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The AI Lab
The R&D guideline of Ruihedata AI Lab comprises 1 core and 3 pillars. The core is to develop a model factory (modern production line for data analysis and modeling) for the financial industry. And the 3 pillars for commercial application refer to innovation-oriented (model automata machine - automated machine learning, model interpreter - interpretable machine learning, micro-segmentation divider - customer micro-segmentation, finite state machine - augmented learning), applicability-oriented (feature platform, model management platform), and capability-oriented (training system for leading analysts). This is an inexhaustible source of creativity and growth for our clients in the financial sector.
Research projects of Ruihedata AI Lab are closely aligned to financial practices. In response to the business needs and scenarios of the financial industry, it explores cutting-edge AI technologies and their application, including intelligent marketing, intelligent risk control and intelligent decision making. Its development outcomes have generated quick wins in financial scenarios, helping clients improve performance, efficiency and customer experience at lower cost and risks.
CORE MODULE
INNOVATION ORIENTED
PRACTICAL ORIENTATION
ABILITY ORIENTED