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IBM launches time series models on Confluent Cloud

IBM has released new time series foundation models on Confluent Cloud, making real-time forecasting, anomaly detection, and optimization available directly where streaming data flows. These models, previously tested in IBM's own and partners' operations, are now accessible without teams of data scientists, working with a variety of industries. IBM says companies using these models saw significant productivity gains and accuracy improvements.

Why it mattersMaking time series models accessible through Confluent Cloud could streamline decision-making for enterprises relying on streaming data, reducing the need for specialized staff and potentially lowering costs associated with missed forecasts.

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Hugging FacePrimaryReal-Time Intelligence with IBM Time Series Models on Confluent1:49 PM

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