Data Sciences & Artificial Intelligence Workshop

Dr. Ben Amaba’s expertise is in executive management, strategic planning, operations, and 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 and logistics solutions. Dr. Amaba is the Chief Technology Officer for the Industrial Sector –  Data Sciences and Artificial Intelligence Elite Team.

Mike McMahon is an AI and Data Science technical lead at IBM within the industrial sector and has worked at IBM for 3 years in a variety of technical roles with Analytic, Cloud, AI and Data Science solutions. As a member of the IBM AI and Data Science (DS) technical team within the industrial sector, Mike has led hands-on workshops, proof of concepts, demonstrations, and briefings and discovery workshops for AI & DS solutions based on the IBM AI & DS tools. Mike has over 20 years’ experience as a data / data warehouse developer, enterprise architect, manager, consultant, and team lead for information technology solutions. Mike has extensive manufacturing systems experience developing custom enterprise requirements planning components, shop floor production systems, near real-time reporting systems and optimization systems. Mike has earned an undergraduate degree from Limestone College with a BS in Computer Science / Business Administration. Additionally, Mike is a Navy Veteran, having served over 10 years in the Intelligence field.

Dale Mumper has a passion for problem solving, innovating, and teaching. From his education in Physics he learned how to analyze a problem and determine a plan for an optimal solution. Taking a broad view of an opportunity and incorporating disparate requirements and constraints into the outcome allows him to apply these techniques to the business and IT problem space.

Graziella is a Senior Data Scientist, ML Engineer and AI Evangelist in the IBM Data Science Elite Team. She works with clients globally helping them become successful on their Data Science journey. Before joining IBM, Graziella worked as Chief Data Scientist at dataVedik and previously as Project Manager and Lead Data Scientist for Subsurface projects at Schlumberger.