Artificial Intelligence and the Finance Industry

  • ID: 3691413
  • Report
  • Region: Global
  • 31 Pages
  • Frost & Sullivan
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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.
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1. Foundations - Artificial Intelligence, Machine Learning, and Deep Learning
  • Investment in Artificial Intelligence Start-ups
  • 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
2. 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
  • Key Messages for Financial Service Providers
  • Legal Disclaimer
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