Leading Change
Leading AI Is Still Leading
MIT Sloan Management Review’s fall 2023 issue includes a look at what it takes to lead artificial intelligence efforts.
MIT Sloan Management Review’s fall 2023 issue includes a look at what it takes to lead artificial intelligence efforts.
With a modest amount of training, nontechnical employees can automate complex processes.
When organizations create forward-looking smart KPIs with AI, they see increased strategic alignment.
Research points to six practices leaders can use to overcome stakeholder resistance to automated negotiation technology.
Even with its deep AI experience, Mastercard is feeling its way toward how it uses generative AI.
On the Me, Myself, and AI podcast, Amnesty International’s Matt Mahmoudi and Damini Satija discuss AI’s societal risks.
FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.
On the Me, Myself, and AI podcast, Pinterest’s Jeremy King discusses the technology behind the image-based platform.
On the Me, Myself, and AI podcast, Duolingo’s Zan Gilani shares how AI personalizes the language app and motivates users.
Researchers describe how having robots work alongside humans can help companies measure performance more accurately.
On the Me, Myself, and AI podcast, Airbnb’s Naba Banerjee explains how machine learning helps protect hosts and guests.
Researchers are seeing stronger business benefits when KPIs are adjusted with or created by AI tools.
On the Me, Myself, and AI podcast, Aboitiz Data Innovations CEO David Hardoon discusses regulation’s role in innovation.
On the Me, Myself, and AI podcast, learn how social scientists help facilitate human-machine collaboration at Intel.
The 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.
New AI tools can produce text, audio, and images. What does that mean for creative professionals? Two experts weigh in.
MIT Sloan Management Review’s summer 2023 issue includes a look at the risks and potential rewards of generative AI.
A more logical approach to risk management can help leaders sustain value generation through disruption and uncertainty.
Algorithms sometimes fail to keep pace with changes in the environment and deliver poor-quality predictions as a result.
On the Me, Myself, and AI podcast, venture capitalist Hina Dixit shares her criteria for investing in AI startups.