Image default

AI Survey 2026

The telecommunications industry is rapidly shifting from reactive,
predictive AI toward self-optimizing, autonomous networks. To manage
this shift from the core to the emerging edge, service providers require
an open, common cloud-native foundation. Red Hat streamlines AI
deployment across hybrid, multicloud, and edge environments by
decoupling software from hardware, bridging existing data silos. By
standardizing on right-sized AI, such as small language models
(SLMs), telcos can run efficient operations even on resource-
constrained hardware while maintaining absolute data sovereignty.

  • Provide a single, trusted foundation for both predictive analytics
    and GenAI across your network.
  • Deploy small language models (SLMs) to deliver precise,
    autonomous operations without the data leakage risks of generalist
    LLMs.
  • Embrace closed-loop automation to drive operational efficiency and
    accelerate your time-to-market.
View Whitepaper

Related posts

Delta Lake: The Definitive Guide

The future of AI-driven defense with Databricks

Building AI Trust eBook: Securing code in the age of autonomous development | White Paper