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AI & Machine Learning in Financial Services

AI Course Webinar Whether it is back, middle or front office machine learning plays a key role across the financial services industry from fraud detection to the lending process, asset management to risk assessment, regulatory compliance and beyond.

As new fintech entrants enter the market focusing on customer experience and build out predictive capabilities, it is now more important than ever to understand where the potential threats are coming from and where the opportunities to partner, collaboration or compete lie.

We’ll explore these technologies, business use cases, case studies and key learnings in order to give you a solid grounding in AI, big data, and machine learning as well as help you understand the potential to apply them in your own organisation.

Artificial Intelligence in testing: Top five use cases in financial services in 2019

“Our intelligence is what makes us human, and AI is an extension of that quality.” – Yann LeCun The global financial services industry is at an inflection point.

Our recent World Quality Report, a joint publication of Capgemini, Microfocus and Sogeti, indicates that artificial intelligence (AI) in testing is an upcoming trend to improve speed to test particularly for digital initiatives in financial services.

Finally create a small team comprising of professionals possessing data analytics, statistics and machine learning algorithms that can create proof of concepts and drive this transformation.

Advancing Financial Services with the Power of AI

As financial services institutions (FSIs) face new regulations, rising customer expectations and disruptors around every corner, they are embracing digital transformation to prosper and stay competitive.

With today’s AI solutions, FSIs are improving customer experience, reducing fraud, predicting customer needs, protecting confidential data, and maintaining regulatory compliance.

One example: To identify and stop fraudulent transactions, Mastercard leverages machine-learning algorithms running on HPC systems to process large data sets nearly instantaneously.

It processes 165 million transactions per hour, using machine-learning algorithms and applying 1.9 million rules to examine each transaction.

For a closer look at Mastercard’s successes with AI, read the Dell EMC white paper “Fighting fraud the smart way — with data analytics and artificial intelligence.” _______________ 1

Bank 4.0 and the Future of Financial Services

It is not enough to just import technologies like AI, blockchain or smartphones into existing financial services, says futurist and fintech entrepreneur Brett King.

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