🦾 Making artificial intelligence practical, productive, and accessible to everyone 🎙 with @dwhitena & @chrisbenson

Everywhere, Internet
Joined April 2018
Q3 brought great conversations about AI in practice! Here are Practical AI’s four most-listened-top episodes of the quarter, covering AI agents, enterprise architecture, and putting AI into production. Which conversation stood out to you this quarter? 👇🧵
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#4 From AGENTS.md to Enterprise Deployment Nick Kuhn from VMware Tanzu Platform shares how platform engineering principles, security, identity, and MCP gateways help bring AI agents into enterprise environments. 🔗 practicalai.show/373
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“If you don't have imposter syndrome, there might be something wrong with you.” Reed Frerichs joins us to explore narrative intelligence, storytelling, leadership, personal growth, and navigating an AI-driven world. 🔗Listen/Watch here: [link below]
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🎙️ September on Practical AI: from AI architecture and sovereignty to computer-use agents, AI search, and enterprise deployment. We explored what it takes to move AI from experimentation into the real world. 🎧 Catch up on all four episodes at practicalai.show.
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3️⃣ How to Get Discovered in AI Search Liam Dunne and Ben Moore of Discovered Labs joined us to unpack AI visibility, query fan-out, Reddit strategy, retrieval, citations, and what it takes to be represented in an AI-driven search landscape. 🔗Listen: practicalai.show/372
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4️⃣ From AGENTS.md to Enterprise Deployment Nick Kuhn from VMware Tanzu Platform joined the conversation on what changes when AI agents move from laptops and prototypes into enterprise environments and covering MCP gateways. 🔗Listen: practicalai.show/373
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⚙️AI agents are moving into the enterprise. Nick Kuhn from VMware Tanzu Platform joins us to discuss deploying agents alongside traditional applications, and what platform engineering can teach us about identity, scalability, and reliability. 🔗Listen/watch here: [link below]
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🔎Search is changing. We talk with Liam Dunne and Ben Moore of Discovered Labs about AI search, visibility, query fan-out, Reddit strategy, citations, and what happens when LLMs generate answers. Plus: when AI agents go from discovery to action. 🔗Listen/watch: [link below]
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