Show Notes
AI projects aren’t coming—they’re already here. Whether it’s chatbots, LLM integrations, or data-driven automation, Delivery Managers are being pulled into artificial intelligence delivery whether they’re ready or not. In this episode, Mario breaks down why AI projects are fundamentally different from traditional software builds, what new skills and frameworks are needed, and how Delivery Managers can take the lead in a landscape full of fuzzy scopes, probabilistic outputs, and ethical pitfalls. This is a practical, no-fluff briefing for anyone managing teams in the age of machine learning and GenAI.
🔑 What You’ll Learn: Why AI projects behave differently than standard delivery Key delivery risks unique to AI and ML What new roles you’ll find in cross-functional AI squads How to plan for iteration, uncertainty, and drift Why ethical delivery and explainability matter
📱 Connect with Mario De’Cristofano: LinkedIn Twitter / X Instagram YouTube Website
💬 Have questions or ideas for the show? Send a message on LinkedIn or drop a voice note via the link in the show bio. 🎧 Subscribe, share, and keep delivering. Follow Mario De’Cristofano: 🔗 LinkedIn:https://www.linkedin.com/in/mariodecristofano 🐦 Twitter/X:https://twitter.com/mariodc 📸 Instagram:https://www.instagram.com/mariodc ✍️ Medium: https://medium.com/@mariodecristofano 🧠 Blog:https://www.mariosblog.co.uk Hosted on Acast. See acast.com/privacy for more information.
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