Xena Lappin, EVP Transformation and Innovation at Teleperformance, discusses the expanding threat landscape in this new world of dispersed business operations, and how Artificial Intelligence is helping financial services build a frontline for cybercrime prevention.
According to customer insight and market research collected by artificial intelligence, banks have made several crucial missteps in providing for their customers during the pandemic.
It would seem that the financial industry is waking up to the huge potential offered by artificial intelligence (AI) and machine learning (ML). So much so that a Bank of England (BoE) and Financial Conduct Authority (FCA) survey revealed that over two-thirds of organisations within financial services already have live ML applications, with this level of usage due to double in the next three years.
A powerful movement is taking place behind the scenes of recent TV reports and newspaper headlines. In the quest for global dominance in the domain of deep tech, countries are involved in a spirited race to develop the next wave of leading artificial intelligence (AI) technologies.
Due to rapid technological advancements, Artificial Intelligence (AI) is now found in various aspects of our daily lives – though most of us are often completely unaware of how often we use it. Digital banks and other innovative companies have certainly taken notice.
Everyone's talking about the potential for artificial intelligence in the enterprise, but what's actually been achieved to date? Are the majority of companies comfortable with the technology and how it can be used?
Much is made of the disruptive impact that artificial intelligence (AI) and machine learning (ML) are set to have over the coming years, but little is known about the way AI will specifically impact different industries.
The rise in automation - particularly automation powered by artificial intelligence (AI) - is having a ripple effect on UK businesses, creating an impact that goes far beyond products or services.
Companies intend to spend 51% more to detect and prevent financial crime; cloud-based data and technology the top choice, followed by Artificial Intelligence (AI) and Machine Learning (ML).
CFOs of European firms are unanimously convinced that artificial intelligence (AI) has the potential to have a strong impact on the financial department. But when it comes to implementing this technology, they are significantly lagging behind their American counterparts. In fact, many American firms are already comprehensively using data analysis and machine learning to guide and support their strategic decisions. However, this isn’t necessarily the case in Europe, says Kristof Stouthuysen.
Artificial intelligence (AI) will produce more accurate, reliable and transparent credit decisions than human-based systems within five years, according to capital markets professionals surveyed by Intertrust.
Artificial Intelligence has been a buzzword on many business and finance leaders’ lips. It’s tipped to revolutionise how we work and, for some organisations, change is already happening. However, AI demands significant time and financial investment, making it out of reach for many businesses.
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