The Fourth Industrial Revolution is changing the way the world lives, thinks, and interacts–but manufacturers are struggling to capture the full potential of their digital transformation efforts. To successfully implement Industry 4.0 across their networks, factories must put people at the center of their transformations. Check out these insights to understand how companies can effectively […]
Making good use of data and analytics will not be done with any single bold move but through multiple coordinated actions. Despite the recent and significant advances in MI, the full scale of the opportunity is just beginning to unfold. In this episode, we discuss why some companies do better than others, what are the
Companies are making big investments in machine intelligence, including automation and machine learning to boost efficiency.
For example, during Tyson Foods, Inc.’s Q1 2022 earnings call last month, CEO and President Donnie King doubled down on the company’s plan to spend $1.3 billion over the next three years to increase automation in meat plants. But implementing machine intelligence successfully can be complex, according to new research. To learn more, I had
The MIT MIMO and McKinsey & Co. collaborative study of artificial intelligence (AI) in manufacturing and operations now live in the current edition of the Harvard Business Review. This first-of-its-kind study is a comprehensive undertaking to identify how manufacturing and operations leaders create the right organizational capabilities and prioritize the use cases with the largest
Join us this May 4th, 2022 for the first Machine Intelligence for Manufacturing and Operations Committee Symposium on the topic: Operationalizing Your Enterprise’s AI Strategy. The cutting edge research on AI at MIT is changing the traditional paradigms of manufacturing & operations; both old and new businesses must adapt fast. In our symposium, we will
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.
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,
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