Data
Ideas and insights about data from MIT Sloan.
Generative AI enables companies to execute with speed
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MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.
4 ways for data officers to take the helm on AI initiatives
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Companies should prioritize the capture, management, and availability of data, according to the 2024 Data and AI Leadership Executive Survey.
5 new cybersecurity regulations to know about
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Company leaders need to be on top of best practices and legal requirements for data protection, including mandatory incident reporting and bans on ransomware payments.
MIT Sloan’s new courses focus on AI, analytics, climate
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MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.
GDPR reduced firms’ data and computation use
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A new study finds a 26% decline in data storage and a 20% increase in the cost of data.
6 ways to help employees embrace data-driven initiatives
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Change management is the secret sauce for driving ROI in data-centric initiatives. Here’s a look at some of the neuroscience behind employee engagement in times of change.
Data literacy: The key to cracking the data culture code
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Data is the common language of our time. Achieving data literacy in your organization requires a shared mindset, language, and skills.
5 insights into the digital economy from MIT researchers
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Research about quantum computing, companies run by “geeks,” and how artificial intelligence will affect workers.
Artificial intelligence is now everyone’s business
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
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.