Season 1, Episode 2: AI amnesia, health tech, and why humans are hard to emulate
In this episode of AI Navigators, we sit down with Sasho Savkov, Engineering Manager for the AI/ML team at Lokalise. With a PhD in clinical information extraction and nearly a decade building healthcare solutions, Sasho brings a unique perspective on what’s actually working versus what’s just noise. He challenges one of the biggest assumptions in AI today: that current single-shot learning approaches will lead us to human-level intelligence. His insights rev
Updated on September 9, 2025·Rachel Wolff RAG vs the buzz: How Retrieval-Augmented Generation is quietly disrupting AI
As a Product Manager leading AI innovations at Lokalise, I’ve been closely following the latest AI news and filtering out the noise that inevitably comes with a revolutionary tech boom. AI has moved incredibly fast since ChatGPT exploded into the mainstream in late 2022, what I like to call ‘the GPT moment’. We’ve seen major model releases roughly every few months, from GPT-3.5 through GPT-4, GPT-4o, and most recently GPT-5 with its integrated reasoning capabilities launched in Au
Updated on September 12, 2025·Adam Soltys AI translation quality achieves human parity: Is this the end of language barriers?
To paraphrase Captain Kirk, AI has boldly gone where no machine has gone before: it has finally reached human-level translation quality. But this doesn’t mean we’re done with AI translation. Far from it. We’re only just getting started, and the possibilities are both endless and exciting. After decades of clunky, error-prone, and literal-sounding machine translation, we’ve reached a pivotal moment where automated translation matches human quality. When fed t
Updated on August 13, 2025·Rachel Wolff Season 1, Episode 1: A product leader’s guide to going beyond the AI hype to find what actually works
In this episode of AI Navigators, we sit down with Adam Soltys, Senior Product Lead for the AI Translations Domain at Lokalise, to explore what’s actually driving AI success in enterprise applications today. With every company claiming to be ‘AI-powered’, how do you cut through the noise? Adam reveals what’s actually working: while everyone’s talking about AI agents, the real impact is coming from an ‘old school’ technology that’s quietly delivering extraordinary result
Updated on August 12, 2025·Rachel Wolff Building an AI-powered translation flow using Lokalise API and webhooks
Managing translations in a growing product can quickly become repetitive and error-prone, especially when dealing with frequent content updates or multiple languages. Lokalise helps automate this process, and with the right setup you can build a full AI-powered translation pipeline that runs with minimal manual input. In this guide, you’ll learn how to: Upload translation files to Lokalise automaticallyCreate AI-based translation tasksUse webhooks to downloa
Updated on July 22, 2025·Ilya Krukowski Machine Translation for Your Business: Benefits and Best Practices
Translation is a pivotal action in the globalization strategy for your business. By making your product available in different languages, you potentially reach new audiences that help grow your visibility and your revenue. Machine translation is a popular term, but many questions are often asked around this topic: What is the extent of automatic translation? What is the advantage of machine translation? This article aims to give you all the information you need about machine
Updated on June 19, 2025·Lucie Genot The real-world applications of machine translation
Machine translation (MT) is currently being employed in areas like customer support, e-commerce, healthcare, education, government resources, instruction manuals and social media in order to enable multilingual communication in a cost-effective way. While it’s been around for decades, it’s only in recent years that individuals and organizations have started relying on it for their everyday needs. So much so that, according to
Updated on June 16, 2025·Ambra Santoro Statistical Machine Translation (SMT): The simplest guide out there
Before neural networks took over, machines learned to translate by looking at patterns in large sets of human-translated texts. This approach is called Statistical Machine Translation (SMT). It was a…
Updated on May 30, 2025·Mia Comic 
