MIT Sloan Center for Information Systems Research (CISR)

Abstract:
We introduce four enterprise IT operating models for the AI era—each requiring different leadership and governance and delivering different outcomes.

Publication date: 2025-12-18

Publication type: Talking Points

Publication authors…

Abstract:
Newer digital technologies such as artificial intelligence are blurring the lines between the IT function and business units, offering new approaches to the enterprise IT operating model. As part of these approaches, many top performers are …

Abstract:
Newer digital technologies such as artificial intelligence are blurring the lines between the IT function and business units, offering new approaches to the enterprise IT operating model. As part of these approaches, many top performers are …

Abstract:
We introduce a new framework depicting four enterprise IT operating models for the AI era—each requiring different leadership and governance and delivering different outcomes.

Publication date: 2025-12-18

Publication type: Framework

…

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:
This video session features a pre-recorded interview with Stephanie Woerner and Dontá L. Wilson, Chief Consumer and Small Business Banking Officer, Truist Financial Institution; Director, Signet Jewelers; and Board Chair, UNC Charlotte’s Boa…

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:
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:
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:
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 …