Explore advanced techniques for predictive time series analytics in this 41-minute conference talk from the Association for Computing Machinery (ACM). Dive into cloud observability, time series anomaly detection, and explanation methods. Learn about evaluation and benchmarking tools, including precision and recall for time series data. Examine customization examples and selected experimental results, focusing on a Spark application monitoring use case. Discover the Exathlon benchmarking platform for end-to-end data science pipeline design and implementation. Investigate visual exploration of anomalies with METRO-VIZ and data debugging with DAGGER. Gain insights into the future of AI systems and time series analysis tools.