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.
Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.
This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.
PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.
Practical strategies for hybrid work, linking good intentions to intentional actions, and Daniel Kahneman on “noise.”
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.
Bart De Langhe and Stefano Puntoni explain how organizations can make better decisions with data.
Adapting roles amid organizational change, “invisible” leadership transitions, and new digital olfaction technologies.
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.
To make data migration more effective, start with a minimum set of viable data, leave out nice-to-have data, and weigh speed vs. quality.
Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.
Hiring with AI, creating learning organizations, and cultivating a high-purpose culture to support leadership at all levels.
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.