Analytics Summit

Held in the spring, this flagship event brings internationally-recognized speakers from notable organizations to Cincinnati to present on a wide variety of analytic topics.

2024 Analytics Summit: April 30

Join us April 30, 2024, at the Sharonville Convention Center for a full day focused on "Real World Applications of Business Analytics." Learn from two outstanding keynote speakers and pick from a selection of five topic- and industry-focused track sessions with three speakers in each.

Contact Larry Porter for details on sponsorship, proposals and more.

Thornton May

Futurist and Author at The Digital Value Institute

"Analytics & YOUR Future"

As the opening keynote, Thornton will answer “What can you, a proud member of the University of Cincinnati “analytics community” do TODAY to ensure that thirty years from now YOU will have realized the full promise of YOUR amazing potential?” Analysts are the hidden super-heroes of our collective future. It’s time to celebrate how WE are going to change the world

Richard Harknett

UC Ohio Cyber Range Institute

“Algorithmic Agency: Organizational Adaptation in a World of Fluidity”

His closing keynote will talk about how it’s not about the code or the data collection itself, but the role and responsibility you assign algorithms (including artificial intelligence, or AI) in your organization. His keynote will give an overview of the uneven regulation that applies in this area which is coming in fits and starts, but will also argue that this will only partially impact how your organization adapts and leverages these opportunities in the future.

Tools and Techniques

Leading the Way

This track focuses on innovative approaches for strategy, foresight, leadership, and organizational development needs to support data and analytics. Topics could include research, innovation, collaboration with industry and institutions, or policy and decision-making.

Speakers: 

  • Kelly Cohen, Brian H Rowe Endowed Chair and Director, AI Bio Lab, Digital Futures.
    "Towards an AI Future which is Responsible and Ethical"
  • Mehmet Saglam, Johnson Associate Professor of Finance, University of Cincinnati
    Title TBA
  • Additional speaker to be announced
The AI Revolution

The AI revolution encompasses the rapid development and deployment of AI-powered systems and applications that have the potential to significantly change how we live, work and play. This track considers the transformative impact of artificial intelligence technologies on various aspects of industry, institutions, and everyday life. work, and interact.

Speakers:

  • Michael Howard, CEO, Nichefire
    "Predicting the Pulse of the World: Understand Culture with Generative AI & Predictive Analytics"
  • Satoru Hayasaka, Data Scientist, Knime
    "LLMs In a Low-Code Environment – Is it Possible?"
  • Kristy Wedel, Senior Manager Data Science, Abbott
    "The Future of AI: A Roadmap for Ethical and Accountable Artificial Intelligence"
Tell the Story

This track contemplates how using data and visualizations to communicate a compelling narrative about key insights is the way to convey complex information in a way that is easily understandable and engaging for the audience. Topics could include data visualization, storytelling and related.

Speakers:

  • Alexandra Castillo, Vice President and Chief Data and Analytics Officer, UC Health
    “Prescribing Insights: A Data-Driven Tale in Healthcare Storytelling”
  • Christopher Chin, Data Storytelling and Presentation Trainer, The Hidden Speaker
    "Data Storytelling is Hard: Let AI Make It Easy"
  • David Ciommo, Data Visualization Principal, Humana
    "Data Storytelling: The Cognitive Journey to Data Literacy"

Industry

Data and Analytics Essentials in Industry

This track considers how data analytics has become an essential tool for the industry, offering valuable insights that help operators optimize operations, understand customer behavior, and improve overall business performance.

Speakers

  • Vivek Anand: Director, Advanced Analytics, Gap Inc
    "Machine Learning Applications in B2B Price/Revenue Optimization"
  • Nan Jararam: CEO and Founder, CoStategix & Jeremy Henry: Vice President of Technology, CoStrategix
    "Proactive Data Quality Management with Anomaly Detection Models"
  • Financial Panel: Rob Carnell, Huntington Bank, Shanna Anderson, Fifth Third Bank, Additional Panelist TBA

Leadership/Organizational Effectiveness

Digital Transformation Through Analytics

What does it take to drive the organizational transformation necessary to become a data-driven enterprise? This track has leaders talking about how to build and execute a Data & Analytics strategy. – staffing, organizing, training, technology platforms, data engineering, cross-functional collaboration, etc.Are you a data leader, data scientist, analyst, or engineer with a passion for sharing your knowledge?

Speakers:

  • Dave Cherry, Executive Advisor, Cherry Advisory
    Title TBA
  • Sarah Denman, Vice President, Data Science-Merchandising Analytics, 84.51
    Title TBA
  • Brandon Lee, CEO, Fistbump
    Title TBA

Partner with Us

The Analytics Summit is a great opportunity to share your expertise with a large audience of professionals who are eager to learn from you.
  • 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 Analytics Summit

The 2023 Analytics Summit was held May 2 at the Sharonville Convention Center. The event hosted prominent industry speakers who covered topics from artificial intelligence (AI) and ChatGPT to data analytics for social change, including:

  • Christina Qi, Databento, "2023:  Fantastic Machines and How to Tame Them."
  • Xiao-Li Meng, Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, “Being, Training, and Employing Data Scientists:   Wisdoms and Warnings from Harvard Data Science Review.”