Ikigai Resources

Read this whitepaper to learn how to leverage advanced AI techniques to address the challenges of forecasting new products with little or no historical data.

Time series data is the backbone of forecasting, from predicting sales, consumption, cash, people's journeys through an organization, the movement of financial instruments and more. This sequential, time-stamped information is crucial for understanding the patterns within data that drive business decisions including trends, seasonality, and patterns. In this whitepaper, we'll explore how enterprises can address some of the challenges inherent in time series data, such as data noise and scarcity, to unlock the value of this vital data for decision-making.

We share why Time Series Forecasting is an essential capability for every enterprise, what time series forecasting involves, and how it can be implemented.