Enterprise Forecasting: Navigating Uncertainty with aiCast
Forecasting is a critical component of strategic business planning, yet decision-makers and expert systems often struggle to model the uncertainty and complexity in their operations and markets. Without understanding the "why" of historical performance across internal factors as well external variables like real world events, customer preferences or competitive behavior, accurate forecasting becomes an exercise in disappointment.
aiCast is an advanced AI forecasting solution that manages the evaluation, processing, and application of forecasting models purpose-built for time stamped and tabular enterprise data. Developed by Ikigai Labs, it offers a robust forecasting approach by factoring in seasonality, trends, and interactions between complementary products. aiCast leverages advanced technology like Large Graphical Models (LGM) and Time2Vec techniques to draw highly relevant patterns from existing products and customer segments.
This paper explores the capabilities of aiCast, highlighting how it generates tailored forecasts to provide actionable insights and recommendations for improved business performance.
Topics include:
- Large Graphical Models
- Harnessing limited historical data with Time2Vec
- Time series decomposition and analysis
- Quantifying and managing uncertainty
- Practical business applications and use cases
- aiCast workflow
- Why it's critical to integrate experts into the loop
