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Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains how systems thinking and Causal Flow Diagrams are tools to navigate the unintended consequences of increasingly complex multi-agent AI systems and ensure responsible AI.
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Beyond the Hype: Architecting Systems with Agentic AI
The panelists discuss architecting with Agentic AI: the hype, the reality, and how to build production-ready, trustworthy systems with guardrails, observability, and continual relevance.
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Making AI Agents Work for You (and Your Team)
Hannah Foxwell explains how to design agent teams for high-quality output and shares a vision where AI agents handle toil, freeing humans to focus on creativity and customer relationships.
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10 Reasons Your Multi-Agent Workflows Fail and What You Can Do about It
Victor Dibia discusses multi-agent systems, detailing how to build them with AutoGen, common failure points, and strategic approaches for senior software developers and engineering leaders.
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Concurrency in Clojure
Stuart Halloway discusses concurrency features in Clojure: atoms, agents, futures, delays, promises, STM, and dynamic vars.
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The Lean Influencer’s Mantra
Siraj Sirajuddin talks about the Change Agent’s role in introducing Lean and Kanban in large organizations, the Lean philosophy, the forces and dynamicas related to Lean and Kanban adoption.