UC’s Center for Business Analytics Renamed to Include AI Ahead of May 5 Summit
The University of Cincinnati's Center for Business Analytics and AI now reflects its expanded focus. Learn about its upcoming May 5 summit on AI readiness and data.

The University of Cincinnati's Center for Business Analytics now includes Artificial Intelligence in its name, reflecting the evolving integration of AI into business. This change precedes its annual summit, scheduled for May 5, which will focus on AI readiness and data foundations.
The Center for Business Analytics has officially adopted a new identity, becoming the Center for Business Analytics and AI. This renaming, housed within the Carl H. Lindner College of Business, directly reflects the established scope and extensive offerings the center already provides in both analytics and artificial intelligence (AI). The center's mission involves connecting academia with industry to empower professionals, enabling them to convert data into actionable insights for business transformation. This evolution acknowledges the critical role AI now plays alongside traditional analytics, enhancing the center's capacity to deliver cutting-edge solutions.
The Analytics & AI Summit, a flagship event for the center, will return on May 5. This annual gathering will take place at the Sharonville Convention Center in Greater Cincinnati. The summit aims to guide attendees through building robust data foundations essential for scalable and effective AI implementation. Organizations often find they cannot scale AI as quickly as planned due to inadequate data infrastructure. Keynote speakers for the event include Milen Mahadevan, President and CEO of 84.51°, and Ryan Rosensweig, Director of Business Strategy for Cloud & AI Platforms, Healthcare and Life Sciences at Microsoft. These leaders will offer insights into navigating the current AI landscape and highlight real-world applications.
The name change and the summit's practical focus underscore a broader industry shift toward integrating artificial intelligence into core business operations. The center explicitly bridges academic research and industry needs, equipping professionals with the knowledge, skills, and talent required to implement AI solutions. By updating its name, the center more clearly defines its expanded role in supporting businesses to accelerate transformations through AI and analytics solutions. This strategic evolution positions the center as a vital resource in the region, providing training and expert guidance on applied analytics, data visualization, and generative AI for business. The ongoing collaboration between academic experts and industry practitioners will continue to drive advancements and practical applications in the rapidly evolving fields of business analytics and AI.
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