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INSIGHTS
Shaping Tomorrow’s Technology, Transparently
Expert perspectives, practical lessons, and industry trends from transparently.tech



Why Tech Delivery Loses Momentum and Costs Start to Spiral
We are typically called into organizations at a very specific, painful moment. It isn’t at the start, when energy is high, ambition is clear, and the roadmap feels limitless. It is much later when progress should be visible and compounding, but instead, everything feels exponentially harder than it should. In these environments, the initial velocity hasn’t just slowed; it has been consumed by the very organization it was meant to transform. Leadership finds itself trapped in


The EU Act Explained: What It Is, Why It Matters, and How It Could Affect You
Think the EU AI Act is just a 'Brussels problem'? Think again. Despite Brexit, the European Union’s landmark Artificial Intelligence Act—the world’s first comprehensive AI law—has a reach that spans the English Channel. If your UK organization develops AI, sells it to European clients, or even just uses AI tools whose outputs reach the EU, you are likely already within its crosshairs. Where we are now: Aug 2026: major requirements for high-risk AI systems apply and organis


Going AI Native: Create More, Spend Less, Move Faster
Why a new development model is changing how digital products are built For years, building software meant long timelines, high costs and a lot of guesswork. Teams collected requirements, planned releases and hoped they were building the right thing. But the pace of change has accelerated. Markets shift faster. Expectations rise faster. And AI now gives us tools to operate at a completely different speed. That is why we embraced an AI native development model. It lets our clie


How RAG Fixes AI’s Accuracy Problem
RAG is a smarter way to use AI. Instead of hoping it “knows” the answer, RAG makes sure it can find the answer - from the right place, at the right time.


Your AI’s is confident but is it correct?
The Hidden Risks of Using AI in Business: Why LLMs Aren’t a Magic Bullet The AI Promise vs. Reality Large Language Models (LLMs) like...


What Makes Uber Tick? The Real-Time Data Behind Every Ride
Few companies illustrate the power of real-time data analysis better than Uber. From matching riders to drivers to determining fares in the blink of an eye, Uber’s entire business model is built on instantaneous decision-making. The company’s success is a case study in how real-time analytics can turn a simple app into a global logistics powerhouse.
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