The unprecedented pace of innovation around Generative AI makes execution, especially scaling, more complicated and difficult across the enterprise. Combining the pace of change with complex tech stacks, responsible AI components, and new regulatory and compliance requirements often result in organizations failing to capture the full value that Gen AI can unlock. Hear from an expert at McKinsey about how to build and leverage a modern Gen AI platform to successfully accelerate innovation while operating at scale. Learn about how successful enterprises that combine self-service capabilities, robust automation, AI specific shared services, and an integrated approach to governance are winning in the race to business value. We’ll take a detailed look at AI Gateways, Application Patterns, tech-enabled guardrails including LLM FinOps, and Observability the allow you to federate GenAI development and operate at scale across the enterprise.
Speaker
Michael "Kaz" Kazmier
Partner @McKinsey & Company and Leads the Firm’s Cloud Application Modernization and Build Service Line
Kaz is a Partner at McKinsey & Company and leads the firm’s Cloud Application Modernization and Build service line. With over 20 years of software engineering experience and 15 years working in the cloud prior to joining McKinsey, Kaz has a track record of developing compelling technical solutions to complex business challenges. Kaz is a former founder and CTO of a venture-backed digital media company and his background includes building enterprise class web and cross-platform mobile applications leveraging cloud-native architectures.
Session Sponsored By
Date
Wednesday Nov 20 / 10:35AM PST ( 50 minutes )
Location
Pacific LM
Video
Video is not available
