Technology
Ideas and insights about technology from MIT Sloan.
The economic impact of generative AI
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Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
The secret to successful AI implementations? Worker voice
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When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
7 lessons from the early days of generative AI
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A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
Making generative AI work in the enterprise: New from MIT SMR
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Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
6 ways to nurture IT talent
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How organizations can be more strategic and creative about how they find, develop, and retain IT leaders.
How companies can use AI to find and close skills gaps
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To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
Why companies are turning to ‘citizen developers’
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Business experts can now design, develop, and deploy IT applications on their own, without the need for robust programming skills.
Use imagination to make the most of generative AI
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Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
Sam Altman thinks AI will change the world. All of it.
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The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
MIT report details new cybersecurity risks
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Cloud misconfigurations, more sophisticated ransomware, and exploitation of vendors are contributing to rising cyberattacks.