

Operational AI: Real-Time Analytics in Production (LA)
Description
AI demos are easy. Building AI systems that actually work in production - in real time, under pressure, with messy data and real users - is where things get interesting.
At this OSA Community meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.
If you work on data infrastructure, AI applications, observability, streaming systems, or just like hearing how modern systems are really built, you’ll fit right in.
Food and drink are provided!
Speakers
Agenda
6 pm - Networking
6:15 - 8:00 pm - Talks
8:00 - 9:00 pm - Networking
Description of the Talks
Building a Foundation for AI with ClickHouse® and Apache Iceberg Storage
Speaker: Robert Hodges, CEO @ Altinity
Abstract: AI applications need data. Lots of it. Altinity's Project Antalya is adapting open source ClickHouse® to introduce separation of compute and storage on shared Iceberg table data. The result: fast, cheap, flexible query that extends the life of real-time analytic applications and lays the foundation for handling new AI use cases on the same datasets. We cover architecture, performance results, roadmap, and how to get started yourself.
AI Observability with Grafana
Speaker: Dmitri Pappa, Grafana
Abstract: Join us for the latest from Grafana Labs, a leader in AI Observability. Grafana software helps over 35 million global users solve problems, monitoring everything from watering plants to critical IT infrastructure at the world’s largest companies.
In this session we will discuss our “actually useful” Grafana AI tools including:
Grafana Assistant - Accelerate dashboard creation, analytics and troubleshooting
AI Observability - Expand visibility into 3rd party agents, conversations, tools and tokens
Assistant Investigations - Leverage a fleet of specialized agents for rapid root cause analysis
Bio of the speaker: Dmitri spent his career automating software at HPE and IBM. He has spent the last few years helping Grafana customers mature their Observability practices, now leveraging AI tools.
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