Rezime epizode
Most enterprise AI projects start as a technology problem. They end as a data and culture problem. Ankit Mathur, Partner Solutions Architect at AWS, joins the Cultural Intelligence Podcast with a perspective few people have: not from inside one enterprise, but from across an entire ecosystem of them. What he sees is illuminating, and occasionally surprising. What do the organizations getting AI right share? Two things: they're innovating faster than ever, and they're treating their data strategy with the same seriousness as their AI strategy. Wondering about the ones struggling? Many are still chasing the biggest frontier models on the market, even when that's rarely what the problem actually needs. Ankit breaks down what separates a deployment that works from one that fails and we’re all ears. Here’s one sentence we particularly liked: “Don’t forget to own the business yourself. Don’t hand it over to AI.”
Most enterprise AI projects start as a technology problem. They end as a data and culture problem. Ankit Mathur, Partner Solutions Architect at AWS, joins the Cultural Intelligence Podcast with a perspective few people have: not from inside one enterprise, but from across an entire ecosystem of them. What he sees is illuminating, and occasionally surprising. What do the organizations getting AI right share? Two things: they're innovating faster than ever, and they're treating their data strategy with the same seriousness as their AI strategy. Wondering about the ones struggling? Many are still chasing the biggest frontier models on the market, even when that's rarely what the problem actually needs. Ankit breaks down what separates a deployment that works from one that fails and we’re all ears. Here’s one sentence we particularly liked: “Don’t forget to own the business yourself. Don’t hand it over to AI.”
Epizode
Cultural Intelligence Series - What it takes to move enterprise AI from partnership to production
SlušanoMost enterprise AI projects start as a technology problem. They end as a data and culture problem. Ankit Mathur, Partner Solutions Architect at AWS, joins the Cultural Intelligence Podcast with a perspective few people have: not from inside one enterprise, but from across an entire ecosystem of them. What he sees is illuminating, and occasionally surprising. What do the organizations getting AI right share? Two things: they're innovating faster than ever, and they're treating their data strategy with the same seriousness as their AI strategy. Wondering about the ones struggling? Many are still chasing the biggest frontier models on the market, even when that's rarely what the problem actually needs. Ankit breaks down what separates a deployment that works from one that fails and we’re all ears. Here’s one sentence we particularly liked: “Don’t forget to own the business yourself. Don’t hand it over to AI.”
Human expertise at the core, AI in the loop: the future of software localization
SlušanoIn this Globally Speaking episode, RWS Principal Product Manager Luis Lopes sat down with Milen Epik, President of Epik Global Solutions, and Adam Asnes, CEO and founder of Lingoport, to explore what software localization looks like now that AI coding agents are part of everyday development. Key topics covered: * Why you can't just point an AI agent at your code and expect internationalization to work (spoiler: it's a good way to break things) * How context, from Figma designs to system prompts, shapes the quality of AI translation * Why cultural intelligence goes beyond words, and what it can teach us about changing business logic, not just text * The governance and guardrails needed when distributed teams all use AI on the same codebase * Why the future is "human expertise at the core, AI in the loop" Whether you manage localization, build software, or are just curious about what happens between the code and the screen, this episode will change how you think about shipping products in every language.…
Cultural Intelligence Series - The creative case for cultural intelligence in enterprise AI
SlušanoA direct translation can be accurate and still creatively dead. Stu Davison, Creative Director at RWS, joins the Cultural Intelligence Podcast to show us what happens to a big creative idea when it has to cross a border, and why the adapted version doesn't always have to be identical to the original. His distinction between translation and transcreation says it all: translation carries the word, transcreation carries the idea. Creative work lives in nuance, rhythm and cultural references. Get that wrong and your big idea doesn't just lose impact, but it can actively damage your brand. Stu also tackles two questions every creative is sitting with right now: what's the one thing AI will never do in the creative process? And what's the most expensive mistake a global brand can make with AI? Spoiler: it's signing off on a global campaign without a single person from the local market in the room…
Cultural Intelligence Series - The language specialist’s role is evolving, and enterprise AI depends on it
SlušanoFor years, the localization industry has told a story about speed, cost and quality. But as AI transforms how content is created and translated, that narrative and those metrics alone are no longer enough to define the value of language expertise. In our latest Cultural Intelligence Podcast episode, Maria Schnell, Chief Language Officer at RWS, explores why this moment is unlike any other in the history of language expertise. While many see AI as a replacement for translation, Maria argues that this view fundamentally misunderstands what language professionals actually do. Translation isn't the exchange of words. It's the transfer of meaning, intent, and context from one audience to another. The real value of language expertise lies in understanding culture, nuance, and human communication; capabilities that become even more important as AI becomes more powerful. This episode challenges the industry's long-standing narrative and asks a more fundamental question: what is the true value of language expertise…
Cultural Intelligence Series - When cultural risk becomes legal risk: IP, compliance and the limits of AI
SlušanoIn IP, getting the language wrong isn't a quality issue but a legal one. James Lacey, CEO of Protect at RWS, joins our latest Cultural Intelligence Podcast episode to talk about something that rarely makes it into conversations about IP strategy: context. Not just the legal context of a jurisdiction, but the full lifecycle context of a portfolio; where every decision, every filing, every ownership update is connected to what came before and what comes next. A Chief IP Counsel James met in Taiwan put it simply: IP is too often seen as a cost centre managing legal rights. The shift is towards treating it as a value centre managing strategic assets. That reframe changes everything, including how you think about where AI fits in. The human in the loop isn't a safety net. It's the whole architecture.