Session Abstract:
We will review different use cases from Manufacturing, Oil&Gas, Transportation and how anomaly detection has been critical to creating business value. We will discuss the challenges, the successes, and the learnings based on panelists experiences.
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.
Kim Liddle – Senior Director, Manufacturing Analytics within the Global Data Insights & Analytics (GDIA) organization at Ford Motor Company. In this role, Kim leads a global team to deliver innovative data and analytics solutions with speed, scale and quality, leveraging Generative AI and the latest cloud technologies. Kim is a dynamic technology leader who partners with the business, has strategic vision and the political savvy to successfully collaborate across organizational boundaries. Kim has spent 28+ years in automotive marketing & sales, manufacturing, analytics, and IT audit with extensive experience managing large scale software delivery projects exceeding $30M/year with 250+ direct reports. She holds a BSE in Industrial & Operations Engineering from University of Michigan and an MBA in Information Systems Management from Wayne State University. On a personal note, Kim has been married for 24 years with two sons currently attending Michigan State University and the University of Michigan. She is an avid golfer and loves to travel.
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.
