Analytics Creates Business Value in Safety and Sustainability (AIoTCoE Panel)
Session Abstract:
Speakers:
Gul Ege is the Senior Director in SAS IoT R&D leading the advanced analytical components innovation. She has BS, MS and PhD degrees in Industrial and System Engineering. She received her Ph.D. from Industrial and Systems Engineering at NC State University. She is a registered Professional Engineer in North Carolina. She has been in SAS Research and Development for 31 years. Over the years, she has worked on financial analysis, financial risk, forecasting and solutions for retail and manufacturing verticals. She has received the SAS CEO Award of Excellence and the NCSU- Industrial and System Engineering Distinguished Alumni award in 2011.
Michael Cavaretta is an Analytics Executive at Ford, having had multiple roles in Global, Insights, Data and Analytics (GDIA). Since joining in the organization 2015, he’s worked in connected vehicles, analytics infrastructure, customer data and manufacturing and the Industrial Internet of Things. In addition to leading analytics teams, he has managed large IT projects of $40M / year with 100+ direct reports. Before joining GDIA, he spent over 15 years applying data analytics to business problems as part of Research and Advanced Engineering. While there, he led multiple analytic projects across all areas of Ford, including sales and marketing, warranty and quality, manufacturing, and HR, saving the company hundreds of millions of dollars. Michael received his Ph.D. in Computer Science with a concentration on Artificial Intelligence and Machine Learning from Wayne State University.
Pooja Dewan is the Vice President and Chief Data & Analytics Officer for Otis Elevator Company. In this critical role, she leads the company’s data science and analytics capabilities, identifying opportunities to accelerate growth and efficiency. She is responsible for driving the data and analytics vision, strategy, and execution. She owns the Otis data management roadmap driving sustainable business growth and profitability, as well as internal efficiencies through improved data structures, constant data cleanliness and insight, and efficient data governance and processes. Prior to this role, Pooja spent more than 20 years at BNSF Railway where she served as the Chief Data Scientist. There she led the Operations Research and Advanced Analytics group for 16 years. Her team received international recognition through an INFORMS award as the Best Advanced Analytics Team in 2019. Pooja has been a member of INFORMS (Operations Research Society) since 1993. During this time, she led several initiatives offered by INFORMS, including the Edelman competition, and she has also been instrumental in championing activities that help bridge the gap between academia and real-world application. Pooja earned a master’s and doctorate in industrial engineering from Pennsylvania State University. She is also the author of several research publications in various scientific journals.
Ivan Oliveira leads Surface Research Science at Amazon Transportation Services, where his team develops methods, models, and algorithms to solve large industrial logistics and transportation problems. His team develops AI/ML and operations research tools to tackle problems in vehicle routing, planning, safety, and sustainability. Ivan started his career at Intel Corp., where he led development of optimization algorithms for VLSI circuit design. Ivan then moved to SAS Institute, where he founded the AIML COE, for solving business optimization and machine learning problems with specialized technical consulting and research for several Fortune 100 companies in the areas of inventory optimization, pricing and revenue management, logistics, and applications of computer vision and object detection. During this period, Ivan also served as Adjunct Assistant Professor at Elon University’s School of Business, where he taught in optimization and operations research. Ivan currently serves on the INFORMS Analytics Collections (IAC) Board, and previously served as INFORMS Prize Judge. Ivan holds patents in areas of analytics, inventory optimization, object tracking, and vehicle routing.
Dr. Scott Gerard is a Certified Senior Data Scientist with experience in AI/ML, AIoT, knowledge graphs, NLP, and deep learning. At IBM, he was a senior leader in IoT, Eldercare Research, Watson for Financial Services, and Talent Acquisition. He applied AIoT principles to convert low-level sensor readings to high-level patterns of human behavior. He now independently consults with clients who need AI/ML leadership.
Dr. Michelle Hernandez is a Professor of Pediatrics in the Division of Allergy & Immunology at the University of North Carolina Chapel Hill School of Medicine. Dr. Hernandez is the Director of the NC Child Health Research Network and Faculty Director of the Clinical Research Unit for the UNC Children’s Research Institute. Dr. Hernandez’s clinical work is focused on the diagnosis and treatment of difficult-to-control asthma across the lifespan. She is funded by the NIH and the NSF to identify novel interventions for difficult-to-treat asthma, including the use of mobile health technology for early detection of asthma exacerbations. She also leads a pediatric specialty care telehealth program within the NC Children’s Hospital and has partnered with rural primary care clinics in NC to increase access to virtual specialty care appointments throughout the state.