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UID:ai-in-production.jumpingrivers.com
DTSTAMP:20260426T111918Z
DTSTART;VALUE=DATE:20260604
DTEND;VALUE=DATE:20260606
SUMMARY:AI in Production
DESCRIPTION:### Overview\nAI in Production is a two day conference organized by Jumping Rivers\, taking place in Newcastle upon Tyne at The Catalyst in the Newcastle Helix district. The event runs on 4 and 5 June 2026 and builds a practical forum for engineers\, data scientists\, researchers\, and product teams who deploy and maintain AI and machine learning systems in production. The program brings together hands-on workshops\, industry talks\, and interactive sessions designed to help attendees move from concepts to deployed\, reliable AI products. The venue is central\, with easy access from Newcastle Central Station and local transport options\, and the event includes a drinks reception to foster networking in a relaxed setting.\n\n### Agenda\nThe conference is split into a day of workshops followed by a day of talks. Day 1 focuses on practical\, hands-on workshops led by Jumping Rivers experts and external practitioners. Topics include Prompt Craft and AI Integration in R and Python\, productionising with the Medallion Architecture\, and tools like Positron for AI-assisted workflows. Additional afternoon workshops cover Shiny apps with LLMs\, Databricks Genie Rooms for data discovery\, and self-hosted LLMs for on premise inference. A drinks reception in the Catalyst atrium accompanies Day 1. Day 2 shifts to talks across two streams: an Engineering Stream focused on infrastructure\, deployment\, monitoring\, and production readiness\, and a Machine Learning Stream covering model development\, evaluation\, responsible data use\, and industry case studies. The schedule emphasizes practical takeaways\, governance\, and scalability for AI systems in production.\n\n### Tracks and Sessions\nTracks include Engineering and Machine Learning\, with sessions on building and deploying AI pipelines\, data discovery\, RAG workflows\, retrieval and synthesis\, and safe\, compliant AI usage. Workshop formats include facilitator-led demonstrations and interactive hands-on exercises\, with examples in both R and Python to ensure accessibility across tooling ecosystems. The agenda features lightning talks and long-form sessions\, with details like prompts\, tool integrations\, and architecture patterns outlined for attendees to replicate in their own environments.\n\n### Speakers and Format\nSpeakers include practitioners from Jumping Rivers\, Databricks\, and other AI communities. The program lists sessions such as LLM-driven workflows in R and Python\, Medallion Architecture case studies\, and AI-assisted data exploration. The event emphasizes practical knowledge\, demonstrations\, and code examples\, with opportunities to read abstracts and attend talks that align with attendees’ professional needs. A cocktail of talks\, workshops\, and interactive demonstrations is designed to equip attendees with hands-on techniques they can apply to production AI challenges.\n\n### Venue and Attendance\nThe Catalyst in Newcastle is the designated venue\, within walking distance of St James' Park. The event highlights transportation details\, nearby rail access\, and the prospect of a productive in-person networking atmosphere. Registration offers options for conference only or conference plus workshops\, with a drinks reception included for ticket holders. This format supports deep dives into topics while enabling cross-pollination between disciplines and roles. The conference intends to foster practical AI delivery and responsible\, scalable AI practices across organizations.\n\n### FAQ\nThe event provides information on abstract submissions\, registration timelines\, pricing\, and how to participate in workshops. Attendees should check the schedule for exact session times and session-room assignments as they become available. The format aims to balance deep technical content with accessible insights for a broad audience and includes guidance on safe and responsible AI use in production environments.\nhttps://ai-in-production.jumpingrivers.com?ref=ainave
LOCATION:Newcastle-upon-Tyne\, United Kingdom\, GB
URL;VALUE=URI:https://ai-in-production.jumpingrivers.com?ref=ainave
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