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AI and Big Data Technologies Transforming Financial Services

出版商 Frost & Sullivan 商品編碼 572951
出版日期 內容資訊 英文 40 Pages
商品交期: 最快1-2個工作天內
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AI、巨量資料技術改變金融服務 AI and Big Data Technologies Transforming Financial Services
出版日期: 2017年09月28日 內容資訊: 英文 40 Pages


第1章 摘要整理

第2章 技術概要

  • 科技概述
  • 金融服務巨量資料的主要的優點
  • 金融服務AI的主要的優點
  • 金融部門的AI、巨量資料引進的促進因素
  • 金融服務部門的AI、巨量資料引進的課題

第3章 巨量資料和AI的革新改變金融服務

  • 巨量資料和AI的匯流促進金融服務部門的革新
  • 自動詐欺偵測使品牌的評價提高
  • 詐欺分析的最佳化
  • 客戶分析
  • 客戶分析提供多尺寸的考察
  • 風險分析
  • 主要革新促進風險分析
  • 生物識別安全數位付款的革新
  • 免接觸安全付款認證的革新
  • 下一代金融助手的互動式AI平台
  • 聊天機器人

第4章 前途

  • 活用巨量資料和AI的Fintech的未來的應用機會
  • 先進的機器情報成為下一代的金融助手
  • 受控制的運算

第5章 分析師的考察

  • 分析師的考察

第6章 主要專利

第7章 主要聯絡處

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
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