The Practical Reality of AI and Large Language Models (LLMs) in Transforming Business Operations

In session five of our webinar series on AI and Search, panelists Seth Earley, Eric Linnemann, Patrick Hoeffel and Sanjay Mehta explored the transformative impact of AI and Large Language Models (LLMs) on business operations. The session covered practical applications of AI in customer service, decision-making, and operations, along with strategies for leveraging accurate data integration to enhance outcomes and avoid pitfalls. Featuring real-world insights and case studies, the discussion offered actionable advice for organizations aiming to innovate with AI. Topics Covered: Data Preparation and Quality Explored how clean, harmonized data ensures AI produces reliable, high-quality results. Information Architecture and Data Harmonization Explained the role of structured data and federated systems in powering effective AI and enhancing user experiences. Challenges in Moving from PoCs to Production Addressed common obstacles like poor data and alignment issues, offering solutions to scale AI initiatives. Measurement and Benchmarking Discussed KPIs and testing methods to validate AI's impact and drive continuous improvements. Use Cases for AI Projects Outlined the need for clear, actionable use cases to guide AI efforts and measure success effectively. Speakers Seth Earley CEO and Founder, Earley Information Science Patrick Hoeffel Managing Partner, Patrick Hoeffel Partners Sanjay Mehta Principal Architect, Earley Information Science Eric Immermann Managing Partner, Proficient