Succeed Barack Obama As Digitizer in Chief? – April 1, 2016

Fortune – Why No One Wants to Be Chief Information Office Any More – March 23, 2016


Tom’s work stands at the intersection of research and practice. Many of his over 100 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.

  Deloitte University Press

  Harvard Business Review

  MIT Sloan Management Review

  Articles from Different Sources


  Being an AI Driven Leader – AI at Work, September 2018

 Three ways businesses use artificial intelligence – MIT Sloan Management Review, July 2017

 Smart Machines: Helping Humans or Killing Jobs? – Connected Futures

 Tom Davenport discusses the changing landscape of analytics – SAS

 Tom Davenport mitigating AI’s impact on jobs and business – O’Reilly Radar Podcast

 The Rise of Automation’s Effect on the U.S. Job Market – Bloomberg

 The Future of Human Work – Talent Economy

 Connected Futures Magazine – Smart Machines – Helping Humans or Killing Jobs?

 Curious Minds with Gayle Allen – Tom Davenport On Avoiding Obsolescence in an Automated Age

 4 Era’s of Information – MIT’s Chief Data Officer and Information Quality Symposium

 a16z Podcast – Automation, Jobs, and the Future of Work

  Smart People Podcast – Will Machines Take Your Job?

 BBC World Service Tech Net Podcast – The Cobots are Coming

  Salesforce Dreamforce keynote: Analytics 3.0 and Beyond: From Ad Hoc Insights to Automated Decisions

  Video Interview: “Analytics and Privacy” Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “Why Agile Analytics is just too slow” Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “Fail faster or totally fail” Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “Its all about the Quants”. Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “Smart Companies and Big Data Analytics”. Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “Getting ROI from Big Data Analytics” Dell’s Shawn Rogers #ThinkChat video series.

  Video Interview: “The Analytics of Things vs “The Internet of Things” Dell’s Shawn Rogers #ThinkChat video series.

  Business Analytics – What Every Manager Needs to Know

Operations Research – The Science of Better: Crunching the Numbers