Data and Intelligent Operations

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Data and Intelligent Operations

Through powerful data governance capabilities, scenario based model construction guides, algorithm "componentization", integration with data development, small model algorithms, and large model algorithms, various intelligent operation and maintenance scenarios can be achieved.

CanWayBlueWhaledel algorithms, various intelligent operation and maintenance scenarios can be achieved. Try For Fre...
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Data and Intelligent Operation Solution

CanWayBlueWhale
DataOps lassSolution DataOps Support DataOps data lifecycle management, enabling capacity analysis, correlat...

Support DataOps data lifecycle management, enabling capacity analysis, correlation analysis, and data mining.

MLOps lassSolution DataOps Support DataOps data lifecycle management, enabling capacity analysis, correlat...

MLOps one-stop scene model engineering development, intelligent detection, root cause analysis, fault prediction.

LLMOps lassSolution DataOps Support DataOps data lifecycle management, enabling capacity analysis, correlat...

LLMOps operation and maintenance large model development platform, providing intelligent Q&A, intelligent diagnosis, and intelligent assistant.

Why Choose

CanWay BlueWhale

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Support Visualization and Scene Guided ModelingSupport Visualization and Scene Guided Modeling

Supports multiple machine learning frameworks, scenario based modeling training, online model training, publishing, and application, as well as offline model import and hosting.

Mature Intelligent Operation Scenario ModelMature Intelligent Operation Scenario Model

Deep integration of algorithm models including single indicator anomaly detection, multi indicator anomaly detection, correlation analysis model, time series prediction, log clustering, alarm convergence, and big language model into Jiawei Blue Whale product SaaS, supporting out of the box use.

Integrate Multiple Data ChannelsIntegrate Multiple Data Channels

Support cross cloud data collection, compatible with various heterogeneous data sources, support self-service access, real-time data cleaning, and provide an open collection framework; Block the details of the underlying framework, drag and drop data stream development IDE unified development language BKSQL, and stream batch hybrid computing development mode.

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