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Artificial Intelligence and the Finance Industry Report 2016 - Taking Advantage of the Artificial Intelligence Opportunity - Research and Markets

[April 28, 2016]

Artificial Intelligence and the Finance Industry Report 2016 - Taking Advantage of the Artificial Intelligence Opportunity - Research and Markets

Research and Markets has announced the addition of the "Artificial Intelligence and the Finance Industry" report to their offering.

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 i financial services: robo-trading, robo-advisors, consumer smart wallets, insurance, and fraud analytics.

Key Topics Covered:

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 (News - Alert)

2. Artificial Intelligence Use Cases in Financial Services

- Artificial Intelligence Part FinTech Disruption