))
WNiCF - Interview with Henk - Time series, forecasts and anomaly detections, all hard problems to crack.
Manage episode 470863788 series 3553457
תוכן מסופק על ידי The FinOps Guys - Stephen Old and Frank Contrepois, The FinOps Guys - Stephen Old, and Frank Contrepois. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי The FinOps Guys - Stephen Old and Frank Contrepois, The FinOps Guys - Stephen Old, and Frank Contrepois או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.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.
83 פרקים
שתפו
