This article explores Agentic AI, which merges large language models with traditional AI and automation to enhance decision-making and creativity. It underscores the need for integrating process engineering to develop user-centric systems. Companies face a choice in how to adopt agentic solutionsâeither by building proprietary platforms or leveraging existing frameworks to engage users effectively. The emphasis is on understanding agentic AI's role in reshaping digital interactions, imperative for designers, technologists, and business leaders aiming for innovation in technology.
Agentic AI, which integrates large language models with traditional machine learning and automation, represents a paradigm shift in how technology engages with users, emphasizing user-centered design.
Companies must determine their role in the evolution of agentic systems, looking at whether they will develop their own solutions or rely on existing platforms to shape user interactions.
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