AI & Machine Learning
The Risks of Too Much AI: Fortune’s Jeremy Kahn
On the Me, Myself, and AI podcast, journalist Jeremy Kahn discusses the risks of an overreliance on AI technologies.
On the Me, Myself, and AI podcast, journalist Jeremy Kahn discusses the risks of an overreliance on AI technologies.
Learn about the benefits and challenges of responsibly using generative AI in higher-education.
On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.
On the Me, Myself, and AI podcast, Nobel Prize winner Paul Romer discusses the opportunities AI brings to education.
Students rank affordability and career advancement as top factors in choosing higher-ed programs.
U.S. colleges hoping to boost enrollments should recruit internationally, a Google-GWI survey says.
Delta’s Michelle McCrackin discusses the airline’s in-house analytics training program on the Me, Myself, and AI podcast.
Lessons from the golden age of Black business can teach today’s leaders how to help Black entrepreneurs prosper.
Learn how to reassure students about the value of higher-ed investments even in uncertain times.
Strategy experts weigh in on the future of the traditional classroom-based MBA versus online and specialized degrees.
Creative approaches to setting prices and managing costs can make responsible business practices financially viable.
College students will want online learning options even after the pandemic ends, a new survey says.
Companies committed to building workforce skills model learning and development best practices that others can follow.
Wayfair’s KeyAnna Schmiedl discusses how culture and inclusion are foundational to organizational learning.
Companies upskilling their workforce are less likely to be caught flat-footed by broad tech changes.
Peer coaching plays a foundational role in developing human skills that technology cannot replace.
The skills challenge requires shifting initiatives and resources to where they are needed most.
A new article series explores opportunities to reimagine the future of workplace learning.
Companies need to identify the type of talent they need in order to become data-driven.
Universities worldwide scramble to create new learning environments in response to COVID-19.