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The Executive Leadership Perspective   Executive leaders have the responsibility to guide their organization’s AI Holistic Adoption journey. In previous articles of this series, we began with the foundation of Value, moved to the framework of the Program, and then addressed some specific AI Holistic Adoption aspects of Data. We now discuss the most complex topic of all, the executive leader’s response to the Ethics of AI.   Continue reading ...

The Executive Leadership Perspective    For the executive leader who is taking their enterprise on a journey of Digital Transformation and AI Holistic Adoption, we started this series with the foundation of Value and then moved to the framework of the Program. Although these are the fundamental building blocks required for success, the results of any enterprise’s analytics, do, in ...

As a team of students from MIT’s Operations Research, Electrical Engineering & Computer Science, and Leader for Global Operations program, we created the MIMO Student Research Forum to share and discuss how machine intelligence can be applied to solve problems in manufacturing and operations. The Forum is a weekly discussion group organized into topic groups, ...

MIT Chemical Engineering graduate student Fabian Mohr presented work on Smart Data Analytics, a research effort from the Braatz group in the Chemical Engineering department. The goal of the Smart Data Analytics project is to develop a systematic approach for determining the best predictive algorithm to apply to a given data set based on the ...

The Executive Leadership Perspective   The first article of this series described the fundamental responsibility of executive leaders to focus the enterprise Digital Transformation and AI Adoption on Value. AI Holistic Adoption drives the value focus and is the combination of addressing the needs of the people, processes, and tools associated with the AI solution. This is a ...

The Executive Leadership Perspective Successful Digital Transformation and AI adoption requires executive leaders to ensure that AI solutions are bringing Value to the enterprise. Here, Value means that these solutions must be monetizable, sustainable and scalable. Monetizable means able to be turned into cash in the business world; in this context it means to become a source of profit. For the AI ...

An excellent article appeared recently in the MIT LGO Review e-newsletter, authored by LGO ’19 graduate Maria Emilia Lopez Marino, which addresses some of the practical challenges seen by many companies adopting or expanding their AI/ML capabilities in operations. An excellent article appeared recently in the MIT LGO Review e-newsletter, authored by LGO ’19 graduate Maria Emilia ...

On November 12th, Professor Duane Boning (MIT Electrical Engineering and Computer Science department) announced the new MIT program on Machine Intelligence for Manufacturing and Operations (MIMO) during his presentation to the MIT QUEST for Intelligence audience at the MIT ILP Research and Development Conference.