Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.
Machine Learning is by no means a new thing. Back in 1959, Arthur Samuel’s self-training checkers algorithm had already reached “amateur status” – no mean feat for that period in time. This article is intended to shed some light on the two different types of Machine Learning that one can encounter, which may be useful if you are thinking of entering into this space and are unsure as to which avenue is appropriate for your business.
Predictive Analytics can yield amazing results. The lift that can be achieved by basing future decisions from observed patterns in historical events can far outweigh anything that can be achieved by relying on gut-feel or being guided by anecdotal events. There are numerous examples that demonstrate the possible lift that can be achieved across all possible industries, but a test we did recently in the retail sector showed that applying stable predictive models gave us a five-fold increase in the take-up of the product when compared against a random sample. Let’s face it, there would not be so much focus on Predictive Analytics and in particular Machine Learning if it was not yielding impressive results.
Hands up who has not heard of R? If you are in the data analytics space and have an internet connection then you would have heard of the open source programming language for predictive analytics and statistical computing that has taken the analytics world by storm.
The International Accounting Standards Board published IFRS9 Financial Instruments in July 2014, a framework that introduces a number of new principles into bad debt provisioning that would require lenders to change the provisioning methodology and possibly some business practices in order to remain compliant.
The benefits have been recounted many times, but now that Machine Learning has the business world’s attention, how does one get started? Moving into the machine learning space can be somewhat daunting, but we hope this blog post provides some guidance that you will find helpful.