Technology Implementation
Don’t Get Distracted by the Hype Around Generative AI
Hype around generative AI tools like ChatGPT impede business leaders’ ability to make well-informed technology choices.
Hype around generative AI tools like ChatGPT impede business leaders’ ability to make well-informed technology choices.
On the Me, Myself, and AI podcast, Aflac’s CIO discusses tech hiring and the insurer’s use of artificial intelligence.
Do responsible AI programs effectively address the risks of generative artificial intelligence tools? Experts weigh in.
Instagram’s Stephanie Moyerman discusses AI’s role in supporting social media safety on the Me, Myself, and AI podcast.
It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.
WWF’s Dave Thau discusses how artificial intelligence aids nature conservation efforts on the Me, Myself, and AI podcast.
Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.
On the Me, Myself, and AI podcast, Expedia Group’s Rathi Murthy discusses how AI is changing the travel industry.
The journey to be more client-centric has brought a focus on artificial intelligence and data at Northwestern Mutual.
On the Me, Myself, and AI podcast, Lego’s head of data engineering explains its approach to digital transformation.
Delta’s Michelle McCrackin discusses the airline’s in-house analytics training program on the Me, Myself, and AI podcast.
This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.
Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.
On the Me, Myself, and AI podcast, Microsoft’s Eric Boyd discusses Azure and democratizing artificial intelligence.
UC Berkeley’s Ziad Obermeyer discusses how machine learning and AI are being used for medical research and diagnoses.
The human side of data continues to challenge companies.
Artificial intelligence is quietly improving the management of data, including its quality and security.
Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
MIT SMR and BCG research team members discuss a recent artificial intelligence study at the Web Summit conference.