MIT Sloan Center for Information Systems Research (CISR)

Abstract:A liquid data asset is a cohesive set of data that a company has made accurate, available, combinable, relevant, secure, and readily usable for future value creation. Highly liquid data assets help companies exploit their dynamic capabilities…

Abstract:A liquid data asset is a cohesive set of data that a company has made accurate, available, combinable, relevant, secure, and readily usable for future value creation. Highly liquid data assets help companies exploit their dynamic capabilities…

Abstract:In recent years, organizations have increasingly relied on decentralized decision making by cross-functional teams to rapidly sense and respond to changes in their environment. To succeed with this approach, organizations don’t need less lead…

Abstract:In recent years, organizations have increasingly relied on decentralized decision making by cross-functional teams to rapidly sense and respond to changes in their environment. To succeed with this approach, organizations don’t need less lead…

Abstract:Partnering with xTechs offers new customer experiences or lower-cost operations. But xTechs want to scale quickly, while a large organization has to carefully manage its brand and integration plus regulatory and cyber risks. In this presentat…

Abstract:For decades, companies have thought of themselves as operating in industries such as banking, retail, shipping, automotive, and energy. But most customers have needs and problems, often cross-industry, that must be solved; for example, busine…

Abstract:MIT CISR research has identified three key capability areas that organizations need to master for scaling AI: data monetization, AI explanation (AIX), and model management. In this presentation, Barb shares what the research team now knows ab…

Abstract:In this presentation, Barb introduces the concept of data liquidity: the ease of data asset reuse and combination. She shares data liquidity research insights gleaned from this year’s data leader interviews, and shares examples that illustrat…

Abstract:In this session summary, Barb introduces the concept of data liquidity: the ease of data asset reuse and combination. She shares data liquidity research insights gleaned from this year’s data leader interviews, and shares examples that illust…

Abstract:MIT CISR research has identified three key capability areas that organizations need to master for scaling AI: data monetization, AI explanation (AIX), and model management. In this session summary, Barb shares what the research team now knows…

Abstract:To create bottom-line value from digital, many organizations need to do some kind of organizational surgery; these organizations are just not well designed for the digital era. The organizational changes remove organizational complexity and h…

Abstract:Although programs advocating digital innovation across the public sector are widespread in New South Wales (NSW), Australia, understanding how the public sector enables digital innovation in practice is less understood. While research on digi…