表纸
市场调查报告书

AI、巨量资料技术改变金融服务

AI and Big Data Technologies Transforming Financial Services

出版商 Frost & Sullivan 商品编码 572951
出版日期 内容资讯 英文 40 Pages
商品交期: 最快1-2个工作天内
价格
Back to Top
AI、巨量资料技术改变金融服务 AI and Big Data Technologies Transforming Financial Services
出版日期: 2017年09月28日内容资讯: 英文 40 Pages
简介

本报告以金融服务AI、巨量资料的革新为焦点,提供AI的未来的机会相关的系统性资讯。

第1章 摘要整理

第2章 技术概要

  • 科技概述
  • 金融服务巨量资料的主要的优点
  • 金融服务AI的主要的优点
  • 金融部门的AI、巨量资料引进的促进因素
  • 金融服务部门的AI、巨量资料引进的课题

第3章 巨量资料和AI的革新改变金融服务

  • 巨量资料和AI的汇流促进金融服务部门的革新
  • 自动诈欺侦测使品牌的评价提高
  • 诈欺分析的最佳化
  • 客户分析
  • 客户分析提供多尺寸的考察
  • 风险分析
  • 主要革新促进风险分析
  • 生物识别安全数位付款的革新
  • 免接触安全付款认证的革新
  • 下一代金融助手的互动式AI平台
  • 聊天机器人

第4章 前途

  • 活用巨量资料和AI的Fintech的未来的应用机会
  • 先进的机器情报成为下一代的金融助手
  • 受控制的运算

第5章 分析师的考察

  • 分析师的考察

第6章 主要专利

第7章 主要联络处

目录
Product Code: D7BD

The Convergence of Big Data and AI Enabling Financial Services Automation

Artificial Intelligence (AI) and Big Data has emerged to be the most essential technologies to develop fintech applications. The technologies has advanced significantly over the ages to empower applications and machines to learn from its own experiences, unravel hidden patterns in data, generate insights and take automated decisions. Technology evolution in the AI and Big Data spaces is continuously driving the development of innovative applications that are transforming the financial services.

This research service focuses innovations powered by AI and Big Data for financial services space. The research service also highlights the key future opportunities of AI.

In brief, this research service provides the following:

  • A brief snapshot of fintech
  • Key benefits of AI for financial services
  • Key benefits of AI for financial services
  • Key drivers and challenges
  • Key applications powered by Big Data and AI for financial services
  • Key innovations transforming financial services
  • Application roadmap
  • Future convergence potential
  • Future applications of in financial services

Table of Contents

1.0. Executive Summary

  • 1.1. Key Findings
  • 1.2. Research Scope
  • 1.3. Research Methodology

2.0. Technology Overview

  • 2.1. Technology Snapshot
  • 2.2. Key Benefits Offered by Big Data to the Financial Services
  • 2.3. Key Benefits Offered by AI to the Financial Services
  • 2.4. Factors Driving AI and Big Data Adoption in the Financial Sector
  • 2.5. Key Challenges Hindering Adoption of AI and Big Data in the Financial Services Sector

3.0. Big Data and AI Innovations Transforming Financial Services

  • 3.1. Convergence of Big Data and AI is Driving Innovations in Financial Services Sector
  • 3.2. Proactive Automated Fraud Detection Enhances Brand Reputation
  • 3.3. AI is Helping Optimize Fraud Analytics
  • 3.4. Customer Analytics
  • 3.5. Customer Analytics Offers Multi-dimensional Insights
  • 3.6. Risk Analytics
  • 3.7. Key innovations Driving Risk Analytics
  • 3.8. Innovations in Biometric Authentication Security Digital Payments
  • 3.9. Innovations Powering Touchless Secure Payment Authentications
  • 3.10. Conversational AI Platforms Powering the Next-gen Financial Assistants
  • 3.11. Strong Reasoning Ability of Chatbots Facilitating Human-like Interactions

4.0. The Road Ahead

  • 4.1. Future Application Opportunities in Fintech Leveraging Big Data and AI
  • 4.2. Advanced Machine Intelligence Will Give Rise to the Next generation of Financial Assistants
  • 4.3. Controlled Computing Will Lead to More Secure and Effortless Interfaces

5.0. Analyst Insights

  • 5.1. Analyst Insights

6.0. Key Patents

  • 6.1. Key Patents on Account Identification and Data Generation
  • 6.2. Key Patents on Virtual Currency and Adaptive Level Implementation in Financial Management
  • 6.3. Key Patents on Predictive Modelling and Credit Scoring
  • 6.4. Key Patents Conversational AI and Biometric Authentication

7.0. Key Contacts

  • 7.1. Key Contacts
  • 7.1. Key Contacts (continued)
  • Legal Disclaimer
Back to Top