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 deliveryKey delivery risks unique to AI and MLWhat new roles you’ll find in cross-functional AI squadsHow to plan for iteration, uncertainty, and driftWhy ethical delivery and explainability matter📱 Connect with Mario De’Cristofano:LinkedInTwitter / XInstagramYouTubeWebsite💬 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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