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Data For AI - One AI, Every Data Model
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| With Talon Miller (Principal Architect, Redis), Guy Lubovitch (Dir. Customer Engg, FalkorDB), Bharath Krishna & Akshay Thorat (Enggrs, Roku), Mark Hoerth (Product Lead, Datastrato). |
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Jul 22 (Wed) @ 05:30 PM
FREE
| | Venue, 525 Market St, SF
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| Register |
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Last time, we made the case for unifying data so agents can actually use it. This session goes a level deeper, into the structures themselves.
A vector index, an Iceberg table, an object store full of audio & video, a JSON document, a knowledge graph, a stream of events. Each one answers a different question well & fumbles the rest. Force every modality through a single structure, & you pay for it in latency, storage cost, or meaning you can't get back. Choose well, & the same agent gets faster & cheaper.
We'll walk through the various data structures behind multi-modal AI. What each is good at, where each one breaks down, & how to combine them so you don't end up with six disconnected stores nobody can govern.
Built for data engineers, AI/ML engineers, & platform architects building for agents & multi-modal workloads.
Speakers
Talon Miller, Principal Architect, Redis
Guy Lubovitch, Director of Customer Engineering, FalkorDB
Bharath Krishna & Akshay Thorat, Senior Engineers, Roku
Mark Hoerth, Product Lead, Datastrato
Want to speak?
We're still building the lineup, & your war story is exactly what makes this event worth showing up for. If you've forced a modality through the wrong structure & paid for it, or landed on a combination that actually works, that's the talk. Lightning talks & full sessions both welcome!
Submit by July 15: https://forms.gle/6Hf9JrYedJvmDtjZ6
Required for entry
AWS Loft venue policy means every registrant must also sign in through AWS here: http://events.builder.aws.com/d/4dz2b8. Please complete this before the event - you won't be able to get in without it.
About Data for AI
Data for AI is a community of founders, engineers, executives, & innovators building the data infrastructure behind generative AI, multi-modal models, & whatever comes next. We get together in person to swap hard-won lessons, meet the people solving the same problems, & hang out. Come join us.
Sponsors
This event is made possible by our sponsors, who keep the Data for AI community running.
Datastrato is the company behind Apache Gravitino, the open-source metadata lake that puts tables, models, & files under a single catalog, lineage graph, & access layer. They are building the open data fabric platform to accelerate trusted AI., & host the Data for AI community. More at datastrato.ai.
Neo4j is the graph database behind many of the world's knowledge graphs. Its native property-graph engine & Cypher query language make relationships a first-class citizen, which is why teams reach for it on connected-data problems and, increasingly, GraphRAG for grounding LLMs. More at neo4j.com.
Redis is the in-memory data platform engineers reach for when latency is the whole point. Beyond caching, it now powers vector search, semantic caching, & agent memory, which puts it in the fast path of most AI stacks. More at redis.io.
Want to reach the Data for AI community with your brand? E-mail adi@datastrato.ai
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