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CI makes teamwork easier for developers and keeps projects manageable and on track.","continuous-integration",[1879,1881,1883,1885,1888,1891,1894,1897],{"id":211,"slug":1880},"externalized-string",{"id":634,"slug":1882},"intellij-idea",{"id":536,"slug":1884},"integrated-development-kit-ide",{"id":1886,"slug":1887},203,"no-code",{"id":1889,"slug":1890},219,"platform-engineering",{"id":1892,"slug":1893},220,"internal-developer-portal",{"id":1895,"slug":1896},221,"developer-onboarding-experience",{"id":1898,"slug":1899},222,"gitops",{"id":1901,"status":5,"owner":1902,"created_on":1903,"title":1904,"excerpt":1905,"content":1906,"slug":1907,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1908},136,"562275e3-c1f6-48fa-ae16-dc81789ee6e0","2023-11-17T19:41:12.000Z","HAMT","Human-Assisted Machine Translation, i.e., a process where a human reviews translations generated by machine translation engines. ","Human-Assisted Machine Translation is also known as MT plus post-editing and\u002For pre-editing.\n\nPrimarily, all the translation tasks are being done by machine translation and then they are edited by a human or vice versa. A high amount of MT eliminates expensive work and can be used especially in translation projects with repetitive content.\n\nLocalazy's Human-Assisted Machine Translation services are also recommended for:\n\n* Project testing in new markets where the budget is tight or time restrictions are pressing.\n* Localizing content to languages that are not a priority now but need a functional version.","human-assisted-mt",[1909,1910,1912],{"id":71,"slug":1469},{"id":513,"slug":1911},"maht",{"id":1913,"slug":1914},169,"ai-powered-translation",{"id":988,"status":5,"owner":1872,"created_on":1873,"title":1916,"excerpt":1917,"content":1918,"slug":1919,"meta_title":10,"meta_description":10,"canonical":10,"related_terms":1920},"MTPE (Machine Translation Post-Editing)","MTPE stands for Machine Translation Post-Editing. ","MTPE is the process of making machine translations more accurate by human revision. Typically, this process is crucial to ensure accurate translations of highly specialized texts which can't be translated convincingly by MT alone.\n\n> MTPE is also one of the services provided by the Localazy [Continuous Localization Team](\u002Fdocs\u002Fgeneral\u002Fcontinuous-localization-team#virtual-translator). \n\nBy utilizing this approach, you can get more texts translated faster and with a standardized quality level. The advantage of MTPE in comparison with professional translator services is typically a more affordable price. ","mtpe-machine-translation-post-editing",[1921,1922,1923],{"id":45,"slug":1484},{"id":71,"slug":1469},{"id":513,"slug":1911},{"id":238,"status":5,"owner":1872,"created_on":1873,"title":1925,"excerpt":1926,"content":1927,"slug":1928,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1929},"Translation Management System (TMS)","A software for translation process automation.","TMS help increase production efficiency by eliminating, automating, and delegating both one-time and repetitive tasks during the translation process. Translation management systems help teams manage multilingual content, assign tasks, track progress, and maintain translation quality. TMS platforms are widely used in localization projects to handle large amounts of text efficiently. \n\nThey support features like translation memories, glossaries, and automated workflows. This makes the translation process faster and more consistent, especially for businesses that need content in multiple languages. [CAT tools](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fcat-tool) are a subtype of TMSs.\n\nTranslation management systems [like Localazy](https:\u002F\u002Flocalazy.com\u002Fterm\u002Ftranslation-management-system) usually consist of two parts. One takes care of workflow management and the second one aids with the translation process using different technologies and methods, such as:\n\n* [Machine translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation)\n* [Translation Memory](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Ftranslation-memory)\n\nThese systems are ideal for large-scale translation projects, as they provide a vast range of features. \n\n## ☝️ Top features of a TMS:\n\n* Centralizes translation tasks in one platform.\n* Assigns jobs to translators and tracks progress.\n* Uses a translation memory to avoid repeated translations.\n* Ensures consistency with built-in term bases.\n* Helps companies scale content across languages.\n\nWith a TMS, teams can work together smoothly to manage translations. It provides the tools needed to keep projects on track and ensures high-quality results every time. However, they can be pricey for single users or small teams who may benefit from them as well, especially for [quality assurance](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fqa-quality-assurance) processes.","translation-management-system-tms",[1930,1931,1933],{"id":45,"slug":1484},{"id":15,"slug":1932},"cat-tool",{"id":71,"slug":1469},{"id":71,"status":5,"owner":1872,"created_on":1935,"title":1936,"excerpt":1937,"content":1938,"slug":1469,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1939},"2026-05-12T07:09:22.000Z","Machine translation (MT)","The process of translating using computational linguistics.","A machine translation engine is a software tool that translates a text from one language to another without the help of human translators.\n\nMachine translation, also known as MT, is widely used as the first round of translations and is frequently very effective for short strings. However, it can produce unsatisfactory results when context knowledge is required, and thus, a human review is always advised.\n\n### 💬 Methods used in machine translation\n\nMachine translation engines recently experienced huge improvements related to the advanced use of neural networks, but they generally rely on these different methods:\n\n* [Statistical machine translation (SMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fstatistical-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fstatistical-machine-translation\u002F\")\n* [Example-based machine translation (EBMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fexample-based-machine-translation \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fexample-based-machine-translation\")\n* [Hybrid machine translation (HMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhybrid-machine-translation \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhybrid-machine-translation\")\n* [Neural machine translation (NMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F\")\n\nNeural machine translation (used by [AI-powered translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fai-powered-translation) engines) is the most sophisticated type of instant translation today. It uses machine learning to improve its translation capabilities. As the engine translates more text with each request, the better results it produces with time by learning. Most instant translation services use this technology.\n\n### 🔍 What's the difference between HAMT and MAHT?\n\nWithin the realm of machine translation, it’s important to distinguish between **Human-Assisted Machine Translation (HAMT)** and **Machine-Assisted Human Translation (MAHT)**:\n\n* [**Human-Assisted Machine Translation (HAMT)**](\u002Fdictionary\u002Fhuman-assisted-mt): This process involves a human reviewing translations generated by machine translation (MT) engines. It is also known as MT plus post-editing and\u002For pre-editing. The machine handles the initial translation, which is then edited by a human to improve accuracy and context. This approach is useful for projects with repetitive content and where budget or time constraints are significant.\n* [**Machine-Assisted Human Translation (MAHT)**](\u002Fdictionary\u002Fmaht): In this method, human translators use computer software to aid their work. Translators receive machine translation suggestions, but they decide how to use them. This approach allows for high translation accuracy while benefiting from features like translation glossaries and memories, which enhance the efficiency and consistency of the translation process.\n\n### 🦾 MT engines available in Localazy \n\nLocalazy users can use the most popular and advanced [MT engines](https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fmachine-translation \"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fmachine-translation\") to translate their content:\n\n* Amazon Translate (available for free)\n* Google Translate\n* DeepL\n* Azure Translator\n* OpenAI (ChatGPT), with your own API key\n\n> *Users can unlock different engines depending on the plan they buy. See our [pricing](https:\u002F\u002Flocalazy.com\u002Fpricing) and [docs](https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines?srsltid=AfmBOoo--lURSBHDiHEoe3rYL3xSQHaZcTsl6kd7wwUYRGC-sGTTmG94 \"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines?srsltid=AfmBOoo--lURSBHDiHEoe3rYL3xSQHaZcTsl6kd7wwUYRGC-sGTTmG94\") for more details.*\n\n### 📚 Additional resources:\n\n* [What is machine translation?](https:\u002F\u002Fwww.gala-global.org\u002Fwhat-machine-translation)\n* [History of machine translation](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FHistory_of_machine_translation)",[1940,1941,1942,1944],{"id":513,"slug":1911},{"id":988,"slug":1919},{"id":917,"slug":1943},"deepl",{"id":1901,"slug":1907},{"id":251,"status":5,"owner":1872,"created_on":1946,"title":1947,"excerpt":1948,"content":1949,"slug":1950,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1951},"2026-05-12T07:09:23.000Z","Machine learning (ML)","A branch of artificial intelligence that uses algorithms to look for patterns and make predictions, deciding things like what recommendations to show you.","Machine learning (ML) utilizes computers to solve practical problems without necessarily having to write explicit code. It is what made self-driving cars, practical speech recognition, effective web search, and a better understanding of the human genome possible.\n\nThis branch of artificial intelligence uses algorithms to look for patterns and make predictions, deciding on things like what recommendations to show you on Netflix.\n\nArthur Samuel, the inventor of the checkers playing program \"Beaver\" and an early computer expert at IBM and Carnegie Mellon University, is credited for coining the term. \n\nAutomation and ML are ideal solutions in cases where we can apply a data-defined pattern or set of rules. By now, you probably use machine learning so many times a day that you don't even notice it anymore.\n\n### ⚙️ Techniques used in ML\n\nThere are two main techniques used in machine learning:\n\n* **Supervised learning**: The idea behind supervised learning is to mimic the way humans learn. Supervised learning uses dynamic adjustments to the model, much like humans build knowledge on what they've learned in the past.\n* **Unsupervised learning**: When you're exploring a large amount of data, unsupervised machine learning can be very helpful. One way to think of unsupervised learning is to imagine that a computer has been placed in a room full of data and is being asked to discover patterns on its own.\n\nMany researchers think the best way for computers to approach human-level intelligence is through a series of stepwise refinements in the development of AI.\n\n[Machine translation engines](\u002Fdictionary\u002Fmachine-translation) have evolved over time to use machine learning principles instead of a simple word-by-word approach to provide more accurate translations. \n\n> *Localazy includes suggestions from the most popular machine translation engines such as [DeepL that utilize machine learning in the background](\u002Fdictionary\u002Fdeepl) so translators can deliver their work more efficiently.*\n\n### 📚 Further reading\n\n* Learn more about [machine translation suggestions built-in to Localazy](\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines).\n* Learn more about [Netflix's machine learning algorithms behind their recommendation system](https:\u002F\u002Ftowardsdatascience.com\u002Fdeep-dive-into-netflixs-recommender-system-341806ae3b48).\n* You can learn about IBM's rich history in machine learning [here](https:\u002F\u002Fwww.ibm.com\u002Fibm\u002Fhistory\u002Fibm100\u002Fus\u002Fen\u002Ficons\u002Fibm700series\u002Fimpacts\u002F).","machine-learning-ml",[1952,1953],{"id":71,"slug":1469},{"id":917,"slug":1943},{"id":1955,"status":5,"owner":1872,"created_on":1946,"title":1956,"excerpt":1957,"content":1958,"slug":1959,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1960},79,"Internationalization (i18n)","The process of making your software localizable.","Internationalization (i18n) is the process of preparing software, digital products, and content so they can be easily adapted for various languages, regions, and cultures without requiring extensive reengineering.\n\nThis foundational step ensures that a product can be efficiently localized to meet the needs of different global markets. To internationalize your software, you need to pay attention to technical requirements. The code structure and design has to be prepared to allow for [localization](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flocalization).\n\nIt involves considering various linguistic and cultural factors during the initial design and development phases. This process should start, ideally, in the design phase. For example, you may want to have externalised strings so you can bring your strings to the translation management tool.\n\nEvery business looking to expand their reach and provide User Experiences (UX) across diverse markets needs to consider internationalization and then localization.\n\n## 🌐 Key points about internationalization (i18n): \n\n* Internationalization involves creating flexible and adaptable designs that accommodate various languages, scripts, and cultural norms.\n* By preparing content and software for localization, internationalization simplifies the process of translating and adapting products for specific markets.\n* This process includes using Unicode, supporting different character sets, and ensuring compatibility with various regional formats (dates, currencies, etc.).\n* Investing in internationalization upfront reduces the time and cost associated with localizing products for multiple markets.\n\nBy prioritizing internationalization, companies can create products that are more versatile and ready for global distribution, ensuring they meet the needs of international users effectively.","internationalization",[1961,1962,1964,1966],{"id":20,"slug":1833},{"id":33,"slug":1963},"translation",{"id":37,"slug":1965},"globalization",{"id":57,"slug":1967},"gilt","Automation is transforming the localization industry. Taking advantage of the right MT and AI tools can improve accuracy and consistency while saving your team valuable time and resources. Learn how to implement automation workflows and how to spot the most common risks in this article.","\u003Cp>People want authentic conversations. They want to hear brands address them \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fmythbusters-our-users-speak-english-we-do-not-need-to-localize\">in their language\u003C\u002Fa>. Localizing content into their native tongue is one of the ways to achieve this level of clear and compelling communication.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Finsights.csa-research.com\u002Freportaction\u002F36540\u002FMarketing\">74%\u003C\u002Fa> of customers say that they would be more likely to buy from a business for a second time if they received customer support in their native language. 📞 \u003Cstrong>Localized customer support and a generally personalized experience are achievable if you use a well-researched localization strategy and automation\u003C\u002Fstrong>. Automation not only keeps your workflow pipelines free, but it also makes your teams more productive.\u003C\u002Fp>\u003Cp>Here at Localazy, we make automation \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontinuous-localization-team\">easy to implement\u003C\u002Fa> with our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fautomations\">features\u003C\u002Fa>. Developers, managers, and translators alike can benefit from automation \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-automate-translations-when-working-with-evolving-content-to-save-time\">to speed up their work processes\u003C\u002Fa> while they focus on tasks that deserve their attention. Today, we’re talking about automation and productivity from the lens of localization. But first, let’s focus on the localization part.\u003C\u002Fp>\u003Ch2 id=\"the-growing-need-for-l10n-in-2025\">🔮 The growing need for l10n in 2025 \u003Ca class=\"markdownit-header-anchor\" href=\"#the-growing-need-for-l10n-in-2025\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Every business wanting to expand globally learns in the process that localization is a must. That’s why the need for it keeps increasing: the localization services provider market, which was estimated at \u003Cstrong>USD 49.6 billion in 2024\u003C\u002Fstrong>,\u003Ca href=\"https:\u002F\u002Fdatahorizzonresearch.com\u002Flocalization-services-provider-services-market-49956\"> is expected to rise to USD \u003C\u002Fa>\u003Cstrong>\u003Ca href=\"https:\u002F\u002Fdatahorizzonresearch.com\u002Flocalization-services-provider-services-market-49956\">96.3 billion by 2033\u003C\u002Fa>\u003C\u002Fstrong>, at a \u003Cstrong>CAGR of 7.6%\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fenter-new-markets-with-quality-localization\">When you consider expanding to new markets\u003C\u002Fa>, you should know that you’re about to approach people who share different cultures, backgrounds, and languages. Most importantly, you’re communicating with people who share different perspectives about what you consider the best products, best branding elements, and best marketing practices.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_665822360.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cp>With localization, you take into account every aspect of expanding into a new market, from cultural distinctions to customer habits and natives’ buying psychology. It means you’ll adapt everything, from your website and\u002For mobile app to software and multimedia content, so it resonates with local audiences.\u003C\u002Fp>\u003Cp>When you prioritize localization, you're on your way to crossing all language barriers and connecting with customers on a deeper level, nurturing these relationships and turning them into loyal customers. 🤝\u003C\u002Fp>\u003Cblockquote>When it's time to expand to new markets, keep in mind that you're communicating with people who share different perspectives about products, branding elements and best marketing practices\u003C\u002Fblockquote>\u003Cp>To win the hearts of customers, you need \u003Cstrong>a localization-first expansion approach\u003C\u002Fstrong>, and companies that devote time and resources to it are better poised to thrive. However, we must mention that localization is time-consuming, but \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Flocalization\u002Fwhat-is-localization-automation\">automating processes and tasks\u003C\u002Fa> can shorten it without depleting your team’s productivity.\u003C\u002Fp>\u003Cblockquote>\u003Cem>❔ Did you know Localazy allows you to set up Automations that translate and pass your translations from one stage to the other on autopilot. Read more on this \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fautomations\">here\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"how-automation-increases-productivity\">🪄 How automation increases productivity \u003Ca class=\"markdownit-header-anchor\" href=\"#how-automation-increases-productivity\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Digital product teams are slowly learning to \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Flocalization-automation-language-product-service\">integrate automation into their processes\u003C\u002Fa> to be more efficient and productive. Your team can benefit from it too. Automation helps in various aspects of the localization process, \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fmulti-platform-localization-localazy-connected-projects\">minimizing time-consuming manual tasks\u003C\u002Fa> and freeing up time for strategic decision-making and creative work.\u003C\u002Fp>\u003Cp>With automation-powered tools, your teams can:\u003C\u002Fp>\u003Cul>\u003Cli>🧪 Extract and process content,\u003C\u002Fli>\u003Cli>🧳 translate and adapt it for different markets,\u003C\u002Fli>\u003Cli>👌 and keep consistency across multiple languages.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>In localization, automation can be applied in multiple stages of localization, including the content extraction phase and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fformat-conversions\">file conversions\u003C\u002Fa>. For example, tools powered by AI can scan and identify translatable text within digital products.🕵️\u003C\u002Fp>\u003Cp>\u003Cstrong>If done manually, localization takes a lot of work, which often delays launches in new markets\u003C\u002Fstrong>. Now, by combining machine translation, artificial intelligence (AI), and \u003Ca href=\"https:\u002F\u002Fwww.deeplearning.ai\u002Fresources\u002Fnatural-language-processing\u002F\">natural language processing (NLP)\u003C\u002Fa> technologies, localization teams can reach a satisfactory level of automation that helps them lower time-to-market for multilingual updates.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_668911928.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cblockquote>🤖 \u003Cem>Discover more about making content automation a true partner for your localization team in our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fautomation-should-work-with-your-team-not-against-it-bridging-the-gap-podcast-s02-ep10\">Bridging the Gap podcast episode with Paul Bratslavsky, Developer Advocate\u003C\u002Fa> at \u003Ca href=\"https:\u002F\u002Fstrapi.io\u002Fintegrations\u002FLocalazy\">Strapi\u003C\u002Fa>.\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"5-benefits-of-automation-tools-for-l10n-teams\">💡 5 benefits of automation tools for l10n teams \u003Ca class=\"markdownit-header-anchor\" href=\"#5-benefits-of-automation-tools-for-l10n-teams\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Automation tools are transforming localization by removing bottlenecks, improving output, and enabling scalability. Both \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Ftranslation-management-system-tms\">Translation Management Systems (TMSs)\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fcat-tool\">Computer-Aided Translation (CAT)\u003C\u002Fa> help automate tasks of the localization process to speed up launches to new markets. However, the most significant improvements in the localization process come from AI-enabled workflows that could involve using large language models (LLMs) to rewrite UI copy in context, or running automated quality checks with real-time model-in-the-loop scoring.\u003C\u002Fp>\u003Cp>Some systems can even adapt content tone or formality dynamically based on locale or user persona. Basically, the number of manual tasks can be reduced even further. Based on our experience driving localization wins for brands worldwide, here are five major benefits automation brings to the table:\u003C\u002Fp>\u003Ch3 id=\"1-reduces-localization-errors\">1. Reduces localization errors \u003Ca class=\"markdownit-header-anchor\" href=\"#1-reduces-localization-errors\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>Manual processes often lead to inconsistencies in structure, phrasing, or formatting that distort meaning at the local level. Automation minimizes these risks by enforcing standardized formatting, tone of voice, and using real-time validation tools to catch issues early.\u003C\u002Fp>\u003Cp>Advanced systems go further by using AI to spot tone mismatches, flag unlocalized terms, and ensure UI strings don't render incorrectly across layouts. Combined with automated \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flinguistic-quality-assurance\">Linguistic QA (LQA)\u003C\u002Fa> and context-aware checks, this drastically reduces rework and preserves the integrity of your messaging across markets.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📖 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Ftop-9-ux-translation-problems-and-how-to-solve-them\">Top 9 UX translation problems (and how to solve them)\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch3 id=\"2-sets-teams-for-maximum-productivity\">2. Sets teams for maximum productivity \u003Ca class=\"markdownit-header-anchor\" href=\"#2-sets-teams-for-maximum-productivity\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>Cloud-based TMS platforms like Localazy centralize translations in one location, supporting you throughout the process by enabling notifications, comments, and instant project updates. This keeps all team members and stakeholders connected. Also, with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fintegrations\">deep integrations\u003C\u002Fa> via CLI, API, and plugins (Figma, Strapi, Webflow, Zapier, and others), translations can be triggered as part of builds, content publication, or design updates.\u003C\u002Fp>\u003Cp>You can \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fautomated-workflows-series-translate-content-immediately-after-uploading-with-mt\">add intelligent Automations\u003C\u002Fa> that detect new strings, fire off pre-translations, and forward them to translators for review. Meanwhile, defined roles and automated notifications keep translators, reviewers, developers, and managers synced without meetings or chaos.\u003C\u002Fp>\u003Cp>The result? \u003Cstrong>Your team can collaborate on meaningful, creative localization tasks without worrying about technical, tool-switching, and administrative chores\u003C\u002Fstrong> while avoiding disorganization and chaos. You’re able to browse through translations, version changes, and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fguide-localazy-translation-services\">order translations fast\u003C\u002Fa>.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_698259266.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch3 id=\"3-achieves-higher-quality-accuracy-and-consistency\">3. Achieves higher quality, accuracy, and consistency \u003Ca class=\"markdownit-header-anchor\" href=\"#3-achieves-higher-quality-accuracy-and-consistency\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Flocalization\u002Fwhat-is-cat-in-localization\">CAT tools\u003C\u002Fa> play an important role in automating localization thanks to their translation memory, terminology management, glossaries, and style guides. They make it easier to keep consistent terminology, higher accuracy, and better translation quality. ✅\u003C\u002Fp>\u003Cp>Translators can then focus on creative localization tasks instead of repetitive ones, using \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontext-screenshots-ocr\">context-based tools\u003C\u002Fa> to uphold branding and stylistic consistency globally. The outcome? \u003Cstrong>Accurate, culturally-adapted translations that make brands appear local\u003C\u002Fstrong>. At the end of the day, successful and effective localization relies on details, such as using local language nuances, and automation makes time for it.\u003C\u002Fp>\u003Ch3 id=\"4-frees-up-time-and-distributes-resources-better\">4. Frees up time and distributes resources better \u003Ca class=\"markdownit-header-anchor\" href=\"#4-frees-up-time-and-distributes-resources-better\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>Automation in localization takes care of inefficient time-consuming tasks - from initial translation drafts to manual reviews. This leaves time and other resources to be distributed to impactful work. Especially when it comes to workflow management. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Frelease-update-localazy-ai-automated-workflows-and-more#automated-workflows-ai-filters-beta\">Automations\u003C\u002Fa> get rid of the need for manual task distribution, prevent delays, and save manhours.\u003C\u002Fp>\u003Cp>As a result, there will be more budget you can spend on professional translators, proofreaders, and developing your brand. 💸 You can go from on a budget to resourceful, and save money for other aspects of your brand development so you can grow rapidly. All this is possible when you use the right tech with a high level of automation.\u003C\u002Fp>\u003Cblockquote>Automations and context tools like glossaries, translation memories and style guides are a powerful combination that increase accuracy, reduce errors and allow team members to focus on creative localization tasks while ditching time-consuming repetitive chores\u003C\u002Fblockquote>\u003Ch3 id=\"5-makes-scaling-to-new-markets-easier\">5. Makes scaling to new markets easier \u003Ca class=\"markdownit-header-anchor\" href=\"#5-makes-scaling-to-new-markets-easier\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>When we talk about localization, we’re talking about a tool that will help you get your brand loved by foreign markets. 🌐 We’re talking about \u003Cstrong>powering your scaling efforts from day one\u003C\u002Fstrong> so that you can add new languages to your products\u002Fservices and enter new markets without much fuss as you grow.\u003C\u002Fp>\u003Cp>Scaling used to mean duplicated effort each time you added a new language to your product: copying strings, re-exporting files, rebriefing translators. Now, with automations, adding a new language becomes a configuration task, not a rewrite.\u003C\u002Fp>\u003Cp>The beauty of automated localization workflows lies in effortless scalability. 📈 Need to expand your Spanish launch into Portuguese? Update site navigation labels from English straight into right-to-left Arabic? Chances are, any changes and additions take just clicks rather than resource-draining manual work after you’ve set an automated localization workflow.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002Fpexels-vojtech-okenka-392018.jpg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"how-can-automation-improve-accuracy\">🔎 How can automation improve accuracy? \u003Ca class=\"markdownit-header-anchor\" href=\"#how-can-automation-improve-accuracy\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Accurate and consistent translations are vital for businesses that want to succeed in international markets. To achieve this, localization teams can turn to automation to improve translation accuracy and keep a consistent language across assets.\u003C\u002Fp>\u003Cp>Here’s when TMSs come into play. They are equipped with:\u003C\u002Fp>\u003Cp>- Error-flagging features 🚨\u003C\u002Fp>\u003Cp>- Context-providing features 📖\u003C\u002Fp>\u003Cp>- Intelligent suggestive algorithms 🦾\u003C\u002Fp>\u003Cp>- Backlogs to keep track of all translated versions 🗂️\u003C\u002Fp>\u003Cp>They make precise and error-free translations much easier to get. Automation-powered tools can efficiently handle repetitive and time-consuming tasks, making daily schedules more fun and productive. As a result, businesses can achieve faster time-to-market and respond to updates and feedback quickly.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_567862901.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch3 id=\"the-power-of-ai-driven-translation-tech\">The power of AI-driven translation tech \u003Ca class=\"markdownit-header-anchor\" href=\"#the-power-of-ai-driven-translation-tech\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>AI-driven translation tech is evolving fast. See, after advanced \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\">Neural Machine Translation (NMT)\u003C\u002Fa> reached a professional level of development, serving as a time-saving partner for translators, the industry received new tools like LLMs, which can now assist translators in maintaining both quality and volume in their work.\u003C\u002Fp>\u003Cp>LLMs can be fine-tuned on brand tone, glossary, and linguistic features you want to focus on while expanding to new markets. You can also benefit from AI-driven variant generations (e.g., formal\u002Finformal tone, UK\u002FUS English,) among other things. Here are some obvious benefits it presents:\u003C\u002Fp>\u003Cp>🚄 \u003Cstrong>Fast translations\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Ingesting large amounts of text trains advanced neural networks to map ideas between languages intuitively. Now AI translates in minutes what takes people hours. Increased processing speed means faster translations and major time and budget savings. While the produced translations might not have a satisfactory quality for you, the faster they’re produced, the faster your team can review and finish them.\u003C\u002Fp>\u003Cp>📝 \u003Cstrong>Better and more accurate first drafts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>AI models can deeply absorb the use of grammatical rules in target languages and produce first drafts of a higher quality. It’s worth noting that AI’s first drafts can be less awkward compared to human drafts. Not to mention that AI has no \u003Ca href=\"https:\u002F\u002Fblog.ollang.com\u002Fen\u002Fblog\u002Fblog-details\u002Fhow-to-defeat-translator%E2%80%99s-block-3-tricks-that-work\">translator’s block\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>🔠 \u003Cstrong>Terminology consistency\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Diligently referencing context and glossaries during drafting, AI consistently respects company terminology and brand voice. Furthermore, the tech can now easily integrate with live terminology APIs or shared termbases. 🗣️ This ensures uniform global messaging aligned with guidelines and avoids outdated or brand-inconsistent translations.\u003C\u002Fp>\u003Cp>But aren't \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-automate-translations-when-working-with-evolving-content-to-save-time\">automated translations\u003C\u002Fa> low quality? Not if you keep the right balance. Much like autonomous vehicles still need human attention, AI translation excels with a person who keeps their hands on the wheel from time to time. And most importantly, it can learn from its errors. For instance, a workflow that uses AI can look like this: MT or LLM first drafts → linguists review → AI learns from edits.\u003C\u002Fp>\u003Cblockquote>Company terminology and brand voice are kept consistent by AI. If we feed it with translators' insights, its output can be useful as an initial draft to be later polished by a human\u003C\u002Fblockquote>\u003Cp>AI produces better initial drafts when fed with insights from the translators. Otherwise, it’ll lead to generic and incorrect translations. When used correctly, it learns how we translate ideas between languages, and then it produces better translations.\u003C\u002Fp>\u003Cp>Together, this augmented translation approach achieves accuracy and articulation that traditional methods can’t easily reach. \u003Cstrong>Blending the translator's passion with the processing power of AI creates excellent localized assets\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_610060920-1.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"risks-of-automation-and-ai-in-localization\">🤖 Risks of automation & AI in localization \u003Ca class=\"markdownit-header-anchor\" href=\"#risks-of-automation-and-ai-in-localization\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Even with all the progress in AI, translators and localization teams are still needed. But using this tech comes with some risks as well. While these tools can assist human translators, they can't fully replace their judgment, cultural awareness, or domain expertise. Here are three of the biggest risks to keep in mind:\u003C\u002Fp>\u003Ch3 id=\"1-quality-issues\">1. Quality issues \u003Ca class=\"markdownit-header-anchor\" href=\"#1-quality-issues\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>AI-generated translations often need \u003Cstrong>extensive human review (especially for legal, medical, technical, or UX-critical content\u003C\u002Fstrong>). Even with large training datasets, AI still struggles with nuance, tone, and proper formatting in \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flow-resource-languages\">low-resource languages\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fbridging-the-gap-podcast-s02-ep05-building-for-rtl-languages\">right-to-left (RTL) scripts\u003C\u002Fa>. Overreliance without QA can lead to inaccuracies that damage trust or create compliance issues.\u003C\u002Fp>\u003Ch3 id=\"2-biased-translations\">2. Biased translations \u003Ca class=\"markdownit-header-anchor\" href=\"#2-biased-translations\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>Algorithms lack a human perspective. 🤖  AI learns from the data it’s trained on. That means it can reflect and amplify cultural biases, political inaccuracies, or outdated assumptions. Unlike professional translators who are briefed on the target audience and context, AI lacks the ability to judge what's appropriate or offensive. This is especially risky when translating content for sensitive or regulated industries.\u003C\u002Fp>\u003Ch3 id=\"3-hallucinations-and-misinterpretations\">3. Hallucinations and misinterpretations \u003Ca class=\"markdownit-header-anchor\" href=\"#3-hallucinations-and-misinterpretations\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>AI can generate confident-sounding translations that are factually incorrect, known as “hallucinations.” These errors are not only awkward, but they can also mislead users or violate accuracy standards too. Without proper human review or automated QA layers, these risks can easily slip into production.\u003C\u002Fp>\u003Cp>But while these are considerable challenges that arise with the use of AI and automation in localization, there is another pressing one that can be more alarming than a bad translation: data security. 🔐\u003C\u002Fp>\u003Ch3 id=\"4-data-privacy-and-security-risks\">4. Data privacy and security risks \u003Ca class=\"markdownit-header-anchor\" href=\"#4-data-privacy-and-security-risks\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>When using cloud-based AI tools, content is often processed on external servers. If you're sending confidential legal docs or unpublished UI copy through these pipelines, you’re potentially exposing sensitive information. In regulated markets, that can mean violations of GDPR, HIPAA, or the \u003Ca href=\"https:\u002F\u002Fwww.europarl.europa.eu\u002Ftopics\u002Fen\u002Farticle\u002F20230601STO93804\u002Feu-ai-act-first-regulation-on-artificial-intelligence\">EU AI Act\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>Remember that when using AI, you’re uploading your sensitive data to Big Tech’s clouds. You could be passing highly sensitive information to be translated, and in the case of data breaches and unauthorized access, \u003Cstrong>that information could end up in the wrong hands and compromise your or your clients' reputation\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📚 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fsafeguarding-the-privacy-of-your-ai-translated-project-what-you-need-to-know-gpt-series-2\">Safeguarding the privacy of your AI-translated project: What you need to know\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cp>Digital product teams should adopt strong security measures and encryption protocols to \u003Ca href=\"https:\u002F\u002Fslator.com\u002Finnovating-at-the-speed-of-ai\u002F\">protect user data and intellectual property\u003C\u002Fa>. Compliance with privacy regulations and data protection laws in different markets is imperative to avoid legal repercussions. Furthermore, some other measures might include:\u003C\u002Fp>\u003Cul>\u003Cli>🗃️ Secure file transfer protocols to protect shared data\u003C\u002Fli>\u003Cli>🔓 Use multi-factor authentication and encrypt data at rest and in transit\u003C\u002Fli>\u003Cli>👷‍♀️ Conduct regular security audits to identify and fix vulnerabilities\u003C\u002Fli>\u003Cli>🖥️ Use on-prem or private translation engines for high-sensitivity content\u003C\u002Fli>\u003Cli>🕵️ Apply redaction filters to mask private or regulated information before processing\u003C\u002Fli>\u003Cli>✅ Vet vendors for SOC 2, ISO 27001, or AI Act compliance\u003C\u002Fli>\u003C\u002Ful>\u003Cp>While risks will always be present, by taking some of these measures, localization teams can have some level of protection when using automation and AI to improve translation quality and productivity in the localization process.\u003C\u002Fp>\u003Cblockquote>\u003Cem>🎙️ Curious about ISO 27001 and data security?\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fs01-ep-02-bridging-the-gap-podcast\"> Listen to our podcast episode with cybersecurity expert Ferry Haris and Localazy CEO Václav Hodek\u003C\u002Fa> to learn how certification protects your business\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002Fpexels-google-deepmind-18069694.jpg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"the-future-of-automation-in-l10n\">👀 The future of automation in l10n \u003Ca class=\"markdownit-header-anchor\" href=\"#the-future-of-automation-in-l10n\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>AI empowers remarkable text translations today. However, studying cross-disciplinary leaps in voice recognition, computer vision, and generative AI, among others, hints at a future with localization solutions of a science-fiction level. Imagine:\u003C\u002Fp>\u003Cul>\u003Cli>📸 Images that instantly display localized text overlays, visible only to users in specific regions.\u003C\u002Fli>\u003Cli>💬 AI-generated content that adapts tone, language, and phrasing based on cultural or demographic signals.\u003C\u002Fli>\u003Cli>🗺️ Websites that automatically rearrange layout, directionality, and content structure based on the user’s locale.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>And that just covers consumer translations. On the workflow side, we could have translation models retrain themselves based on how your brand language evolves. Monitoring systems will catch textual inconsistencies across markets in real time, flagging off-brand or outdated phrases before they go live.\u003C\u002Fp>\u003Cp>As these systems get smarter, localization will shift from a manual process to a responsive, intelligent layer of global product delivery. The line between human-crafted and machine-generated localization will get harder to see. Eventually, even experts may struggle to distinguish machine versus human-generated localization.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📚 \u003Cstrong>Recommended read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Ftranslation-technology-exploring-the-pros-and-cons-of-ai-translation\">Translation technology: Exploring the pros and cons of AI translation\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch3 id=\"how-to-prepare-your-team-for-automation-adoption\">🛠️ How to prepare your team for automation adoption \u003Ca class=\"markdownit-header-anchor\" href=\"#how-to-prepare-your-team-for-automation-adoption\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>The speed of adaptation says a lot about your business growth. And this is no different when it comes to automation and AI. \u003Cstrong>You need to adapt your team slowly\u003C\u002Fstrong> so that when change becomes mandatory, you don’t instantly shift to new tech within a day. Here are some things you can do to speed up this process.\u003C\u002Fp>\u003Cp>😰 \u003Cstrong>Address their fears\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Be honest about how AI helps do repetitive work, so they can pursue more creative, valuable tasks. Calm fears that jobs are at risk. Make it clear that everyone stays crucial.\u003C\u002Fp>\u003Cp>👂 \u003Cstrong>Involve them early on\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Ask which manual tasks slow them down. Let them test automation tools that solve their real pain points. Early involvement builds ownership and reduces resistance.\u003C\u002Fp>\u003Cp>\u003Cstrong>✍️ Run hands-on training\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Don’t just announce new tools, but teach them and mentor your team on using them. Walk through real workflows using automation so the team feels confident, not confused.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_689399289.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cp>🫵 \u003Cstrong>Share real-life examples\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Show examples of successful automation applications. Whether stats show quicker translations or reviews, before-and-after data convinces. Momentum removes uncertainty over positive impact.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📌 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Finside-genspark-real-test-in-cross-channel-localization-with-ai-agents\">Inside Genspark: A real test in cross-channel localization with AI agents\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cp>🏅 \u003Cstrong>Recognize their efforts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>From trying updated processes to mastering new systems, reward cooperation openly. Reinforce willingness to evolve together towards efficiency. Appreciation fuels team spirit and triumphs over reluctance.\u003C\u002Fp>\u003Ch2 id=\"final-thoughts\">📌 Final thoughts \u003Ca class=\"markdownit-header-anchor\" href=\"#final-thoughts\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>As AI, automation, and smarter content systems evolve, localization is becoming faster, more accurate, and deeply integrated into how global products are built and scaled. For teams aiming to reach new markets without slowing down, automation is the foundation for excellent work.\u003C\u002Fp>\u003Cp>At Localazy, we help you localize without the typical chaos. Our powerful TMS is completely web-based and has been used by large brands worldwide to expand into global markets. Coupled with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-localazy-cli-to-streamline-your-localization-workflow\">our CLI\u003C\u002Fa> and the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fthe-ultimate-guide-to-localazy-api\">Localazy API\u003C\u002Fa>, speed and simplicity are guaranteed in all your l10n workflows while your content remains up-to-date. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fregister\">Sign up\u003C\u002Fa> today and test it yourself for free.\u003C\u002Fp>",{"id":19,"status":5,"created_on":1971,"modified_on":1972,"icon":1973,"header":1974,"description":1975,"button_label":1976,"link":1977},"2022-03-17T12:23:03.000Z","2023-01-19T11:50:04.000Z","member","Automate your localization today! ⚙️","Translate your project in a breeze, utilize the advanced features and fully automate your localization process with Localazy! ","Join Localazy","register",{"slug":1859,"id":1852,"uuid":1979,"title":1858,"html":1980,"comment_id":1852,"feature_image":1862,"featured":163,"visibility":1981,"email_recipient_filter":1982,"created_at":1983,"updated_at":1860,"published_at":1861,"custom_excerpt":1968,"codeinjection_head":10,"codeinjection_foot":10,"custom_template":10,"canonical_url":10,"tags":1984,"authors":2045,"primary_author":2051,"primary_tag":2052,"url":2053,"excerpt":1968,"reading_time":19,"access":163,"send_email_when_published":162,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"email_subject":10,"frontmatter":10,"dictionary":1870,"cta":1970,"plainTags":1863},"f1373929-006a-4258-b0c1-e4eb9719faa3","\u003Cp>People want authentic conversations. They want to hear brands address them \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fmythbusters-our-users-speak-english-we-do-not-need-to-localize\">in their language\u003C\u002Fa>. Localizing content into their native tongue is one of the ways to achieve this level of clear and compelling communication.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Finsights.csa-research.com\u002Freportaction\u002F36540\u002FMarketing\">74%\u003C\u002Fa> of customers say that they would be more likely to buy from a business for a second time if they received customer support in their native language. 📞 \u003Cstrong>Localized customer support and a generally personalized experience are achievable if you use a well-researched localization strategy and automation\u003C\u002Fstrong>. Automation not only keeps your workflow pipelines free, but it also makes your teams more productive.\u003C\u002Fp>\u003Cp>Here at Localazy, we make automation \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontinuous-localization-team\">easy to implement\u003C\u002Fa> with our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fautomations\">features\u003C\u002Fa>. Developers, managers, and translators alike can benefit from automation \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-automate-translations-when-working-with-evolving-content-to-save-time\">to speed up their work processes\u003C\u002Fa> while they focus on tasks that deserve their attention. Today, we’re talking about automation and productivity from the lens of localization. But first, let’s focus on the localization part.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%94%AE-the-growing-need-for-l10n-in-2025\">🔮 The growing need for l10n in 2025\u003C\u002Fh2>\u003Cp>Every business wanting to expand globally learns in the process that localization is a must. That’s why the need for it keeps increasing: the localization services provider market, which was estimated at \u003Cstrong>USD 49.6 billion in 2024\u003C\u002Fstrong>,\u003Ca href=\"https:\u002F\u002Fdatahorizzonresearch.com\u002Flocalization-services-provider-services-market-49956\"> is expected to rise to USD \u003C\u002Fa>\u003Cstrong>\u003Ca href=\"https:\u002F\u002Fdatahorizzonresearch.com\u002Flocalization-services-provider-services-market-49956\">96.3 billion by 2033\u003C\u002Fa>\u003C\u002Fstrong>, at a \u003Cstrong>CAGR of 7.6%\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fenter-new-markets-with-quality-localization\">When you consider expanding to new markets\u003C\u002Fa>, you should know that you’re about to approach people who share different cultures, backgrounds, and languages. Most importantly, you’re communicating with people who share different perspectives about what you consider the best products, best branding elements, and best marketing practices.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_665822360.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cp>With localization, you take into account every aspect of expanding into a new market, from cultural distinctions to customer habits and natives’ buying psychology. It means you’ll adapt everything, from your website and\u002For mobile app to software and multimedia content, so it resonates with local audiences.\u003C\u002Fp>\u003Cp>When you prioritize localization, you're on your way to crossing all language barriers and connecting with customers on a deeper level, nurturing these relationships and turning them into loyal customers. 🤝\u003C\u002Fp>\u003Cblockquote>When it's time to expand to new markets, keep in mind that you're communicating with people who share different perspectives about products, branding elements and best marketing practices\u003C\u002Fblockquote>\u003Cp>To win the hearts of customers, you need \u003Cstrong>a localization-first expansion approach\u003C\u002Fstrong>, and companies that devote time and resources to it are better poised to thrive. However, we must mention that localization is time-consuming, but \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Flocalization\u002Fwhat-is-localization-automation\">automating processes and tasks\u003C\u002Fa> can shorten it without depleting your team’s productivity.\u003C\u002Fp>\u003Cblockquote>\u003Cem>❔ Did you know Localazy allows you to set up Automations that translate and pass your translations from one stage to the other on autopilot. Read more on this \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fautomations\">here\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"%F0%9F%AA%84-how-automation-increases-productivity\">🪄 How automation increases productivity\u003C\u002Fh2>\u003Cp>Digital product teams are slowly learning to \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Flocalization-automation-language-product-service\">integrate automation into their processes\u003C\u002Fa> to be more efficient and productive. Your team can benefit from it too. Automation helps in various aspects of the localization process, \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fmulti-platform-localization-localazy-connected-projects\">minimizing time-consuming manual tasks\u003C\u002Fa> and freeing up time for strategic decision-making and creative work.\u003C\u002Fp>\u003Cp>With automation-powered tools, your teams can:\u003C\u002Fp>\u003Cul>\u003Cli>🧪 Extract and process content,\u003C\u002Fli>\u003Cli>🧳 translate and adapt it for different markets,\u003C\u002Fli>\u003Cli>👌 and keep consistency across multiple languages.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>In localization, automation can be applied in multiple stages of localization, including the content extraction phase and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fformat-conversions\">file conversions\u003C\u002Fa>. For example, tools powered by AI can scan and identify translatable text within digital products.🕵️\u003C\u002Fp>\u003Cp>\u003Cstrong>If done manually, localization takes a lot of work, which often delays launches in new markets\u003C\u002Fstrong>. Now, by combining machine translation, artificial intelligence (AI), and \u003Ca href=\"https:\u002F\u002Fwww.deeplearning.ai\u002Fresources\u002Fnatural-language-processing\u002F\">natural language processing (NLP)\u003C\u002Fa> technologies, localization teams can reach a satisfactory level of automation that helps them lower time-to-market for multilingual updates.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_668911928.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cblockquote>🤖 \u003Cem>Discover more about making content automation a true partner for your localization team in our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fautomation-should-work-with-your-team-not-against-it-bridging-the-gap-podcast-s02-ep10\">Bridging the Gap podcast episode with Paul Bratslavsky, Developer Advocate\u003C\u002Fa> at \u003Ca href=\"https:\u002F\u002Fstrapi.io\u002Fintegrations\u002FLocalazy\">Strapi\u003C\u002Fa>.\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"%F0%9F%92%A1-5-benefits-of-automation-tools-for-l10n-teams\">💡 5 benefits of automation tools for l10n teams\u003C\u002Fh2>\u003Cp>Automation tools are transforming localization by removing bottlenecks, improving output, and enabling scalability. Both \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Ftranslation-management-system-tms\">Translation Management Systems (TMSs)\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fcat-tool\">Computer-Aided Translation (CAT)\u003C\u002Fa> help automate tasks of the localization process to speed up launches to new markets. However, the most significant improvements in the localization process come from AI-enabled workflows that could involve using large language models (LLMs) to rewrite UI copy in context, or running automated quality checks with real-time model-in-the-loop scoring.\u003C\u002Fp>\u003Cp>Some systems can even adapt content tone or formality dynamically based on locale or user persona. Basically, the number of manual tasks can be reduced even further. Based on our experience driving localization wins for brands worldwide, here are five major benefits automation brings to the table:\u003C\u002Fp>\u003Ch3 id=\"1-reduces-localization-errors\">1. Reduces localization errors\u003C\u002Fh3>\u003Cp>Manual processes often lead to inconsistencies in structure, phrasing, or formatting that distort meaning at the local level. Automation minimizes these risks by enforcing standardized formatting, tone of voice, and using real-time validation tools to catch issues early.\u003C\u002Fp>\u003Cp>Advanced systems go further by using AI to spot tone mismatches, flag unlocalized terms, and ensure UI strings don't render incorrectly across layouts. Combined with automated \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flinguistic-quality-assurance\">Linguistic QA (LQA)\u003C\u002Fa> and context-aware checks, this drastically reduces rework and preserves the integrity of your messaging across markets.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📖 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Ftop-9-ux-translation-problems-and-how-to-solve-them\">Top 9 UX translation problems (and how to solve them)\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch3 id=\"2-sets-teams-for-maximum-productivity\">2. Sets teams for maximum productivity\u003C\u002Fh3>\u003Cp>Cloud-based TMS platforms like Localazy centralize translations in one location, supporting you throughout the process by enabling notifications, comments, and instant project updates. This keeps all team members and stakeholders connected. Also, with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fintegrations\">deep integrations\u003C\u002Fa> via CLI, API, and plugins (Figma, Strapi, Webflow, Zapier, and others), translations can be triggered as part of builds, content publication, or design updates.\u003C\u002Fp>\u003Cp>You can \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fautomated-workflows-series-translate-content-immediately-after-uploading-with-mt\">add intelligent Automations\u003C\u002Fa> that detect new strings, fire off pre-translations, and forward them to translators for review. Meanwhile, defined roles and automated notifications keep translators, reviewers, developers, and managers synced without meetings or chaos.\u003C\u002Fp>\u003Cp>The result? \u003Cstrong>Your team can collaborate on meaningful, creative localization tasks without worrying about technical, tool-switching, and administrative chores\u003C\u002Fstrong> while avoiding disorganization and chaos. You’re able to browse through translations, version changes, and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fguide-localazy-translation-services\">order translations fast\u003C\u002Fa>.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_698259266.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch3 id=\"3-achieves-higher-quality-accuracy-and-consistency\">3. Achieves higher quality, accuracy, and consistency\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Flocalization\u002Fwhat-is-cat-in-localization\">CAT tools\u003C\u002Fa> play an important role in automating localization thanks to their translation memory, terminology management, glossaries, and style guides. They make it easier to keep consistent terminology, higher accuracy, and better translation quality. ✅\u003C\u002Fp>\u003Cp>Translators can then focus on creative localization tasks instead of repetitive ones, using \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontext-screenshots-ocr\">context-based tools\u003C\u002Fa> to uphold branding and stylistic consistency globally. The outcome? \u003Cstrong>Accurate, culturally-adapted translations that make brands appear local\u003C\u002Fstrong>. At the end of the day, successful and effective localization relies on details, such as using local language nuances, and automation makes time for it.\u003C\u002Fp>\u003Ch3 id=\"4-frees-up-time-and-distributes-resources-better\">4. Frees up time and distributes resources better\u003C\u002Fh3>\u003Cp>Automation in localization takes care of inefficient time-consuming tasks - from initial translation drafts to manual reviews. This leaves time and other resources to be distributed to impactful work. Especially when it comes to workflow management. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Frelease-update-localazy-ai-automated-workflows-and-more#automated-workflows-ai-filters-beta\">Automations\u003C\u002Fa> get rid of the need for manual task distribution, prevent delays, and save manhours.\u003C\u002Fp>\u003Cp>As a result, there will be more budget you can spend on professional translators, proofreaders, and developing your brand. 💸 You can go from on a budget to resourceful, and save money for other aspects of your brand development so you can grow rapidly. All this is possible when you use the right tech with a high level of automation.\u003C\u002Fp>\u003Cblockquote>Automations and context tools like glossaries, translation memories and style guides are a powerful combination that increase accuracy, reduce errors and allow team members to focus on creative localization tasks while ditching time-consuming repetitive chores\u003C\u002Fblockquote>\u003Ch3 id=\"5-makes-scaling-to-new-markets-easier\">5. Makes scaling to new markets easier\u003C\u002Fh3>\u003Cp>When we talk about localization, we’re talking about a tool that will help you get your brand loved by foreign markets. 🌐 We’re talking about \u003Cstrong>powering your scaling efforts from day one\u003C\u002Fstrong> so that you can add new languages to your products\u002Fservices and enter new markets without much fuss as you grow.\u003C\u002Fp>\u003Cp>Scaling used to mean duplicated effort each time you added a new language to your product: copying strings, re-exporting files, rebriefing translators. Now, with automations, adding a new language becomes a configuration task, not a rewrite.\u003C\u002Fp>\u003Cp>The beauty of automated localization workflows lies in effortless scalability. 📈 Need to expand your Spanish launch into Portuguese? Update site navigation labels from English straight into right-to-left Arabic? Chances are, any changes and additions take just clicks rather than resource-draining manual work after you’ve set an automated localization workflow.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002Fpexels-vojtech-okenka-392018.jpg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%94%8E-how-can-automation-improve-accuracy\">🔎 How can automation improve accuracy?\u003C\u002Fh2>\u003Cp>Accurate and consistent translations are vital for businesses that want to succeed in international markets. To achieve this, localization teams can turn to automation to improve translation accuracy and keep a consistent language across assets.\u003C\u002Fp>\u003Cp>Here’s when TMSs come into play. They are equipped with:\u003C\u002Fp>\u003Cp>- Error-flagging features 🚨\u003C\u002Fp>\u003Cp>- Context-providing features 📖\u003C\u002Fp>\u003Cp>- Intelligent suggestive algorithms 🦾\u003C\u002Fp>\u003Cp>- Backlogs to keep track of all translated versions 🗂️\u003C\u002Fp>\u003Cp>They make precise and error-free translations much easier to get. Automation-powered tools can efficiently handle repetitive and time-consuming tasks, making daily schedules more fun and productive. As a result, businesses can achieve faster time-to-market and respond to updates and feedback quickly.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_567862901.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch3 id=\"the-power-of-ai-driven-translation-tech\">The power of AI-driven translation tech\u003C\u002Fh3>\u003Cp>AI-driven translation tech is evolving fast. See, after advanced \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\">Neural Machine Translation (NMT)\u003C\u002Fa> reached a professional level of development, serving as a time-saving partner for translators, the industry received new tools like LLMs, which can now assist translators in maintaining both quality and volume in their work.\u003C\u002Fp>\u003Cp>LLMs can be fine-tuned on brand tone, glossary, and linguistic features you want to focus on while expanding to new markets. You can also benefit from AI-driven variant generations (e.g., formal\u002Finformal tone, UK\u002FUS English,) among other things. Here are some obvious benefits it presents:\u003C\u002Fp>\u003Cp>🚄 \u003Cstrong>Fast translations\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Ingesting large amounts of text trains advanced neural networks to map ideas between languages intuitively. Now AI translates in minutes what takes people hours. Increased processing speed means faster translations and major time and budget savings. While the produced translations might not have a satisfactory quality for you, the faster they’re produced, the faster your team can review and finish them.\u003C\u002Fp>\u003Cp>📝 \u003Cstrong>Better and more accurate first drafts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>AI models can deeply absorb the use of grammatical rules in target languages and produce first drafts of a higher quality. It’s worth noting that AI’s first drafts can be less awkward compared to human drafts. Not to mention that AI has no \u003Ca href=\"https:\u002F\u002Fblog.ollang.com\u002Fen\u002Fblog\u002Fblog-details\u002Fhow-to-defeat-translator%E2%80%99s-block-3-tricks-that-work\">translator’s block\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>🔠 \u003Cstrong>Terminology consistency\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Diligently referencing context and glossaries during drafting, AI consistently respects company terminology and brand voice. Furthermore, the tech can now easily integrate with live terminology APIs or shared termbases. 🗣️ This ensures uniform global messaging aligned with guidelines and avoids outdated or brand-inconsistent translations.\u003C\u002Fp>\u003Cp>But aren't \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-automate-translations-when-working-with-evolving-content-to-save-time\">automated translations\u003C\u002Fa> low quality? Not if you keep the right balance. Much like autonomous vehicles still need human attention, AI translation excels with a person who keeps their hands on the wheel from time to time. And most importantly, it can learn from its errors. For instance, a workflow that uses AI can look like this: MT or LLM first drafts → linguists review → AI learns from edits.\u003C\u002Fp>\u003Cblockquote>Company terminology and brand voice are kept consistent by AI. If we feed it with translators' insights, its output can be useful as an initial draft to be later polished by a human\u003C\u002Fblockquote>\u003Cp>AI produces better initial drafts when fed with insights from the translators. Otherwise, it’ll lead to generic and incorrect translations. When used correctly, it learns how we translate ideas between languages, and then it produces better translations.\u003C\u002Fp>\u003Cp>Together, this augmented translation approach achieves accuracy and articulation that traditional methods can’t easily reach. \u003Cstrong>Blending the translator's passion with the processing power of AI creates excellent localized assets\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_610060920-1.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%A4%96-risks-of-automation-ai-in-localization\">🤖 Risks of automation & AI in localization\u003C\u002Fh2>\u003Cp>Even with all the progress in AI, translators and localization teams are still needed. But using this tech comes with some risks as well. While these tools can assist human translators, they can't fully replace their judgment, cultural awareness, or domain expertise. Here are three of the biggest risks to keep in mind:\u003C\u002Fp>\u003Ch3 id=\"1-quality-issues\">1. Quality issues\u003C\u002Fh3>\u003Cp>AI-generated translations often need \u003Cstrong>extensive human review (especially for legal, medical, technical, or UX-critical content\u003C\u002Fstrong>). Even with large training datasets, AI still struggles with nuance, tone, and proper formatting in \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flow-resource-languages\">low-resource languages\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fbridging-the-gap-podcast-s02-ep05-building-for-rtl-languages\">right-to-left (RTL) scripts\u003C\u002Fa>. Overreliance without QA can lead to inaccuracies that damage trust or create compliance issues.\u003C\u002Fp>\u003Ch3 id=\"2-biased-translations\">2. Biased translations\u003C\u002Fh3>\u003Cp>Algorithms lack a human perspective. 🤖  AI learns from the data it’s trained on. That means it can reflect and amplify cultural biases, political inaccuracies, or outdated assumptions. Unlike professional translators who are briefed on the target audience and context, AI lacks the ability to judge what's appropriate or offensive. This is especially risky when translating content for sensitive or regulated industries.\u003C\u002Fp>\u003Ch3 id=\"3-hallucinations-and-misinterpretations\">3. Hallucinations and misinterpretations\u003C\u002Fh3>\u003Cp>AI can generate confident-sounding translations that are factually incorrect, known as “hallucinations.” These errors are not only awkward, but they can also mislead users or violate accuracy standards too. Without proper human review or automated QA layers, these risks can easily slip into production.\u003C\u002Fp>\u003Cp>But while these are considerable challenges that arise with the use of AI and automation in localization, there is another pressing one that can be more alarming than a bad translation: data security. 🔐\u003C\u002Fp>\u003Ch3 id=\"4-data-privacy-and-security-risks\">4. Data privacy and security risks\u003C\u002Fh3>\u003Cp>When using cloud-based AI tools, content is often processed on external servers. If you're sending confidential legal docs or unpublished UI copy through these pipelines, you’re potentially exposing sensitive information. In regulated markets, that can mean violations of GDPR, HIPAA, or the \u003Ca href=\"https:\u002F\u002Fwww.europarl.europa.eu\u002Ftopics\u002Fen\u002Farticle\u002F20230601STO93804\u002Feu-ai-act-first-regulation-on-artificial-intelligence\">EU AI Act\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>Remember that when using AI, you’re uploading your sensitive data to Big Tech’s clouds. You could be passing highly sensitive information to be translated, and in the case of data breaches and unauthorized access, \u003Cstrong>that information could end up in the wrong hands and compromise your or your clients' reputation\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📚 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fsafeguarding-the-privacy-of-your-ai-translated-project-what-you-need-to-know-gpt-series-2\">Safeguarding the privacy of your AI-translated project: What you need to know\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cp>Digital product teams should adopt strong security measures and encryption protocols to \u003Ca href=\"https:\u002F\u002Fslator.com\u002Finnovating-at-the-speed-of-ai\u002F\">protect user data and intellectual property\u003C\u002Fa>. Compliance with privacy regulations and data protection laws in different markets is imperative to avoid legal repercussions. Furthermore, some other measures might include:\u003C\u002Fp>\u003Cul>\u003Cli>🗃️ Secure file transfer protocols to protect shared data\u003C\u002Fli>\u003Cli>🔓 Use multi-factor authentication and encrypt data at rest and in transit\u003C\u002Fli>\u003Cli>👷‍♀️ Conduct regular security audits to identify and fix vulnerabilities\u003C\u002Fli>\u003Cli>🖥️ Use on-prem or private translation engines for high-sensitivity content\u003C\u002Fli>\u003Cli>🕵️ Apply redaction filters to mask private or regulated information before processing\u003C\u002Fli>\u003Cli>✅ Vet vendors for SOC 2, ISO 27001, or AI Act compliance\u003C\u002Fli>\u003C\u002Ful>\u003Cp>While risks will always be present, by taking some of these measures, localization teams can have some level of protection when using automation and AI to improve translation quality and productivity in the localization process.\u003C\u002Fp>\u003Cblockquote>\u003Cem>🎙️ Curious about ISO 27001 and data security?\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fs01-ep-02-bridging-the-gap-podcast\"> Listen to our podcast episode with cybersecurity expert Ferry Haris and Localazy CEO Václav Hodek\u003C\u002Fa> to learn how certification protects your business\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002Fpexels-google-deepmind-18069694.jpg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%91%80-the-future-of-automation-in-l10n\">👀 The future of automation in l10n\u003C\u002Fh2>\u003Cp>AI empowers remarkable text translations today. However, studying cross-disciplinary leaps in voice recognition, computer vision, and generative AI, among others, hints at a future with localization solutions of a science-fiction level. Imagine:\u003C\u002Fp>\u003Cul>\u003Cli>📸 Images that instantly display localized text overlays, visible only to users in specific regions.\u003C\u002Fli>\u003Cli>💬 AI-generated content that adapts tone, language, and phrasing based on cultural or demographic signals.\u003C\u002Fli>\u003Cli>🗺️ Websites that automatically rearrange layout, directionality, and content structure based on the user’s locale.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>And that just covers consumer translations. On the workflow side, we could have translation models retrain themselves based on how your brand language evolves. Monitoring systems will catch textual inconsistencies across markets in real time, flagging off-brand or outdated phrases before they go live.\u003C\u002Fp>\u003Cp>As these systems get smarter, localization will shift from a manual process to a responsive, intelligent layer of global product delivery. The line between human-crafted and machine-generated localization will get harder to see. Eventually, even experts may struggle to distinguish machine versus human-generated localization.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📚 \u003Cstrong>Recommended read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Ftranslation-technology-exploring-the-pros-and-cons-of-ai-translation\">Translation technology: Exploring the pros and cons of AI translation\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch3 id=\"%F0%9F%9B%A0%EF%B8%8F-how-to-prepare-your-team-for-automation-adoption\">🛠️ How to prepare your team for automation adoption\u003C\u002Fh3>\u003Cp>The speed of adaptation says a lot about your business growth. And this is no different when it comes to automation and AI. \u003Cstrong>You need to adapt your team slowly\u003C\u002Fstrong> so that when change becomes mandatory, you don’t instantly shift to new tech within a day. Here are some things you can do to speed up this process.\u003C\u002Fp>\u003Cp>😰 \u003Cstrong>Address their fears\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Be honest about how AI helps do repetitive work, so they can pursue more creative, valuable tasks. Calm fears that jobs are at risk. Make it clear that everyone stays crucial.\u003C\u002Fp>\u003Cp>👂 \u003Cstrong>Involve them early on\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Ask which manual tasks slow them down. Let them test automation tools that solve their real pain points. Early involvement builds ownership and reduces resistance.\u003C\u002Fp>\u003Cp>\u003Cstrong>✍️ Run hands-on training\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Don’t just announce new tools, but teach them and mentor your team on using them. Walk through real workflows using automation so the team feels confident, not confused.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2024\u002F01\u002FAdobeStock_689399289.jpeg\" class=\"kg-image\" alt loading=\"lazy\">\u003C\u002Ffigure>\u003Cp>🫵 \u003Cstrong>Share real-life examples\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Show examples of successful automation applications. Whether stats show quicker translations or reviews, before-and-after data convinces. Momentum removes uncertainty over positive impact.\u003C\u002Fp>\u003Cblockquote>\u003Cem>📌 \u003Cstrong>Related read:\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Finside-genspark-real-test-in-cross-channel-localization-with-ai-agents\">Inside Genspark: A real test in cross-channel localization with AI agents\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fblockquote>\u003Cp>🏅 \u003Cstrong>Recognize their efforts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>From trying updated processes to mastering new systems, reward cooperation openly. Reinforce willingness to evolve together towards efficiency. Appreciation fuels team spirit and triumphs over reluctance.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%93%8C-final-thoughts\">📌 Final thoughts\u003C\u002Fh2>\u003Cp>As AI, automation, and smarter content systems evolve, localization is becoming faster, more accurate, and deeply integrated into how global products are built and scaled. For teams aiming to reach new markets without slowing down, automation is the foundation for excellent work.\u003C\u002Fp>\u003Cp>At Localazy, we help you localize without the typical chaos. Our powerful TMS is completely web-based and has been used by large brands worldwide to expand into global markets. Coupled with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-use-localazy-cli-to-streamline-your-localization-workflow\">our CLI\u003C\u002Fa> and the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fthe-ultimate-guide-to-localazy-api\">Localazy API\u003C\u002Fa>, speed and simplicity are guaranteed in all your l10n workflows while your content remains up-to-date. \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fregister\">Sign up\u003C\u002Fa> today and test it yourself for free.\u003C\u002Fp>","public","none","2023-11-29T12:31:30.000+01:00",[1985,1988,1991,1996,2001,2006,2011,2016,2021,2026,2031,2037,2042],{"id":1986,"name":1865,"slug":1866,"description":1865,"feature_image":10,"visibility":1981,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"codeinjection_head":10,"codeinjection_foot":10,"canonical_url":10,"accent_color":10,"url":1987},"60a37fc7cf7b6a0001d1f101","https:\u002F\u002Fghost.localazy.com\u002Ftag\u002Fautomated-localization\u002F",{"id":1989,"name":1830,"slug":1831,"description":10,"feature_image":10,"visibility":1981,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"codeinjection_head":10,"codeinjection_foot":10,"canonical_url":10,"accent_color":10,"url":1990},"64ca4e64047091000193df72","https:\u002F\u002Fghost.localazy.com\u002Ftag\u002Fai\u002F",{"id":1992,"name":1993,"slug":1994,"description":1875,"feature_image":10,"visibility":1981,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"codeinjection_head":10,"codeinjection_foot":10,"canonical_url":10,"accent_color":10,"url":1995},"60a37fc7cf7b6a0001d1f157","[DICT] 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