Drag & Drop

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


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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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Website: itracusa.com
Contact: Feroz Khan

🎙️ This episode is brought to you by ITRAC.

ITRAC builds AI-ready, low-code-enabled teams.

We help organizations move from AI pilots to real production execution through:

• Strategic Staffing
• Enterprise AI & Low-Code Training
• Agentic AI Bootcamps
• CoE & Governance Advisory

AI creates momentum.
Execution creates advantage.

Whether you're scaling delivery or building your AI capability — we help you build it right.

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Drag & DropBy ITRAC – Helping Enterprises build AI-ready, self-sufficient Low-Code teams.

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