data science, software development, synthesized data, data management
Hearing of a synthesizer, most people’s thoughts might wander to electronic music rather than to digital data. But the process of synthesizing a database is exactly what banks should have in mind when it comes to accelerating their software development and testing.
blockchain, digital wealth management, wealth management solutions, data science, blockchain technology
Blockchain has been a buzz word for a few years but the announced disruption seems to have disappeared. So where are we since then? Are the promises all gone? Is there really something beyond the hype?
wealth management solutions, data science, artificial intelligence, machine learning
This is the first piece in a series of three short articles that will address investing in non-bankable assets and focus on critical considerations when one’s investment portfolio includes such alternative investment vehicles.
It may sound like an exaggeration, but there is hardly any person in the world that has never been part of a social network, or that has never used some sort of technical network. In a similar way, it’s almost impossible to come across any recent article about data science applications which does not mention the term “network”. Hence it is only natural to ask what is a network?
In this blog post, we will specifically delve into the type of challenges that arise in banks due to data quality and quantity-related issues and propose some concrete concepts that could mitigate these.