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WNiCF - Interview with Henk - Time series, forecasts and anomaly detections, all hard problems to crack.
Manage episode 470863788 series 3553457
Nội dung được cung cấp bởi The FinOps Guys - Stephen Old and Frank Contrepois, The FinOps Guys - Stephen Old, and Frank Contrepois. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được The FinOps Guys - Stephen Old and Frank Contrepois, The FinOps Guys - Stephen Old, and Frank Contrepois hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
- We discussed the challenges of working with time series data, particularly in the context of machine learning and AI, highlighting the complexity and the need for automation in feature engineering.
- The importance of balancing accuracy and complexity in model creation was emphasized, with a focus on avoiding overfitting and ensuring models remain effective in real-world applications.
- The potential integration of business context data, such as sales data, with cloud consumption data to enhance anomaly detection and forecasting models was proposed.
- The discussion touched on the economic value of anomaly detection, with a focus on proving that early detection can lead to significant cost savings.
- The target audience for the anomaly detection system was identified as FinOps managers, who would use the system to manage cloud-related financial topics and coordinate with engineers to address anomalies.
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