Support unified management of algorithms, scenario-oriented algorithm configurations, unified accessing of algorithms, intelligent data analytics, feature extraction, dynamic fine-tuning of algorithm parameters, and pattern optimization. Based on high availability and concurrence, Cloudwise Intelligent Analytics can schedule algorithms intelligently to provide high-performance algorithm capabilities for upper-layer business and products.

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Features

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Cloudwise

Genericities

Allow users to create genericities, manage genericities in a centralized way, and schedule algorithms to support abundant application scenarios.

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Data sources

Allow users to manage all data sources in a centralized way, and create offline or ClickHouse data sources.

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Algorithm experiments

Applied in the dynamic parameter fine-tuning scenarios. Users can create experiment tasks and process data with multiple genericities. Users can fine-tune parameters of a selected genericity and save the genericity by comparing the processing results.

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Tasks

Provide algorithm services for upper-layer applications. Tasks can be created automatically through upper-layer applications or manually. Users can compare processing results of different genericities vertically to obtain the genericity of a single scenario.

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Scenarios

Provide intelligent algorithms for upper-layer applications through scenarios. Match different application scenarios with suitable algorithms.

Advantages

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Cloudwise

Abundance

Provide abundant and out-of-box algorithm libraries for multiple operations scenarios such as anomaly detection for single or multiple metrics, log parsing, forecasting for single metric, root cause analysis and fault localization, and alert denoising.

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Openness

Provide engineered algorithm capabilities through common standard APIs. Provide unified algorithms and algorithm models for upper-layer products or applications through scenarios.

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Comparison and fine-tuning

Support viewing and comparing the different processing results of a piece of data generated by different models, helping customers fine-tune genericities and apply the optimal solution for application scenarios.

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Scalability

Support algorithm extension as well as continuous update. Users can customize genericities based on existed algorithms to apply algorithm parameter templates to upper-layer applications.

Customers

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Cloudwise

aiBANK

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China Taiping

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Yinzhou Bank

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