Demystifying AI — Everything You Need to Know for Successful Deployment

Abstract: 

Artificial Intelligence (AI) has taken the spotlight in Data Sciences and Operations Research. As AI investment grows and becomes integrated into our financial systems, machinery, retail operations, supply chain and health, safety, security, environment (HSSE) systems, the complexity and risk increases. Terms like software factory, AI factory, data warehouses, and agile practices fill the literature to accelerate adoption of the complex efforts and risks of AI.

That said, a large percentage of AI deployments fail. This occurs from either moving too fast, too slow, or simply not moving forward at all. Many AI technologies are being deployed with uncertainty and no governing method or minimum standard guidelines needed to ensure success. Institutions and individuals are reacting to the allure of AI technology without creating a robust method of governance where the gap between business goals and technological innovation converge. A key to deployment discussions, often overlooked, is how to make sense of the enormous amount of unstructured data in image, video, audio, and text that has the highest value.

Session Outline:
This presentation explores:
- Why AI?
- Best practices from process to unstructured data
- Modeling technology across industry, academia, and government

Bio: 

Dr. Ben Amaba is focused on AI, IoT, Data, and Edge Computing. Ben received his Ph.D. in Industrial Engineering from the University of Miami. Dr. Amaba is a registered and licensed Professional Engineer with International Registry; certified in Production, Operations, and Inventory Management by APICS ®; LEED® Accredited Professional (Leadership in Energy & Environmental Design); and certified in Corporate Strategy by Massachusetts Institute of Technology. Ben holds a copyright and several patents. Ben earned his BS in Electrical Engineering as well as his Master's in Engineering/Industrial Management. Dr. Amaba holds positions as Board Member to the Oakland University Artificial Intelligence Research Center (OUAIRC), Founding member to the Institute of Advanced Systems Engineering, Founding member to the Center of Advanced Supply Chain Management, Industry Council Advisor for the Project Production Institute, Industrial Engineering Fellow, Board Member to the Council on Industrial and Systems Engineering (CISE), Executive Board Member of Applied Human Factors and Ergonomics (AHFE) and Editorial Board Member to IEEE (Institute of Electrical and Electronics Engineers) IT Professionals, and Editorial Board of The Open Cybernetics and Systemics Journal.

Open Data Science

 

 

 

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