Selector AI launches innovations to enhance network operations

Selector AI has announced several innovations aimed at enhancing network and infrastructure operations through artificial intelligence.

The company's new offerings include the industry's first Network Language Model (NLM), improved digital twin capabilities, and programmable synthetics. These advancements are designed to reduce operational complexities, hasten issue resolution, and speed up decision-making using AI-powered insights.

According to Selector AI, their platform remains the sole unified AIOps solution that integrates monitoring, observability, and multi-domain operations into one interface. This eliminates the necessity for multiple disparate tools.

"With our new Network Language Model, businesses can now gain real-time, actionable insights using intuitive natural language processing, enabling teams to streamline operations, slash mean time to detection and resolution (MTTD/MTTR), and improve overall network reliability," said Nitin Kumar, Co-founder and CTO of Selector AI. "This release allows enterprises to leverage their data like never before, offering AI-driven analytics at their fingertips to help reduce downtime and enhance productivity."

The new release offers three key business benefits. The Network Language Model (NLM) empowers operations teams to make faster, data-driven decisions by correlating alerts with AI-driven insights from sources like email notifications and maintenance logs. This minimises false positives and improves alert accuracy, reducing the need for manual intervention and ensuring quicker resolution of critical issues.

Enhanced Digital Twin Technology allows IT teams to predict network behaviour through "What-If" scenarios. This helps improve risk management and expedite problem resolution across all network layers, enabling teams to foresee potential failures and boost uptime and customer satisfaction.

The Programmable Synthetics Sensors provide visibility into application performance and availability, seamlessly correlating this data with network infrastructure. Businesses can detect and resolve application performance issues before they affect end users, thereby protecting revenue and ensuring a seamless user experience.

"Operational efficiency is critical to businesses facing increased outages and growing complexity," said Kevin Kamel, VP of Product Management at Selector AI. "With these new capabilities, businesses can proactively prevent downtime, mitigate customer-impacting issues, and ensure service reliability through advanced analytics and sophisticated device modelling."

Selector AI's advanced capabilities have already led to significant contracts with global enterprises, telecom companies, and cloud providers. The company has achieved major wins in countries such as India and Japan and is also making headway in the healthcare sector, where there is growing demand for AI-based operational solutions.

To meet this rising demand, Selector AI is expanding its global presence. This expansion aims to continue delivering cutting-edge AI and machine-learning solutions to IT operations teams around the world.