Amdocs Picks Google Cloud for Real-Time Data Insights

Amdocs, a provider of software and services to communications and media companies, has announced a collaboration with Google Cloud to accelerate successful data transformations for communications service providers (CSPs) and better provide impactful real-time business insights.

Amdocs’ AI and Data Platform (previously DataOne) now leverages Google Cloud’s unified AI-ready data platform to help CSPs better leverage data to make business decisions. Further, the platform also uses Google Cloud Architecture Framework to create a layered and service-based architecture that leverages best practices for operational excellence, reliability, cost optimization, performance optimization, security, privacy and compliance. The result is a unified, telecom-specific real-time data source that integrates information from various systems across the business.

By combining Amdocs’ data insights with Google Cloud’s AI capabilities and BigQuery’s data assets, service providers can unlock new opportunities for innovation and efficiency, transforming customer experiences, business operations and revenue performance, helping CSPs evolve into true AI-driven service providers.

“Our collaboration streamlines the integration of diverse data sources, enabling real-time decision-making and personalized customer experiences,” said Vivek Gupta, Director, Telco Industry, Google Cloud. “This joint approach empowers CSPs to accelerate new revenue possibilities aligned with significant insights coming from their business.”

“Data is the foundation of any AI-powered experience, including the burgeoning world of generative AI experiences,” said Anthony Goonetilleke, Group President of Technology and Head of Strategy, Amdocs. “Yet, data is complex, and accessing it in a scalable, performant way that enables high-value insights is challenging. We are therefore excited about our collaboration with Google Cloud to simplify the process for service providers, helping them develop a competitive edge and deliver real-time, AI-driven outcomes based on enterprise-scale data readiness.”