Explore how AI and machine learning can be leveraged at scale to understand the impact of weather on businesses in this 28-minute conference talk from the Toronto Machine Learning Series. Discover how extensive historical weather data, combined with sales information, can be used to create hundreds of thousands of models at the product and store level. Learn how these models predict weather-driven demand for both short and long-term planning, aiding decision-makers in supply chain management, workforce planning, and marketing strategies. Gain insights from Bala Gopalakrishnan, Chief Data Officer at Pelmorex Corp, on how weather affects consumer behavior, purchasing patterns, and food choices. Understand the potential of correlating decades of global weather data with sales information to create powerful predictive models that can revolutionize business operations and decision-making processes.