1 research outputs found
Automated Machine Learning implementation framework in the banking sector
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsAutomated Machine Learning is a subject in the Machine Learning field, designed to give the possibility
of Machine Learning use to non-expert users, it aroused from the lack of subject matter experts, trying
to remove humans from these topic implementations. The advantages behind automated machine
learning are leaning towards the removal of human implementation, fastening the machine learning
deployment speed. The organizations will benefit from effective solutions benchmarking and
validations. The use of an automated machine learning implementation framework can deeply
transform an organization adding value to the business by freeing the subject matter experts of the
low-level machine learning projects, letting them focus on high level projects. This will also help the
organization reach new competence, customization, and decision-making levels in a higher analytical
maturity level.
This work pretends, firstly to investigate the impact and benefits automated machine learning
implementation in the banking sector, and afterwards develop an implementation framework that
could be used by banking institutions as a guideline for the automated machine learning
implementation through their departments. The autoML advantages and benefits are evaluated
regarding business value and competitive advantage and it is presented the implementation in a
fictitious institution, considering all the need steps and the possible setbacks that could arise.
Banking institutions, in their business have different business processes, and since most of them are
old institutions, the main concerns are related with the automating their business process, improving
their analytical maturity and sensibilizing their workforce to the benefits of the implementation of new
forms of work. To proceed to a successful implementation plan should be known the institution
particularities, adapt to them and ensured the sensibilization of the workforce and management to
the investments that need to be made and the changes in all levels of their organizational work that
will come from that, that will lead to a lot of facilities in everyone’s daily work