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Jiří Vinárek: AI is powerful—but only if your data is
— A Mews R&D MiniPodcast on data, AI realities, and the rise of semantic intelligence
In this episode, our host Jan Meissner sits down with Jiří Vinárek, our Staff Data Scientist, to demystify the world of data. What’s the real difference between data engineers, analysts, and scientists? How do these roles work together to transform raw information into powerful insights? And why does good data feel a bit like high-octane fuel for AI?
Jiří shares his journey from studying math and physics at university to becoming one of the earliest data people at Mews—building dashboards, prediction models, and even a CO₂-monitoring pet project back when the whole company fit in one room. He breaks down what AI can do, what it really can’t, and why understanding models (and your data) matters far more than pressing “generate.”
They dive into the hype versus reality of GenAI, why arguing with an LLM is pointless, and how emerging concepts like semantic layers and agentic AI will shape the next wave of hospitality tech. Along the way, Jiří reflects on teaching beginners through Czechitas, the surprising joy of relearning fundamentals, and why diverse backgrounds strengthen product teams.
To learn more about Mews R&D team, check out our:
- website
View all episodes
By Mews R&D— A Mews R&D MiniPodcast on data, AI realities, and the rise of semantic intelligence
In this episode, our host Jan Meissner sits down with Jiří Vinárek, our Staff Data Scientist, to demystify the world of data. What’s the real difference between data engineers, analysts, and scientists? How do these roles work together to transform raw information into powerful insights? And why does good data feel a bit like high-octane fuel for AI?
Jiří shares his journey from studying math and physics at university to becoming one of the earliest data people at Mews—building dashboards, prediction models, and even a CO₂-monitoring pet project back when the whole company fit in one room. He breaks down what AI can do, what it really can’t, and why understanding models (and your data) matters far more than pressing “generate.”
They dive into the hype versus reality of GenAI, why arguing with an LLM is pointless, and how emerging concepts like semantic layers and agentic AI will shape the next wave of hospitality tech. Along the way, Jiří reflects on teaching beginners through Czechitas, the surprising joy of relearning fundamentals, and why diverse backgrounds strengthen product teams.
To learn more about Mews R&D team, check out our:
- website