The average sales forecast is wrong by 25%. Not because the data doesn't exist, but because it's not being used. This session covers how AI forecasting models work in practice and how to build leadership trust in the outputs. Key takeaways: - The signals AI models use that your current forecast process is missing - How to move from gut-feel calls to a number you can defend in the board meeting - What good looks like: examples from teams who've cut forecast variance significantly