Learn how to Operationalize your AI Strategy,  ensure your company's Data Readiness and improve Data Driven Decision Making from MIT faculty, industry leaders at this MIT Machine Intelligence for Manufacturing and Operations (MIT MIMO) Symposium.  You will also hear the first public read out of the McKinsey & Co. / MIT MIMO Manufacturing, Operations and Supply Chain AI Adoption Study. 

The opportunity for cost reduction, quality improvement and revenue increase from AI implementation in manufacturing and operations has been well documented, however successful implementation requires both strong technical understanding and superior management infrastructure. This symposium is the first in a series to address the implementation issues preventing companies from deploying AI as part of their digitization strategy to yield significant, tangible and lasting results.  We will discuss topics like how to: 
 

• Maximize the value of your data,

• Ensure your organization has the appropriate data skills, 

• Create a digital thread throughout your supply chain and operations, and 

• Avoid adversarial attacks on your data.

Faculty speakers include: Tim Kraska and Alexander Madry from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Georgia Perakis, Restef Levi and Vivek Farias from MIT’s Operations Research Center (ORC) and Brian Anthony from MIT’s School of Engineering.
 

Join MIT Machine Intelligence for Manufacturing and Operations (MIT MIMO) for the first 2020 Symposium on Operationalizing your AI Strategy to hear from MIT faculty, industry about how to ensure your companies Data Readiness and Data Driven Decision Making.

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Seating in limited to 100 so REGISTER NOW!