Innovations in Time Series Forecasting

This chapter explores the remarkable success of a new model applied to time series data, demonstrating its superiority over traditional forecasting methods. Key discussions include the formation of a new company that aims to revolutionize tabular data analysis and the ongoing development of versatile foundation models like PriorLab's TAPGFN. The chapter also emphasizes the importance of community engagement and collaboration in advancing AI technologies, as well as the evolving landscape of AutoML.