25–40 min
Equity by Design: Building AI That Works for Everyone
AI systems reflect the priorities of the people who build them. This keynote challenges audiences to consider who benefits and who gets left behind — and gives them a practical framework for building AI that is both high-performing and genuinely equitable.
Ideal for: Executive Teams · Product Leaders · Policy Makers · DEI Leaders
What your audience gets → Show less ↑
Learning objectives
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See how design decisions encode who AI systems serve
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Evaluate AI products through an access-and-equity lens
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Leave with a framework for building high-performing, equitable AI
Takeaways
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An equity-by-design review framework for AI products
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Case studies from scholarship and pipeline programs that widened access
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Practical questions to ask before an AI system ships
30–45 min
Building with Claude: Agentic AI in the Enterprise
A technical-forward talk on agentic AI systems — what they are, how they work, and where they create the most value in enterprise environments. Covers real examples from production deployments, with lessons on trust, oversight, and keeping humans in the loop.
Ideal for: AI Engineers · Technical Leaders · Product Managers
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Learning objectives
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Understand agent design patterns: planner, executor, critic
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Identify where agentic systems create enterprise value versus overhead
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Design oversight and escalation patterns that keep humans in control
Takeaways
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Production-tested agent architecture patterns
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A trust-and-oversight checklist for agentic deployments
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Cost and latency tuning strategies for always-on workflows
20–30 min
The Build → Learn → Teach Flywheel
The philosophy behind everything Marlon does: you don't just build AI systems — you extract the lessons and then multiply impact by teaching them. This keynote shows how this flywheel drives innovation at the individual, team, and organizational level.
Ideal for: All audiences · Educators · Leaders · Practitioners
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Learning objectives
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Understand why building is the fastest path to real AI understanding
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Learn how teaching compounds individual lessons into organizational capability
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Apply the flywheel to your own team's learning culture
Takeaways
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The Build → Learn → Teach → Inspire operating model
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A template for turning project retrospectives into teachable playbooks
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Ways to create 'Aha!' moments that change how teams see AI