MIT Sloan Center for Information Systems Research (CISR)

Abstract:
Organizations with big aspirations for leveraging AI technology increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. This briefing draws on the multiyear journey of …

Abstract:
Organizations with big aspirations for leveraging AI technology increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. This briefing draws on the multiyear journey of …

Abstract:
Big organizations, especially those with big aspirations for leveraging AI technology, increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. In this presentation, Bar…

Abstract:
High-performing companies are redefining process excellence in the age of AI. In this presentation, Ina explores how AI is reshaping business processes—from rigid, rule-based workflows into intelligent, adaptive systems that learn and evolve…

Abstract:
In 2018 MIT CISR published the book What’s Your Digital Business Model? based on several years of survey and case study research. In this presentation, Peter presents a provocative business model framework on how we anticipate firms will mak…

Abstract:
MIT CISR introduced a four-stage enterprise AI Maturity framework in 2024 to help enterprise leaders make sense of the AI landscape and identify how to create value from the technology. Recent survey results show that enterprises are making …

Abstract:
In this presentation, Alan unpacks the risks, benefits, and costs associated with each of four IT operating models and shares how leading organizations’ IT functions support business units whose performance is heavily IT and AI dependent. Bu…

Abstract:
In last year’s MIT CISR research study on real-time businesses, we found that top-performing companies on both margin and growth operated businesses more in real time (e.g., onboarding and serving customers more in real time). In 2025, we co…

Abstract:
As organizations become more AI-fueled and pursue complex digital business opportunities, they must have a new system of guardrails that enable them to innovate quickly yet safely. Leaders must also prove that every data byte and model run i…

Abstract:
In 2023 and 2024, MIT CISR collected information from 349 executives to learn how organizations are generating economic returns from data monetization activities. This report provides detailed survey results and can be used by organizations …

Abstract:
This framework for AI-driven, real-time models illustrates MIT CISR’s prediction that business models in the AI era will become increasingly outcome oriented and enabled by autonomous AI.

Publication date: 2025-10-16

Publication type…

Abstract:
MIT CISR anticipates that rapid advancements in AI will drive business model evolution over the next decade, and we propose that business models in the AI era will become increasingly outcome oriented and enabled by autonomous AI. In this br…