Translation Confidential

Join co-hosts Peter Argondizzo and Patrick Daley for the second of two episodes on market research translation. They explain why a map of every route through your survey’s logic predicts testing time better than a word count, how pausing survey programming saves linguists from starting the testing over, and what goes wrong when a file doesn’t mark which text goes to which market.

Join co-hosts Peter Argondizzo and Patrick Daley for the first of two episodes on market research translation. They explain how translation memory lowers the cost of surveys that repeat in waves, why translation software finds survey changes more reliably than marking them by hand, and what goes wrong when client review happens after delivery.

Join co-hosts Peter Argondizzo and Patrick Daley as they break down the right and wrong ways to use AI in translation. They explain why AI works best as one step in a process that people lead, how clean glossaries and past translations improve AI's first draft, and why unchecked AI translations don't belong on high-stakes documents like special education plans.

Join co-hosts Peter Argondizzo and Patrick Daley as they explain why every translation is a bet, and why the only question that matters is what happens when the bet is wrong. They discuss what an automated quality score can and can't tell you, how the same number can be fine on a company picnic invitation and dangerous on dosage instructions, and where a human reviewer still belongs. They also cover why being able to prove you managed the risk matters more than the tools you used.

Join co-hosts Peter Argondizzo and Patrick Daley as they break down a recent Gartner study and what it means for the translation industry. The study found that 80% of large companies cut jobs for AI, yet those cuts did not improve financial returns. Peter and Patrick connect the Gartner findings to real risks for language service providers, including the brand damage that comes from replacing skilled linguists with AI, the questions buyers should ask their providers about AI use, and the difference between using AI to grow the business and using AI to reduce headcount.

Join co-hosts Peter Argondizzo and Patrick Daley as they push back on the LinkedIn “AI echo chamber” and explain why so many AI translation solutions miss the point. They share real examples of problem-first AI, including IEP translation for school districts, breakdown warning signs of tool-led thinking, and offer questions to ask any provider who leads with their tech stack instead of your business challenges.

Join co-hosts Peter Argondizzo and Patrick Daley as they unpack why claiming 100% translation accuracy is a red flag. Sparked by a real conversation, they explore the hidden risks of unchecked AI confidence, the importance of human oversight in regulated industries, and why leadership teams need to ask smarter questions about their AI translation workflows.

Join co-hosts Peter Argondizzo and Patrick Daley as they uncover the real costs of handling translation in-house. They explain why using internal staff creates delays, how hidden expenses add up, and the warning signs that it's time to work with a professional language service provider.

Join co-hosts Peter Argondizzo and Patrick Daley as they break down the essential considerations for AI translation. They explain why all AI engines are not created equal, the hidden costs of "free" tools, and why feedback loops and translation memory matter. They also discuss true ROI calculations and the risks of using untrained internal staff as reviewers.

Join co-hosts Peter Argondizzo and Patrick Daley as they close out 2025 with Argo Translation's latest acquisition, impressive podcast growth stats, and their favorite episodes of the year. They discuss industry shifts, the rise of language solutions integrators (LSIs), and why keeping the customer at the center matters more than ever.