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Make AI Practically

We aim to serve the company and its ecosystems with powerful AI algorithm capabilities. The main research areas of our team are unsupervised learning, deep learning, graph learning. We were applied to intelligent O&M, fintech and other fields. To create real-time, efficient, simple and easy-to-use AI technologies, and explore innovation in intelligent operations and fintech.
To enable computer systems to interact with the outside world in the form of natural language text, track and research the most advanced natural language text understanding technology, and incubate more usable natural language processing technology and business scenarios. Research fields: Text classification, information extraction, knowledge mapping, etc.
Natural language processing
Computer vision allows computers to understand the real visual world without explicit programming. Research fields: Graphic analysis, object recognition, text recognition.
Research Areas
Computer vision
Machine learning
Have a computer execute automatically without explicit programming. Research fields: Machine learning theory, numerical optimisation, heterogeneous computing; Supervision, no supervision.
Core areas: finance, games; It is applied to banking and game business with SaaS support for quick use and immediate output.
Target Detection
Core area: Finance; Applied to securities and banking business, it emphasises interpretability and empowerment to help better long-term development.
Financial Marketing
Applicable Fields
Core areas: government affairs; Used in a subway and medical treatment, high business identification, better landing effect.
Intelligent O&M
Applicable Scenarios
Customer pain points
More powerful
The retention cost is too high and the effect is weak.
How to deal with loss in advance and reduce retention costs?
Automatic iteration
AI+ Banking Case -- Customer churn Solution
One-button start, visualise output process and results.
Automatic data management and model update, multi-dimensional cost reduction.
One-button start
White-box process, on-site technology empowerment, providing sustainable solutions.
White-Box
Predict further, about ¥6 million RMB in quantifiable gains.
Passage Time
Expand convenience
Realise automatic work by making devices more intelligent.
Convenient installation
Customer pain points
Fare evasion is easy to occurs at crowded stations. In 2018, Shanghai Metro collected about 10.35 million yuan in compensation fares, and the loss caused by fare evasion cannot be ignored. However, the station staff's irregular supervision of fare evasion will result in a massive workforce waste, with an average of 0.2 people being spent in each station supervising fare evasion. 
Automation
Reduce the construction complexity,  and make expansions more convenient.
AI+ Government affairs case -- Intelligent guidance solution in Subway
Make the installation of the lightbox convenient and fast.
Guide light passage time.
The accuracy is up to 83%.
Visualization
Combine the experience of dozens of medical experts on social networks as the last line of defence for results. To do extraction for characteristic computing.
Expert post-processing algorithm
High accuracy
AI+ Medical -- Cell recognition
Combined with BI large screen visualisation.
Relational reasoning database
Hidden Markov lexical analysis
AI+ RESUME Analysis - Smart resume analysis
LDA parsing
Extract the key contents of each module, such as educational background, work experience, etc.
Parsing each module of a resume and identifying the topic that each module belongs to, such as education and work experience.
Support relational reasoning. For example, if the candidate graduated from a school with a good ranking in mathematics, it can be inferred that the candidate is more suitable.
Exploration and Learning
Our primary research areas are unsupervised learning, deep learning, graph learning, mainly applied in intelligent operation and maintenance, fintech and other fields. Based on our science and technology development strategy of PES (Professional service, Enabling ecology, Science and technology for good), we create instant, efficient, simple and easy to use AI technology, and explore innovation in the field of intelligent operation and financial technology. At present, we have created root cause positioning, abnormal detection, jitter noise reduction and other technologies for "Weiying Cloud" (intelligent operation and maintenance) products.