Why Most AI Projects Fail and How Low-Code Can Fix It | Ricardo Perdigão, Mendix

They called him “ChatGPT” when everyone else thought it was just hype.

Now Ricardo Perdigão is proving how AI and low-code belong together.

As Solutions Architect Manager and AI Practice Lead at Mendix, Ricardo’s passion for AI has made him the go-to voice on how enterprises can embrace it without losing sight of the fundamentals. From guiding customers on data preparation to advising R&D on what’s coming next, he’s at the center of where low-code and AI converge.

In this episode of the Drag & Drop Podcast, Ricardo shares:

🔘 Why so many AI projects fail and how to avoid it
🔘 The overlooked importance of data preparation
🔘 How Mendix is embedding AI directly into the platform
🔘 Why “cool demos” aren’t enough without internal knowledge
🔘 His vision for a future where low-code and AI merge seamlessly

Ricardo’s enthusiasm for AI is infectious, and his vision for its future in low-code is one you won’t want to miss.

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THIS EPISODE IS BROUGHT TO YOU BY ITRAC.

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