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Track: Analytics Process

Critical Steps in the Process for Data Analytics and Artificial Intelligence

Monday, April 12, 3:35-4:15pm EDT

Data analytics with artificial intelligence (AI) are revolutionizing outcomes. As executives, engineers, and practitioners, we apply classical methodologies, fundamental laws from physics, thermodynamics, statistics and probabilities. We have prototyped AI and machine learning techniques to solve problems that would have taken years and proved costly. Applications will use larger amounts of data, combining telemetry, signals, observations, historical events, and behaviors to improve integrity, quality, and accuracy. “Quality experts including Drs. Joseph M. Juran and W. Edwards Deming stress that the vast majority (85 to 94 percent) of the time, the answer is found in the processes are not up to the task of handling all the variations that exist in today’s business climate, and as a result, customer expectations are not met.” If AI projects follow earlier software project paths, we need better processes. The authors’ have converged industrial, systems and software methods enabling successful software-driven AI projects.

Ben Amaba image

Ben Amaba

Ben Amaba

Global Chief Technology Officer at IBM

Dr. Ben Amaba holds a PhD. degree in Industrial & Systems Engineering, a M.B.A./M.S. degree in Engineering and Operations, and a B.S. degree in Electrical Engineering. Dr. Amaba is a registered and licensed Professional Engineer in several states 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 in Cambridge, Massachusetts. He is responsible for industrial manufacturing, infrastructure, engineering, and supply chain solutions. Dr. Amaba is the Global Chief Technology Officer for the Industrial and Distribution Sector – Data And AI Expert Labs And Learning. Dr. Amaba’s focus and interest is in artificial intelligence, data analytics, software engineering, Industrial Internet of Things (IIoT), and cloud technology. Dr. Amaba holds a copyright for Process Activity Flow Framework®, the framework for requirements, design, architecture, simulation, and application development techniques. Dr. Amaba is prominently featured in “Giving 2.0,” by Laura Arrillaga-Andreessen with Stanford Business School, which details contributions to bolster and promote STEM education and careers, and is an Alexis de Tocqueville Society/United Way Member, which recognizes local philanthropic leaders. Dr. Amaba holds positions as Board Member to the Dearborn Artificial Intelligence Research Center (DAIR), 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, Board Member to the Council on Industrial and Systems Engineering (CISE), Board of Director of Whoop Wireless Corporation and RANCS Group LLC, Executive Board Member of Applied Human Factors and Ergonomics (AHFE) and Editorial Board Member to IEEE (Institute of Electrical and Electronics Engineers) IT Professionals, Editorial Board of The Open Cybernetics and Systemics Journal, and Executive Advisory Board Member to the University of Miami, University of Houston, University of Central Florida and Texas A&M.Sample Publications and Work B. Amaba, S. Gupta “The Evolution of Artificial Intelligence in the Automotive Industry”, Runner up for Best Paper. Proceedings of Institute of Industrial and Systems Engineering Conference for Lean Six Sigma, October 2020.B. Amaba, S. Bose, S. Lord, “A Novel Data Analytics Framework for the History Matching Problem for Reservoir Simulation in Up-Stream Petrochemical Industry”, IEEE SysCon 2020, April.B Amaba, V. Clark, D. Cross, M. McMahon, “Technology Changing the Future: Artificial Intelligence is enabling Manufacturing 4.0”, 75th Annual Instrumentation and Automation Symposium For the Process Industries January 2020.B. Amaba, P. Laplante, S. Sargolzaei, A. Sargolzaei, T. Ahram, J. Daniels, “Advancing Technology on a Systematic Platform Professionally”, IEEE Southeast Conference, Huntsville, Alabama, 2019.B. Amaba, S. Sargolzaei, A. Sargolzaei, M. Abdelghani, “Cloud-based Smart Health-care Platform to tackle Chronic Disease.” International Journal of Innovative Studies in Sciences and Engineering Technology, Volume: 2 Issue: 8, August 2016.B. Amaba, J. Daniels, A. Sargolzaei, “Industrial Control System Applications go Mobile in the Cloud.”, IEEE MetroCon, Dallas, Texas, 2015.P. Fechtelkotter, G. Bleakley, B. Douglass, B. Amaba, “Model-Driven Development for Safety-Critical Projects in Intelligent Energy.” Society of Petroleum Engineers 2013, Dubai, United Arab Emirates, October 2013.