Turning rigorous research into intelligent systems.
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Articles.
Published thought-leadership on machine learning, optimisation and the value of data — including early pieces urging banks to use their own data.
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Diversity in AI
“Over the past three decades, I have had the privilege to witness Artificial Intelligence transition from the research lab into our daily lives … it is vital that the people involved in creating this technology are representative of our society as a whole.”
Thought leadership article advocating for inclusion and representation in AI Read the full article →
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Artificial Intelligence for Banks: The Revolution Starts Now
“So-called knowledge workers, which have for some time been identified as a bank’s primary asset, have largely been immune. This will soon change. Intelligent machines will be to banks what robots were to the car manufacturers.”
On how AI will reshape knowledge work in banking — from research to compliance — much as robots reshaped manufacturing. Read the full article →
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The Power of Predictive Analytics & Machine Learning
“How powerful would it be to have the foresight to anticipate your customers’ individual needs, or to recognise patterns that affect a whole market in real time? This is what predictive analytics and machine learning promise to deliver.”
An ahead-of-the-curve argument for machine-learning adoption in banking during the early fintech transformation; making the case for institutions to mine their own transaction data. Read the full article →
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Big Data — Going Beyond the Hype
“It can be difficult at times to separate the hype that surrounds big data from the reality. Nevertheless, big data will continue to transform how companies operate … What specifically will it mean for investment banks?”
An early industry commentary advocating data-driven transformation in banking — cutting through the hype to focus on where data genuinely creates value. Read the full article →