The digital economy is rapidly transforming with the rise of AI and automation, prompting enterprises to seek specialized AI solutions. Enter “Agentic AI,” which facilitates task management by recognizing connections, adapting dynamically, and minimizing IT involvement. By 2028, Gartner predicts that 33% of enterprise software will incorporate Agentic AI, improving decision-making autonomy. Additionally, Small Language Models (SLMs), which range from 100 million to 7 billion parameters, offer a resource-efficient alternative to large models. These SLM-powered agents enhance operational efficiency, particularly in sectors like finance, by improving fraud detection and inventory management. However, the increasing independence of AI agents raises critical governance and safety concerns. Establishing robust governance frameworks is essential to ensure responsible AI actions. In this evolving landscape, the integration of specialized SLMs and AI agents will become vital, fostering a well-governed digital economy that balances autonomy with necessary oversight.
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