Convergence of Artificial Intelligence (AI) and the Finance Industry

Convergence of Artificial Intelligence (AI) and the Finance Industry

Robo-trading, Robo-advisors, Consumer Smart Wallets, Insurance, and Fraud Analytics Set the Stage for Massive Disruption

RELEASE DATE
11-Apr-2016
REGION
Europe
Research Code: 9AC0-00-32-00-00
SKU: IT03008-EU-MR_17736

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Description

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

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 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

Value Proposition: Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
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.
More Information
No Index No
Podcast No
Author Lawrence Lundy
Industries Information Technology
WIP Number 9AC0-00-32-00-00
Is Prebook No