Since 2019, MIT CISR’s data research team has investigated how organizations scale AI in the pursuit of becoming AI-fueled. We have discovered that scaling AI requires advanced data monetization capabilities, an AI explanation capability, and a rethinking of scale to realize both deployment success and model recontextualization. This year we will investigate yet another area to rethink: model management. In 2023, we will explore model management to better understand its role in scaling AI—and the implications for how organizations need to think about and manage organizational knowledge.
This study will primarily rely on a survey of several hundred executives with an understanding of AI at their organization. The research team will also conduct at least one vignette or case study on a company that has achieved success in scaling AI.
Research questions we will pursue include:
- Is model knowledge management different from traditional knowledge management? Why or why not?
- How can AI-model knowledge contribute to an organization’s competitiveness and firm performance?
This project is a continuation of MIT CISR’s 2022 research project on Managing AI Scale: Identifying Approaches that Work.
SEEKING: We are seeking participation in the research from executives with familiarity of at least one AI initiative at their organization.
CONTACT: Barb Wixom
