How AI is Shaping the Future of Telecom Operations

After several years of experimentation and pilot projects, AI in the telecoms industry is now beginning to show measurable improvements. Industry data from providers, such as Subex, indicates that billing queries can be reduced by up to 60% through better automation and error reduction.

However, research conducted by MIT highlights a wider shift across the sector from early-stage innovation in labs to embedding AI solutions directly into operational IT systems.

These findings underscore a maturing landscape, where both vendors and communications service providers (CSPs) are focusing on practical deployment and demonstrating clear returns on investment.

Within this evolving context, Cerillion is providing a true product approach with AI built into the core of its BSS/OSS product suite, so CSPs can immediately benefit from the technology without needing any specific AI expertise or complex integration. This follows a “Bring Your Own” AI model, which supports all the major public large language models (LLMs), but can equally be used with private models.

In recognition of this progress, Cerillion has recently been positioned in Gartner’s Magic Quadrant™ for AI in CSP Customer and Business Operations. This new report reflects how AI capabilities are now becoming integral to core telecom operations, moving beyond pilot projects into large-scale deployments. With many CSPs looking to Gartner research when shaping their technology strategies, this acknowledgement underscores the growing importance of embedding AI within BSS/OSS platforms to deliver measurable business outcomes.

A key area of Cerillion’s solution involves GenAI-powered image recognition to support rapid product configuration.

This approach allows CSP teams to sketch new product ideas on a whiteboard, upload a picture into Cerillion’s Enterprise Product Catalogue, and the configuration is built automatically. This is already proving to significantly shorten product development lifecycles, with time savings of up to 95%.

Additionally, the company’s AI-driven promotions engine is used to support faster and more precise marketing campaigns, enabling offers tailored to customer behaviour and preferences.

AI adoption in telecoms is now focused towards delivering outcomes that matter, including:

  • Improving campaign efficiency and ROI
  • Optimising lead generation and conversion
  • Growing customer lifetime value
  • Improving operational efficiency

As technologies continue to advance, CSPs face increasing pressure to move beyond AI pilot projects and demonstrate tangible business value. Successful deployments are expected to integrate AI capabilities within core business support systems (BSS) and operations support systems (OSS), ensuring scalability, compliance, and smooth operation alongside existing infrastructure.

CSPs who effectively embed AI into their business processes, treating it as a foundational operational capability rather than a standalone feature, are likely to achieve faster and more sustainable benefits.

For CSPs aiming to modernise, the industry is at a turning point. Third-party benchmarks, such as those from Subex and academic studies from MIT, show a sector-wide transformation is underway. Cerillion’s ongoing innovation efforts, including AI-powered image recognition for product setup and AI-driven promotions, exemplify how emerging technologies can contribute to operational improvements and greater responsiveness to market needs.

 

AI Innovation in Telecom Edge with Dell and Intel

Dell Technologies today announced the expansion of its Dell AI for Telecom programme, in collaboration with Intel bringing new AI-driven solutions to communications service providers (CSPs) in Ireland.

This initiative aims to support network operations and enterprise edge use cases, enhancing efficiency, reliability, and cost savings. This expansion is particularly relevant for the Irish market, where CSPs can benefit from these advanced solutions.

To fully harness AI’s potential, CSPs require infrastructure capable of processing a growing amount of real-time data. The Dell AI for Telecom programme offers a comprehensive ecosystem of hardware, software and AI expertise, enabling CSPs to implement AI efficiently and develop revenue generating services by harnessing the power of data.

The new solutions enable CSPs to integrate AI into their networks and build AI solutions at the edge, allowing CSPs to monetise their network investments and enterprise clients.

 Network Operations Solutions:

  • Intent-Based RAN Assistant with Aira: This tool, powered by AiRA Technologies, helps network engineers by gathering data and creating simple applications based on their needs. It speeds up app development and makes network operations more efficient.
  • Network Traffic Analysis and Optimization with Opanga: This software, placed in the core of the mobile network, gives operators a clearer view of data traffic, significantly boosting network efficiency.
  • AI-Powered Network Automation with EnterpriseWeb: The Netwrx.ai tool offers 5G network automation, allowing users to manage and set up network components through a natural language interface.

 

Enterprise Edge Solutions:

  • AIoT-Powered Site Security with EPIC.IOCombines AI models with IoT technology to automate security operations and provide centralized management for safer venues.
  • Vision AI for Smart Manufacturing with Chooch: Uses computer vision to predict and detect incidents, improving efficiency and preventing production interruptions in manufacturing.
  • AI-Powered Mission Critical Communication with Ecrio: Facilitates voice commands for controlling IoT devices like cameras, drones, and robots.
  • Real-Time AI-Powered Crowd Analytics with WaitTime: Utilizes video analytics from existing cameras to offer real-time insights, helping optimize operations.
  • AI-Powered Smart Transportation with A.I Tech: Employs AI and deep learning for video analysis, enhancing transportation systems by monitoring vehicles, traffic, parking, and pedestrian movement.
  • Footfall and Crowd Analytics with TensorGo: Uses video analytics to track foot traffic and crowds, supporting safety in smart cities and retail spaces.
  • AI-Powered Worker Safety and Hazard Detection with Aotu: Applies AI for real-time video analysis to ensure worker safety.
  • Intelligent Video Analytics for Retail, Transportation, and Ports with Gorilla: Uses existing CCTV footage to detect suspicious activities and provide useful analytics.
  • AI-Powered Video Analytics for Safety with Axxonsoft: Helps maintain site security across different industries using AI.
  • Inventory Visibility and Management with C5i: Identifies inventory issues and suggests proactive measures.

Andrew Vaz, VP, Product Management for Telecom System Business at Dell Technologies said: “To fully harness AI’s potential, communications service providers (CSPs) require an infrastructure capable of processing real-time data. Our Dell AI for Telecom program offers a comprehensive ecosystem of hardware, software, and AI expertise, empowering CSPs to efficiently implement AI and develop revenue-generating services. The new solutions help CSPs easily bring AI into their network for efficiency, reliability, and cost savings, and build AI solutions at the edge to monetize the investments in their network with the enterprise.”

As demand for AI solutions grows, Intel and Dell have optimized edge AI applications running on Dell PowerEdge XR8000 servers, powered by Intel Xeon processors. These applications offer optimized edge AI capabilities, ruggedized hardware, multiple connectivity options, validated designs, flexible workloads, and scalable infrastructure.

With these advancements, Dell and Intel are poised to lead the charge in AI innovation for telecom, creating a smarter and more efficient future for the industry in Ireland and beyond.

Explore how your CSP can benefit from AI.