自动化应用2024,Vol.65Issue(1) :9-12.DOI:10.19769/j.zdhy.2024.01.003

面向金融场景的大数据与机器学习平台

Big Data and Machine Learning Platform for Financial Scenarios

李璜玮 刘卫东
自动化应用2024,Vol.65Issue(1) :9-12.DOI:10.19769/j.zdhy.2024.01.003

面向金融场景的大数据与机器学习平台

Big Data and Machine Learning Platform for Financial Scenarios

李璜玮 1刘卫东1
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作者信息

  • 1. 信雅达科技股份有限公司,浙江杭州 310051
  • 折叠

摘要

随着金融领域对大数据与人工智能应用需求的迅速增长,相关支撑产品和服务等问题逐渐凸显,重点研究了基于大数据与人工智能的金融基础平台,打造了集模型需求管理、特征工程、模型生成、运维管理于一体的智能化工具平台——面向金融场景的大数据与机器学习平台.该平台围绕新形势下金融"精准营销""风险控制""运营决策"三大核心痛点,以大数据、机器学习为契机,打造了精准营销平台、风险控制平台、运营决策平台三大子平台,实现了新技术与金融业务的深度融合,使得金融机构能更方便、灵活、安全地使用基于大数据与人工智能的金融应用服务.

Abstract

With the rapid growth in demand for big data and artificial intelligence applications in the financial field,issues related to supporting products and services are gradually becoming prominent,have focused on researching a financial foundation platform based on big data and artificial intelligence,have created an intelligent tool platform that integrates model requirement management,feature engineering,model generation,and operation and maintenance management:A big data and machine learning platform for financial scenarios.This platform focuses on the three core pain points of financial"precision marketing""risk control"and"operational decision-making"under the new situation.Taking big data and machine learning as opportunities,it has created three sub platforms:precision marketing platform,risk control platform,and operational decision-making platform.It has achieved deep integration of new technologies and financial business,enabling financial institutions to use financial application services based on big data and artificial intelligence more conveniently,flexibly,and safely.

关键词

大数据/机器学习/特征工程/场景化/智慧银行

Key words

big data/machine learning/feature engineering/scenario-based/smart bank

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出版年

2024
自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
参考文献量6
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