Enterprise AI adoption has reached a critical inflection point—78% of organizations now use AI, but only 26% have moved beyond pilots to production-scale deployment. This session examines how leading companies like JPMorgan Chase, BMW, and Mayo Clinic are building internal AI capabilities that deliver measurable business value while maintaining data security and regulatory compliance.
We’ll explore the “5 W’s” of in-house ChatGPT implementation: who’s succeeding (and who’s struggling), what these systems actually look like architecturally, when organizations achieve ROI, where they’re being deployed across industries, and why companies are investing $13.8 billion annually in enterprise AI despite significant implementation challenges.
Attendees will leave with practical insights on RAG architectures, multi-model strategies, governance frameworks, and real-world implementation patterns based on documented successes from Fortune 500 companies. Perfect for IT leaders evaluating AI strategies or seeking to scale existing pilot programs.
About Our Speaker
Shawn Deggans is a Principal Solutions Architect specializing in transforming complex data challenges into measurable business outcomes. With 25+ years in technology solutions, Deggans helps organizations build informed, responsible, and scalable data architectures that drive real business value.
Deggans focuses on comprehensive data strategies aligned with business objectives, scalable governed data solutions using modern cloud platforms, and measurable outcomes through OKR-driven frameworks. He concentrates on data asset optimization, modern architecture design, cloud solutions implementation, and governance framework development. Certifications include: AWS Solutions Architect, Azure Solutions Architect Expert, Azure AI Engineer, and Databricks Data Engineer & Data Analyst.