Forecasting Computational Costs
Fotios explains how the computational cost of producing forecasts for a massive number of time series can become a significant challenge for organizations with large inventories. He discusses the balance between forecast accuracy and minimizing computational burden, shedding light on the complexities faced by companies dealing with extensive SKU and store combinations.In this clip
From this podcast
Data Skeptic
Fast and Frugal Time Series Forecasting
Related Questions
What are the costs of AI models as discussed in the episode Futures of the data foundry business model and the clip Data Acquisition Challenges?
What would be the right approach to go about feature selection and correlation analysis for predicting the number of units sold or the % growth in units sold over the next 3 years in a time series problem, as discussed in the episode Boosted Embeddings for Time Series and the clip Forecasting with Time Series Data?