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Finance has every reason to lead on AI: the data, the budgets, the use cases, the pressure. Yet the same industry that can automate fraud detection, credit decisions and customer operations can also b …
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Savings are where AI claims either become interesting or fall apart. This case study follows the numbers: what was changed, what it cost to implement, where the savings actually appeared, and what had …
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The ‘human-in-the-loop’ concept is often treated like a safety blanket: reassuring in theory, vague in practice. Who is the human? What are they checking? Do they have the authority, time and informat …
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Financial services has to navigate an incredibly regulated environment, everyone at Fintech Connect knows this! But very rarely do we go step by step through the challenges that occur due to this regu …
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Somewhere between the demo and deployment, AI gets less glamorous and more practical. The work becomes permissions, model owners, audit trails, fallback plans, user training, integration headaches and …
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Prompting has become the most overcomplicated simple thing in AI. Everyone has a framework, a cheat sheet, a five-step acronym and a slightly smug LinkedIn post about how to “talk to the model properl …
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The Chief Marketing Officer is no longer only the guardian of fintech brands and campaigns. In the age of Artificial Intelligence, the role is being rebuilt around data, revenue and growth. But the st …
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When every bank, fintech and financial platform starts to sound like the same safe sentence passed through legal, it can be very hard to come across as human and ultimately trustable. Customers want c …
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