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Data + ML Forum 2025 – focus on AI and data-driven vision

This year, the Budapest Data + ML Forum, Hungary's leading combined Data Engineering and Machine Learning focused professional conference, took place between 16-18 June. The three-day event, in which Grepton participated, offered an excellent opportunity to learn first-hand about the latest technology trends, best practices and emerging challenges in the fields of machine learning, artificial intelligence and data engineering.

This year, the Budapest Data + ML Forum, Hungary’s leading combined Data Engineering and Machine Learning focused professional conference, took place between 16-18 June. The three-day event, in which Grepton participated, offered an excellent opportunity to learn first-hand about the latest technology trends, best practices and emerging challenges in machine learning, artificial intelligence and data engineering.

 

Why was the event important for us?

AI-based solutions – be it predictive analytics, intelligent data visualisation or automated decision support – are playing an increasing role. The conference was an opportunity to get up-to-date knowledge, new ideas and feedback on what really works in practice – and what is just hype.

 

Interesting questions, inspiring answers

Among the many interesting ideas that were presented at the event, we were particularly struck by:

“Where will the focus of the work lie between ‘AI babysitting’ and high-level strategic planning?”

How can AI be introduced and used in a way that creates real value – but does not become an end in itself? How to find the balance between human control and machine intelligence? This question illustrates that while AI technology is already part of everyday practice, its strategic role is still being defined.

 

Preparing for the future

The Data + ML Conference 2025 event confirmed for us that data-driven operations are not an option, but a competitive advantage – and one of the keys to this is well-integrated, smartly used AI. We are glad to have been there, to learn and to continue to build our knowledge – for the development of our partners.