Elevating Time Series Forecasts with External Data and AI Techniques (Forecast Forward series 3 of 5)

Time series forecasting is about more than just historical patterns. Incorporating external data sources and AI-driven techniques like anomaly detection can significantly enhance forecasting accuracy. In this interactive session, we’ll explore how advanced methods improve forecast precision, with a demo from Ikigai to showcase how these techniques are automated. A Q&A session will follow to explore your unique challenges.

Focus Topics:

• Integrating external data into time series models for better accuracy
• Improving forecasts with anomaly detection and change point detection
• Explainable AI to foster trust in business forecasts

This is the third in a 5-part series focused on Time Series Forecasting with AI.

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