AI & Machine Learning

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AI & Machine Learning

Free Webinar | Adopting AI: Putting the Pieces Together

The first three webinars in this series shared expert advice on picking the right problems to solve with AI and assessing business and technical readiness to launch AI initiatives. In this one-hour finale, Beena Ammanath, executive director of the Deloitte AI Institute, Chris Donovan, executive director of enterprise analytics at Cleveland Clinic, and Kimberly Nevala, strategic advisor at SAS, discuss current and future AI trends, strategies, and use cases. Join us for this free event.

May 06, 2021

Technology Innovation Strategy

Embracing AI When Your Industry Is in Flux

Dramatic changes within the life sciences industry present unique opportunities to use AI.

Thomas H. Davenport and Randy Bean

May 05, 2021

AI & Machine Learning

Business Scents: The Rise of Digital Olfaction

Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.

Mark Purdy, Max Klymenko, and Mia Purdy

May 03, 2021

Technology Innovation Strategy

Creating Valuable (and Trusted) Experiences With Digital Personas

The technology for creating deepfakes offers the potential for companies to build positive customer experiences.

Sanjay Podder, Shalabh Kumar Singh, Neville Dubash, and David Light

April 27, 2021

IT Governance & Leadership

Designing a Better Future: Mastercard’s JoAnn Stonier

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

Sam Ransbotham and Shervin Khodabandeh

April 27, 2021

Content Sponsored by SAS

Business Readiness for AI: What Your Organization Needs to Know

This Strategy Guide offers expert advice on assessing your organization’s business readiness for AI.

MIT SMR Connections

April 26, 2021

Platforms & Ecosystems

Learning, Engagement, and Empowerment: 1-800-Flowers’ Amit Shah

Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.

Sam Ransbotham and Shervin Khodabandeh

April 13, 2021

Collaboration

Games, Teams, and Moonshots: Google Cloud’s Will Grannis

Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.

Sam Ransbotham and Shervin Khodabandeh

March 30, 2021

Content Sponsored by SAS

Pinpointing the Problems: Which Ones Are Right for AI?

This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.

MIT SMR Connections

March 29, 2021

Skills & Learning

How HR Leaders Are Preparing for the AI-Enabled Workforce

Companies are taking different approaches to preparing their workers for the digital future.

Thomas H. Davenport and George Westerman

March 17, 2021

Data & Data Culture

Execs Bullish on AI but Wary of Data Leadership

Only a third of data executives feel that their role is “successful and established.”

Thomas H. Davenport and Randy Bean

March 05, 2021

Analytics & Business Intelligence

Why So Many Data Science Projects Fail to Deliver

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

Mayur P. Joshi, Ning Su, Robert D. Austin, and Anand K. Sundaram

March 02, 2021

Leadership Skills

The Best of This Week

Planning for the post-pandemic workplace, managing hybrid teams, and optimizing your organization for AI.

The MIT SMR Editors

February 12, 2021

AI & Machine Learning

Progress Toward the Intelligent Enterprise

To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.

Joseph Byrum

February 11, 2021

AI & Machine Learning

Learn to Make the Most of Your Relationship With AI

This webinar outlines how human-AI collaboration leads to measurable results for organizations.

Sam Ransbotham, Shervin Khodabandeh, Prakhar Mehrotra, and Allison Ryder

January 20, 2021

Innovation Strategy

The Best of This Week

Workforce ecosystems, machine discovery, human-machine collaboration, and the inventor of Wikipedia.

The MIT SMR Editors

January 15, 2021

AI & Machine Learning

The Key to Success With AI Is Human-Machine Collaboration

Companies that emphasize collaboration between AI and human workers are best positioned for success.

Allison Ryder

January 13, 2021

Analytics & Business Intelligence

Machine Learning and Data Analytics in the Pandemic Era

In this webinar, Jeffrey D. Camm and Thomas H. Davenport explain how the COVID-19 pandemic has impacted the practice of data analytics.

Jeffrey D. Camm, Thomas H. Davenport, and Elizabeth Heichler

December 17, 2020

Technology Innovation Strategy

What Is a Minimum Viable AI Product?

There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.

Thomas H. Davenport and Rudina Seseri

December 15, 2020

Analytics & Business Intelligence

The Transformational Power of Recommendation

Recommendation engines promise to revolutionize how customers buy and employees work.

Michael Schrage

November 24, 2020

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