Category: AI
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When the Law Blinks, Tech Has Already Moved On
By the time you finish reading this article, someone, somewhere will have pushed a new AI model update into production. The models that power our apps, shape our feeds, and process our data are changing at a pace no regulator has ever had to match yet. And that is the current paradox: AI compliance is…
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When Numbers Decide Billions: Scoring Models in FinTech
Sometimes, the most important decisions in fintech don’t happen in boardrooms. They happen invisibly in milliseconds. A card swipe in Paris, a loan request in São Paulo, a new account opening in Warsaw – each of these triggers the same process: a scoring model deciding whether money moves or stops. For the customer it looks…
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Ai4 Vegas – How Did It Really Go?
Long story short: it was big, loud, well-organised, full of interesting companies presented and dedicated people worth meeting. And yes, the boxing robot (that we think had Usyk as his inspiration) might still be one of our favourite memories. Now to the details. The opening keynotes felt like a stadium show with all the screens,…
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Your LLM Is a Perfect Spy (And Why Prompt Engineering Won’t Save You)
Since our latest article was about data leaks we had no other choice except to deep dive into this topic. That piece looked at it from the outside: what they are, why they happen, and who’s responsible. This one goes inside: into the architecture, the safeguards and the day-to-day practices we use at Lerpal to…
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Leaked Tokens, AI And The “Who’s Responsible?” Moment
Imagine you are a hacker (only in your imagination, please!), and you’ve just stumbled onto an open database of a promising AI startup. In it, you’ll find internal logs, user queries and hundreds of thousands of authentication tokens just sitting there, begging to be misused. That happens way more than you’d think. In a recent…
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How LLMs Are Actually Being Used in Mobile Apps
Oh no, another AI article? Well, yes, and a useful one. Since (like it or not) we are now living in the age of industrial-grade AI, if you are building mobile products, it’s something you might have to deal with hands on. AI is already inside the apps on your phone, shaping how they work,…
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AI in Fintech: The Quiet Revolution Behind the Scenes
AI in fintech used to be a word you put in your pitch deck to look future-proof. In 2025, it’s something else entirely. Something more grounded: a set of evolving tools quietly reshaping the way financial services operate from the back office to the user interface. Some teams are using AI to radically reduce fraud.…
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The Human Edge: What AI Can’t Replicate
During the past few years, with the advancement of generative AI, we can definitely say – it is doing impressive things. AI can generate code, write blog posts (not this one, though), summarize meetings, design landing pages, and even pretend to understand your brand voice. It’s fast, tireless, and almost always confident – until you…
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AI reinventing SaaS sales and Digital Marketing
“AI isn’t just GenAI,” John Roese, Global CTO of Dell Technologies, said on a recent Tomorrow’s Tech Today webcast. “It’s a whole bunch of domains and it’s about moving work into machines.” Are there capabilities allowing us to have machines not only develop, maintain and support, but also advertise and sell products? IDC reports AI…
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AI in Lerpal practice
Natural Language Processing and Machine Learning fall under Artificial Intelligence as an umbrella term meaning machines simulating human intelligence. Natural Language Processing focuses on techniques where computers understand and translate the human language. Machine Learning applies algorithms to make machines automatically learn and improve from experience.