Adtran launched Mosaic One Clarity, a new artificial intelligence solution designed to help service providers simplify network operations and improve efficiency. Built on Adtran’s REAL AI platform, the new Mosaic One module is already in several customer trials.
It utilized advanced reasoning as well as explainable intelligence to deliver predictive maintenance, actionable insights, and guided steps that help teams resolve issues quickly and confidently across multi-vendor network environments.
By compounding network as well as subscriber data, Mosaic One Clarity enables faster root cause analysis, reduces site visits, and shortens repair times. Unlike one-size-fits-all steps, REAL AI applies the right operations where they offer measurable value. It gives operators immediate benefits, boosting service quality and enhancing customer experience without major infrastructure changes.
Adtran’s Mosaic One Clarity adopts the REAL AI platform—Reasoning, Explaining, Acting, as well as Learning—to enhance network operations. This approach applies deterministic reasoning to recognize the most probable causes of service interruption as well as performance issues across multiple vendors. Explainable insights provide teams with a clear understanding of what’s happening and why, resulting in making informed actions. Guided steps and governed controls facilitate tasks such as proposing remedies, rebooting gateways upon approval, updating tickets, notifying subscribers, etc. A continuous learning loop strengthens reasoning by detecting patterns over time.
Executive Statement
According to Christoph Glingener, CTO of Adtran, Mosaic One Clarity is about helping service providers simplify operations and gain greater control over their networks. Built on their REAL AI engine, this new solution puts AI intelligence directly into the workflow so CSRs, NOC engineers and field crews can make the right call in minutes. And because it’s part of their Mosaic One suite, service providers can see operational gains on day one without major changes to their network. Teams start with guided steps and progress to prevention and automation at their own pace. The impact is fewer avoidable visits, faster restoration and better service status for subscribers.
