Session Abstract:
This panel will discuss different use cases from different domains benefiting from computer vision techniques in creating business value. The use cases include examples from oil and gas, medicine, predictive maintenance, and others. The panel will discuss the challenges and business outcomes.
Speakers:
Dr. Gül Ege, is the Senior Global Director for SAS IoT Research & Development (R&D), leading advanced analytical components innovation for SAS’ global customer and partner stakeholders. Dr. Ege leads a team of world-class scientists, helping SAS customers and stakeholders solve complex, real-world problems. Dr. Ege has held positions of incremental responsibility within SAS R&D for over 34 years. She has significant expertise in high-value vertical markets; having led projects in Finance, Risk, Retail, Energy and Manufacturing over the course of her career. Dr. Ege holds a B.S., M.S. and Ph.D. in Industrial and Systems Engineering. She received her Ph.D. from NC State University and is a registered professional engineer in the State of North Carolina. A celebrated career engineer and scientist, she has been awarded the SAS CEO Award of Excellence and the NCSU Industrial and System Engineering Distinguished Alumni Award. As an IoT and AI industry leader, Dr. Ege holds leadership positions at several industry organizations and associations, including as Chairperson of the NCSU-ASSIST Advisory Board and as an Advisory Board Member of both NCSU-CARTA and the IoT Community–where she holds the position of Chairperson on the Artificial Intelligence of Things Center of Excellence (COE). She is also a proud member the INFORMS-Edelman Committee and SIGKDD. Dr. Ege is passionate about mentoring, with a particular focus on supporting young women in STEM and empowering junior team members. She lives in Cary, North Carolina and enjoys spending time with her family, especially her two young grandchildren and devotes her free time to causes benefitting the well-being of women and children.
Keith R. Holdaway, Chief SAS Global O&G industry consultant, provides customers with consulting expertise based on 14 years of experience as a geophysicist for ARCO, BP, Shell and seismic service companies. He graduated with degrees in geology and geophysics. His work with the Ministry of Petroleum in Saudi Arabia, BP in the UAE and Shell in the Sultanate of Oman, provided Holdaway with a wealth of experience processing and interpreting E&P data. He also worked on a seismic data acquisition field crew as the chief geophysicist. His work at SAS spans 23 years, including 10 years as a software developer in R&D where he focused on developing SAS C/C++ compilers and middle-tier Java applications. The most recent 13 years sees Holdaway develop soft-computing models with ML/DL techniques across E&P. He applies methodologies for asset performance analysis in upstream, midstream, and downstream sectors. He now works in a global IoT group as the head of business development for SAS Global O&G customers, designing architectures for edge computing and real-time sensor data-driven analysis. He has authored 2 SAS/Wiley books on big data analytics in O&G, focused on geophysical and petrophysical AI models. Additionally, he has published 12 SPE technical papers that detail ML/DL workflows. He holds 16 global patents in drilling/completion and petrophysics. As an active member of the Society of Exploration Geophysicists, the European Association of Geoscientists and Engineers and the Society of Petroleum Engineers, he regularly talks at international conferences. Holdaway is also a Fellow of the Geological Society of London.
Audrey Reznik is a Sr. Principal Software Engineer in the Red Hat Cloud Services – OpenShift Data Science team focusing on managed services, AI/ML workloads and next-generation platforms. She has been working in the IT Industry for over 20 years in full stack development to data science roles. As a former technical advisor and data scientist Audrey has been instrumental in educating data scientists and developers about what the OpenShift platform is and how to use OpenShift containers (images) to organize, develop, train and deploy intelligent applications using MLOps. She is passionate about Data Science and in particular the current opportunities with ML and Open Source technologies.
Megan Armani, PhD, is a distinguished expert in Bioengineering with a specialized Ph.D. and over eight years of experience in the integration of machine learning in healthcare, drug discovery and genomics. Currently serving as the Principal AI/ML Scientist at Oracle’s Health Innovation Division, Dr.Armani leads the development and deployment of groundbreaking AI models that enhance patient diagnostics and treatment strategies, and advancing multi-omics data analysis and predictive modeling. Previously at ThermoFisher Scientific, Megan developed innovative algorithms that significantly improved clinical sequencing processes. A proven leader, Megan is passionate about leveraging AI and modern technologies to tackle critical challenges in genomics and drug discovery, enhancing patient care through technological innovation. Megan’s contributions to scientific communication and her strategic advisory roles underline her commitment to advancing healthcare solutions.
Pooja Dewan – 2022& 2023 Top 100 D&A leader l ex-CDAO @Otis Elevators, BNSF Railway
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