The meteoric rise of generative AI has put this emerging capability at the forefront of thinking for CSPs worldwide. In fact 79% of organizations feel ready to exploit AI and machine learning's potential.
With its ability to generate human-like content and insights, generative AI promises to disrupt everything from customer engagement to network operations. But realizing its full potential requires an AI-optimized infrastructure.
Read this report to understand:
- Some of the different technologies and definitions behind the generative AI juggernaut
- Who is doing what in the generative AI value chain
- How CSPs are preparing themselves to implement generative AI
- Early experimentation and generative AI use cases
- The key challenges to developing and adopting generative AI
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