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Meet Chris Alden: Technology Partner at Work & Co, part of Accenture Song with over a decade of hands-on AI experience. As part of a team that has delivered 500+ successful digital products for world-leading brands, Chris brings insights into how product teams can effectively collaborate with AI. He provides leaders with actionable strategies that convert AI’s theoretical potential into digital products with measurable business impact.
Chris Alden is a Technology Partner at Work & Co, part of Accenture Song, where he helps lead the global Engineering and Quality Assurance teams with a focus on empowering teams to build one-of-a-kind digital products. In his time at Work & Co, he has led technology engagements with clients like Harley-Davidson, Epic Games, Lyft, and Planned Parenthood.
He is based in London and has 15+ years of experience writing software and leading teams across both digital agencies and startups. Chris bridges the worlds of cutting-edge technology and human-centered design, delivering insights that are both visionary and immediately applicable.
Chris holds a master’s degree in interactive technologies from New York University, where he studied Machine Learning and generative algorithms for writing and performing music. This unique background enables him to approach AI through a human lens, blending art and science to help teams discover how AI can amplify rather than replace human creativity.
Chris Alden is a Technology Partner at Work & Co, part of Accenture Song, where he helps lead the global Engineering and Quality Assurance teams with a focus on empowering teams to build one-of-a-kind digital products. In his time at Work & Co, he has led technology engagements with clients like Harley-Davidson, Epic Games, Lyft, and Planned Parenthood.
He is based in London and has 15+ years of experience writing software and leading teams across both digital agencies and startups. Chris bridges the worlds of cutting-edge technology and human-centered design, delivering insights that are both visionary and immediately applicable.
Chris holds a master’s degree in interactive technologies from New York University, where he studied Machine Learning and generative algorithms for writing and performing music. This unique background enables him to approach AI through a human lens, blending art and science to help teams discover how AI can amplify rather than replace human creativity.
On your podcast, Chris will challenge the common AI narrative that centers on automation—taking tasks away from people and giving them to software. Drawing from his decade-plus of hands-on AI experience, he’ll reveal how this mindset overlooks AI’s truly transformative potential to create new sources of dialogue—with broader fields of inspiration, with the audiences being served, and between team members.
Chris will explore how AI can be transformed from a mere productivity tool into a true collaborator by grounding implementations in observed human needs. He’ll share insights from projects with major brands like Harley-Davidson and Epic Games, demonstrating how AI-powered tools designed to optimize the generation of multiple variations can infuse external inspiration into design processes, turning raw creativity into refined concepts that solve real problems.
On your podcast, Chris will demonstrate how working with AI has forced a change in process—moving from a traditional Software Development Lifecycle of planning, design, implementation, deployment, and analysis to one of ongoing collaboration and evaluation that starts with inspiration.
He’ll explain why this shift requires scientific rigor, where teams define testable hypotheses about how systems will respond and constantly evaluate assumptions. Through real-world examples from healthcare, transportation, and entertainment collaborations, Chris will show how this approach breaks down traditional silos of execution and pushes teams to get comfortable with probabilistic thinking. Listeners will gain practical frameworks for continuous experimentation and refinement that turn AI from a speculative technology into a robust solution ready to solve problems in production.
