"Agentic AI burst onto the scene with its promises of streamliningoperations and accelerating productivity."
"But what's real and what's hype when it comes to deploying agentic AI?"
"This Special Report examines the state of agentic AI, the challenges organizations are facing in deploying it, and the lessons learned from success stories."
Agentic AI promises to streamline operations and accelerate productivity by automating decision-making and task execution. Organizations should target business processes with clear rules, repetitive tasks, and measurable outcomes for early wins. Tool evaluation must include agent orchestration, observability, integration, and safety controls to manage reliability and hallucination risks. Deployment challenges include governance, error handling, and cross-functional coordination. Platform approaches, iterative testing, and concrete success metrics help scale agentic systems while controlling risk. Near-term progress will focus on targeted automation, stronger guardrails, and improved development and monitoring tooling.
Read at InfoWorld US
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