~/conference

AI in Production 2025

date:2025-07-18
location:Asheville, United States
series:AI in Production · 2 editions
editions:[AI in Production 2024, AI in Production 2025]
titleauthorlength
From Noisy Alerts to Smart FixesRyan Stevens30m
Company alert noise turns into alert-to-PR codegen that parses dbt lineage, generates SQL fixes, runs dbt recompiles on Snowflake, and opens a GitHub PR for…
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Beyond the Vector DBDrishti Jain26m
Describes a production RAG that stays current by reembedding only changed chunks using checksum change detection and weekly refresh pipelines, tracks embedding…
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Empowering Your Product with Agentic AIDon Shin29m
Model Context Protocol (MCP) is a standard that lets LLMs discover and call real tools and data sources — demo shows Claude Desktop connected to Slack and…
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The Hard Truth About AI AgentsHannes Hapke28m
Digits runs user-facing accounting agents by reimplementing the 100 lines of code core loop in Go, reusing internal RPCs (extracting comments to auto-generate…
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Can AI Build Your Next API IntegrationShon Urbas26m
Pandium demonstrates a pipeline that generates the integration-specific mapping while keeping infrastructure deterministic: prebuilt TypeScript API clients…
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Incorporating AI into your SDLCBrent Laster30m
Practical roadmap for using AI across the SDLC: index code and docs into a vector DB + RAG to answer planning questions like “where do we use dependency Y”…
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Building Safe, Creative AI Experiences for KidsVijay Chakilam24m
Hello Cooper is a reading platform with Cooper AI that lets kids remix books; a 35‑child beta shows 23/35 kids complete remixes and a 66% completion rate, and…
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Navigating the New AI Security LandscapeDavid Hawthorne30m
Maps OWASP-style risks to concrete LLM failures and mitigations, showing RAG vector attacks, prompt injection that leaks system prompts and connection strings…
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Opportunities for Startups Leveraging AI in 2025Uma Uppin27m
Claims AI drives a historic democratization of entrepreneurship — not via funding but via lower capital and smaller teams — supported by numbers: 78% of…
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Avoiding the Chatbot Trap Designing AI Interfaces That Unlock Real Business ValueAnne Griffin29m
Argues that chatbots are often the wrong interface and lays out a four-step framework: precisely define the problem, identify the user and their current…
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