Regardless of the size of the institution, lending is at the core of any bank. In today’s low-interest rate environment, increasing lending can be a driver for revenue growth. The key, however, is to increase this lending while maintaining or …
Why implementing a “Google-like” search in the enterprise is hard
“Just make it work like Google” is a common refrain heard when doing requirements gathering during enterprise search strategy and implementation engagements.
Google now processes over 40,000 search queries every second on average, which translates to over 3.5 billion searches …
Why your machine learning project will fail
Okay, so the title of the article is somewhat apocalyptic and I don’t wish ill on anyone. I am rooting for you and hope your project succeeds beyond expectations. The purpose of this article is not to put a voodoo …
Fraud detection and the false positive problem
One of the most useful and profitable applications of machine learning in finance is its application to the age-old problem of fraud. Since the days of the Medici banking family, bad actors have been trying to beat the system and …
Data is the new code
A common catchy phrase making the rounds lately is “data is the new oil”. There is a lot of truth in it in many regards. Up until 10 years ago or so, storage costs made it prohibitive to store more …
Artificial Intelligence, Machine Learning and Anti-Money Laundering (AI/ML & AML)
The laundering of money has now become the leading source of compliance fines for North American and European financial institutions. In 2016, regulators and governmental agencies levied fines in excess of $42 billion. In addition, it is estimated that each …
Machine learning classification
Machine Learning algorithms can be classified in many ways. One of my favorite classifications is the Pedro Domingo classification using the “Five tribes”. Today I will be using a more basic and traditional classification. This classification method is as follows:…
Semantic Segmentation using Mathematica
I recently had a request to do some image analysis and to isolate certain elements of the image. In this case, the request was to isolate cars. Any given pixel in the image that is “not car” should be converted …
The power of crowds
With all the talk about “artificial intelligence”, it is easy to forget the power of “natural intelligence” and how we can leverage both. In addition, as the old saying goes “two minds think better than one”. If this axiom is …
Ideation
Imagine you found a magic lamp. One of those that if you rub it a genie appears. He comes out and says he can answer one question. What question would you ask? Wait, before you answer make sure your question …