Relying on Cloudwalk’s constant accumulation in AI engineering, the models produced in the training platform are deployed to provide online reasoning services for downstream platforms/engines (e.g. decision-making engines and external scheduling systems).
The machine learning inference engine developed by Cloudwalk features multiple strengths: based on distributed model deployment architecture; support mainstream inference frameworks; support the rapid integration of third-party tools and models.
Background and challenges
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Urbanization: frequent social activities and intersection of urban risks; -
Mobility: An increase in unstable factors caused by population migration; -
Overload: The rapid development of society leads to insufficient police force; -
Informatization: Traditional methods are difficult to meet practical needs.
