AI-powered telecommunications: How it’s enabling change. Every business is experiencing previously unheard-of levels of upheaval and transformation due to AI, but the telecom sector is at an especially intriguing crossroads: Data is expanding rapidly, the industry is standardizing on 5G, and consumer expectations are rapidly shifting. Prominent CSP communication service provider are collaborating with Google Cloud to embrace AI and drive innovation in the sector.
At Google Cloud, therefore firmly think that AI, when used responsibly and aggressively, has the ability to revolutionize the way CSPs function on a global scale, and therefore are dedicated to providing the tools, resources, and technologies that enable them to do so. These AI-powered solutions and strategic partnerships help CSP communication service provider innovate and expand their companies by improving consumer experiences, streamlining network operations, and establishing a solid data foundation.
Let’s take a look at the announcements as made with industry leaders to develop AI-driven telecoms in advance of make progress to the Mobile World Congress 2025 next week.
Data migrations are key to adopting AI
To properly deploy AI, CSP communication service provider usually need to consolidate their data. This is aided by Google Cloud’s BigQuery and Looker tools, which can store and arrange enormous volumes of data, forming scalable data lakes and oceans that both data scientists and businesspeople may examine. An open approach makes it possible to integrate with current systems, simplifying data management and accelerating benefits. CSPs may develop new services, generate individualized experiences, and obtain actionable insights when paired with the artificial intelligence infrastructure.
Cloud CSP communication service provider
DNA, a Telenor company, chose Google Cloud to speed up its cloud migration and support its reliable and fast services. It can then gradually shift its on-premises workloads to Google Cloud and deploy generative AI.
Vodafone Italy also revealed that it has updated its data architecture by developing Nucleus, a new AI-ready platform on Google Cloud. The business benefits from increased scalability, real-time data processing, and process efficiency as a result.
Vodafone re-engineered its data pipelines in collaboration with Amdocs and Google Cloud to support business-critical operations and streamline operational workflows. In under 12 months, the migration to Nucleus was completed without any problems or disruptions. Key advantages of the company’s contemporary design include increased agility, better real-time processing, cost optimization, and more effective reporting.
From reactive to proactive network operations with AI
Telecommunications operators always struggle to maintain optimal network performance and reliability as they transition from reactive to proactive network operations with AI. Conventional reactive network management techniques may result in lower customer satisfaction, higher operating expenses, and service interruptions.
Via intelligent automation, Google Cloud’s AI-powered platform which comprises Vertex AI and Network Intelligence Center allows telecom companies to use BigQuery to analyze network data in order to spot irregularities, forecast outages, and instantly optimize traffic flow. In addition to lowering expenses and increasing dependability, this move from reactive to proactive management enables CSP communication service provider to build self-healing networks that can dynamically adjust to shifting circumstances.
Bell Canada’s new AI Ops solution automates network issue identification and remediation using Google Cloud’s AI technology. Bell has reduced customer-reported issues by 25%, improved customer experience and solution reliability, and increased software delivery productivity by 75%, expediting time to market, by collaborating with Google Cloud.
Additionally, Deutsche Telekom is developing a network AI agent dubbed RAN Guardian using Google Cloud’s Gemini 2.0 in Vertex AI. This agent can analyze network behavior, identify performance problems, and take corrective action to enhance customer experiences and network reliability.
Through this partnership, autonomous, self-healing networks that proactively maximize RAN performance and lower operating expenses are to be developed.
Next up is Amdocs, a top supplier of software and services to media and communications firms. RThe business introduced a new Network AIOps solution with Google Cloud to automate complex network operations, improve service reliability, and enhance user experiences for 5G network operators.
AI-powered insights can help CSPs improve their operations and services, boosting customer satisfaction and loyalty.
Empowering field technicians with AI
In field service operations, CSPs frequently encounter difficulties like ineffective dispatching and a deficiency of real-time diagnostics, which result in longer resolution times and more downtime for customers. Field personnel are equipped with real-time diagnostics, predictive maintenance, optimized routing, and agentic workflows driven by Gemini through Google Cloud’s platform, which also includes a multimodal field-tech AI assistant and Customer Engagement Suite.
Faster issue response and fewer worker deployments result from this. AI-powered diagnostics proactively find and fix possible problems. By anticipating equipment breakdowns, predictive maintenance models allow for planned repairs. Gemini and agentic workflows give specialists access to a vast knowledge library for quicker troubleshooting. Efficient dispatch is ensured by smart routing.
When combined, these AI-powered solutions contribute to a more efficient, client-focused field service operation that offers quicker and more efficient assistance. For instance, TELUS’ NEO Assistant is a cutting-edge multimodal AI copilot that uses cutting-edge AI and machine learning technologies, such as Google Cloud’s Gemini model, to expedite workflows and give field personnel immediate access to vital information.
Three-quarters of TELUS field technicians have used NEO Assistant since its inception, and it has helped create almost 7,000 jobs and greatly boost productivity by enabling tasks to be finished in less than a minute.
Delighting customers with AI-driven insights
CSPs are under increasing pressure to manage costs, deliver excellent customer service, and manage complex client journeys across several channels. Google Cloud’s Customer Engagement Suite, Vertex AI, and Vertex AI Search help CSP communication service provider create great customer experiences. Using AI-driven consumer behavior data, CSPs may anticipate demands, address issues, and provide customized recommendations and seamless interactions to boost customer satisfaction and revenue.
With tools like NotebookLM Enterprise for strategic decision-making and data analysis, and a Customer Agent using Gemini 2.0 that reduces response times and is expected to reduce billing-related calls by 25% annually, Chunghwa Telecom is leveraging Google Cloud’s AI to improve strategic decision-making and data analysis. Additionally, by doing away with human invoice processing, automating roaming charge verification with Document AI improves operations and lowers costs, potentially saving money for both the business and subscribers.
Glance uses Google’s AI models, such as Imagen and Gemini, to create visually stunning and AI-powered experiences that make users feel like the “heroes” of their digital world. Using user interests and user-uploaded photographs, GlanceAI provides an immersive shopping experience that captivates customers and helps them see themselves in different styles so they can make selections in real time. Here, AI turns a cursory look at a gadget whether it’s on an ambient TV screen or the lock screen of a smartphone into an engaging shopping experience.
Unlocking new revenue streams through APIs
Due to pressure to innovate and the expensive cost of network deployment, CSPs are investigating APIs and hiring developers to make money off of their networks. By offering the required infrastructure and tools, Google Cloud’s developer-centric platform makes network asset monetization easier. Projects such as GSMA Open Gateway facilitate developer access to network capabilities and collaboration.
Google released a new Firebase phone number verification service yesterday, which builds on the Open Gateway philosophy and gives over three million Firebase developers access to vital network CSP APIs like phone number acquisition and verification. In order to enhance developer and end-user experiences and enhance security by reducing fraud, one can are collaborating with Deutsche Telekom, Orange, Telefónica, T-Mobile, Telenor, Verizon, Vodafone, and other companies to provide this service. This will open up new revenue streams for both CSPs and developers.
The future of AI in telecommunications
Google Cloud is leading the way in this shift, and MWC 2025 is a significant time for AI-driven telecom innovation. It guarantees that as CSP communication service provider continue to adopt AI in the upcoming months, they will enhance consumer experiences, create new efficiencies, and spur corporate expansion.
