Charles Laughlin

Accurate forecasting helps you make more informed decisions that directly impact financial results. In this chalk talk, learn how to architect your data for large-scale, ML-based time-series forecasting using Amazon Forecast.

Data science and machine learning are transforming products and services in every industry. Whether it’s improving customer experience at BMW, personalizing software in real time at Intuit, or accelerating insights and innovation at Morningstar, data science and ML techniques are being used to improve business processes, speed product development, and enhance customer engagement.

Accurate demand forecasting can help a company maximize revenue and minimize inventory costs. Traditional approaches to deploying ML-based forecasting required customers to click through user interfaces or learn how to use APIs and Jupyter notebooks.