Can this book help me in learning the introductory lessons in artificial intelligence with respect to fraud detection, algorithmic trading, underwriting etc. in finance industry ? If yes, does it explain the same using real-life scenarios?
Yes, I think a lot of the examples in the book could be helpful in thinking about AI in finance. I show how straightforward it is to use AI Natural Language APIS from cloud vendors like: AWS, Azure and GP. I also have some examples that show how to collect data from APIS and also scrape data. An easy AI application would be to look at the sentiment of news and message boards about an individual stock.
For example is a message board full of negative sentiment? This could mean a couple of things:
A. The stock is going to have a tough time
B. There are some fraud detection that could alert the company of an organized effort to short the stock.
This could be coded up very quickly with a pragmatic AI approach.
