Custom fit AIOPS Server Solution for Multivariate Time Series

Development of own engine for predicting and analyzing realtime big data

Promote internalization of S/W by expanding GS1 grade list

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Build robust and lightweight analysis engine for big data

Unsupervised model detect Anomaly in multivariate time series data

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3 Cluster Toolkits For Predicting and Making Decision

·   Real time prediction and judgement of events/signals that occur in real-time, such as management, customer behavior and product sales of enterprise

·  Support management decision and service operation

·  System fault diagnosis/prediction Neural Networking

The Commercial Model

·  Large scale implemetation of basic functionality (predictive/state judgement)

·   Increase resource efficiency and processing fast through lightweight modules

·   Research and maintenance for quality control, service expansion and evolution

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Real-time Multivariate Anomaly Detection Technology

Energy based Unsupervised learning model

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Scalability

Development of a model that allow hundreds of AI engines to operate simultaneously with node-specific hierarchical models

Robustness

A lightweight engine that can be applied to a large-scale business through interworking between models corresponding to each node

Real-Time Specific Architecture

Perform data verification on abstraction of various type real-time datas with Tiks time flow architecture

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  •  Marketing & Technical Queries: yshan@daton.ai