Traditional inference techniques and infrastructure tools can be illsuited to time-series data, which may be noisy, streaming, multispectral, irregularly sampled, and/or extremely large. This BoF is aimed at identifying promising approaches to time series analysis across a diverse set of use cases and finding projects of common interest for potential future collaborations.
- Share use cases, tooling & pain points around time series analysis and inference
- Identify common tools & difficulties across use cases
- Open issues discussions
- Find potential cross-domain/cross-methodology areas for future collaboration