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Hackathon is open to the public and will take place November 6-8, 2020

Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.

Only half of performance gains seen after using a more advanced AI model come from the model itself. The other half come from how users adapted their prompts.

From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.

Machine learning tools only work if people use and trust them. To achieve this, developers and end users should have a back-and-forth conversation.

While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.

AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.

MIT experts explain how generative AI — and AI generally — could transform enterprises this year, as well as how to set realistic environmental goals.