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Introductions
What does Data Science mean at Datadog?
Using data science to improve third party monitoring
How is data science different than software engineering?
Grouping monitoring data (Time series, Tags & entities, Rare events, Large scale)
Log Anomaly Detection (Clustering / Stateful streaming)
Using Hierarchical Bayesian models to monitor third party services
Finding signals in metrics (Lage scale time series screening)
Bits AI and generative artificial intelligence
The challenge of evaluation (rare events vs precision & recall)
Example of time series anomaly
How is all of this tied back to Watchdog?
Takeaways
Questions & Answers (and Tools to check out)