"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. Explore what's happening now with agentic AI and what the near future holds."
"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. Explore what's happening now with agentic AI and what the near future holds. Contents: - The agentic AI reset is here"
Agentic AI promises to streamline operations and accelerate productivity while prompting a market reset as organizations separate hype from practical value. Deployment challenges include integration with existing systems, reliability, governance, and measuring real ROI. Organizations should identify business processes with repetitive decision points, knowledge work bottlenecks, and customer-facing workflows as prime targets for AI agents. Evaluating AI agent development tools requires assessing orchestration, observability, safety controls, and extensibility. Real-world implementations, such as LinkedIn’s platform work, demonstrate the importance of platform architecture, iteration, and lessons around governance, scalability, and cross-functional adoption for near-term success.
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