CSP strategies: The path to agentic AI and autonomy

The emergence of Agentic AI has given the telecoms industry fresh impetus in its bid to achieve AI-driven transformation. It offers the potential of moving beyond adopting AI as a tool to make employees more productive to using the technology to rethink and redesign entire processes and functions. But Agentic AI is - by some orders of magnitude - more complex than Generative AI. By definition Agentic AI is suited to automating multiple processes that sometimes sit across multiple functions and departments. This places huge demands on CSPs' ability to make the right data available, to minimize the risk of hallucinations and put in place governance the has different parts of the organization collaborating and moving in the same direction.

This webinar assesses the prospects for Agentic AI in the telecoms operator business and the strategies of some of the leading operators. It also includes data from a TM Forum survey of 150 AI decision-makers and their views on the potential and evolution of Agentic AI within telecoms.

Join this webinar to gain insights into the following issues relating to Agentic AI in telecoms.

• Where are the best opportunities for CSPs to use Agentic AI?
• Is the telecoms industry ready to adopt Agentic AI at scale?
• How does Agentic AI change telecoms operators' thinking about different use cases?
• To what extent does Agentic AI help CSPs to progress to using AI for automation and autonomy rather than augmenting human tasks and processes?
• How is Agentic AI impacting the requirements for CSPs to make the right data available for different use cases?