A state-of-the-art localization infrastructure that supports all content types, integrations, and workflows is equally important. It’s been proven that humans are unable to manage the volumes of content that require translation in today’s world. The ability to feed content from product, sales, marketing, and support teams through connectors and integrations into automated workflows helps globalization teams scale as translation volumes continue to grow.
Learn from others
Take a curious and proactive approach to AI. Talk to others about what they are doing and how they are implementing AI into their world. Conferences, peer discussions, and networking are all good opportunities to compare notes and learn.
Remember that opportunities to combine AI-driven solutions to provide the best customer experience might not need to be driven by you. Initiating discussions with other groups and departments can open the door to greater collaboration that can benefit your entire organization.
Check with stakeholders across your company to learn what AI-focused efforts they are interested in or currently have in progress. Create or join a forum for AI use cases to further explore the application of AI for globalization. Bringing in an AI-powered tool might present a chance to integrate with translation solutions or other applications you likely already have in-house.
To get started, talk to your language suppliers and technology vendors. Explore the AI-driven solutions they are developing and evaluate if a new approach to a workflow or quality assurance using AI could be an option for you.
Explore new directions
What can AI do for you? Determining that may prevent you from going the way of the dinosaurs.
Unlike machine translation (MT), AI has given us a wide range of use cases beyond just translation. AI offers unlimited opportunities for content creation and publishing. AI can also be used to review translated content and perform functional and linguistic testing. In these cases, technology can identify and fix errors, mistranslations, and bugs, leading to a better customer experience for each language. And we know that happy customers lead to higher sales, repeat business, and better buzz for your brand in local markets.
The “standard process” of localization has many elements and is typically not standard at all. AI automation can create workflows for different content types, languages, and quality levels, and it can introduce levels of process customization that were unthinkable only a few years ago. Long gone are the days in which project managers manually send or process files for localization. AI now offers an opportunity to further automate repetitive and routine tasks, freeing up time to focus on things that require a human touch and add value to each market.
Evaluate your own systems and technology for gaps that AI could fill. Is your current MT solution offering a combination of high quality, fast go-to-market, and positive customer experience? Would an AI-driven solution be a better fit? The first step is identifying places to weave AI into your existing processes and continuously refine and build automation.