An AI demand analyst shall have AI knowledge and is able to analyze the business targets and scenario demands to transform them into AI technology demands.
An AI development engineer shall handle certain AI technologies and can use third-party hardware and software tools skillfully to design and develop AI applications in batches.
An AI O&M engineer shall understand AI technologies and can use third-party hardware and software tools skillfully for the O&M of AI applications in batches.
One-stop automated training can be realized without paying attention to details of algorithm implementation, and the steps are easy to operate.
Platform-level technical assets (data, models, code, etc.) with precipitation capabilities which are integrated to efficiently reuse existing assets and quickly meet the practical needs for business scenarios.
Rapid training with small samples is supported and the underlying architecture is supported by large mature models. Multi-scenario algorithms are pre-set to obtain high precision models rapidly and efficiently.
With its cloud edge collaboration capacity, it supports flexible expansion of the public cloud, and local privatization, and the software and hardware are integrated into the local equipment.
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