Matthew Certner Product Engineering Leader, IBM Americas https://www.linkedin.com/in/matthewcertner/
For those who have adopted AI, Generative AI is delivering value, but organizations expected more.
In today’s fast-moving digital landscape, speed alone isn’t enough — it’s about building the right products, building the products right, and making the product successful. This session dives into the art and science of delivering products that drive both business and user value at scale. Learn best practices for orchestrating complex value-driven programs, designed with your end users at the core, and driving real adoption through intentional product strategy. We’ll explore how being value-obsessed, not just feature-focused, is key to maximizing ROI – and how the right AI tools can accelerate delivery and fuel your transformation journey. If you’re aiming to build products that truly matter and deliver impact faster, then this session is for you.
Enterprises face a paradox. If you move too slowly, you face irrelevance. If you move too quickly, you end up wasting money on products people don’t want.
The product development lifecycle has transformed radically due to generative and agentic ai. It’s removed so many of the barriers to experimentation.
In Discovery: AI can analyze market signals, customer feedback, user research, and surface insights instantly
Design: Gen AI can create dozens of design concepts, prototypes, or flows instantly, giving you options to validate with users
Development: AI coding assistants and agentic automation shrink the development cycle.
Support: AI automates maintenance, improves day 2 operations, and continuously suggests product enhancements.
Teams fall into one of three patterns when struggling to scale generative AI effectively
Clear vision, but technical complexity in data or platforms slows them down.