Open source observability with AI & ML – what’s next? | Grafana Labs
Open source observability with AI & ML – what’s next? | Grafana Labs
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Open source observability with AI & ML – what’s next? | Grafana Labs
Open source observability with AI & ML – what’s next? | Grafana Labs
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At Grafana Labs, we’re excited about the role AI/ML can have in bridging the gap between humans and the beyond-human scale of observability data we work with every day. In this session, you’ll learn about the features leveraging AI/ML that we’ve already released, what’s next, and what the future could hold. We’ll also talk about our big tent, open source approach to enabling the community to use AI/ML to power up the data sources, visualizations, and flows that you build into Grafana everywhere.
Marc Chipouras
Senior Director of Engineering at Grafana Labs
Marc has been working in the observability space for the past decade. He enables engineering teams to understand dynamic distributed systems as they build and operate them. At Grafana Labs, he helps create products for customers to detect, respond, and learn from their chaotic systems.