How Vodafone is using gen AI to enhance network life cycle

Generative AI is transforming industries across the globe, and telecommunications is no exception. From personalized customer interactions and streamlined content creation to network optimization and enhanced productivity, generative AI is poised to redefine the very fabric of the telco industry. 

Vodafone, a global leader in telecommunications, recognizes the immense potential of gen AI to revolutionize its network operations, engineering and development. As part of its growing, decades-long partnership Google Cloud, Vodafone is embarking on an exciting journey to integrate generative AI into its network departments, aiming to drive innovation, optimize costs, and enhance efficiency.

This blog post will dive into the new and novel ways Vodafone and Google Cloud deployed generative AI to unlock new levels of efficiency, creativity, and customer satisfaction. We'll explore real-world use cases and provide a glimpse into the future of this transformative technology within Vodafone.

The genesis of generative AI in Vodafone's network

The seeds of this collaboration were sown in late 2023 when Vodafone and Google Cloud initiated discussions about the potential applications of gen AI in network use cases. Recognizing the transformative power of this technology, Vodafone and Google Cloud organized a hackaton in March 2024, bringing together over 120 network engineers with limited experience with AI/ML, but a lot of experience on networks and telecommunications. 

This event served as a catalyst for innovation, resulting in the development of 13 demo use cases powered by a mix of Vertex AI Search & Conversation, Gemini 1.5 Pro, code generation model, and traditional ML algorithms. These included:

• AI-powered site assessments: Using images to instantly assess the feasibility of solar panel installations at RAN sites.
• Doc search for Root-Cause-Analysis (RCA): Enabling employees to quickly discover relevant data through natural language queries.
• Natural language to SQL (NL2SQL): Creating user-friendly interfaces to empower non-technical colleagues to leverage generative AI for tasks like generating SQL queries.
• Network optimization: Developing AI-powered tools to diagnose network issues, predict potential outages, and assist with configuration tasks.

These innovative solutions demonstrate the ease with which generative AI can be applied to real-world challenges within the telecommunications industry, made possible by combining Vodafone's industry expertise with the growing capabilities of cloud technology. The innovative use cases explored during the Vodafone and Google Cloud hackathon, particularly those focused on RCA and NL2SQL, were showcased jointly at the DTW 2024 event in Copenhagen, sparking significant interest from other telecommunications providers eager to harness the power of generative AI.

Unveiling the potential: Understanding the network design, deployment and operations workflows

Vodafone and Google Cloud conducted extensive interviews with various network stakeholders to gain a deep understanding of the typical working day in network departments. These interviews shed light on the pain points and challenges faced by network professionals, revealing a vast landscape of opportunities where gen AI could add significant value. 

The subsequent business case analysis demonstrated the potential for substantial cost and time savings through the implementation of gen AI solutions.

With more than 100 use cases outcoming from this discovery phase in the network space (in the image above we have reported only the ones for Network Engineering department), Vodafone and Google Cloud showcased the tangible benefits of gen AI in streamlining workflows, enhancing decision-making, and driving efficiency. Here’s a prioritized sample of gen AI for network use cases which Vodafone is developing with Google Cloud:

• Empowering network operations with knowledge at their fingertips

Network operations teams often face the challenge of accessing critical information during complex incidents. Shifting from vast documentation, incident reports, network architectures, and strategic blueprints can be time-consuming and hinder swift resolution. Vodafone is using Vertex AI Agent Builder ability to extract and synthesize pertinent information from these documents, providing network operators with instant access to the knowledge they need. This empowers them to make informed decisions faster, reducing downtime and enhancing overall network reliability.

• Streamlining network engineering with automated documentation

The creation of technical documentation, such as network diagrams, high-level designs (HLDs) and low-level designs (LLDs), is a complex and time-intensive process. It often involves multiple engineers and vendors, leading to potential delays and inconsistencies. Vodafone will leverage AI and Gemini multimodal capabilities to automate the drafting of these documents. While human oversight remains crucial, gen AI can provide a solid foundation, saving engineers valuable time, accelerating time-to-market, and improving the accuracy and consistency of technical documentation.

• Transforming network development with data-driven insights

Network development teams are inundated with vast amounts of contractual data, making analysis and decision-making a daunting task. Vodafone will use gen AI to analyze thousands of contracts, extracting key clauses and providing valuable insights for contract template generation. Furthermore, gen AI can enable the creation of digital twins of the Vodafone network, coupled with ground classification capabilities. This allows for more efficient and accurate planning and execution of new network interventions, minimizing errors and optimizing resource allocation.

• Enhancing customer fulfillment with AI-powered field technicians

Field technicians play a crucial role in ensuring customer satisfaction. However, truck rolls (on-site visits) are costly and time-consuming. Vodafone will use gen AI to empower field technicians with real-time information and multimodal troubleshooting guidance, reducing the need for truck rolls and enabling more effective on-field resolutions and avoiding repeat dispatch. This will translate into significant cost savings for Vodafone and improved customer experiences.

These use cases highlight the transformative potential of gen AI in revolutionizing various aspects of Vodafone's network operations. By embracing gen AI, Vodafone is not only driving innovation but also paving the way for a more efficient, agile, and customer-centric future.

Vodafone's big bet: generative AI for the future

The integration of gen AI into Vodafone's network departments is poised to deliver a multitude of benefits:

• Accelerated automation and zero-touch ops: Gen AI can expedite the automation of network tasks, enabling Vodafone to achieve its automation goals faster and more efficiently.

• Cost reduction: By automating routine tasks and optimizing network operations, gen AI can significantly reduce operational costs for Vodafone.

• Time savings: Gen AI-powered solutions can streamline workflows and enable faster decision-making, leading to substantial time savings for network professionals.

• Enhanced efficiency: Through intelligent automation and optimization, gen AI can improve the overall efficiency of Vodafone's network operations.

• Innovation catalyst: Gen AI opens up new possibilities for innovation in network design, optimization, and management, empowering Vodafone to stay ahead of the curve.

Building on past success: AI Booster and Neuron

Vodafone is embarking on an ambitious journey to integrate generative AI across its operations, and this endeavor is firmly rooted in two powerful programs: AI Booster and Neuron. These initiatives provide the foundation for Vodafone's exploration and implementation of cutting-edge AI solutions.

AI Booster, a sophisticated machine learning platform built on Google Cloud's Vertex AI, serves as the engine room for Vodafone's AI development. This platform is designed for speed and efficiency, enabling rapid development and deployment of AI models. With robust automation and security features, AI Booster empowers Vodafone's data scientists to seamlessly move from proof-of-concept to production, significantly accelerating the pace of innovation.

Complementing AI Booster is Neuron, Vodafone's custom-built "data ocean" residing on Google Cloud. Neuron acts as a central hub, aggregating vast amounts of data from across the organization into a unified and readily accessible repository. This data serves as the lifeblood for AI model training and analysis, fueling the development of powerful generative AI applications.

Imagine having an AI that can analyze the performance of network components, predict potential failures, and even suggest optimal configurations to prevent outages. This is the type of transformative power that Vodafone is unlocking by combining AI Booster's model development capabilities with Neuron's rich data resources.

The synergy between AI Booster and Neuron allows Vodafone to not only develop cutting-edge AI solutions but also to deploy them quickly and effectively. This translates to faster insights, more accurate predictions, and ultimately, a superior customer experience. By investing in this robust foundation, Vodafone is positioning itself at the forefront of the generative AI revolution in the telecommunications industry.

Conclusion

Vodafone's work on generative AI marks a significant milestone in the journey towards an AI-powered future for CSPs. By harnessing the transformative capabilities of gen AI, Vodafone is poised to unlock new levels of efficiency, innovation, and cost savings. This strategic partnership with Google Cloud exemplifies Vodafone's commitment to pushing the boundaries of technological advancement and delivering exceptional network experiences to its customers.