17 Feb On location at Wibautstraat 202, 1091 GS Amsterdam, The Netherlands

Time for Action: Anomaly Detection in Time Series

February 17, 2023 / 2:45 pm - 3:30 pm

From inventory to website visitors, resource planning to finance and accounting, much of any organization’s data has temporal nature. Key problems facing business include not only forecasting the future values, but also identifying when these values are alarming. Intertemporal anomaly detection often becomes a complex problem that neither common rule-based heuristics nor standard anomaly detection algorithms can tackle well. In this webinar we will have a close look at this domain, learn about its distinctive features and challenges as well as learn to detect anomalies in time series data, while dodging many common mistakes and issues.

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Schedule

2:45 pm

Time for Action: Anomaly Detection in Time Series

From inventory to website visitors, resource planning to finance and accounting, much of any organization’s data has temporal nature. Key problems facing business include not only forecasting the future values, but also identifying when these values are alarming. Intertemporal anomaly detection often becomes a complex problem that neither common rule-based heuristics nor standard anomaly detection algorithms can tackle well. In this webinar we will have a close look at this domain, learn about its distinctive features and challenges as well as learn to detect anomalies in time series data, while dodging many common mistakes and issues.

Host

Vadim Nelidov Data Scientist Xebia