Our technology is built around an enterprise-scale data warehouse, which collects data from a wide-ranging set of sources. The system then leverages advanced analytics, artificial intelligence, machine learning technology, and proprietary clustering algorithms to enable data mining for fast, on-demand visibility into all platform environment reporting regardless of the data set size. Data sources include:
The Artificial Intelligence (AI) and Machine Learning (ML) capabilities built into PowerSuite create a continuously learning software system from cloud data gathered across millions of users daily.
PowerSuite AI/ML technology automatically ingests, clusters, and mines large sets of enterprise-scale data (~ ½ billion events/day) on a near real-time basis to sharpen visibility into the user experience in UC and Collab environments, to determine systemic vs individual user issues, and to deliver actionable insights to IT.
e.g. team ownership detection, or smart policy recommendations
e.g. fraud detection from anomalous conferencing behavior
e.g. root cause analysis of call or video quality issues
e.g. ISP benchmarking
PowerSuite’s AI and ML system filters the signal from the noise and learns from previous incidents and become better trained with each event, until eventually, it can pre-recommend the appropriate action to take, based on previous responses.
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