
Data Engineering London Meetup – Data Storage & AI: Store Smarter, Scale Further
Event
Data Engineering London Meetup – Data Storage & AI: Store Smarter, Scale Further
September 22 @ 6:00 pm – 9:00 pm London
Altinity is proud to sponsor Data Engineering London this September. In this session, speakers will explore the growing relationship between Storage & AI. We’ll look at how the rapidly changing AI landscape is influencing data storage, and how new approaches can enable better scalability, lower costs, and faster, more efficient access to data. The evening will feature two talks followed by a panel discussion, with plenty of time to meet other attendees, exchange ideas, and continue the conversation over food and drinks. Register here.
Speakers:
- Robert Hodges, CEO of Altinity
- Mischa van Kesteren, HPC/AI Solutions Architect @ HPE
- Panel discussion

Talk: There’s a great future in storage: building analytic systems to hold data for AI (Robert Hodges, CEO @ Altinity)
Remember the famous movie line, “There’s a great future in plastics?” Maybe not! You probably weren’t born when The Graduate came out. We’ll riff on the meme, because AI is making developers care *a lot* about storage in analytic databases: how it’s arranged, who can access it, how much it costs, and how you can scale up performance. We cover the standard models: from hot data on SSDs to frozen data in lakehouses. You’ll learn the practical trade-offs and get ideas how to apply each model to help AI apps run successfully.
Talk: AI Is Turning Storage Into Memory (Mischa van Kesteren, HPC/AI Solutions Architect @ HPE)
Everyone talks about GPUs when discussing AI infrastructure. Far fewer talk about storage. Yet modern AI workloads are increasingly limited by data movement, metadata performance, and access to persistent state. From training pipelines to RAG systems and KV cache offloading, storage is moving into the critical path of AI execution. In this talk we’ll explore why traditional parallel storage systems are showing their age, and how new architectures are blurring the line between memory and storage.
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