Purpose-Driven AI: Building Technology That Actually Matters

Join us for an essential conversation with our AI Expert and co-CEO, Matt Wicks, about moving beyond the AI hype cycle to create technology that delivers real-world impact. In "Purpose-Driven AI: Building Technology That Actually Matters," we'll explore a practical, human-centric framework for implementing AI solutions that solve genuine problems and empower people rather than simply implementing technology for its own sake. This session cuts through the noise to demystify AI tools and provides a clear, actionable four-step framework for building AI applications that create positive value. Through real-world case studies spanning accessibility, scientific discovery, and environmental conservation, you'll see how organisations are already applying these principles to generate meaningful impact. Whether you're a developer, product manager, business leader, or simply curious about responsible AI development, this talk will equip you with the mindset and practical questions needed to become a "Value Bridge." Someone who ensures AI projects focus on human impact rather than technological novelty. Leave with concrete strategies to evaluate and guide AI initiatives toward creating genuine value for the people and communities they serve.

• The "AI for Hype" vs. "AI for Purpose" Problem
• The "AI" Toolbox: Workhorse vs. Creative Partner
• The Purpose-Driven AI Framework: 4 Steps to Adding Value
• Case Studies in Adding Value
• Your Role as the "Value Bridge"

You can also register through our event page on LinkedIn: https://www.linkedin.com/events/purpose-drivenai-buildingtechno7396124165440700416/

Co-CEO,The Virtual Forge

The story of any product development is the story of data, of understanding what you want to achieve, and what you need to know to achieve it. Building those pipelines, grappling with that data and answering those questions is why Matt loves what he does, and has done for over 30 years.

He has worked with companies as diverse as the BBC, NHS, Jaguar Land Rover and Adobe, as well as small product teams, and they all have two things in common - the need for insight from data, and the need to build, often faster and faster.