The article discusses the evolution of AI into Agentic AI, which enables systems to autonomously initiate and manage tasks. This shift signifies a departure from traditional model-centric development, creating a skills gap for engineers and data professionals who must now acquire the competence to design and operate these complex systems. It highlights the upcoming Agentic AI Summit 2025, which offers practical workshops aimed at developing agent-based systems and enhancing participants' skills in the rapidly evolving AI landscape.
Agentic AI refers to systems that don't just respond - they act, initiating tasks and adapting as they go, redefining AI capabilities in practical applications.
You need to know how to make [AI models] do things - reliably, efficiently, and securely. This marks a significant skills gap in the industry.
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