SAS® Analytics Day

Invitation Only

The SAS® Analytics Day is an invitation only conference that brings national and regional speakers to share their expertise and knowledge to the Oklahoma business and analytics community. Since 2004 OSU and SAS®, a leading provider of business analytics software, have partnered to offer analytics and data mining programs.

Conference Information

Date: May 3, 2024

Location: Wes Watkins Center - OSU Stillwater

Featured Speakers

• Dr. Goutam Chakraborty, Spears School of Business

• Brian Griffin, Paycom

• Dr. Dmitriy Khots, Notified

• Mary Osborne, SAS

• Beau Rollins, Devon Energy

• Heath Satterfield, Devon Energy

Program Information

• Agenda

  Time	Session and Speaker	Topic Discussions
  8-8:30 a.m.	Registration and Continental Breakfast
  8:30-8:45 a.m.	Conference Opening and an Overview of M.S. in Business Analytics and Data Science   Dr. Goutam Chakraborty, SAS professor in Marketing Analytics, Director, Master of Science in Business Analytics and Data Science, Spears School of Business, Oklahoma State University
  8:45-9:10 a.m.	It takes a Village to Deploy a Model - Brian Griffin, Sr. Manager of Data Science, Paycom	Congratulations, you built a model and now it is time to deploy it to production! Now what? We’ll discuss key considerations for preparing for a production deployment. Then we’ll get acquainted with the teams that we’ll collaborate with on the way to production to understand the roles they play in the process.
  9:10-9:15 a.m.	Q&A
  9:15-9:40 a.m.	Dr. Dmitriy Khots, VP Strategic Analytic Insight, Notified	Notified is pioneering adoption of Generative AI technologies within Public Relations and Investor Relations markets. For Public Relations, Notified patented Smart Press Release platform which aims to revolutionize the way that press releases are created, distributed and measured – helping communicators to amplify stories quickly and effectively. For Investor Relations, Notified patented AI enabled Earnings Call Coach which aims to empower Investor Relations (IR) teams to tell their investment story more effectively by analyzing trends, predicting questions, and grading the performance of past and planned capital markets communications. Internally, we’re exposing the use of Large Language models to help drive efficiencies for internal colleagues thru secure private tenant deployments.
  9:40-9:45 a.m.	Q&A
  9:45-10:10 a.m.	Empowering Professionals with AI: LLMs in Oil and Gas Heath Satterfield, CIO, Devon Energy Beau Rollins, Data Science Advisor, Devon Energy	Large Language Models (LLMs) are one of the most rapidly developing technologies in recent memory. Their explosion into the world over the last 18 months is nothing short of remarkable, but what value can they provide the businesses that are consumers of this technology? Our presentation will explore three different patterns of LLM utilization, each providing a unique business value.
  10:10-10:15 a.m.	Q&A
  10:15-10:30 a.m.	Coffee Break
  10:30-11:30 a.m.	Student Posters: Networking Break
  11:30 a.m.-12:15 p.m.	Keynote Speech: How AI became Generative and the ways Interdisciplinary Work Fuels Innovation - Mary Osborne, Visual Text Analytics Product Manager, SAS	This talk explores the contributions of 20th century luminaries from many disciplines whose innovations paved the way for today's generative AI technologies. I will share how the same interdisciplinary mindset is being used at SAS to build AI systems that augment human intelligence in a trustworthy way.
  12:15-12:30 p.m.	Welcome from OSU Spears School of Business and Best Student Awards
  12:30-1:15 p.m.	Lunch
  1:15-2:45 p.m.	Harnessing AI - Panel Discussion with recent OSU alums in those professions   Moderated by Ramcharan Kakarla  Panelists: Anirud Reddy Vem, Tejaswi Maruthi, Abhi Pannala, Noreen Chihora	Discover how AI is being used in various industries. Learn about their challenges, compliance and ethical concerns. Explore topics including transparency, bias mitigation and how responsible practices can build trust with users and ensure fair and equitable moderation outcomes.
  2:45-3 p.m.	Conclusion

• Speaker Biographies

  Speaker Name	Biography
  Noreen Chihora	Noreen Chihora is a data scientist who specializes in healthcare data. Her passion in data science is an extension of her deep rooted love for mathematics from an early age. Outside of work she enjoys traveling and trying new hobbies.
  Brian Griffin	Brian Griffin, Paycom’s senior manager of data science and intelligence, has over 20 years of leadership experience, building winning teams across the spectrum of data science, business analytics, data engineering and software development.  Through his leadership, Grinnin has helped build data-oriented solutions that drive business value and provide significant improvements to products, services, and internal operations. Passionate about growing the next generation of data practitioners, Griffin serves on the OSU Master of Science in Business Analytics and Data Science Advisory Board and frequently participates in conferences and case study competitions held by universities across the region.
  Ramacharan Kakarla	Ramcharan Kakarla is a passionate data science and artificial intelligence advocate with 10+ years of experience. He is currently working as principal machine learning engineer at Altice USA. Prior to Altice he has lead AI solutions in JP Morgan Chase and Comcast. He has published multiple papers and posters including book “Applied Data Science Using Pyspark”.
  Dmitriy Khots	Dmitriy Khots is Vice President of Strategic Analytic Insight at Notified where he oversees corporate data strategy, governance, engineering, management, BI, AI and ML services as well as back-office engineering. Dmitriy serves on the corporate advisory board for Oklahoma State University Business Analytics & Data Science Program and Mark Cuban Foundation AI Bootcamp Program and holds a Ph.D. in mathematics from University of Iowa. He is a prolific writer with five patents and 40+ publications in theoretic and applied fields of math, data mining, and stats. Dmitriy is a member of AMS.
  Tejaswi Maruthi	Combining her love for math and art, Tejaswi Maruthi is a versatile data scientist known for blending analytical rigor with creative flair. With a keen eye for detail and a deep understanding of business dynamics, she navigates the multifaceted realm of experimentation, where precision meets innovation. Beyond Data science, she finds inspiration in the worlds of fashion design and horse riding.
  Mary Osborne	Mary Osborne is a natural language processing and generative AI enthusiast who shares her passions for human language by managing the natural language processing portfolio at SAS and teaching computational linguistics at Duke University. With over 25 years of experience helping organizations adopt and gain value from analytics, she's excited to be involved in shaping the next generation of artificial intelligence.
  Abhi Pannala	Abhi brings diverse experience, transitioning from a background in machine learning engineering to his current role as a Senior Data Scientist at Apple Store. His expertise centers on leveraging data science to drive maximum impact.
  Anirud Reddy Vem	Anirud is a seasoned data scientist with a robust background in engineering and physics. He currently excels as a data scientist at a leading healthcare firm, where he has been leveraging deep analytical skills to drive innovation and improve patient outcomes. Previously, he applied his expertise in software development to impactful roles in manufacturing and healthcare.
  Beau Rollins	Beau Rollins is a Data Science Advisor at Devon Energy. For 15 years, he has worked with technical teams and leadership to find innovative solutions to diverse business problems.  Beau has a Bachelor of Science in Management Information Systems and Ethics from Mid-America Christian University and a Master of Science in Analytics from Texas A&M University.
  Heath Satterfield	Heath Satterfield is a seasoned technology leader with 25 years of experience. He currently holds the position of Chief Information Officer at Devon Energy, where he oversees the technology teams responsible for shared technology, data management/platforms, integrations, and all supporting business functions to Devon’s core E&P business. Prior to this role, Heath held several leadership positions at Devon, including in Technology, Supply Chain, Project Management, Continuous Improvement, and Operations. Before joining Devon, Heath worked as a consultant for public and private sector clients on information security. He earned a Bachelor of Science degree in Management Information Systems from Oklahoma State University and an MBA from Oklahoma City University. Heath is also actively involved in the community, serving on the boards of Special Care, Inc and Goodwill of Central Oklahoma.

• Policies
  Review the CFW program policies. All programs presented by the Center for the Future of Work are subject to these policies.