AI network automation faces data, integration and scale gaps
India, Oct. 3 -- Artificial Intelligence (AI) is moving deeper into telecom networks, from predictive maintenance and traffic management to increasingly autonomous operations. But as operators try to scale these capabilities, fragmented data, integration gaps, orchestration and governance are emerging as critical constraints.
We thought it was a snowman, but it turned into a snowball. It is staggering how fast the glacial forces of AI have melted and reached the farthest corners of the modern world's plains and islands. It was only reasonable to expect this force to flow into networks, too.
AI in networks is projected to reach USD 46.87 billion by 2029, according to MarketsandMarkets. Grand View Research estimates the market will grow f...
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