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Generative AI made a huge impact in 2023 – with the majority of financial services recognizing its potential to offer wide-ranging benefits and moving quickly to start exploring its implementation wit...
In recent years, Web3 has been put forward as the most significant democratic revolution in the digital space. With big tech monopolies governing the exchange and monetisation of information today, th...
Data is the most valuable resource we have today when it comes to solving our greatest challenges. With the right data, and enough of it, there is no limit to the compelling use cases we can create. I...
Today, businesses rely on predictive models for a multitude of reasons. At the very least, they enable novel insights that can streamline internal processes; at the most, they are essential drivers of...
Having covered the importance of defining algorithmic fairness in an earlier article, I would now like to discuss the factors that can lead to model unfairness in more detail. Data and Bias Data coll...
As the use cases for AI in financial services continue to grow and deliver value for organizations and customers alike, I’d like to provide some insight on where I think the technology is delivering m...
Defining fairness is a problematic task. The definition depends heavily on context and culture and when it comes to algorithms, every problem is unique so will be solved through the use of unique data...
An important consideration for data scientists, businesses, and society as a whole, today centres on how we might establish AI as an indisputable and indispensable force for good in the world. For yea...
Benchmarking is an incredibly useful tool. It allows organizations to measure themselves against their main competitors and identify key areas they thrive in as well as areas in which they are lacking...
Across industries, data is recognised as an organisation’s most valuable asset. From data comes knowledge and new insights that can be used to improve every function of a business, from new and better...