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