Tom Davenport

Pioneering Authority on AI Strategies That Drive Competitive Advantage; Visiting Professor, Oxford Saïd Business School

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Big Data Speaker Tom Davenport
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Tom Davenport

Pioneering Authority on AI Strategies That Drive Competitive Advantage; Visiting Professor, Oxford Saïd Business School

Rango de tarifas: Solicitar Cotización

Viaja desde: Estados Unidos

Tom Davenport está disponible para conferencias virtuales y webinars. Por favor complete el formulario o contacte con nuestros agentes para recibir cotización de las tarifas especiales para eventos virtuales. Atención: El rango de tarifas mostrado es para eventos presenciales.

Biografía de Tom Davenport

Speaker 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 for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books 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, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin.

One of HBR’s most frequently published authors, Tom has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name. Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence. Tom’s book, co-authored with Julia Kirby, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines offers tangible tools for individuals who need to work with cognitive technologies and in his latest book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, he provides a guide to using artificial technologies in business. You can read a review of The AI Advantage on MIT Press.

Harvard Business Review editors highlighted his latest ideas in the 10 Must Reads 2017: The Definitive Management Ideas of the Year and again in the 2019 issue. One of his articles is also in the new 10 Must Reads on AI, Analytics, and the New Machine Age. Tom was also named one of ten “Top Voices” by LinkedIn–in 2016 for Education, and in 2018 for Technology. He has also been named one of the top three business/technology analysts in the world, one of the 100 most influential people in the IT industry, and one of the world’s top fifty business school professors by Fortune magazine.

Tom works with a variety of established companies and startups in the analytics and AI space.

Conferencias de Tom Davenport

Longtime Harvard, MIT, and Babson professor Tom Davenport – one of the world’s foremost authorities on analytics, big data and AI strategies that drive competitive advantage – has been an objective advocate for virtual offices since the 1990s when he wrote “Two Cheers for the Virtual Office.” COVID presents a once-in-a-lifetime (we hope) opportunity to redesign work to improve employee satisfaction, productivity, and the environment all at once. In this presentation, he outlines what today’s workers want from their work environments, the various factors that constrain work design, and the importance of segmentation and choice as design elements. He also reveals the outcomes of multiple experiments and data analyses that have been performed by leading firms’ HR analytics groups, and other research that could further guide post-COVID arrangements. “Employers today need workforce policies that are guided by data and enlightened experimentation,” says Davenport, “not opinion and tradition.”

According to Tom Davenport – distinguished professor of IT management at Babson College and co-founder of the International Institute for Analytics – the COVID-19 pandemic taught us that America’s data management system is lagging behind those of other countries. Here, he examines how decisions made during the pandemic became more important and more challenging, and that without a cohesive framework, the fractured, sometimes “alternative,” data often led to worse decisions than those made with no data at all. Bad sources and models resulted in cherry-picked facts, emotional decision making and cognitive biases. Now, with systematic methods for identifying these faulty impulses, Davenport teaches organizations how to avoid similar perils by course-correcting away from biased data to find reliable solutions. In this presentation, he discusses the role of statistics and heuristics and how much of our decision making should be offloaded to machines.

Tom Davenport revolutionized the world of analytics with his 2007 book Competing on Analytics. Now he’s describing companies that take the same aggressive approach to artificial intelligence. In this presentation, he discusses the attributes of AI-fueled companies, and details the leadership, strategy, and cultural traits that make companies highly successful with AI. From Kroger in Cincinnati to Ping An in China, he illustrates how AI-driven organizations will power the future of business.

In most industries, data, analytics, and artificial intelligence have taken the guesswork out of business strategy. So why haven’t these tools revolutionized health care? In this presentation, Tom Davenport – distinguished professor of IT management at Babson College and cofounder of the International Institute for Analytics – reviews the potential for more intelligent health care, and the structural barriers preventing a full health care makeover. He describes the silos that prevent data sharing, the slow progress of AI adoption, and the differences in objectives among stakeholders. With optimism about new AI capabilities and information management roles – like Chief Information Officer, Chief Data Officer, and Chief Analytics and AI Officer – and a keen understanding of internal change management issues, he offers health care leaders practical solutions for making more informed decisions through full data integration.

Although many companies and observers are excited about the possibility of competitive advantage from analytics on “big data,” they may not understand fully the differences between big and small data analytics. In this session, Tom describes the concept of big data and what organizations are attempting to accomplish with it, and the role of the data scientist in extracting value from big data. He presents examples of several leading companies, from startup to established, that are aggressively pursuing big data. Throughout the session, Tom sheds light on the implications of big data and how it enables organizations to manage and bring products and services to market.

Ver vídeos de Tom Davenport

Tom Davenport - AI & New Emerging Business Models
Tom Davenport - The Future of Artificial Intelligence