Cover Image
市場調查報告書

人工智能和金融業

Artificial Intelligence and the Finance Industry

出版商 Frost & Sullivan 商品編碼 356893
出版日期 內容資訊 英文 31 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
人工智能和金融業 Artificial Intelligence and the Finance Industry
出版日期: 2016年04月11日 內容資訊: 英文 31 Pages
簡介

本報告提供金融業界的人工智能的用途與市場機會的相關調查,人工智能、機器學習、深度學習定義和概要,這些帶來到產業的變化,不過重要的利用模式分析,金融服務經營者的建議等彙整資料。

人工智能、機器學習、深度學習的基礎

  • 人工智能的Start-Ups企業的投資
  • 改變所有東西的機器學習
  • AI的3個類型
  • 機器學習的5個主要方法
  • 現在主流的連結方法
  • 各種用途和各種演算法的必要性
  • 運算的急劇增加
  • 開放原始碼革命

金融服務的人工智能的利用案例

  • 構成金融技術的阻礙的人工智能
  • 利用案例1:機器人訓練
  • 利用案例2:機器人顧問
  • 利用案例3:消費者取向智慧錢包
  • 利用案例4:保險
  • 利用案例5:詐欺分析
  • 組織的未來:人工智能和塊環鏈
  • 對金融服務供應商的建議
  • 免責聲明

關於Frost&Sullivan

目錄
Product Code: 9AC0-00-32-00-00

Taking Advantage of the Artificial Intelligence Opportunity

It is difficult to understand what is happening in the field of artificial intelligence (AI). New developments seem to happen weekly, and vendors use different words to describe their products. Within financial services, some companies use the term Big Data analytics while others use machine learning technologies or artificial intelligent agents. This makes it hard to separate AI from the broader FinTech trends that are using data to improve financial services. This research will explain exactly what the terms AI, machine learning, and deep learning mean. It will then explore the five most important use cases of AI in financial services: robo-trading, robo-advisors, consumer smart wallets, insurance, and fraud analytics.

Table of Contents

1. ARTIFICIAL INTELLIGENCE AND THE FINANCE INDUSTRY

Foundations-Artificial Intelligence, Machine Learning, and Deep Learning

  • Investment in Artificial Intelligence Start-ups
  • Investment in Artificial Intelligence Start-ups (continued)
  • Machine Learning is Changing Everything
  • 3 Types of AI
  • Machine Learning has 5 Main Approaches
  • Connectionist Approach is Most Dominant Today
  • Different Applications Require Different Algorithms
  • Exponential Growth of Computing
  • Open Source Revolution

Artificial Intelligence Use Cases in Financial Services

  • Artificial Intelligence Part FinTech Disruption
  • Use Case 1-Robo-trading
  • Use Case 2-Robo-advisors
  • Use Case 3-Consumer Smart Wallets
  • Use Case 4-Insurance
  • Use Case 5-Fraud Analytics
  • Future of the Organisation-Artificial Intelligence and Blockchain
  • Future of the Organisation-Artificial Intelligence and Blockchain (continued)
  • Key Messages for Financial Service Providers
  • Legal Disclaimer

The Frost & Sullivan Story

  • The Frost & Sullivan Story
  • Value Proposition: Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
Back to Top