CIOs face a critical shift toward agentic AI, which demands an overhaul of core IT architectures. Unlike traditional systems, agentic AI requires real-time, event-driven architectures (EDA) to enable seamless communication among autonomous agents. This transition necessitates a robust data streaming and messaging backbone that can handle the complexity of multi-agent interactions. Additionally, the new IT workforce should include roles like agent orchestrators and specialized MLOps engineers to promote oversight and manage the performance of interconnected agents.
Companies must evaluate whether to buy off-the-shelf solutions or build customized systems that provide a strategic advantage. While ready-made agents can quickly add value in non-differentiating tasks, bespoke solutions are essential for unique competitive performance. A hybrid approach, combining both strategies, is recommended to design a modular architecture that accommodates both vendor solutions and tailored agents. The move to an agentic enterprise is imperative, and CIOs must act decisively to prepare for this reality by initiating comprehensive architecture reviews and fostering new talent profiles to manage autonomous systems.
👉 Pročitaj original: CIO Magazine
