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Tom Davenport

Tom H. Davenport, a professor at Babson College, is a leading expert in analytics, data management, and business process management, with 24 books and over 250 articles published in top outlets like Harvard Business Review and Sloan Management Review.

Distinguished Professor at Babson College
Talks about

Davenport shares insights into data-driven decision-making and emphasizes the practical application of technology, the role of data scientists, the implications of big data, and the integration of advanced technologies like AI and machine learning in business processes.

AI advisor
big data
AI strategy
data analytics
data strategy
Badges
AI Expert
Analytics Expert
Top Voice

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Recognized by The Analytics Hall of Fame as a Global Leader

As a leader, Tom has transformed the practice of analytics by founding, or transforming, a successful global company or large division within a global company. As a leader he has a reputation and his ideas are known globally.

Competing on Analytics: Updated, with a New Introduction: The New Science of Winning

The book "Competing on Analytics" shows how organizations can use advanced analytics to transform strategies and gain a competitive edge, featuring a model of analytical competition and insights on leveraging data across various business functions.

Working with AI: Real Stories of Human-Machine Collaboration

This book navigates real-world examples of human-AI collaboration, showing how AI enhances tasks rather than replacing jobs, enabling workers to focus on more meaningful and challenging work.

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Management
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Blog
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3 min

Convergence of AI and healthcare

In this interview, David discusses AI’s evolving role in healthcare, highlighting its potential for improved diagnosis and treatment, enhanced clinician efficiency, and its ability to address staff shortages and cut costs through human-AI collaboration.
Data Management
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Blog
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5 min

Why Companies Should Consolidate Tech Roles in the C-Suite

The article highlights the confusion caused by the rise of multiple C-level technology roles and how some organizations are consolidating them into "SuperTech" leadership positions, typically held by CIOs, to streamline data and tech management, improve clarity, and drive digital transformation.
Data Engineering
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Blog
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6 min

BPM is Dead, Long Live BPM!

In this interview, Tom Davenport reflects on the evolution of business process management (BPM) from its rise in the 1990s to its current state amidst new technologies like AI and process mining, advocating for a blend of traditional process thinking with innovative tools to achieve business value.
Data Engineering
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Blog
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5 min

Is Your Company’s Data Ready for Generative AI?

The article reveals that while organizations are excited about generative AI, many have yet to prepare their data properly, hindering its potential value. It underscores the urgent need for data leaders to enhance data quality and integration.
Data Engineering
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Podcast
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30 min

Generative AI Trends for 2024

This episode with Tom Davenport highlights the significance of both generative AI and more traditional forms, exploring their impact on organizations and their adoption strategies.
Data Engineering
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Blog
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5 min

XREA And Information Services In The AI Age

The report highlights how AI has shifted decision-making from data analysis to actionable insights. Tools like XREA use AI to predict real estate trends, making decisions faster and more data-driven, reducing reliance on intuition and lowering costs.
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!