Event is closed by invitation only. 

Dive into the next installment of the Digital Frontiers Seminar at UConn Stamford, featuring “AI and Security: Navigating Opportunities and Risks.” Spearheaded by Stephen Fitzgerald, Academic Director of the Analytics and Information Management Program within the Operations and Information Management Department, this session aims to untangle the complexities of AI in the business sector, emphasizing the balance between innovation and risk.

Fitzgerald’s presentation will provide an in-depth look at the AI business landscape, focusing on the integration’s potential benefits and pitfalls. Tailored for industry professionals and business owners, the seminar outlines strategies for secure AI adoption, covering technology basics, strategic implementation, and risk management. Attendees will gain actionable insights into leveraging AI for growth while navigating the associated legal and operational risks, preparing them for the challenges and opportunities ahead.

Centered on fostering interactive dialogue and networking, this session offers a catered lunch. Please ensure you register by Wednesday 4/10 at 3PM, allowing us to accurately prepare for the number of attendees.

This non-credit course is an intensive one-day training session led by Dr. Wei Chen of the UConn School of Business OPIM department. In his role as Academic Director of the CT Information Technology Institute he has designed this course to equip participants with the knowledge and skills needed to leverage generative AI and Large Language Models (LLMs) in business contexts. This course will delve into the core mechanisms of generative AI, focusing on Large Language Models (LLMs). Participants will explore advanced techniques in prompt engineering, retrieval augmented generation (RAG), fine-tuning LLMs, and ensuring the ethical use of AI technologies. The curriculum balances theoretical knowledge with hands-on exercises, enabling participants to apply generative AI innovations to real-world business challenges effectively. By demystifying the complexities of LLMs, this course aims to empower learners to leverage these powerful models for creating innovative solutions and navigating the dynamic landscape of generative AI with confidence. For registration and course details, visit: https://s.uconn.edu/genai-training