AI & Machine Learning
Achieving Return on AI Projects
Six strategies can help guide data science teams toward greater success in cross-unit projects.
AI & Machine Learning
Latest
Data & Data Culture
AI and the COVID-19 Vaccine: Moderna’s Dave Johnson
Moderna’s chief data and AI officer explains how AI helped the pharma company develop a COVID-19 vaccine in record time.
Sam Ransbotham and Shervin Khodabandeh
Content Sponsored by SAS
Assessing AI Readiness: Planning for Today — and Tomorrow
This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.
MIT SMR Connections
Technology Innovation Strategy
The Pursuit of AI-Driven Wealth Management
Many organizations have challenges with deploying AI. Wealth management is a clear exception.
Thomas H. Davenport and Randy Bean
Ethics
Starting Now On Technology Ethics: Elizabeth Renieris
Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.
Sam Ransbotham and Shervin Khodabandeh
Content Sponsored by SAS
Technical Readiness for AI: What Your Organization Needs to Know
This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.
MIT SMR Connections
Analytics & Business Intelligence
No Need for AI Unicorns: PepsiCo’s Colin Lenaghan
PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.
Sam Ransbotham and Shervin Khodabandeh
Digital Marketing
DIY With AI: The Home Depot’s Huiming Qu
Home Depot’s Huiming Qu discusses how the home improvement retailer leverages AI to improve the customer experience.
Sam Ransbotham and Shervin Khodabandeh
Technology Implementation
Taming AI’s Can/Should Problem
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
Ayanna Howard and Deven R. Desai
Innovation Strategy
Prototypes, Pilots, and Polymers: Cooper Standard’s Chris Couch
The Me, Myself, and AI podcast delves into how automotive supplier Cooper Standard uses open innovation to leverage AI.
Sam Ransbotham and Shervin Khodabandeh
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.
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
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
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
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
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
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
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
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
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
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