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.
Artificial Intelligence
Latest
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.
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.
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.
Talent Management
When You Reject People, Tell Them Why
Employers can vet people more ethically and accurately with explainable AI.
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.
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.
Skills & Learning
The Best of This Week
Preparing workers for a digital future, targeted learning, and the emotions of returning to the office.
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.
Technology Implementation
Less Algorithm, More Application: Lyft’s Craig Martell
Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.
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.
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.
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.
Technology Implementation
The Data Problem Stalling AI
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
Content sponsored by AWS
Developing the Data-Driven Organization: Leadership, Culture, and Learning
A Q&A with AWS’s Ishit Vachhrajani on how leaders can generate excitement about and support for AI organization-wide.
IT Governance & Leadership
Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI
Business — and society — should think of the governance of AI as an enabler rather than a constraint.
Analytics & Business Intelligence
Fashion Forecasting: Arti Zeighami on Implementing AI at H&M Group
The fashion retailer’s chief data and analytics officer uses agile pilots to assess and scale technology initiatives.
Technology Innovation Strategy
Better Together: Mattias Ulbrich on Combining Coffee, Business, and Technology at Porsche
Porsche is accelerating innovation by emphasizing the need for collaboration between humans and AI technology.
Innovation Strategy
‘The First Day Is the Worst Day’: DHL’s Gina Chung on How AI Improves Over Time
AI is a powerful tool for innovation when leaders communicate its benefits.
Leading Change
Reimagine Your Next Chapter With Resources From MIT SMR
Our site is free and unlocked today through Thursday, and we’re offering recommendations to help you tackle your biggest challenges.