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.
Artificial Intelligence
Latest
Technology Implementation
Taming AI’s Can/Should Problem
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
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.
Technology Innovation Strategy
Embracing AI When Your Industry Is in Flux
Dramatic changes within the life sciences industry present unique opportunities to use AI.
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.
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.
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.