Are your beautifully complex localization workflows keeping you awake at night? Do you feel like they’re controlling you more than you’re controlling them? Look no further! Worry no more! We have a cool, no-frills exercise to help you make them work for you. Ready to look at your workflows with fresh eyes? Let’s go!
Here’s the quick and dirty tip to simplifying and automating your localization process: look at your workflows using value-stream mapping (VSM). VSM is a lean technique that enables you to visualize all the steps involved in a process, leading you to identify the areas that need adjusting at a glance, to assess the true effort required for each area, and to come up with solutions to improve your workflow — stat.
Since ChatGPT’s launch in November 2022, media outlets have been churning out article after article about how generative artificial intelligence (AI) is coming for our jobs. Nearly every week, a new piece comes out in publications like The Atlantic or Business Insider about how ChatGPT will “destabilize” the job market, making certain workers redundant.
oday, machine translation (MT) is so pervasive that — for many young or early-career localization professionals, at least — it’s hard to imagine a time without it. But such a time did exist. Those with a decade or two of language industry experience under their belt have, no doubt, witnessed firsthand MT’s evolution into the nearly omnipresent entity that it is today.
Syncron helps manufacturers and distributors capitalize on the new service economy by optimizing aftermarket profitability, increasing customer loyalty, and enabling the transition to servitization. Syncron aligns all aftermarket services with its Connected Service Experience (CSX) cloud platform, helping companies differentiate themselves through exceptional aftermarket experiences while driving significant revenue growth.
As of November 2022, everybody in the language industry is talking about ChatGPT. It is an undeniable trend firmly occupying the minds of many. New implementation scenarios and use cases for ChatGPT emerge daily, and GPT-4 has just been released. But will it stay as hyped in the next five years, or will it become as normal as Machine Translation (MT) for us?