Gigabit Internet, IoT and VOIP

 his video features a discussion about the impact of Generative AI in the telecommunications industry.

Key points include:

• Production Requirements:  For AI to be effective in telecom, companies must have clean, organized, and consolidated data to avoid silos, alongside strong governance to monitor data usage and outcomes 
• Operational Benefits:  AI helps telecom companies handle massive amounts of subscriber and product data, enabling faster problem-solving and richer customer interactions 
• Measuring Success:  While measuring impact is a work in progress, early successes include small-to-medium business (SMB) growth, with one customer seeing 20% growth by leveraging AI to analyze multiple data sources 
• Future Outlook:  The interviewee notes that while the industry is in the early stages of this technology, the potential is endless, particularly in driving revenue, improving efficiency, and supporting sectors like healthcare  

Telecom operators have invested heavily in fibre, connectivity, 5G and digital infrastructure — but have not always captured the full value of those investments. In 2026, AI presents a new opportunity to change that.
 

In this video, you’ll learn:

• Why AI represents a new strategic opportunity for telecom companies
• Why telecom operators have not always realised the full value of previous infrastructure investments
• How AI can help operators control costs, grow revenue and retain customers
• Why reinvesting for the AI era matters in 2026
• Why falling behind on AI adoption could become increasingly difficult to reverse