This is a forward-looking platform. With this platform, we have the opportunity to make a very effective integration of data, engineering and algorithms, thus quickly improving the implementation speed of AI in the company.
Yum China CTO - Zhang Lei
It is a world-leading enterprise-class artificial intelligence platform with independent intellectual property rights. Adopting a large-scale distributed architecture to achieve efficient offline computing and real-time computing, it is a whole-process AI platform of comprehensive capabilities ranging from data processing, model research, application building, application launching to AI governance and provides enterprises, partners and developers with ultra-high-dimensional, high-performance, low-threshold, scalable, enterprise-class AI platform level solution to help enterprises optimize operational efficiency, improve decision-making, open up new business models, and fully realize AI transformation.
Based on the understanding of core business of enterprises, Sage EE could realize the AI application effect of ‘1’ or several scenarios that have the greatest positive impact on the business. For these scenarios, even a 1% improvement is crucial to the enterprise.+
'N' means that Sage EE is able to scale up as many application scenarios as possible with high efficiency to maximize the overall value of these scenarios. This ability applies to situations where large-scale implementation is required.
- High DimensionThe self-developed high-dimensional machine learning algorithm and computational framework fully exploit the massive features in the data up to trillion-level dimensions, and significantly improve the accuracy of model prediction.
- Real TimeHigh-performance time-series database, real-time features and predictive engine for end-to-end real-time computing capabilities, transforming decision-making from “after the fact” to “real-time” in ultra-high-dimensional, high-concurrency scenarios.
- Closed LoopSage EE is able to continuously update and optimize AI applications with feedback data from the closed loop of data introduction, from model training to model launching, which frees AI applications from manual intervention and enables automatic adaptation to rapidly-changing business scenarios.
- Unified MethodologyWe define the standard framework to build AI application according to the ‘machine learning cycle’ theory, which builds a closed-loop data stream and connects the whole process, greatly reducing the development and management costs of AI applications.
- Lower Threshold‘Pull and drag’ modeling, automatic feature building, application-building engine, and full-process closed-loop automation technology to minimize the AI development cost and reduce the threshold of AI application.
- AI Unified GovernanceBased on the unified methodology of 4Paradigm, Sage EE has an end-to-end AI governance capability for unified operating, maintaining and managing of data, models and application assets.
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