Join us for the first installment of the Jumping Rivers AI in Production conference!
Hosted in the centre of Newcastle Upon Tyne, UK, this conference will delve into the world of AI and Machine Learning.
Find us at The Catalyst, 3 Science Square, Newcastle Helix, Newcastle, NE4 5TG.
Want to support our conference? Get in touch!
We are now accepting proposals for talks at AI in Production 2026. Submit your title and abstract (max. 250 words), using the form below, by .
Abstract submission will open soon.
Abstract submission is now closed.
| Ticket type | Conference only | Workshop and conference |
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| Super early bird | ||
| Early bird | ||
| General |
Registration is now closed.
AI in Production will take place over two days, split into a day of workshops and a day of conference talks. Tickets are available for either the conference only, or for the conference and one of the workshops.
We will also be hosting a drinks reception on the evening, which is included in the price of your ticket!
Day 1 will consist of workshops run by some of our very own Jumping Rivers pros and other experts in the field. Particpants can take two half-days workshops and lunch is included.
More details coming soon.
Declan Watson and Liam Wilkinson (Databricks)
A hands-on look at how teams can turn messy, scattered data into clean, trusted, production-ready assets. Expect practical tips, real patterns, and the kind of “oh, that’s how it works” moments that make the Medallion Architecture click. A great session for anyone wanting to move faster from idea to usable data product.
More details coming soon.
More details coming soon.
Declan Watson and Liam Wilkinson (Databricks)
This session shows how Genie Rooms remove the friction from finding answers. Ask questions naturally, explore data effortlessly, and uncover insights without the usual back-and-forth or technical overhead. Perfect for anyone looking to boost self-service and make AI-assisted discovery a reality in their organisation.
Daniel Burkhardt Cerigo (datavaluepeople)
In this workshop we'll use popular open-source inference frameworks to set up your own LLM inference endpoint. Not every AI use case belongs on a third-party API like OpenAI; data sovereignty, compliance, or simply cost at scale can push you toward self-hosting. We'll cover when self-hosting makes sense, get hands-on deploying a working system, and then explore monitoring the metrics that matter in production - time to first token, tokens per second - and how to tune for your workload.
Drinks Reception ( - )
All tickets include entry to the drinks reception on night. Hosted in the atrium of the Catalyst building, this will be a great opportunity for networking and relaxing before the following day of talks!
Day 2 will consist of a range of talks from experts across industries. Registration begins at , followed by the first talk session at . The final session is scheduled to conclude around .
This year's conference features two streams:
Sessions focused on building, shipping, maintaining, and scaling AI systems and data pipelines. This stream will suit people working with infrastructure, deployment, monitoring, and production readiness.
Talks covering model development, evaluation, responsible use of data, and lessons from real projects. This stream will suit people who work with modelling, research, and applied ML
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Speakers will be announced in the coming months.
Click on an button to read the corresponding abstract.
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Situated just a short walk from the iconic St James' Park, The Catalyst is home to both the National Innovation Centre for Ageing and the National Innovation Centre for Data. It forms part of the Newcastle Helix, the state-of-the art innovation district in the centre of the city.
The Catalyst is just a ten-minute walk from Newcastle Central Station, on the East Coast mainline, with regular trains to and from Edinburgh and London taking around ninety minutes and three hours, respectively.
The closest airport is Newcastle International, which is approximately 30 minutes on the Metro from Newcastle Central Station.
AI in Production will follow the code of conduct as laid out by the R Consortium. Contact events@jumpingrivers.com if you have any concerns or wish to report an incident.