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 Lost in Translation: How Emojis Confuse Workers and Customers Around the World
Emojis feel like they should be a shared language in the digital world, but that’s not always the case. But when 👀 and 🤔 mean different things to different people, it’s easy for well-meaning messages to get misunderstood. To explore how emoji meanings shift across borders, platforms, and generations, we surveyed over 1,000 employees and consumers from the U.S., the U.K., Germany, and Mexico. What we found was that cultural localization isn’t just for product pages and ad campaigns. It
Updated on September 4, 2025·Brittany Wolfe How to Win Organic Visibility with SEO Translation
You’ve meticulously translated your content into French, Spanish, and Arabic. But traffic is still flatlining across all these markets. Why? Because your website is practically invisible to search engines. The problem? You’re translating content only for linguistic and cultural accuracy, not for search engines. SEO translation modifies your content based on how people search and what search engines prefer in a local market. It maintains linguistic accuracy and cultural conte
Updated on August 29, 2025·Shreelekha Singh Why global expansions fail (and how research can save you)
What do Disney, Starbucks, Walmart, Coca-Cola, and eBay have in common? They all stumbled when expanding globally. Despite their huge success in their home market, these companies learned the hard way that what works in one country doesn’t automatically translate to another. As someone with a PhD in behavioral science and psychology, I’ve seen this pattern repeat itself countless times. What’s behind global expansion fails? A lack of proper research before ente
Updated on August 20, 2025·Rebecca Grier Syncing Lokalise translations with GitLab pipelines
In this guide, we’ll walk through building a fully automated translation pipeline using GitLab CI/CD and Lokalise. From upload to download, with tagging, version control, and merge requests. Here’s the high-level flow: Upload your source language files (e.g. English JSON files) to Lokalise from GitLab using a CI pipeline.Tag each uploaded key with your Git branch name. This helps keep translations isolated per feature or pull request
Updated on August 18, 2025·Ilya Krukowski Build a smooth translation pipeline with Lokalise and Vercel
Internationalization can sometimes feel like a massive headache. Juggling multiple JSON files, keeping translations in sync, and redeploying every time you tweak a string… What if you could offload most of that grunt work to a modern toolchain and let your CI/CD do the heavy lifting? In this guide, we’ll wire up a Next.js 15 project hosted on Vercel. It will load translation files on demand f
Updated on August 13, 2025·Ilya Krukowski 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 
