How Network-Trained Time Series Models Are Driving NetOps Transformation – IBM Triple-T
Generic LLMs offer limited value in the network space – they can’t handle time series data and don’t have the contextual awareness needed to produce relevant insights. In this session, we’ll offer a first look into IBM’s new strategy to deliver transformative impacts to network teams using purpose-built time series models which are trained on network data and enriched with semantic context. We’ll show how this reach stream of data analytics combined with a robust reasoning chain produces powerful insights to drive the next generation of network operations through IBM Network Intelligence.
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