In partnership with


The telecommunications industry is facing a fundamental challenge as the cost of operations is increasing but revenue per user is not. Global data consumption over telecom networks will nearly triple, from 3.4 million petabytes (PB) in 2022 to 9.7 million PB in 2027. But revenues will rise at only a modest 4% CAGR to US ~$920 billion through 2027. At the same time, telecommunications companies are projected to invest US ~$340 billion in their networks in 2027 alone*. Hence there is a pressing need for telcos to increase revenue and improve efficiency.

Join us for this webinar designed exclusively for Vodafone and discover how a major US telecommunications provider built a semantic layer using Snowflake and RelationalAI, to increase revenue and improve efficiency. This semantic layer combines data from operations and business units to act as a solution for a wide variety of use cases. This combination enables this provider to model its entire business in a knowledge graph. 

In this 45-min session, you will learn:

  • The use cases and business impact that Snowflake and RelationalAI are delivering today to a major US telecommunications provider
  • How Vodafone can leverage the same capabilities to build an enterprise-wide model of their business in a knowledge graph, reducing resource duplication and eliminating data silos
  • Potential use cases that can deliver immediate value to Vodafone (e.g., identifying high-value customer communities, tackling fraud, and optimizing network resources).


Who should attend:

  • Data platform leads
  • Head of Data & Analytics
  • Architects
  • Data Engineers
  • Data Scientists
  • Anyone interested in leveraging the latest advancements in data analytics


  • Introduction to Snowflake and RelationalAI 
  • Overview of semantic layers for telco and example use cases
  • Customer case study
  • Demo
  • Q&A
  • Varun Khandelwal

    Principal Sales Engineer

  • Marco Diciolla


  • Piotr Kraus

    Director Presales EMEA