Analytics
Ideas and insights about analytics from MIT Sloan experts.
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.
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.
How AI is transforming logistics
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Artificial intelligence can address many logistics and supply chain challenges, including vehicle routing.
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.
6 ways to transform KPIs
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Smarter KPIs lead to better outcomes. Companies that revise their KPIs with artificial intelligence see greater financial benefit than those that do not, new research shows.
Better predictive models could reduce clothing returns
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Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.
It’s time to make sure everyone understands generative AI
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Employees should know how generative artificial intelligence works, how companies are using it, and how it compares to other advanced analytics tools.
Data executives’ to-do list for 2024 includes governance, gen AI
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Chief data officers are preparing for generative AI while continuing to work on other data initiatives, according to a new survey.
Build better KPIs with artificial intelligence
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AI-enriched KPIs, known as smart KPIs, can better guide organizations toward key business goals.