IBM brings time series models to Confluent Cloud for real-time intelligence
ibm and confluent partner to offer stream-native time series models on confluent cloud, enabling real-time decision-making for enterprises. this affects data-driven businesses.
ibm has developed time series foundation models (tsfms) that can be used to make real-time predictions and detect anomalies in streaming data. these models have been trained on vast amounts of data and can generalize to new series they have not seen before. ibm and confluent are partnering to offer these models on confluent cloud, allowing enterprises to integrate them into their own applications and make data-driven decisions in real-time. the models have already been tested in various industries such as cement, steel, and food, with reported productivity gains of 5-10x. this partnership affects businesses that rely on data-driven decision-making and could change the way they operate.