"Agentic AI: The Future of Tech Innovation"

𝐓𝐡𝐞 𝐑𝐢𝐬𝐞 𝐎𝐟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: 𝐓𝐡𝐞 𝐄𝐧𝐳𝐨 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 📰🚀 Welcome to ‘The Enzo Edition’. Where we explore the current, key themes shaping today’s tech landscape while shining a spotlight on the expertise of our senior leaders. In our first edition, we discuss the significance of agentic AI and how it differs from traditional generative AI - curated with insights from Humza Khan, Vice President of our U.S. division, and his extensive experience building global agentic AI teams. 📈 Forward-thinking companies are no longer asking: “How do we use AI?” → They’re asking: “How do we build AI agents that can reliably deliver real operational impact?” This shift transforms LLMs from passive assistants into operational units capable of driving meaningful automation. The truth is, AI is moving - fast. And while both the terms agentic and generative are often used interchangeably, they represent two very different stages of AI evolution. Agentic AI, at its core, is designed to take action autonomously. Through reasoning, planning, and executing tasks end-to-end, it moves beyond reactive outputs to actively manage systems and automate complex processes. ➡️ Supply Chain Management Systems ➡️ Cyber Security Agents ➡️ Software Development Assistants Generative AI delivers results, but remains fundamentally reactive. It learns the structure, tone, and patterns within massive datasets, then uses that knowledge to produce original outputs - and it’s only as effective as the person directing it. ➡️ Code Generation ➡️ Customer Service Chatbots ➡️ Large Language Models The companies shaping the future aren't just experimenting with AI, they’re building agentic AI systems that integrate across workflows, and drive real business impact. 💭How is your organization optimizing towards agentic AI? #TechInnovation #ThoughtLeadership #AgenticAI