Technology Implementation
Bonus Episode: Generative AI Trends for 2024 With Tom Davenport
On the Me, Myself, and AI podcast, Tom Davenport discusses how organizations might use generative AI.
On the Me, Myself, and AI podcast, Tom Davenport discusses how organizations might use generative AI.
A new framework can help companies fine-tune their product demand forecasting by using human and AI agents in concert.
Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.
On the Me, Myself, and AI podcast, Mark Surman discusses Mozilla’s work to protect internet users as AI tools multiply.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
Artificial intelligence developers can make choices that will reduce the emissions generated by AI training models.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
On the Me, Myself, and AI podcast, Capital One’s Prem Natarajan explains AI’s role in enhancing the customer experience.
How will your organization use artificial intelligence in the coming year? Consider this roundup of expert advice.
Enhance your leadership skills with MIT Sloan Management Review’s most-read articles of 2023.
Todd Heimes of Amazon Business shares insights on procurement and digital transformation.
Is your AI project using the right data, and is it set up to succeed? Ask the right questions to head off failure.
On the Me, Myself, and AI podcast, NASA’s Vandi Verma explains how artificial intelligence supports space exploration.
This issue of MIT SMR focuses on sustainability, customer and employee engagement, and strategic planning.
Large AI models are big energy consumers and carbon emitters. Sustainable AI practices can reduce their environmental impact.
New research indicates that both employers and job applicants are optimistic about hiring in 2024.
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.