Forecasting with GenAI

Forecasting sits at the heart of proactive decision making, but for many organizations, it has long felt out of reach. Traditional methods often require deep technical expertise, expensive tools, and complex infrastructure. Meanwhile, companies generate endless streams of sensor, production, and operational data that remain largely untapped, simply because turning numbers into insight is hard.

In this three hour master class, we change that. You will discover how anyone, from maintenance managers to data owners, can transform raw time series data into dependable forecasts using modern generative AI, or GenAI.

By harnessing free foundation models and today’s coding assistants, we dramatically lower the barrier to entry. You will learn how to build a high quality forecasting solution in a single afternoon, without writing code and without paying for costly licenses.

Our mission is simple, to put the power of forecasting into the hands of industry practitioners like you, so you can make smarter decisions, reduce uncertainty, and move innovation forward with confidence.

• Understand how time series forecasting works in practice, including the metrics that matter most for evaluating forecast quality
• Decide when classical machine learning approaches are sufficient and when generative AI offers a real advantage
• Explain why modern foundation models such as Chronos-bolt, TimesFM, and TimeGPT perform so well on forecasting tasks
• Build your own GenAI-based forecasting solution in half a day, at negligible cost, using free models and modern coding assistants
• Use coding assistants like Claude Code and Codex to work faster and more effectively, while understanding their limitations and safety considerations
• Get started immediately with a concrete, step-by-step recipe provided by Sirris