Analytics

Effective data leadership starts with modernizing data technology — and calls for taking action, no matter how daunting.

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

Physical retailers should combine data-driven insights with human touch to create a seamless hybrid shopping experience, these B2B experts say.

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.

Companies should prioritize the capture, management, and availability of data, according to the 2024 Data and AI Leadership Executive Survey.

MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.

Artificial intelligence can address many logistics and supply chain challenges, including vehicle routing.

Data is the common language of our time. Achieving data literacy in your organization requires a shared mindset, language, and skills.

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.

Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.