Automation
How to Establish an Automation Center of Excellence
A dedicated team can help maximize the utility — and competitive advantage — of automation systems.
A dedicated team can help maximize the utility — and competitive advantage — of automation systems.
Home Depot’s Huiming Qu discusses how the home improvement retailer leverages AI to improve the customer experience.
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
The Me, Myself, and AI podcast delves into how automotive supplier Cooper Standard uses open innovation to leverage AI.
Dramatic changes within the life sciences industry present unique opportunities to use AI.
Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.
The technology for creating deepfakes offers the potential for companies to build positive customer experiences.
JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.
This Strategy Guide offers expert advice on assessing your organization’s business readiness for AI.
Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.
Employers can vet people more ethically and accurately with explainable AI.
Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.
This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.
Preparing workers for a digital future, targeted learning, and the emotions of returning to the office.
Companies are taking different approaches to preparing their workers for the digital future.
Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.
To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.
Companies that emphasize collaboration between AI and human workers are best positioned for success.
There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.
Data accessibility must be managed from the start of AI projects in order to be implemented in production.