Data Science Symposium

Data Science Symposium 2024: October 11

Held in the fall, the Data Science Symposium provides a forum for experts to provide deep-dive relevant perspectives on a wide range of topics and tools in data science. This event typically features multiple keynote speakers as well as hands-on tutorials and technical talks.

Call for Speakers

Are you a data leader, data scientist, analyst, or engineer with a passion for sharing your knowledge?

We invite you to submit a speaking proposal for the 2024 Data Science Symposium. This event is a great opportunity to share your expertise with a large audience of professionals in the form of a business case study, analytics solution or technical presentation, along any of the following topics:

  • Current issues in data and analytics
  • Analytics leadership
  • Analytics case studies and solutions in all industries
  • Data management/Data science/Artificial intelligence/Machine learning
  • Analytics tools (BI, Data Visualization  Cloud, Python, SQL and more)

Submit a speaker proposal by emailing Larry Porter.

Past featured speakers include:

  • John Bossert, Google
  • Michael Thompson, P&G
  • Kevin Werbach, Wharton School, University of Pennsylvania
  • Andy Kriebel, Facebook
  •  Joe Blue, MapR
  • Kirk Borne, DataPrime, Inc

Companies presenting technical & analytics case studies include Amazon, Disney, Great American Insurance, Macy’s, Elder Research, Kroger, Fifth Third Bank, MadTree Brewing, Cincinnati Reds, FICO, US Bank, P&G, Google,  84.51, Cincinnati Reds, IBM, Humana, Cincinnati Children’s Hospital, NetJets and many more.

Technical Talks can range from tutorials on various data and analytics tools to applying  data science, data engineering, analytics cloud technology, machine learning, artificial intelligence and more in organizations.

Partner with Us

Our conferences are a great opportunity to share your expertise with a large audience of professionals who are eager to learn from you. Whether you have a business case study, analytics solution or technical presentation, we want to hear from you.
  • Submit a speaker proposal: We are open to submissions from analytics experts and trainers who would like to speak at our events.
  • Sponsor: We are seeking event sponsors who want to connect with the analytics and data science leaders and professionals who attend our events. Several sponsorship options are available.
  • Participate: Are you a startup technology, analytics, machine learning or AI company? Contact us to learn how you can participate in these events.

To inquire about any of the above, contact Larry Porter.

2023 Data Science Symposium

The 2023 Data Science Symposium was held October 9 at the Lindner College of Business. Featured speakers included:

  • Prasanth Southekal, DBP Institute, "Can Data be a Liability to an Organization? 5 Key Strategies to Convert Data into a Business Asset."
  • Nan Li, Nationwide Insurance, “Optimizing Your Data Science Teams."
  • Shashank Jindal, Amazon, "Pricing/Retail Analytics."

Read the recap and view track session content below.

Track Session content

  • Nicholas Flores, GE Aerospace, "Large-Language Models: Challenges and Opportunities in Business Use."
  • Steve Honkomp and Eric Mullins, Procter and Gamble, "Leveraging KNIME for Rapid Business Insight Development."
  • Dave Ramsey, Macys, "Quantifying the Unmeasurable—Method for Measuring Pilot Program Impact."
  • Ethan Swan, Review Trackers, "Programming with AI: How LLMs are changing the way we write code."
  • Jason Tang, Cover MYMeds, "Transforming How We Make Forecasts at Scale."
  • Gabe Welp, Amend Consulting, "Power BI with some useful Power Automate Hooks."
  • Nick Woo, AlignAI, "Measuring the value of AI solutions - How enterprise teams are quantifying impact by focusing on adoption, adherence & ROI."
  • Vinny Veschi, 84.51, "Creating a Better E-commerce Search Experience with Semantic Search."