1. Agentic AI - Where to Start with AI in the Enterprise скачать в хорошем качестве

1. Agentic AI - Where to Start with AI in the Enterprise

AI agents and GenAI technologies are everywhere—every headline, every conference, every boardroom discussion. But for enterprise teams with real deadlines, real systems, and real customers, one question towers above the hype: Where do you actually start? In this conversation, Adrian Wright (CEO & Founder, Estafet) sits down with Branimir Angelov (Enterprise Architect) to give project managers, architects, and digital transformation leaders a practical, risk-aware framework for identifying real AI opportunities inside an organisation. Whether you’re responsible for an application, workflow, or integration project, this session helps you understand: How to evaluate whether AI is suitable for your specific problem The difference between bounded vs. unbounded problems When to use GenAI (LLMs) vs. traditional AI/ML models How much data you actually need Where not to start with AI Why workflows often provide safer, faster, lower-risk wins than core customer-facing applications How to measure whether AI truly improves quality, cost, or efficiency Branimir breaks down the decision-making process in a simple, actionable way—perfect for enterprises at the early stage of their AI adoption journey. What You’ll Learn ✔ How to classify problems inside your workflow ✔ When human interaction implies an unbounded problem ✔ Why deterministic “if-then-else” applications may not benefit from AI ✔ How foundation models reduce the data barrier ✔ Why risk and measurement capability matter more than model choice ✔ Practical guidance for early enterprise AI pilots