Agentic AI: The top challenges and how to overcome them [Video]

Before deploying agentic AI, enterprises should be prepared to address several issues that could impact the trustworthiness and security of the system.

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As generative AI continues to surge in popularity, we are already seeing it evolve into the next generation of machine-learning-driven technology: agentic AI.

With agentic AI, we are not just prompting models and receiving an answer in a simple one-step process. The AI is engaging in complex multi-step processes, often interacting with different systems to achieve a desired outcome. For example, an organization could have an AI-powered help desk with agents that use natural language processing to understand and process incoming IT support tickets from employees. These agents could autonomously reset passwords, install software updates, and elevate tickets to human staff when necessary. 

Agents will be one of the most significant innovations in the AI industry, possibly more impactful than future generations of foundation models. By 2028, Gartner predictsthat …