Agentic AI is the latest buzzword in Generative AI—but is it truly revolutionary or just a new way of structuring AI workflows?
In this episode of The Generative Edge, hosts Brandon Eychaner and Stephanie Cohen (Deloitte Central Europe) break down what Agentic AI is, how it differs from traditional AI systems, and what it means for decision-making, automation, and ethics. They explore the risks, benefits, and real-world applications of AI with agency—where models don't just process inputs but decide their own next steps.
From workflow automation to AI-driven decisions, this conversation explores where Agentic AI fits into today's business landscape and whether it's ready for large-scale adoption. The discussion also covers key ethical concerns and practical developer tools to help listeners get started.
In this episode:
- What Agentic AI actually is and how it works
- How it compares to traditional AI workflows
- The risks and limitations—can AI really make decisions?
- Ethical concerns and common AI errors
- The future of AI-driven automation
Is Agentic AI the next big step or just a reshuffling of AI architecture? Tune in to find out!
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