Schedule and Session Info

The Culverhouse Business Analytics Symposium, presented by the Institute of Data & Analytics, serves as a dynamic intersection between industry and academia.

This premier event brings together professionals from both areas to create a collaborative environment where knowledge and expertise are shared. The symposium showcases current analytic practices used in various industries and highlights the latest methodological advances developed within academic research.

New for 2024 are pre-Symposium workshops and panels on Thursday, October 3. See below for more details.

Drug Data Research Center Presentation Schedule

Learn more about the IDA’s Southern Regional Drug Data Research Center (DDRC), funded by the United States Department of Justice’s Bureau of Justice Assistance to help communities across the Southeast combat the opioid crisis.

Registration for these sessions is separate from the Symposium and not required. Let us know you’re coming or interested in finding out more about the DDRC!

October 3, 2024
Time Session Title
9:30 – 10:00 Morning Refreshments
10:00 – 10:45 Accessible Drug Data to Drive Contextualized Decision-Making: Introduction to the Southern Regional Drug-Data Research Center (DDRC)
10:45 – 11:00 Break
11:00 – 11:45 Harnessing DDRC Data: Practical Applications, Interactive Visualizations, and Research Opportunities
11:45 – 1:00 Afternoon Refreshments
1:00 PM – 3:00 PM Principles of Data Visualization Workshop
3:00 PM – 4:00 PM Panel Session: Industry & Academic Applications of Generative AI
4:00 PM – 5:30 PM Reception/Mixer


Session One: Accessible Drug Data to Drive Contextualized Decision-Making: Introduction to the Southern Regional Drug-Data Research Center (DDRC) In this session, discover the new Southern Regional Drug Data Research Center (DDRC), a centralized data repository focused on opioid and drug data across 17 states in the southern half of the US: Alabama, Arizona, Arkansas, Colorado, Florida, Georgia, Kansas, Kentucky, Louisiana, Mississippi, Missouri, New Mexico, North Carolina, Oklahoma, South Carolina, Tennessee, and Texas. Learn about the DDRC’s mission to consolidate information, provide resources to communities, and serve as a central hub for data analysis and knowledge dissemination. We will explore the DDRC’s data frameworks and underlying theories, demonstrating how it integrates and analyzes drug data to support evidence-based decision-making, promote contextualized knowledge, optimize resource allocation, and inform public policy and community interventions.

Session Two: Harnessing DDRC Data: Practical Applications, Interactive Visualizations, and Research Opportunities Dive into the practical side of the DDRC with this detailed session. Discover the range of data currently available through our platform and see how it is presented using interactive visualizations created with Power BI. This presentation will showcase the user-friendly tools designed for public engagement and demonstrate how researchers and the public can utilize this data for studies and informed decision-making. Learn about real-world applications and the potential impact of DDRC’s data on addressing drug-related challenges.

Pre-Symposium Workshop and Panel

October 3, 2024

Workshop: Data Visualization Principles
In this 2-hour workshop, participants will gain a foundational understanding of data visualization principles and techniques. This session will cover which types of visualizations are appropriate for various types of data. Attendees will get hands-on experience with popular data visualization tools, learning how to transform raw data into insightful resources to support strategic decision-making. By the end of the workshop, participants will be equipped with the skills to create compelling visualizations that enhance data interpretation and communication.

Panel Discussion: Industry and Academic Applications of Generative AI

Generative AI is a branch of artificial intelligence that creates new data from training data. In recent years, we have seen dramatic advancements in the technology across numerous domains, such as natural language processing, computer vision, audio synthesis, and more. In this panel session, we will explore the opportunities and challenges of this cutting-edge technology in industry and academics.

    • Topics/Questions
      • What are some of the current and emerging use cases of generative AI in your work?
      • What are some of best practices and/or frameworks for developing and evaluating generative AI models and systems?
      • What are some of the technical and ethical challenges and risks of generative AI, such as data quality, privacy, security, and error rates?
      • What are some of the open research problems that might be solved with generative AI?
      • How can academia and industry collaborate on this technology?
    • Panelists
      • Academic:
        • Dr. Robbie Moon, Thomas Williams-Wells Fargo Professor in Management, Georgia Technological Institute.
        • Dr. James Cochran, Mike and Kathy Mouron Endowed Chair of Business, University of Alabama
      • Industry:

Culverhouse Business Analytics Speakers

October 4, 2024

Schedule

7:00 – 8:00 AM | Registration and Light Breakfast

8:00 – 8:15 AM | Welcome

Jason Parton, Director, Institute of Data and Analytics / Associate Professor of Statistics

Kay M. Palan, Dean, Culverhouse College of Business

8:15 – 9:00 AM | HARNESS THE POWER OF MEASUREMENT AND ANALYTICS TO DRIVE PROFITS

Janneke van Geuns, Head of Measurement & Analytics, Financial Services, Google

Complex problems, siloed departments, and lots of data make it difficult to make the right decisions. This is why Google and its customers embrace the power of measurement and analytics.

9:00 – 9:15 AM | transition

9:15 – 10:00 AM | DRIVING VALUE WITH DATA ANALYTICS

Charles Villarreal, VP, Director of Data Analytics, City Bank

Data is undisputedly one of the most valuable assets in business. The advanced analytics toolbox continues to expand at an incredible speed. Yet businesses consistently struggle to derive value from their data & analytics programs. This talk will explore how to drive business value with data & analytics by way of a systems thinking approach.

10:00 – 11:00 AM | Poster Session – Sponsored by Lockheed Martin

11:00 – 11:45 AM | OPEN SOURCE ANALYSIS

Ryan M. McKeon, Director, Office of Analytics, U.S. Department of State, Global Public Affairs

I will discuss the importance of open source information, how we gather it, and how our analysts use it to derive insights that improve senior decision makers’ understanding of events around the world.

11:45 AM – 1:00 PM | Lunch

1:00 – 1:45 PM | DELIVERING ARTIFICIAL INTELLIGENCE AT LOCKHEED MARTIN

Lance Roth, AI/ML Manager, Lockheed Martin Artificial Intelligence Center

Building AI solutions is hard. At Lockheed Martin, we are staying ahead of ready by applying artificial intelligence technologies and platforms to succeed in our customers’ mission. The Lockheed Martin Artificial Intelligence Center (LAIC) is setting the standard by being both the center of excellence and foundation for AI across the enterprise. The LAIC is providing the AI infrastructure, upskilling, and custom solutions that accelerate core competencies that are both inward and outward facing.

1:45 – 2:00 PM | transition

2:00 – 2:45 PM | GENERATIVE AI: DIGITAL DISRUPTION OR DIGITAL DISTRACTION?

Krishna Cheriath, VP & Head of Digital Data and Analytics Zoetis

Since the advent of ChatGPT and the rapid acceleration of Large Language Models, Generative AI is at the peak of its hype cycle. Among the tech experts there are AI optimists and AI pessimists. There are those who are excited about the potential for creation of new business models, new ways of doing things and unlock further human productivity and creativity. But there are others who worry about the disruption and the displacement of the workforce, and the ethical and moral implications. This talk will focus on unpacking Generative AI, the potential, the risks and what are the essential building blocks that an organization will need to get right as the embark on a Generative AI journey.

2:45 – 3:00 PM | transition

3:00 – 3:30 PM | Awards AND Closing Remarks

Margaret Mason

Brian Lamkin

Turning Information Into Relevance

Cameron Jagoe

The Certain Business Case for Analytics during Uncertain Times

Raja Chakarvorty

Data Science Profession: Required Skills and Its Usage in Insurance Sector

Bart Masters

Data Science at Greenlight: Growing with our Families

Dr. Rubina Ohanian

Ryan Anderson

Building the Intelligent Supply Chain

Dr. Erik Johnson

Using Analytics to Detect Blight and Enforce Codes in Cities

Octavio Flores

Value Driven Data and Advanced Analytics Strategy

Krishna Cheriath, VP & Head of Digital Data and Analytics, Zoetis

Since the advent of ChatGPT and the rapid acceleration of Large Language Models, Generative AI is at the peak of its hype cycle. Among the tech experts there are AI optimists and AI pessimists. There are those who are excited about the potential for creation of new business models, new ways of doing things and unlock further human productivity and creativity. But there are others who worry about the disruption and the displacement of the workforce, and the ethical and moral implications. This talk will focus on unpacking Generative AI, the potential, the risks and what are the essential building blocks that an organization will need to get right as the embark on a Generative AI journey.

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