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Tom Davenport
Visiting Professor at Saïd Business School, University of Oxford
Cambridge, Massachusetts, United States
Tom Davenport is a world-renowned thought leader and author, is the President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.
An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems.
He's been named:
A "Top Ten Voice in Tech" on LinkedIn in 2018
The #1 voice on LinkedIn among the "Top Ten Voices in Education 2016"
One of the top 50 business school professors in the world in 2012 by Fortune magazine
One of the 100 most influential people in the technology industry in 2007 by Ziff-Davis
The third most important business/technology analyst in the world in 2005 by Optimize magazine
One of the top 25 consultants in the world in 2003
For more information: http://www.tomdavenport.com/
Available For: Authoring, Consulting, Speaking Travels From: Cambridge, Massachusetts, United States
Tom Davenport
Points
Academic
280
Author
1249
Influencer
3142
Speaker
121
Entrepreneur
90
Total
4882
Points based upon Thinkers360 patent-pending algorithm.
The Business Value of MLOps
DataRobot
October 12, 2021
Machine learning has been used by companies for several decades now, but over the last few years it has become a critical business resource for many organisations. The capabilities to train models with data, to generate accurate predictions about important business outcomes, and to analyze both structured and unstructured data have made machine learning the most important component of artificial intelligence.
Case Study: How Aggressively Should a Bank Pursue AI?
HBR
April 19, 2024
Siti Rahman, the CEO of Malaysia-headquartered NVF Bank, hurried through the corridors of the university’s computer engineering department. She had directed her driver to the wrong building—thinking of her usual talent-recruitment appearances in the finance department—and now she was running late. As she approached the room, she could hear her head of AI innovation, Michael Lim, who had joined NVF from Google 18 months earlier, breaking the ice with the students. “You know, NVF used to stand for Never Very Fast,” he said to a few giggles. “But the bank is crawling into the 21st century.”
Is Your Company’s Data Ready for Generative AI?
HBR
March 26, 2024
Many organizations are excited about generative AI, and they are mobilizing to take advantage of it. Boards of directors are having educational workshops and encouraging their companies to act. Senior management teams are thinking about what use cases to develop. Individuals and departments are experimenting with how the technology can increase their productivity and effectiveness.
Survey: GenAI Is Making Companies More Data Oriented
HBR
January 15, 2024
Generative AI was the tech story of 2023. But what — if any — real impact did it have on companies? Despite the hype around this technology, most organizations are still in relatively early phases of figuring out how it can create real value for them. Still, according to new survey results, it seems generative AI might be having a surprising effect on culture. Specifically, respondents reported significant improvements in whether they had established an internal data and analytics culture — a question that has produced stubbornly low numbers in recent years. We believe that experiments with generative AI played a meaningful role in moving those numbers.
Five Key Trends in AI and Data Science for 2024
Sloan Review
January 09, 2024
Artificial intelligence and data science became front-page news in 2023. The rise of generative AI, of course, drove this dramatic surge in visibility. So, what might happen in the field in 2024 that will keep it on the front page? And how will these trends really affect businesses?
AI Ethics at Unilever: From Policy to Process
Import from wordpress feed
December 20, 2023
Share This! Many large companies today — most surveys suggest over 70% globally — have determined that artificial intelligence is important to their […]
The post AI Ethics at Unilever: From Policy to Process appeared first on Tom Davenport.
The Rise of Connector Roles in Data Science
Sloan Review
November 27, 2023
For all of the current focus on using data, analytics, and AI to improve organizational decisions and operations, too many data science projects fail. Even for those that succeed, progress is often slow and expensive. Why? Organizational gaps between teams are wreaking havoc with the ability to develop, apply, and scale data science projects. A new type of role is needed to bridge these gaps.
XREA And Information Services In The AI Age
Forbes
November 07, 2023
During the Information Age, many companies pulled together data from public and private sources and made it available to interested parties. They were called information services, databases, or content providers. Once the data were bought, they needed to be analyzed—by bar charts, correlations, or regression equations—in order to make sense of them. That wasn’t easy and a lot of data went unused in decisions and actions; decision-makers often found easier to just use their intuition
How to Train Generative AI Using Your Company’s Data
Import from wordpress feed
November 02, 2023
Share This! by Tom Davenport and Maryam Alavi Summary. Leveraging a company’s proprietary knowledge is critical to its ability to compete and innovate, especially […]
The post How to Train Generative AI Using Your Company’s Data appeared first on Tom Davenport.
A decade of observing AI and work: What can HR learn?
HRD
October 10, 2023
I’ve been researching the issue of how artificial intelligence will affect work and workers for about a decade. Like anyone who pays attention to this fast-changing technology, I’ve had a few mental pivots over the years. When I began to study AI and work, several books (Rise of the Robots, No Humans Need Apply) made me quite pessimistic about human job prospects in the future.
Transform Business Operations with Process Mining
HBR
October 09, 2023
Process mining has evolved from an academic concept (first published in 2001) to a popular software tool for analyzing, monitoring, and improving process performance. As we have described in a previous article and a book, process mining analyzes logs of enterprise transactional system events to create a detailed picture of the processes, thus providing a digital twin of actual process flows. It is quickly replacing previous observational and subjective approaches to understanding business processes.
Generative AI and other easy-to-use software tools can help employees with no coding background become adept programmers, or what the authors call citizen developers. By simply describing what they want in a prompt, citizen developers can collaborate
Generative AI For Customer Service At Ada And Wealthsimple
Forbes
September 20, 2023
One of the most common and potentially valuable use cases for generative AI is in customer support. Companies have long sought to automate call handling in call centers, but despite many proclamations of technological advances over the years, most of us still desperately press the 0 key or yell “agent” when we find ourselves connected to an automated system. Generative AI is clearly good at conversation, and so it seems a natural technology to apply to customer support functions
Fast, Cheap, And In Control: Generative AI In Morningstar’s Mo
Forbes
June 26, 2023
Morningstar has quickly and inexpensively implemented a generative AI application called Mo that contains much of its knowledge on companies and investments.
How Morgan Stanley Is Training GPT To Help Financial Advisors
Import from wordpress feed
June 02, 2023
Share This! If you were sleeping all last week like Rip Van Winkle or preoccupied about your money in Silicon Valley Bank, you […]
The post How Morgan Stanley Is Training GPT To Help Financial Advisors appeared first on Tom Davenport.
Missing The AI Forest For The Generative AI Tree
Forbes
May 29, 2023
You may have noticed that generative AI is dominating the business press in general, not to mention the AI literature. That’s all anyone seems to want to talk about. Unlike Yann Lecun of Meta, who said in a talk I heard recently at Northeastern University that “autoregressive LLMs [generative AI models] are doomed,” and “autoregressive LLMs suck,” I think that much of the hype is warranted. These systems are clearly quite revolutionary for individuals and organizations whose primary job is generating content. That applies, for example, to lawyers, artists, movie and TV production studios, programmers, musicians, content marketers, and writers
How Northwestern Mutual Embraces AI
Sloan Review
March 29, 2023
At a time when many financial services companies are looking a bit shaky, there’s a lot to be said for stability. Northwestern Mutual, a 166-year-old financial services company based in Milwaukee, Wisconsin, has a purpose-driven mission: to free Americans from financial anxiety. One of us (Tom) was sufficiently attracted to The Quiet Company (as it once advertised itself) as a young professional that he signed up for multiple products over time despite its lack of digital wizardry. However, the organization has been on a journey to be more client-centric and to enhance its overall customer experience. To that end, Northwestern Mutual has focused on artificial intelligence and data science.
How Morgan Stanley Is Training GPT To Help Financial Advisors
Forbes
March 20, 2023
Morgan Stanley has been working with OpenAI to determine how generative AI systems can help with wealth management questions from its financial advisors.
How AI Is Helping Companies Redesign Processes
HBR
March 02, 2023
In the 1990s, business process reengineering was all the rage: Companies used budding technologies such as enterprise resource planning (ERP) systems and the internet to enact radical changes to broad, end-to-end business processes. Buoyed by reengineering’s academic and consulting proponents, companies anticipated transformative changes to broad processes like order-to-cash and conception to commercialization of new products.
8 Strategies for Chief Data Officers to Create — and Demonstrate — Value
Import from wordpress feed
February 27, 2023
Share This! by: Thomas H. Davenport, Richard Y. Wang and Priyanka Tiwari The chief data officer (CDO) role was only established in 2002, […]
The post 8 Strategies for Chief Data Officers to Create — and Demonstrate — Value appeared first on Tom Davenport.
8 Strategies for Chief Data Officers to Create — and Demonstrate — Value
HBR
January 31, 2023
The chief data officer (CDO) role was only established in 2002, but it has grown enormously since then. In one recent survey of large companies, 83% reported having a CDO. This isn’t surprising: Data and approaches to understanding it (analytics and AI) are incredibly important in contemporary organizations. What is eyebrow-raising, however, is that the CDO job is terribly ill-defined. Sixty-two percent of CDOs surveyed in the research we describe below reported that the CDO role is poorly understood, and incumbents of the job have often met with diffuse expectations and short tenures. There is a clear need for CDOs to focus on adding visible value to their organizations.
If you ask someone to name a company that’s putting artificial intelligence at the center of its business, you’ll probably hear a predictable list of technology powerhouses: Alphabet (Google), Meta (Facebook), Amazon, Microsoft, Tencent, and Alibaba. But at legacy organizations in other industries many leaders feel that it’s beyond the capabilities of their companies to transform themselves using AI. Because this technology is relatively new, however, no company was powered by AI a decade ago, so all those that have been successful had to accomplish the same fundamental tasks: They put people in charge of creating the AI; they rounded up the required data, talent, and monetary investments; and they moved as aggressively as possible to build capabilities.
Why Your Company Needs Data-Product Managers
Import from wordpress feed
November 20, 2022
Share This! Summary. As companies have struggled to make use of datasets and AI, many have started to create data products — reusable […]
The post Why Your Company Needs Data-Product Managers appeared first on Tom Davenport.
Transforming The Internet With Project Liberty
Forbes
November 18, 2022
Like almost all the reflective tech watchers I know, I am worried about what social media is doing to our society. Algorithm-driven polarization, misinformation, hate speech, etc.—all have been exacerbated by our existing social media landscape. So I am of course interested in any attempts to address these issues.
All-in On AI: How Smart Companies Win Big with Artificial Intelligence
Harvard Business Review Press
January 24, 2023
Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its most extreme—from established companies like Anthem, Ping An, Airbus, and Capital One. The book also features lessons from startups and tech firms, but the focus is on how existing firms can transform themselves.
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) Hardcover – September 27, 2022
The MIT Press
September 08, 2022
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge)
The MIT Press
October 16, 2018
In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM’s Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don’t go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient.
Competing on Analytics: The New Science of Winning; With a New Introduction (Updated, with a New Introduction: The New Science of Winning)
Harvard Business Review Press
September 01, 2017
This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition. Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.
Tags: Analytics, Digital Transformation, Leadership
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines
Harper Business
May 24, 2016
An invigorating, thought-provoking, and positive look at the rise of automation that explores how professionals across industries can find sustainable careers in the near future.
Nearly half of all working Americans could risk losing their jobs because of technology. It’s not only blue-collar jobs at stake. Millions of educated knowledge workers—writers, paralegals, assistants, medical technicians—are threatened by accelerating advances in artificial intelligence.
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities Illustrated Edición
Harvard Business Review Press
February 25, 2014
When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
Harvard Business Review Press
June 11, 2013
Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data.
Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right
Harvard Business Review Press
April 03, 2012
Despite the dizzying amount of data at our disposal today—and an increasing reliance on analytics to make the majority of our decisions—many of our most critical choices still come down to human judgment. This fact is fundamental to organizations whose leaders must often make crucial decisions: to do this they need the best available insights.
Analytics at Work Smarter Decisions. Better Results.
Harvard Business Review Press
February 08, 2010
One of the top fifteen must reads for 2010! – CIO Insight
A “how-to” guide for developing an analytical capability in your company, and putting it to work. As a follow-up to the bestseller Competing on Analytics, Tom Davenport and his co-authors provide practical frameworks and tools for all organizations wanting to become more analytical and to make better data-based decisions.
Competing on Analytics: The New Science of Winning
Harvard Business Review Press
March 06, 2007
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.
In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.
Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Thinking for a Living: How to Get Better Performances And Results from Knowledge Workers
Harvard Business Review Press
September 13, 2005
Knowledge workers create the innovations and strategies that keep their firms competitive and the economy healthy. Yet, companies continue to manage this new breed of employee with techniques designed for the Industrial Age. As this critical sector of the workforce continues to increase in size and importance, that's a mistake that could cost companies their future. Thomas Davenport argues that knowledge workers are vastly different from other types of workers in their motivations, attitudes, and need for autonomy--and, so, they require different management techniques to improve their performance and productivity.
Based on extensive research involving over 100 companies and more than 600 knowledge workers, Thinking for a Living provides rich insights into how knowledge workers think, how they accomplish tasks, and what motivates them to excel. Davenport identifies four major categories of knowledge workers and presents a unique framework for matching specific types of workers with the management strategies that yield the greatest performance.
Written by the field's premier thought leader, Thinking for a Living reveals how to maximize the brain power that fuels organizational success. Thomas Davenport holds the President's Chair in Information Technology and Management at Babson College. He is director of research for Babson Executive Education; an Accenture Fellow; and author, co-author, or editor of nine books, including Working Knowledge: How Organizations Manage What They Know (HBS Press, 1997).
What's the Big Idea? Creating and Capitalizing on the Best New Management Thinking
Harvard Business Review Press
April 01, 2003
The secrets of successful idea practitioners change management. Reengineering. Knowledge management. Major new management ideas are thrown at today's companies with increasing frequency - and each comes with evangelizing gurus and eager-to-assist implementation consultants. Only a handful of these ideas will be a good fit for your organization. Choose the right idea at the right time and your company can become more efficient, more effective, and more innovative. Choose the wrong one - or jump on the right bandwagon too late - and your company could fall hopelessly behind. Thomas H. Davenport and Laurence Prusak say that some managers have found ways to improve their odds of success in the risky but essential game of idea management. In "What's the Big Idea?, they introduce a largely unsung class of managers they call - idea practitioners - individuals who do the real work of importing and implementing new ideas into businesses. While gurus reap most of the credit when big ideas take flight, Davenport and Prusak's research reveals that idea practitioners actually play the most important role: they turn the right ideas into action. Drawing from decades of consulting, academic, and business experience and from their novel study of more than 100 of these critical change leaders, "What's the Big Idea?" offers tools and frameworks for: assessing the merits of the top business gurus; scanning and tracking emerging ideas in the marketplace; distinguishing promising ideas from rhetoric; refining ideas to suit your organization's particular needs; packaging and selling the idea internally; and ensuring successful implementation. Davenport and Prusak prove that there are no faddish management ideas - only faddish ways of adopting them. Encouraging managers to embrace the power of ideas while avoiding the hype that often accompanies them, this pragmatic guide shows how passion and reason combine to build innovative companies.
The Attention Economy: Understanding the New Currency of Business
Harvard Business Review Press
September 01, 2002
In today's information-flooded world, the scarcest resource is not ideas or even talent: it's attention. In this groundbreaking book, Thomas Davenport and John Beck argue that unless companies learn to effectively capture, manage, and keep it--both internally and out in the marketplace--they'll fall hopelessly behind.
In The Attention Economy, the authors also outline four perspectives on managing attention in all areas of business:
1) measuring attention
2) understanding the psychobiology of attention
3) using attention technologies to structure and protect attention
4) adapting lessons from traditional attention industries like advertising
Drawing from exclusive global research, the authors show how a few pioneering organizations are turning attention management into a potent competitive advantage and recommend what attention-deprived companies should do to avoid losing employees, customers, and market share. A landmark work on the twenty-first century's new critical competency, this book is for every manager who wants to learn how to earn and spend the new currency of business.
Tags: Customer Experience, Management, Future of Work
Knowledge Management Case Book: Siemens Best Practises
Publicis
June 10, 2002
This book provides a perspective on knowledge management at Siemens - an internationally recognised benchmark - by presenting the reader with the best of the corporation's practical applications and experiences. Tom Davenport and Gilbert Probst bring together instructive case studies from different areas that reflect the rich insights gained from years of experience in practising knowledge management.
Most of the cases have been updated for the second edition. New cases have been added.
The Knowledge Management Case Book provides a comprehensive account of how organisational knowledge assets can be managed effectively. Specific emphasis is given to the development of generic lessons that can be learned from Siemens' experience. The book also offers a roadmap to building a "mature knowledge enterprise", thereby enhancing our understanding of the steps that need to be taken in order to sustain competitive dominance in the knowledge economy.
Presenting applications from very different areas, this practice-orientated book is really outstanding in the broad field of KM literature.
Working Knowledge
Harvard Business Review Press
May 01, 2000
This influential book establishes the enduring vocabulary and concepts in the burgeoning field of knowledge management. It serves as the hands-on resource of choice for companies that recognize knowledge as the only sustainable source of competitive advantage going forward.
Drawing from their work with more than thirty knowledge-rich firms, Davenport and Prusak--experienced consultants with a track record of success--examine how all types of companies can effectively understand, analyze, measure, and manage their intellectual assets, turning corporate wisdom into market value. They categorize knowledge work into four sequential activities--accessing, generating, embedding, and transferring--and look at the key skills, techniques, and processes of each. While they present a practical approach to cataloging and storing knowledge so that employees can easily leverage it throughout the firm, the authors caution readers on the limits of communications and information technology in managing intellectual capital.
Mission Critical: Realizing the Promise of Enterprise Systems
Harvard Business Review Press
February 01, 2000
This is a no-nonsense guide to the benefits and pitfalls of enterprise-wide information systems. How many organizations would doubt the promise of an integrated enterprise system (ES)? Not many, judging by a $15 billion industry. The combination of an ES as a platform for organizational information and Internet technology for gaining access to it adds up to the ideal solution for company-wide data sharing in real time. Not surprisingly, small and large companies worldwide are either considering an ES, in the process of implementing one, or living with the results. Yet, says Tom Davenport, unless managers view ES adoption and implementation as a business decision rather than a technology decision, they may be risking disappointment Mission Critical presents an authoritative and no-nonsense view of the ES opportunities and challenges. Suggesting ESs are not the right choice for every company, the author provides a set of guidelines to help managers evaluate the benefits and risks for their organizations. To be successful, argues Davenport, an organization must make simultaneous changes in its information systems, its business processes, and its business strategy. Such changes are described in detail with extensive examples from real organizations. Bolstering his contention that ESs should be viewed as business vs. technology projects, Davenport spells out the specific business change objectives that should be formulated in advance of ES adoption and monitored throughout its implementation. The first strategic guide to the ES decision, Mission Critical will be indispensable to general managers and information technology specialists at all stages of the implementation process.
Tags: Emerging Technology, Management, Business Strategy
Mastering Information Management
FTM
January 01, 2000
Davenport and Marchand edited this book of short pieces by many leading authorities on information management. Part of the Financial Times’ “Mastering” series, it contains highly readable and usable lessons on this most important topic.
Tags: Emerging Technology, Management, Business Strategy
Information Ecology: Mastering the Information and Knowledge Environment
Oxford University Press
June 26, 1997
According to virtually every business writer, we are in the midst of a new "information age," one that will revolutionize how workers work, how companies compete, perhaps even how thinkers think. And it is certainly true that Information Technology has become a giant industry. In America, more
that 50% of all capital spending goes into IT, accounting for more than a third of the growth of the entire American economy in the last four years. Over the last decade, IT spending in the U.S. is estimated at 3 trillion dollars. And yet, by almost all accounts, IT hasn't worked all that well. Why
is it that so many of the companies that have invested in these costly new technologies never saw the returns they had hoped for? And why do workers, even CEOs, find it so hard to adjust to new IT systems?
In Information Ecology, Thomas Davenport proposes a revolutionary new way to look at information management, one that takes into account the total information environment within an organization. Arguing that the information that comes from computer systems may be considerably less valuable to
managers than information that flows in from a variety of other sources, the author describes an approach that encompasses the company's entire information environment, the management of which he calls information ecology. Only when organizations are able to combine and integrate these diverse
sources of information, and to take them to a higher level where information becomes knowledge, will they realize the full power of their information ecology. Thus, the author puts people, not technology, at the center of the information world. Information and knowledge are human creations, he
points out, and we will never excel at managing them until we give people a primary role. Citing examples drawn from his own extensive research and consulting including such major firms as A.T. & T., American Express, Ford, General Electric, Hallmark, Hoffman La Roche, IBM, Polaroid, Pacific Bell,
and Toshiba Davenport illuminates the critical components of information ecology, and at every step along the way, he provides a quick assessment survey for managers to see how their organization measures up. He discusses the importance of developing an overall strategy for information use; explores
the infighting, jealousy over resources, and political battles that can frustrate information sharing; underscores the importance of looking at how people really use information (how they search for it, modify it, share it, hoard it, and even ignore it) and the kinds of information they want;
describes the ideal information staff, who not only store and retrive information, but also prune, provide context, enhance style, and choose the right presentation medium (in an age of work overload, vital information must be presented compellingly so the appropriate people recognize and use it);
examines how information management should be done on a day to day basis; and presents several alternatives to the machine engineering approach to structuring and modeling information. Davenport makes explicit what many managers already know in their gut: that useful information flow depends
on people, not equipment. In Information Ecology he paves the way for all managers to build a more competitive, creative, practical information environment for their companies.
Process Innovation: Reengineering Work Through Information Technology
Harvard Business Review Press
October 01, 1992
The business environment of the 1990s demands significant changes in the way we do business. Simply formulating strategy is no longer sufficient; we must also design the processes to implement it effectively. The key to change is process innovation, a revolutionary new approach that fuses information technology and human resource management to improve business performance. The cornerstone to process innovation's dramatic results is information technology--a largely untapped resource, but a crucial "enabler" of process innovation. In turn, only a challenge like process innovation affords maximum use of information technology's potential. Davenport provides numerous examples of firms that have succeeded or failed in combining business change and technology initiatives. He also highlights the roles of new organizational structures and human resource programs in developing process innovation. Process innovation is quickly becoming the byword for industries ready to pull their companies out of modest growth patterns and compete effectively in the world marketplace.
Global Leader
Analytics Hall of Fame
March 22, 2019
Practitioner/Executive
This leader has transformed the practice of analytics or another Analytics Hall of Fame discipline by founding, or transforming, a successful global company or large division within a global company. This leader’s reputation and ideas are known globally.
Academic Achievement
This leader is a recognized authority in an Analytics Hall of Fame discipline as evidenced by one or more of the following:
- Serves as a distinguished professor at a college or university
- Achieved a Ph.D. in an Analytics Hall of Fame discipline or related area
- Authored books that have impacted the field
- Published at least twelve (12) journal articles and is a heavily cited authority
- Received at least one (1) honorary doctoral degree
Tags: Management, Future of Work, Business Strategy
9 Keynotes
The AI Advantage How to Put the AI Revolution to Work
YouTube
December 10, 2018
Everywhere you look, people are talking about the revolutionary power of AI to transform their industry. But that begs the question - how do you put the AI revolution to work? Join this session with analytics guru and "The AI Advantage" author Tom Davenport to learn how you can get ahead with AI today.
The Cognitive Company: Incremental Present, Transformational Future
YouTube
June 13, 2017
Cognitive technologies undoubtedly have the potential to transform knowledge-based work. However, in the present, highly ambitious cognitive projects have encountered obstacles and delays, even when substantial resources have been committed to them. It’s important, then, for organizations to proceed incrementally toward the dramatic changes that cognitive technologies and capabilities will eventually enable. Based on a review of over 100 organizations’ attempts to implement some form of cognitive technology, this TED-type talk will describe major areas of cognitive activity likely to be transformed and prescribe steps that most organizations should take today to becoming a “cognitive company.”
Prof. Tom Davenport (@tdav), Distinguished Professor at Babson College, Fellow at MIT Initiative on the Digital Economy
Analytics 3.0 And Beyond: From Ad Hoc Insights To Automated Decisions
Salesforce
May 01, 2014
Many companies are excited about the possibility of competitive advantage from analytics on big data, but many don’t understand how to take full advantage of this resource, or how to integrate it with their existing analytical activities. In this session, Tom Davenport will describe what organizations are attempting to accomplish with big data analytics, and how companies can assemble the necessary capabilities and blend them with those for traditional analytics. Several leading examples of companies—large firms and startup—that are aggressively integrating big and small data will be presented. Professor Davenport will also describe a framework he has developed called “Analytics 3.0,” which involves analytics at speed and scale for the data economy. Finally, he’ll provide a peek into the likely attributes of Analytics 4.0, which will involve automated, interconnected decision-making in many different business domains.
Analytics 3.0: Big Data and Small Data in Big and Small Companies
YouTube
September 18, 2013
UC Berkeley School of Education Dean's Lecture
Speaker: Thomas H. Davenport
Wednesday, September 18, 2013
Many companies and observers are excited about the possibility of competitive advantage from analytics on "big data," but many don't understand the differences between big and small data analytics. There are also substantial differences in how large, established organizations and startups approach big data. In this presentation, Tom Davenport will describe what organizations are attempting to accomplish with big data. Several leading examples of companies—large firms and startup—that are aggressively pursuing big data will be presented. Davenport will then describe how big data differs from previous approaches to analytics and data management on small data. Finally, he'll address some of the key factors that big and small data analytics have in common, and will describe his ideas on their integration using the "Analytics 3.0" framework he has developed.
Successful Business Analytics by Tom Davenport - Part II
YouTube
May 22, 2012
http://online-behavior presents Part II of Successful Business Analytics , Thomas Davenport discusses the importance of relationships for Analytics: Analytics people have to work with a whole variety of organizations.
Tom also addresses the organizational culture and business leadership required to make the most of the science of analysis, and shares stories of people who have made this transition and the resulting competitive edge their organizations exploit.
Watch Successful Business Analytics Part I
Watch an interview with Tom Davenport http://www.youtube.com/watch?v=CStxyj...
Successful Business Analytics by Tom Davenport Part I
YouTube
May 16, 2012
http://online-behavior.com presents Thomas Davenport from the eMetrics Marketing Optimization Summit San Francisco 2011.
Tom Davenport starts by discussing the different type of people involved in this process: Web Analysts, Business Intelligence, Conversion Optimizers, HR Analysts, and others. He also provides examples on which companies and professions are embracing analytics.
Following, we learn about a research he made where company executives were interviewed on how they make decisions and how they improve decision-making on their companies. From the techniques described, the ones that seem to stand out are the use Analytics for planning and learning from error.
Why AI 'regulation in the United States is a lost cause'
Finance
January 23, 2024
Tom Davenport, Babson College President’s Distinguished Professor of Information Technology and Management, joins the Live show for Yahoo Finance AI Revolution, to discuss adoption of AI and AI regulation across the globe.
Five Minutes With Author Tom Davenport
Boomi
September 25, 2023
For many of us, the Artificial Intelligence (AI) revolution exploded onto the scene in November 2022 with the arrival of ChatGPT. But not for Tom Davenport. He has been thinking about the potential of AI for decades.
DisrupTV Episode 317, Behshad Behzadi, Tom Davenport, AI Nitin Mittal, Andy Thurai
YouTube
April 07, 2023
This week on DisrupTV, we interviewed Behshad Behzadi, Vice President of Engineering, Conversational AI, Google Cloud, Tom Davenport and AI Nitin Mittal, Authors of All-in on AI: How Smart Companies Win Big with Artificial Intelligence and Andy Thurai, Vice President & Principal Analyst at Constellation Research.
#23 – Donald Farmer, Wayne Eckerson, and Tom Davenport on Data and Analytics Trends to Watch in 2021
YouTube
April 13, 2021
This week we have a very special episode featuring insights from three data and analytics leaders on what to expect in 2021. You’ll hear from:
Donald Farmer, a principal at TreeHive Strategy
AI in the Enterprise: Management and Business Review
MBR
October 01, 2020
Artificial intelligence is the most important new technology of the age, but it comes in many varieties, and businesses face a range of challenges in effectively deploying it throughout their organizations. Tom Davenport takes a pragmatic but positive approach to AI’s longterm potential, describing effective approaches
to creating and implementing a strategy for this transformative technology.
Tom Davenport: AI & New Emerging Business Models | Future of Work Pioneers Podcast #10
YouTube
July 28, 2020
This conversation is part of the Future of Work Pioneers Podcast. Welcome to the Future of Work Pioneers podcast. Today, we are speaking with Tom Davenport, 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 in executive programs at Babson, Harvard Business School Harvard School of Public Health, and MIT Sloan School.
Tom pioneered the concept of competing on analytics in 2007. Having authored some 20 books and 200 articles, his most recent book is The AI Advantage: How to Put the Artificial Intelligence Revolution to Work.
ROI in AI: Achieving Value and Maximizing Return
HARVARD ALUMNI ENTREPRENEURS INVITES
July 13, 2020
There’s no question that artificial intelligence has been a key driver of innovation over the past decade, garnering the interest – and dollars- of business the world over. To date, however, a majority of businesses claim limited success from the implementation of AI. With a recessionary economic context before us, more companies will seek clearer returns for those investments. Tom discusses how he sees this next phase evolving for AI and discusses what is holding it back from delivering stronger gains for firms.
The Future of Artificial Intelligence - with Professor Tom Davenport
YouTube
June 17, 2020
In this live stream, I will be joined by Thomas H. Davenport, who is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He is also the author of 20 books and many articles in Harvard Business Review and Sloan Management Review.
We will be taking a look at the future of AI, the impact of the global pandemic, as well as the key tips to deliver successful AI projects in the future
026 – Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation
Designing for Analytics
November 19, 2019
Tom Davenport has literally written the book on analytics. Actually, several of them, to be precise. Over the course of his career, Tom has established himself as the authority on analytics and how their role in the modern organization has evolved in recent years. Tom is a distinguished professor at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior advisor at Deloitte Analytics. The discussion was timely as Tom had just written an article about a financial services company that had trained its employees on human-centered design so that they could ensure any use of AI would be customer-driven and valuable.
AI & the Future of Work
Interactions
November 05, 2019
In this episode of The ConversAItion, Jim speaks with a renowned expert on digital business, Tom Davenport, about everything from the fears of job displacement to employability in an AI-driven world. A prolific author, senior advisor to Deloitte Analytics and the President's Distinguished Professor of Information Technology and Management at Babson College.
The Artificial Intelligence Revolution (w/ Tom Davenport)
Demystifying Organizations
August 08, 2019
Tom Davenport is a professor of information technology and management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books including The AI Advantage and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D. from Harvard University and has taught at the Harvard Business School and the University of Chicago.
Putting the artificial intelligence revolution to work
Latentview
January 16, 2019
The first author we had the pleasure to speak with in the #HighOnData series is Tom Davenport, a widely known and accomplished professional in the analytics field. Davenport is the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics, as well as a visiting professor at Harvard and MIT. Tom shared some of his thoughts behind his recent work The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, discussing how companies can use artificial intelligence in a practical manner to advance their business and gain a competitive advantage.
Putting Artificial Intelligence to Work
Recorded Future
January 07, 2019
Our guest this week is Thomas H. Davenport. He’s a world-renowned thought leader and author, and is the president’s distinguished professor of information technology and management at Babson College, a fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.
Tom Davenport is author and co-author of 15 books and more than 100 articles. He helps organizations to revitalize their management practices in areas such as analytics, information and knowledge management, process management, and enterprise systems. His most recent book is “The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge).”
Tom Davenport - The AI Advantage
YouTube
November 26, 2018
Humans of Data Science (HoDS) project - showing the human-side of data science!
Watch the video to learn more about Tom’s most recent book “The AI Advantage”. Tom is a world-renowned thought leader and author (with over 20+ books and 100+ articles published). He helps organizations to revitalize their management practices in areas such as analytics, information and knowledge management, process management, and enterprise systems.
Link to the AI Advantage: https://mitpress.mit.edu/books/ai-adv...
Episode 12: Being an AI-Driven Leader
AI at Work
September 06, 2018
Hosts Rob May and Brooke Torres interview Tom Davenport, President’s Distinguished Professor of Information Technology and Management at Babson Collegea, Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics. Tune in to learn what it means to be an AI-driven leader.
Cómo las pymes pueden sacar partido al 'big data' | Tom Davenport
YouTube
August 17, 2017
Nos pide que le llamemos simplemente Tom con la misma llaneza que explica su punto de vista cercano y accesible sobre el temido 'big data'. Es un término que no le gusta "porque solo indica que hay una gran cantidad de datos", y él prefiere centrarse en cómo sacar partido a esa montaña de información que recoge, voluntaria e involuntariamente, todo tipo de empresas.
De hecho, su afán principal en esta entrevista (y, en general, en sus conferencias divulgativas) es dar a conocer que el tamaño de las empresas ya no es una barrera para acceder a las ventajas del 'big data'. Davenport invita a los empresarios de pymes y autónomos a comprobar lo barato que es ya contratar "un pequeño paquete de potencia de cálculo en la nube" para recopilar y tratar los datos que se recogen, por ejemplo, en las webs de estas empresas. Del mismo modo que es muy accesible el hacer un análisis profundo de esos datos y que nos ayude a tomar decisiones.
Tom Davenport on mitigating AI’s impact on jobs and business
O'Reilly Radar
February 09, 2017
This week, I sit down with Tom Davenport. Davenport is a professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a fellow at the MIT Center for Digital Business, and a senior advisor for Deloitte Analytics. He also pioneered the concept of “competing on analytics.” We talk about how his ideas have evolved since writing the seminal work on that topic, Competing on Analytics: The New Science of Winning; his new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, which looks at how AI is impacting businesses; and we talk more broadly about how AI is impacting society and what we need to do to keep ourselves on a utopian path.
The Rise of Automation’s Effect on the U.S. Job Market
Bloomberg
December 02, 2016
Martin Ford, author of “The Rise of the Robots,” and Tom Davenport, author of “Only Humans Need Apply,” discuss the increase of machines in the workplace and its impact on jobs in the United States. They speak with Bloomberg's Emily Chang on "Bloomberg Technology." (Source: Bloomberg)
Tom Davenport On Avoiding Obsolescence in an Automated Age
Curious Minds
September 05, 2016
Smart machines are coming, so what are we doing about it?
Instead of cowering in fear, what if we took a proactive approach? What if there were a playbook we could use to anticipate and thrive in an increasingly automated world?
In his book, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, Thomas Davenport, offers ways to accomplish that goal. His book is a guide for employees and students who want to know what they can do to work successfully with smart machines.
How collaborative robots (or "Cobots") might soon be your workmates. We visit the Innorobo exhibition in Paris to see the latest models. And Tom Davenport, co-author of new book "Only Humans Need Apply" on how jobs will change in a robotic future. Plus, Twitter CEO Jack Dorsey on how he plans to make his company regain its popularity.
Will Machines Take Your Job?
Smart People Podcast
May 17, 2016
This week we speak with Tom Davenport as we discuss these issues and his new book, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. You will hear how Tom actually reframes the conversation about automation, arguing that the future of increased productivity and business success isn’t either human or machine. It’s both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. The choice is ours.
a16z Podcast: Automation, Jobs, & the Future of Work (and Income)
a16z Podcast
May 03, 2016
There's no question automation is taking over more and more aspects of work and some jobs altogether. But we're now entering a "third era" of automation, one which went from taking over dangerous work to dull work and now decision-making work, too.
So what will it take to deal with a world -- and a workplace -- where machines could be thought of as colleagues? The key lies in distinguishing between automation vs. augmentation, argue the guests on this episode of the a16z Podcast, IT management professor Thomas Davenport and Harvard Business editor Julia Kirby, who authored the new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.
But the argument isn't as simple as saying humans will just do the creative, emotionally intelligent work and that machines will do the rest. The future of work is complex and closely tied to the need for structure, identity, and meaning. Which is also why linking the discussion of things like "universal basic income" to the topic of automation isn't just unnecessary, but depressing and even damaging (or so argue the guests on this episode).
How to Integrate AI into your Organization
Business Digest
January 01, 2019
No, artificial intelligence is not going to work miracles (it won’t find the cure for
cancer, rationalize stock market speculation or make car accidents go away).
However, it might allow you to optimize your processes, better understand
your clients, improve your products, and expand your skills. Here are a few
suggestions for how to concretely utilize the potential of AI.
Based on The AI Advantage by Thomas H.Davenport
(The MIT Press, 2018)
How to unleash data science to become a model-driven business
Domino Data Lab
August 11, 2021
Hosted by Domino Data Lab and distinguished speaker, author, and advisor, Tom Davenport - one of Harvard Business Review’s most frequently published authors - this live panel discussion will explore why many of the world’s most sophisticated companies struggle to deliver data science at scale.
Join us to hear first-hand from experts studying the challenges impacting the best efforts to become model-driven, leaders at enterprises successfully overcoming them with enterprise MLOps, and learn proven methods to put models at the heart of your business.
Tom Davenport, Babson College | MIT CDOIQ 2019
YouTube
July 31, 2019
Tom Davenport joins theCUBE hosts Dave Vellante (@dvellante) and Paul Gillin (@pgillin) live from MIT CDOIQ 2019
Are humans and machines on a collision course? A futurist examines our uneasy dance with automation
The next time a McDonald’s Corp. customer is asked if they want fries with their order, the questioner may not be a real person.
The fast-food giant has been testing voice-recognition software at one of its locations in Chicago. And those fries may soon be robot-cooked as well. McDonald’s is piloting the use of robots to toss menu items into deep fat fryers and serve them up.
Tom Davenport, Babson College | MIT CDOIQ 2016
YouTube
July 14, 2016
01. Tom Davenport, Babson College, visits #theCUBE!. (00:16)
02. Replacing the Term "Analytics" with "Information". (00:50)
03. The Exciting World of Data Variance. (02:42)
2014 Big Data, Analytics, and Insights
YouTube
June 05, 2014
Big Data, Analytics, and Insights
Prof. Tom Davenport, MIT Center for Digital Business moderator
Barry Morris, NuoDB
Darrell Fernandes, Fidelity Investments
Don Taylor, Benefitfocus
Puneet Batra, LevelTrigger
Many organizations are excited about the possibility of developing a competitive advantage from the use of advanced analytics on "big data". In this session a panel of experts who will address their concept of big data and what their organizations are attempting to accomplish with it. They will also discuss the role of the data scientist in extracting value from that big data using advanced analytics tools and techniques. Examples will be presented from firms that are aggressively pursuing big data initiatives for predicting or optimizing future outcomes. The panelists will describe how using big data sets for analytics and data management differs from previous approaches utilizing small data sets. Finally, the panel will address key factors that big and small data analytics have in common.
DSU - Utilizing Data and Generative AI for Driving Business Values with Tom Davenport
YouTube
December 18, 2023
In this episode of Data Strategy Unravelled Khendr'a Reid, Principal Data Strategy Tech Specialist at AWS, meets with Tom Davenport, Distinguished Professor at Babson College, to discuss his thoughts on the results from recent CDOIQ report completed in partnership with AWS on "Navigating Data and Generative AI Frontiers".
The Business Value of Digital Workflows | Workflow Quarterly
YouTube
March 29, 2019
New data reported by IT expert Tom Davenport reveals how changing the employee, client and IT experience with technology makes work better. Learn more in The Business Value Issue of Workflow Quarterly: https://workflow.servicenow.com/Quart...
QUT Real World Futures | Disruptive Influences Conference: Professor Tom Davenport
YouTube
November 04, 2016
Learn more about QUT's Real World Futures program: http://bit.ly/2agCrAT
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He co-authored Only Humans Need Apply, Winners and Losers in the Age of Smart Machines.
10 Observations on Big Data in Late 2015 - Tom Davenport
YouTube
November 18, 2015
Business analytics has become an invaluable tool in every industry. This issue of Babson Insight looks at the evolving uses of big data in the business world along with how your organization can learn to make the most out of big data.
http://www.babson.edu/executive-educa...
Teradata's Bill Franks & Babson College's Thomas H. Davenport: Becoming Data Driven
YouTube
August 06, 2015
Becoming Data-Driven 101: Planning for Success:
In an era where the term Big Data has become ubiquitous, and many organizations are still struggling to ensure they have the right strategy in place, a few have managed to transform their business by simply making data and analytics strategic assets.
Attend this session to hear from Thomas Davenport, President’s Distinguished Professor in Management and Information Technology at Babson College and Bill Franks, Chief Analytics Officer for Teradata as they discuss the meaning of “being data driven”, the benefits of becoming a data-driven business and the planning for success in this ever-changing data driven business environment.
Tom Davenport | HP Big Data Conference 2014
YouTube
August 13, 2014
Tom Davenport, Author and Big Data Visionary, at HP Big Data Conference 2014 with John Furrier and Dave Vellante
With a background in sociology, Tom Davenport, a Distinguished Professor in Management and Information Technology at Babson College and author of 19 books on management practices and analytics, thinks about technology in terms of what it means for humans. At the Hewlett-Packard (HP) Vertica Big Data Conference this week, he joined theCUBE’s John Furrier and Dave Vellante and talked about Big Data and social behavior. He offered some interesting examples and insights as to how Big Data affects social behaviors today, and how analytics could be used in the future.
Fuel and navigate organizational change
Red Hat
October 12, 2021
A thought-provoking conversation with Tom Davenport on how to fuel and navigate organizational change
Integrating digital technology into all areas of a business is an ongoing process of changing the way you do business. It requires foundational investments in skills, projects, infrastructure, and often, new or rebuilt IT systems.
Overcoming cultural challenges was important to IT leaders prior to 2021, but in the wake of global disruption, organizations are now forced to rethink their traditional strategies in order to adapt and survive.
An open approach to leadership means building an organization that can thrive, even during the most turbulent times. Leaders must weave values, principles, and norms into the fabric of their organizations to ensure people remain aligned, unified, engaged, and empowered. But with the future rapidly changing, how are IT executives supposed to plan for the unknown?
Join Tom Davenport, world-renowned thought leader and author at the forefront of digital innovation, to discuss his perspectives and best practices on how to build a culture that can be a powerful force for innovation. Speaking alongside Tom is Michael Walker, Red Hat’s Global Head of Open Innovation Labs and Transformation Services.
Tags: Digital Transformation, Innovation, Leadership
How to Lead a Data-Driven Culture
HBR
June 24, 2020
Businesses say they want to make more effective use of data, analytics, and AI, but many are not making progress. A survey of U.S. executives found that 63% do not believe their companies are analytics driven. Other research found that in 2019 only 31% of large U.S. firms said they were data-driven compared to 37% in 2017; some companies are clearly regressing.
At a time when making analytical decisions is so important, why are companies struggling?
Join Tom Davenport — one of the world’s foremost experts on analytics — for an interactive HBR webinar on how senior executives can create a data-driven culture in their organizations.
The Data & Analytics Essentials Sprint
Section4
February 08, 2022
Principles of Data and Analytics
Professor Tom Davenport and PayPal’s Head of Global Analytics Jon Francis teach you the essentials of turning data into useful, actionable insights for your team and organization.
February 21 - March 8, 2022
2-week sprint plus Section4 Membership — $995
KDD 2020 - Tom Davenport - Beyond Data Science Unicorns
YouTube
September 16, 2020
Tom Davenport's speech titled "Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists?" at KDD 2020 Conference. This speech was part of the IADSS' 2nd Workshop on Data Science Standards – What do you need to know as a Data Scientist? Training Data Scientists of the Future.
Join Thinkers360 for free! Are you a Reader/Writer, Thought Leader/Influencer (looking to increase your earnings), or an Enterprise User (looking to work with experts)?
The Business Value of MLOps
Case Study: How Aggressively Should a Bank Pursue AI?
Is Your Company’s Data Ready for Generative AI?
Survey: GenAI Is Making Companies More Data Oriented
Five Key Trends in AI and Data Science for 2024
The Rise of Connector Roles in Data Science
XREA And Information Services In The AI Age
A decade of observing AI and work: What can HR learn?
Transform Business Operations with Process Mining
Are Boards Kidding Themselves About Generative AI?
We’re All Programmers Now
Generative AI For Customer Service At Ada And Wealthsimple
Fast, Cheap, And In Control: Generative AI In Morningstar’s Mo
Wolters Kluwer At 187: How An Information Company Adapts To AI
Missing The AI Forest For The Generative AI Tree
How Northwestern Mutual Embraces AI
How Morgan Stanley Is Training GPT To Help Financial Advisors
How AI Is Helping Companies Redesign Processes
8 Strategies for Chief Data Officers to Create — and Demonstrate — Value
Stop Tinkering with AI
Transforming The Internet With Project Liberty
All-in On AI: How Smart Companies Win Big with Artificial Intelligence
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) Hardcover – September 27, 2022
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge)
Competing on Analytics: The New Science of Winning; With a New Introduction (Updated, with a New Introduction: The New Science of Winning)
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities Illustrated Edición
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right
Analytics at Work Smarter Decisions. Better Results.
Competing on Analytics: The New Science of Winning
Thinking for a Living: How to Get Better Performances And Results from Knowledge Workers
What's the Big Idea? Creating and Capitalizing on the Best New Management Thinking
The Attention Economy: Understanding the New Currency of Business
Knowledge Management Case Book: Siemens Best Practises
Working Knowledge
Mission Critical: Realizing the Promise of Enterprise Systems
Mastering Information Management
Process Innovation: Reengineering Work Through Information Technology
Research Fellow
Senior Advisor
Director, Center for Customer Insights. Curtis Mathes Fellowship
Director of IT Research and consultant
Senior Research Associate
Principal and Director of Research
Global Leader
Analytics 3.0 And Beyond: From Ad Hoc Insights To Automated Decisions
Why AI 'regulation in the United States is a lost cause'
Five Minutes With Author Tom Davenport
AI in the Enterprise: Management and Business Review
ROI in AI: Achieving Value and Maximizing Return
026 – Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation
AI & the Future of Work
The Artificial Intelligence Revolution (w/ Tom Davenport)
Putting the artificial intelligence revolution to work
Putting Artificial Intelligence to Work
Episode 12: Being an AI-Driven Leader
Tom Davenport discusses the changing landscape of analytics
Tom Davenport on mitigating AI’s impact on jobs and business
The Rise of Automation’s Effect on the U.S. Job Market
Tom Davenport On Avoiding Obsolescence in an Automated Age
The Cobots Are Coming
Will Machines Take Your Job?
a16z Podcast: Automation, Jobs, & the Future of Work (and Income)
How to Integrate AI into your Organization
How to unleash data science to become a model-driven business
Competing on AI
Visiting Professor
Visiting Professor
Distinguished Professor
Visiting Professor
Boston University School of Management
Assistant Professor
The Explainer: Big Data and Analytics
Fuel and navigate organizational change
How to Lead a Data-Driven Culture
The Data & Analytics Essentials Sprint
Partner and Director of Research
Partner and Director