AI & Machine Learning
Bring Your Own AI: How to Balance Risks and Innovation
Learn how to transform employees’ use of publicly available GenAI tools at work from organizational liability to asset.
Generative AI
Latest
Content Sponsored by ThoughtSpot
Generative AI for Data and Analytics: How Early Adopters Are Reaping the Rewards
Survey report: What 1,000 business and data leaders think about using generative AI for analytics.
AI & Machine Learning
Reality Check: Generative AI’s Impact on Work
Research finds that the adoption of generative AI tools across industries has been slower than many people anticipated.
New Product Development
When Generative AI Meets Product Development
Image- and text-generation tools are helping innovation groups improve ideation and creativity and gain market insights.
Developing Strategy
Our Guide to the Summer 2024 Issue
This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.
Technology Implementation
Auditing Algorithmic Risk
Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.
AI & Machine Learning
Three Things to Know About Prompting LLMs
Apply these techniques when crafting prompts for large language models to elicit more relevant responses.
AI & Machine Learning
Nudge Users to Catch Generative AI Errors
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.
New Product Development
If 10% of the World Were Developers: GitHub’s Mario Rodriguez
On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.
AI & Machine Learning
Reinventing the Organization for GenAI and LLMs
Learn three principles for reorganizing work around AI.
AI & Machine Learning
In AI We Trust — Too Much?
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
Innovation Strategy
Our Guide to the Spring 2024 Issue
The spring 2024 issue of MIT SMR looks at opportunities in digital innovation, automation, generative AI, and more.
AI & Machine Learning
Who Profits the Most From Generative AI?
Analyzing factors behind generative AI’s value can help leaders determine who will benefit most from its growth.
AI & Machine Learning
What AI Means for Human Capital
Many organizations are experimenting with generative AI, and many questions remain about its impact on the workforce.
Automation
Will Large Language Models Really Change How Work Is Done?
LLMs have immense capabilities but present practical challenges that require human knowledge workers’ involvement.
Content Sponsored by WEKA
AI Unleashed: Tackle Data Management Hurdles for Success
This free webinar offers expert insights on effective data-management strategies for AI adoption.
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.
AI & Machine Learning
Preparing Your Organization for a Generative Future
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
AI & Machine Learning
Finding Transformation Opportunities With Generative AI
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
AI & Machine Learning
Generative AI Demystified: What It Really Means for Business
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
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