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CASE STUDY - GCP for Generative AI in Telecom

Leading telecom provider partnered with us to implement Generative AI (GenAI) solutions using Google Cloud Platform (GCP). The initiative focused on modernizing enterprise search, enhancing customer experience, and enabling AI-driven automation across functions.

Key GCP Functions Used

  • BigQuery & Neural Vector Search (NVS): For scalable, AI-powered personalized search.
  • GCP DLP & Ray Cluster: For secure processing and intent-based search integration.
  • GCP PaLM API: For dynamic summarization and text generation.
  • GCP IAM & Compute: For secure, scalable infrastructure and LLM deployment.

Use Case Highlights

  • Personalized Neural Vector Search (PNVS) to reduce overhead and improve search accuracy.
  • VEGAS AI Search for context-aware billing queries and RAG-based GenAI use cases.
  • Knowledge-as-a-Service (KaaS) for curating unstructured data for AI readiness.
  • Galileo LLMOps for evaluating model performance and ensuring responsible AI

Benefits to the Telecom Provider

  • Enhanced Customer Support: Personalized, AI-generated responses and reduced resolution time.
  • Increased Revenue: Intelligent recommendations and customer-specific insights boost conversions.
  • Operational Efficiency: Automates data access and minimizes manual intervention.
  • Scalable AI Foundation: Enables future GenAI applications and cross-platform integrations.

This illustrates how GCP is empowering telecoms to transform customer engagement and accelerate AI-driven innovation.

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