Sign up for our awesome New York Tech Events weekly email newsletter.     EVENT DETAILS How do we know which forecasts to trust for our most critical business decisions? When stakes are high, big data & machine learning techniques can drive significant value across a wide variety of applications. However, finding the right approach is difficult. A tempting solution may perform well in one context but poorly in others, rely on unavailable information, or incur impractical costs. Whether it's demand forecasting, supply chain management, or any other application, getting it right requires balancing the need for performance with the constraints of implementation & complexity. This webinar is designed for business leaders, data science managers, & decision makers seeking to understand how data-driven approaches can improve forecasting & planning. We will discuss examples of forecasting applications, explore some of the methodologies available, & address effective implementation. Attendees will leave equipped with the tools to: Identify types of forecasting applications & issues Understand the range of techniques available & related challenges Evaluate potential data-driven approaches for your business Measure performance in the context of business objectives Javed Ahmed Senior Data Scientist, Metis Javed is an economist & data scientist with experience in banking, finance, forecasting, risk management, consulting, policy, & behavioral economics.