This event has two options for registration: a one-day symposium with industry speakers on Friday, October 4th, OR the symposium, PLUS a 2-hour Data Visualization Principals Workshop and panel discussion, "Industry and Academic Applications of Generative AI," on October 3rd.

October 3:

Workshop: Data Visualization Principles
Panel Discussion: Industry and Academic Applications of Generative AI

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.

October 4:

Business Analytics Symposium

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. Attendees will benefit from a series of keynote speeches, panel discussions, and interactive sessions that cover a wide range of topics. In addition, the symposium offers extensive networking opportunities. Attendees can connect with hundreds of other data-driven individuals, engage with students from our leading academic programs, and foster collaborations that bridge the gap between academia and industry. This event is an invaluable platform for exchanging ideas, discovering new trends, and building professional relationships that can lead to future innovations and advancements in the field of business analytics.

Learn more about the symposium on its website: https://ida.culverhouse.ua.edu/basymposium.