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string(1621) "隨著大數據技術的發展和互聯網時代的來臨，能夠精準快速的建立大數據機器學習模型，已經成為金融行業提高自身競爭力和經營效率的核心。數據模型實驗室以大數據分布式計算為基礎，利用人工智能的方法，從數據特點出發，為客戶建立服務于業務場景的“一體化”智能模型平臺。為實現對機器學習模型的統一開發、應用和管理，數據模型實驗室內置設計大量統計、論證、觀察算法，并提供若干模型模板，使模塊業務化實現模型快速搭建。同時，數據模型實驗室提供模型開發及部署平臺，做到開發、部署、監控、維護模型全生命周期環節的可控。并且，應用網頁拖拽界面，不依賴繁復冗余的代碼，大幅提升建模效率，提供可視化平臺和定制化建模服務，使得建模流程清晰明確，易于講解、演示和維護。
宇信數據模型實驗室擁有獨立完整的可視化機器學習模型建模能力，支持微服務架構，使模型快速部署的同時，對模型進行實時監控和反饋，不僅增加模型上線速度和客戶的業務效率，也滿足業務人員及監管部門對于模型運行狀況的監察要求。數據模型實驗室延續了宇信從客戶角度出發，以業務為基礎的設計理念，面向金融業務特別是銀行業務的預置場景，根據每種業務特點對相應模型的算法進行深度定制，緊貼銀行業務和監管要求，提供配置化的建模解決方案，從而使得模型開發能夠充分滿足客戶需求。"
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string(663) "宇信科技的外部數據管理平臺致力于幫助銀行管好自身業務運營數據之外的數據。隨著銀行在營銷、風控、信貸管理及客戶生命周期管理對外部數據的依賴，需要從外部多渠道引入數據，進行多維度客戶信息采集、解析、標準化整合等，并實現內外部數據有效融合的信息管理平臺。宇信的外部數據管理平臺，通過對行內提供統一的外部數據服務能力，實現全行數據的共享與應用，并對海量數據建立集中和統一的管理，為業務經營與分析提供有效的支撐，解決信息不對稱、數據獲取能力有限等難題。"
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