GenAI time series forecasting for every industrial company

Industrial forecasting, finally within reach

Your machines, production lines, and systems generate data around the clock: energy consumption on CNC machines, sensor readings, production volumes, sales figures. But turning that data into reliable predictions used to require a specialist team, months of development, and costly infrastructure.

GenAI has changed that. In this 3-hour masterclass, Sirris expert Mihail Mihaylov shows you how to build a forecaster that matches industrial benchmarks without writing a single line of code, without ML expertise, and without expensive licences. The model works out of the box.

For whom?

• Maintenance managers and engineers looking to move from reactive to predictive maintenance
• Production planners and operations managers who need reliable demand and capacity forecasts
• Data owners and technical profiles wanting to apply GenAI without complex ML pipelines
• Anyone who collects operational or sensor data and wants to extract more value from it
• Professionals in energy, utilities, logistics, or any data-intensive sector looking to apply forecasting without a specialist team

Key takeaways

GenAI foundation models such as Timer-S1, Chronos-2, and TimesFM-3 can match, and in several cases outperform, the best traditional forecasting models, at a fraction of the cost and effort. Sirris tested these models against established industrial benchmarks, including noisy, real-world data. In this session, we share the full picture: where they excel, where they fall short, and what that means for your own data.

Attended last year? This edition covers a new generation of models, how they hold up on noisy data, and how coding assistants can keep improving your forecaster on their own.

After this session, you will know:

• How time series forecasting works and which accuracy metrics matter in practice
• How models perform on noisy, real-world data and which ones are most robust
• How to balance accuracy, robustness, and speed
• When GenAI outperforms classical ML, and when it does not
• How to build your own forecaster in an afternoon using free, open-source models
• How to get started immediately with the step-by-step recipe from Sirris

Programme

Flemish companies can take advantage of a subsidy from VLAIO for this course

This programme is part of Industriepartnershap in which 13 Flemish innovation partners offer an integrated service to stimulate growth and innovation in the Flemish industry in the 6 following themes: AI, Cybersecurity, Circularity, Digitisation, Climate & Energy and Industry 4.0. They do so under the leadership of Agoria and Sirris and with the support of Agentschap Innoveren & Ondernemen.

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