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Industry Intelligent Decision-Making Products

Conduct automatic identification and judgement for complex business issues based on intelligent cognition. Combined with industry features, realize intelligent product system with automatic selection for business path.

  • DeepGovernor

    A system based on complicated decision-making model to conduct situational awareness, prediction analysis, analogue simulation, and countermeasure analysis. Also a global intelligent support system to make judgement before the event, take control during the event, and deliver feedback after the event for decision-making business.

  • DeepFinder

    It comprehensively applies visualized analytical technology, scenario-based tactics model, and collaborative platform so as to realize accurate study and judgement with clues and highly efficient sharing.

  • DeepEditor

    By virtue of big data and AI technology, it is an intelligent system to realize the intelligent processing of planning, collection and editing of media contents, communication optimization, dead-zone free users tracking and insight, and quick response.

  • DeepCreator

    A marketing system featured by helping enterprises capture all key nodes of dynamic user journey and providing real-time intelligent decision-making. It adopts marketing closed-loop concept to elevate marketing conversion rate through self-optimization of evaluation results after reaching customers.

  • Mediaforce

    A public opinion insight system based on cutting-edge AI applications. Combined with the technologies of Internet big data acquisition and massive real-time data storage, achieve intelligent monitoring and analysis of omnimedia public opinion.

  • InsightWorks

    The consumer insight intelligent system has mature SaaS products and online sample database with more than 3 million members. Through the combination of big and small data, it can satisfy demands on consumers’ insight in the field of product, brand and marketing, etc.

Intelligent Cognition Products

Conduct automatic identification and judgement to analyze the business issues and help industry clients build basic intelligent cognitive ability through series of intelligent tools including dynamic knowledge graph, model workshop and smart text.

  • Intelligent Interactive Analysis

    A one-stop data management tool to help enterprises conduct intelligent data extraction, analysis and visualized display, and analyze and identify data issues independently so as to lead enterprises to carry out data analysis in an intelligent way by making use of natural language processing and voice recognition technologies.

  • Personalized System

    Have a deep insight on user behavior and build user preference view to provide users with cross-screen, real-time and customized recommendation. Help users obtain products, information and service that suit their interests so as to effectively elevate key indicators including user activation, click rate and retention rate.

  • Modeling Workshop

    Supported by leading technologies such as probability statistics, machine learning and deep learning, and combine industry knowledge, build business model and knowledge projects which are deeply combined with business for various industries including media and publishing, manufacturing, government affairs, public security, and retailing.

  • Intelligent Text Analysis

    Focus on text-based natural language processing technology and meet the business needs of government and enterprise customers with one-stop for natural language processing by making use of rich data mining, machine learning, AI algorithm, and online and offline semantic models training.

  • Intelligent Tags

    Build physical profile of users, products and channels, and realize intelligent related products by virtue of BAIFENDIAN UTT model, advanced feature mining, and information visualization technologies. It fully integrates multi-contact and omni-channel data of enterprises to support upper-level data applications including intelligent recommendation and precision marketing.

  • Dynamic Knowledge Graph

    Gather massive information (data) of clients and fast build elastic and expandable knowledge (knowledge graph) products. It can build knowledge graph with quickness and real time, flexibility and expandability, intelligence and self-adaption.

Big Data Operating System

Process the internal and external multi-source, heterogeneous and complex massive data in real-time manner to build data asset management platform centered on data lifecycle management.