Meetup #18

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A meetup featuring three talks on data quality for AI, running open-source language models on personal hardware, and building an enterprise AI product.

AI summary · From the event listing

Hello everyone and welcome to the Data & AI London meetup. We are excited to share the line-up for the 18th edition of the London Data & AI meetup. Check out these talks and reserve your spot - seating is limited and available on a first come first serve basis. Talk 1 - Stop Talking About Data Quality: What Really Matters About Your Data in the Age of AI (Chris Young) Our data needs to be cleaner before we can do AI." It's one of the most common reasons organisations give for not starting, and it's usually the wrong one. Legacy data is always dirty, and cleaning it at source can break the systems that run the business. Drawing on 20+ years of moving data from one place to another, Chris Young argues that waiting for clean data is often just a reason to delay. He'll show why starting from a real business problem matters more than a perfect data estate, and how AI can be put to work assessing, working around and correcting messy data itself. Talk 2 - Demystifying Local AI: How to Run LLMs on Your Own Hardware (Alistair Heath) Explore the architecture, privacy benefits, and practical use cases of local AI, and discover how to run open source models on your own machines to seamlessly power the AI tools and chat interfaces you already know and love. Talk 3 - Raise the Enterprise Ceiling (Matt Phillips) Two people with full-time jobs built a production-grade AI product in their evenings and weekends.

Shoreditch