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.
Three ways businesses use artificial intelligence – MIT Sloan Management Review, July 2017
Smart Machines: Helping Humans or Killing Jobs? – Connected Futures
Tom Davenport mitigating AI’s impact on jobs and business – O’Reilly Radar Podcast
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.