Artificial intelligence

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Neil Clarke

Predictive payments: How AI can enable new payment and cash management services

February 21, 2025 The banking industry is rapidly adopting artificial intelligence (AI) to enhance the customer experience, increase operational efficiency, and gain a competitive edge. Chatbots powered by generative AI (GenAI) are becoming increasingly common, improving customer support and resolving queries 24/7. AI...

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Ainsley Ward

Three data must-haves in applying GenAI to payments processing

February 21, 2025 A few years ago, I lived in a house in Toronto with a very common street name, Main Street. While the address was easy to remember, such a common name is often used as a “generic” or “fictional” address by...

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Philip Skinner

Boosting the ‘intelligent’ in intelligent payment routing with AI

February 21, 2025 For those who have not come across the term, intelligent routing refers to a set of rules that banks use to dynamically direct payment transactions to the most appropriate payment scheme. These rules are based on the paying customer’s preferences...

CGI, one of the largest independent IT and business consulting services firms in the world, today announced its achievement of Select partner program status from Databricks, the data and AI company.

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Becky Magnusson

Gridiron meets government: a winning AI playbook for public service

February 6, 2025 Like millions of others, I tuned in to football’s big game. As I witnessed the strategic plays and touchdowns cause wild fanfare on both sides, I couldn’t help but think of the unlikely parallel between championship football strategies and government...

The promise of generative AI is value — increased revenue, streamlined efficiencies, more innovative decision-making. Achieving this value isn't easy. Maximizing it is even harder. In this guide, AI experts share the goals, decisions, and strategies needed to maximize value...

Successfully scaling AI is not as simple as applying a new layer of technology on top of outdated infrastructure, inadequate data, or leveraging AI with a lack of transparency to the source data used to train AI models. Organizations must...