AT&T: Targeting cost and operational efficiencies as initial genAI benefits
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Operator strategies continue to evolve in the digital era as the telecoms industry seeks to capture new growth opportunities in the consumer and enterprise markets. Assessing innovation and achievements is more important than ever before. GSMA Intelligence's operator case studies provide a concise and consistent way to shine a light on and analyse operators' strategies and business models, as well as how they are launching new services. In this edition, we analyse how AT&T is utilising generative AI, including an initial target of cost and operational efficiencies.
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Digital transformation of vertical sectors is accelerating, with AI being a top area of investment. GSMA Intelligence surveyed nearly 4,200 enterprises across 21 countries and 10 vertical sectors to gain relevant insights into their digital transformation across a range of technologies. This report analyses the key findings and implications for AI.
Five ways fixed broadband operators are using AI
GSMA Intelligence has identified five AI use cases for fixed broadband operators that aim to enhance customer experience while reducing costs: AI for network optimisation, AI for fibre rollout, AI integrated into CPE, AI for sales and marketing, and AI for customer service.
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