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Monetizing AI — Alvaro Morales, Orb
AI Engineer session on Monetizing AI, presented by Alvaro Morales, Orb. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Monetizing AI, presented by Alvaro Morales, Orb. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Good design hasn’t changed with AI, presented by John Pham, SF Compute. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Automating Escrow with USDC and AI - Corey Cooper, Circle. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Google Photos Magic Editor: GenAI Under the Hood of a Billion-User App - Kelvin Ma, Google Photos. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Unlocking AI Powered DevOps Within Your Organization, presented by Jon Peck, GitHub. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Build Dynamic Products, and Stop the AI Sideshow, presented by Eliza Cabrera (Workday) + Jeremy Silva (Freeplay). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on [Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Dream Machine: Scaling to 1m users in 4 days, presented by Keegan McCallum, Luma AI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics - Alison & Andreas, Neo4j. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Intro to GraphRAG, presented by Zach Blumenfeld. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Small AI Teams with Huge Impact, presented by Vik Paruchuri, Datalab. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Books reimagined: AI to create new experiences for things you know, presented by Lukasz Gandecki, TheBrain.pro. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Robots as professional Chefs - Nikhil Abraham, CloudChef. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The State of Generative Media - Gorkem Yurtseven, FAL. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on New York Times' Connections: A Case Study on NLP in Word Games, presented by Shafik Quoraishee, NYT Games. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Transforming search and discovery using LLMs, presented by Tejaswi & Vinesh, Instacart. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building a 10 person unicorn - Max Brodeur-Urbas, Gumloop. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Data is Your Differentiator: Building Secure and Tailored AI Systems, presented by Mani Khanuja, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on 360Brew: LLM-based Personalized Ranking and Recommendation - Hamed and Maziar, LinkedIn AI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on CI in the Era of AI: From Unit Tests to Stochastic Evals, presented by Nathan Sobo, Zed. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Mastering Engineering Flow with Windsurf - Eashan Sinha, Windsurf. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on RAG in 2025: State of the Art and the Road Forward, presented by Tengyu Ma, MongoDB (acq. Voyage AI). It adds practical context for how teams are building and operating AI systems in production.