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 Types of machine translation (and how to choose the right one)
Some types of machine translation systems follow strict grammar rules. Others rely on stats. Today’s most advanced ones use deep learning to mimic how humans speak. Each type has strengths,…
Updated on December 19, 2025·Mia Comic The simplest guide to neural machine translation
Neural machine translation (NMT) sounds technical and complex. But at its core, it’s just how modern AI translates one language into another. If you’ve ever used Google Translate, watched subtitles…
Updated on December 19, 2025·Mia Comic NLP vs. LLMs: What’s the difference?
Natural language processing. Large language models. Two terms you’ve probably seen tossed around in AI conversations. Sometimes they’re even used like they mean the same thing. But they don’t. For example, using an LLM for translation showcases capabilities that go beyond traditional NLP approaches. Long story short, NLP is the broader field
Updated on May 15, 2025·Mia Comic 
