EnterpriseWeb & Snowflake Partner on Telco AI
EnterpriseWeb and Snowflake are partnering to create a deterministic knowledge plane for telecommunications companies. The collaboration aims to enable autonomous networks by combining their respective strengths in data and AI-driven process automation.
The collaboration will debut as a Snowflake Native App at Mobile World Congress 2026 in Barcelona, showcasing a practical path to creating autonomous networks. This move positions both companies at the forefront of the telecom industry's largest annual event, targeting operators aiming for self-scaling, self-optimizing, and self-healing network capabilities. At the core of the partnership is EnterpriseWeb's standards-based Telecom Ontology, which will run on Snowflake's AI Data Cloud. This ontology provides a harmonized, graph-based model of network operations, allowing for causal reasoning—understanding the "why" behind network events, not just the "what." This structure is designed to eliminate AI hallucinations and improve the quality of language-model inferences. For telecom operators, this means moving beyond probabilistic AI to deterministic, agent-based automation with auditable policy controls. The solution aims to provide accurate, explainable, and logically consistent outcomes for complex tasks like multi-domain orchestration and root cause analysis, which are critical for managing the growing complexity of 5G and IoT networks. The partnership taps into a significant market trend, with the autonomous networks sector valued at $5.82 billion in 2023 and projected to grow to $30.26 billion by 2032. A recent NVIDIA survey highlights the urgency, with 90% of telecom operators reporting that AI helps increase revenue and decrease costs, and 65% stating AI is the primary driver of network automation. Snowflake's Global Telecom CTO, Sreedhar Rao, noted that EnterpriseWeb's ontology "operationalizes Telco data in Snowflake." This addresses a core industry challenge: unifying massive, siloed data sets from varied sources to power advanced machine learning models for tasks like predictive maintenance and network optimization. This collaboration reflects a broader industry shift from simply providing connectivity to enabling intelligent, automated services. As telcos evolve into "AI infrastructure companies," the ability to deploy AI agents that can coordinate decisions across different network domains in real-time is becoming a key competitive advantage.