Next-generation time series: Forecasting for the real world, not the ideal world

Provided by

Time series models make forecasts by learning from history, using data that ranges from individual transactions to data collected daily, weekly, or over a longer term. But turning that data into accurate predictions can be a very complicated process, involving a balance between finding the best data sources and creating the best features from them. It also means incorporating a deep understanding of your business.

Knowing how to approach time series projects is crucial for organisations in their quest to become AI-driven. This eBook looks at the many ways organisations are tackling some of the most valuable, yet difficult, time series problems.

Download this eBook to learn about:

• The current state of time series analysis
• Specific time series applications, such as demand forecasting and anomaly detection
• How to choose the right time series use cases
• How DataRobot’s enterprise AI platform solves time series problems