The convergence of agentic AI and data presents a powerful potential for innovation . Agentic AI, with its ability to independently take initiative and direct tasks, requires large volumes of data for training . Conversely, the interpretation of these datasets becomes far streamlined when facilitated by the reasoning of agentic systems. This collab

Telecommunications networks are undergoing a radical transformation, driven by the insatiable demand for increased speeds and seamless connectivity. To meet these demands, telecom operators are adopting AI-driven automation to optimize network performance, reduce costs, and offer a superior customer experience. AI algorithms can process vast amou