Build your own forecaster with GenAI at minimal cost and with minimal expertise required

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.

What you will learn in this intensive half day session

• 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

Instructors

Mihail Mihaylov is a GenAI expert and entrepreneur with 18 years of experience in artificial intelligence, combining a decade of work in start-ups and scale-ups with eight years of applied (gen)AI and machine-learning research. He has led the development of AI-powered SaaS products in the energy sector and introduced new concepts and algorithms in decentralized agent-based systems. His work bridges deep technical insight with practical industrial applications, helping organisations adopt cutting-edge AI technologies with confidence.

Price

Thanks to the support of the European Commission and Innoviris in the framework of the EDIH sustAIn.brussels, SMEs and midcaps receive this training free of charge (0€). Large companies and participants without a company pay 1062€ per participant.

Practical

Number of participants: 15 max

Location: Live meeting to allow for enough interaction, at the VBO-FEB

Date: 21/04/2026

Time: Welcome from 13.00, start at 13.30 to 17.00pm

Cancellations: should be notified by email (events@sustain.brussels) . Cancellations notified 3 working days before the event are free of charge. In case of no-show or cancellation on the day itself, the fee of 105€ will be charged to cover the costs. Replacement by a colleague is always possible provided that this is notified in advance by email (events@sustain.brussels).

For questions about this event, contact ludwig@sustain.brussels or +32 474 96 44 89

Organisers

• Sirris | Innovation forward : The innovation companion of the Belgian technology industry
• SustAIn.brussels is a European Digital Innovation Hub in Brussels that serves as a single point of access to sustainable and digital innovation in Brussels with a focus on AI and other emerging technologies. Supported by the European Commission, Innoviris and hub.brussels.