Interface Magazine - Technology and FinTech
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Our dedicated platform for CIOs, CTOs, CISOs & CDOs provides a definitive guide to Digital Disruption & Technology Transformation & the wider role technology plays in cultural & mindset changes within today’s businesses. Source
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| Scope | National |
|---|---|
| Language | English |
| Country | United Kingdom |
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Recent Articles
Search ArticlesUK businesses must eliminate AI debt in 2026
Author Stephen Kelly Published 30 July 2026 Estimated Read time 4Mins Cirata CEO Stephen Kelly tells us why having fully centralised data is the key to creating seamless AI access for companies. SHARE THIS STORY MIT reported that up to 95% of enterprise AI projects fail. Businesses are racing to adopt the technology and rushing execution in the process, significantly eroding ROI and potentially leaving thousands of businesses at risk of regulatory exposure.
Embedded SME finance is accelerating as bank lending slows
Author Luke Trayfoot Published 30 July 2026 Estimated Read time 5Mins Luke Trayfoot, Global Head of Strategic Partnerships at YouLend, on how embedded finance can help create a more resilient and inclusive lending ecosystem for SMEs SHARE THIS STORY Bank‑to‑business lending growth is expected to halve to just 3.5% this year, driven by global tensions, higher funding costs and ongoing economic uncertainty.
Denodo: The Missing Link in Insurance AI
Author Errol Rodericks Published 29 July 2026 Estimated Read time 5Mins Errol Rodericks, Director of product marketing EMEA and LATAM at Denodo, on why the future of insurance will be defined by whether humans and AI agents have the right data, in the right form, to make the right decisions SHARE THIS STORY AI adoption across the UK insurance sector continues to accelerate, yet the impact is falling short of the industry’s expectations.
Aqilla: AI can Crunch the Numbers, but it Can’t Make the Emotional Decisions
Author Hugh Scantlebury Published 22 July 2026 Estimated Read time 5Mins Hugh Scantlebury, CEO and Founder of Aqilla , on why the finance teams that benefit most from AI will likely be the ones that strike the right balance between automation and oversight SHARE THIS STORY At first glance, finance and accounting appear to be ideal environments for AI integration. The work is structured, rules-driven and built on numerical data, which AI can automate and process at scale and speed.
Enterprise AI autonomy starts with a solid foundation
Author Louis Landry Published 17 July 2026 Estimated Read time 5Mins Louis Landry, Chief Technology Officer at Teradata explains why it’s an exciting time for enterprises who are leveraging agents to transform their processes. SHARE THIS STORY Technological advances such as agentic AI have completely changed the way enterprises work for the better, but they have also posed several challenges.
Enterprises shift from AI experimentation to ROI discipline as costs mount
Author Sascha Giese Published 17 July 2026 Estimated Read time 5Mins Sascha Giese, Tech Evangelist at SolarWinds talks to us about how to manage the transition from AI experimentation to delivery. SHARE THIS STORY When Johnson & Johnson revealed a shift in its AI strategy last year, it signalled the end of a period of experimentation for the pharmaceutical giant and the beginning of a more disciplined, results-driven era.
Cyber risk is in the boardroom. Now it needs to speak the language.
Author Asdrubal Picardo Published 16 July 2026 Estimated Read time 5Mins Asdrubal Picardo, CEO at Squalify, explains why cyber risk now sits alongside credit, liquidity and operational risk as a driver of enterprise value. SHARE THIS STORY For most of its history, cyber risk was somebody else’s problem – at least, that’s how the boardroom saw it. It lived in IT, spoke in acronyms, and was measured in things boards neither understood nor needed to. Firewalls. Patch cycles. Vulnerability scores.
Fit AI to the problem, not the other way around
Author Sean Evers Published 15 July 2026 Estimated Read time 5Mins Sean Evers, VP of Sales & Partner at Pipedrive explains why using AI effectively involves redesigning workflows around business problems, whilst maintaining a focus on the human experience. SHARE THIS STORY AI appears to be everywhere, but clear results and a quantifiable ROI are not so common. Many businesses are learning that simply adopting the latest tools doesn’t guarantee efficiency, innovation or growth.
Why “vibe coding” isn’t the problem
Author Paul Done Published 14 July 2026 Estimated Read time 5Mins Paul Done, Field CTO at MongoDB talks to us about why people who think ‘vibe coding’ is all just lazy, AI generated code, are missing the valuable contribution AI can make to high-quality coding. SHARE THIS STORY Very few phrases in software have spread as quickly, or been as misunderstood, as “vibe coding”.
2026: When your network works as hard as you do
Author Markus Nispel Published 13 July 2026 Estimated Read time 5Mins Markus Nispel, Head of AI Engineering & EMEA CTO at Extreme Networks explains why your strategy and budget aren’t holding up your AI network initiatives – your execution is. SHARE THIS STORY The pilot phase is over. A third of companies have now scaled AI into production. For everybody else, the holdup isn’t strategy or budget – it’s execution.