In this episode of the Globally Speaking Podcast on the future of human-machine collaboration, Emma Fisher, Vice President of Global Marketing at RWS, sits down with Melanie Peterson, Senior Program Director of Train AI at RWS, to discuss the essential role of the human touch in AI development. As AI technology continues to evolve, the need for ethical standards in data training becomes increasingly vital. Melanie underscores the necessity of subject matter experts in ensuring AI models are unbiased, accurate, ethical, and diverse. Discover the risks of relying solely on AI-generated data through some of her real-world examples, highlighting the dangers of AI going unchecked - when humans are excluded from the process. Listen to the episode for tips on how to develop and deploy AI with care - ensuring that it serves humanity effectively and responsibly. Discover more about Genuine Intelligence, the Future of Human-Machine Collaboration: https://www.rws.com/about/genuine-intelligence/

In this new episode of Globally Speaking, host Lenny Grinberg, VP of Sales at RWS, sits down with Christopher Auteberry, Director of Commercial Learning and Development for Americas at Hyatt Hotels, and Dave Romero, Co-founder and President of Unboxed Training & Technology. They recount their unexpected meeting at a Learning & Development event that sparked a powerful partnership, leading to a transformative collaboration where Unboxed and RWS supported Christopher in crafting and localizing a comprehensive learning and development strategy for Hyatt’s global workforce. Join them as they explore the essential role of building meaningful professional connections. You’ll be inspired by their journey and insights, and as a special bonus at the end of the episode, hear their contrasting views on AI in today’s fast-changing landscape. Tune in for insights and stories that highlight how true partnerships can drive success!

Are you ready to jump into the future of AI? In this new episode of our Globally Speaking podcast, join RWS's Çetin Amirak and AWS's Andrea Frio as they explore the exciting evolution of generative AI, from experimentation in 2023 to full-scale production in 2024. Discover how generative AI is transforming customer experiences, supercharging productivity, and sparking creativity - but don’t overlook the indispensable role of high-quality data in achieving success. Are you wondering how to tackle new challenges like AI “hallucinations”? Our hosts reveal innovative strategies, including prompt engineering and retrieval augmented generation (RAG), to ensure your AI projects thrive. And as an added bonus, get a sneak peek into emerging trends like “agentification” that are shaping the future of the AI landscape. Tune in for invaluable insights that will empower you to leverage generative AI for groundbreaking innovation.

How can AI enhance author productivity by automating repetitive tasks, allowing you to focus on the creative aspects of your work? How do you navigate the murky waters of AI-generated misinformation? And how can you foster an environment in which your clients can trust your content? The stakes are high for businesses looking to implement AI and large language models (LLMs) – almost half (47%) experience at least one AI project failure. In this new episode of the Globally Speaking Podcast dedicated to the theme of content confidence, Frank Closset, Head of R&D for Tridion at RWS, and Emma Fisher, VP of Global Marketing at RWS, discuss how Retrieval Augmented Generation (RAG) could be the key to cultivating customer trust. Discover more about [Tridion Docs](https://www.rws.com/content-management/tridion/tridion-docs-best-ccms/?utm_campaign=Tridion&utm_content=305052678&utm_medium=social&utm_source=linkedin&hss_channel=lcp-12582389) Learn more about the future of human-machine collaboration and our philosophy on the power of the two combined, which we call [Genuine Intelligence](https://www.rws.com/about/genuine-intelligence/).

This episode of Globally Speaking celebrates 40 years of innovation from Trados Studio. Paul Filkin, Senior Director of Customer Enablement at RWS, speaks to Anna Rita de Bonis, Software Accessibility Specialist and Trainer for the Visually Impaired at RWS, who explains how she has helped us challenge the translation industry by helping to make Trados Studio accessible to visually impaired language specialists. Hear about Anna Rita‘s experience as a blind user of Trados and other CAT tools in the second part of the episode. The latest version of the industry-leading CAT tool, Studio 2024, includes exciting new features that improve accessibility, democratize access to generative AI and increase management capabilities. Learn more about it here: [Trados](https://www.trados.com/)

This episode of Globally Speaking celebrates 40 years of innovation from Trados Studio. Paul Filkin, Senior Director of Customer Enablement at RWS, speaks to Anna Rita de Bonis, Software Accessibility Specialist and Trainer for the Visually Impaired at RWS, who explains how she has helped us challenge the translation industry by helping to make Trados Studio accessible to visually impaired language specialists. Hear about Anna Rita‘s experience as a blind user of Trados and other CAT tools in the first part of the episode. The latest version of the industry-leading CAT tool, Studio 2024, includes exciting new features that improve accessibility, democratize access to generative AI and increase management capabilities. Learn more about it here: [Trados](https://www.trados.com/)

In our latest episode of the Globally Speaking Podcast, join Francisco Gomez, CEO of Factum Global, as he sits down with Jordan Cockrell to share some insights into what’s on the minds of today’s CEOs. Find out why most leaders are optimistic about the role of AI, cyber security and digital transformation and learn why 84 % of them see geographic expansion as a way to diversify risk and look for the next opportunity. The future can be a little scary and managing the risks of integrating cutting-edge technology and entering new markets is crucial. But what’s the risk of NOT embracing these changes in a world where cross-border business is easier than ever? Learn more in this podcast! If you want to check the Factum Global survey Francisco is talking about, click here: https://factumglobal.com/business-sentiment-survey-q124/

Have you ever wondered how many colours the human eye can distinguish? Around 1 million! Yet, language only has about 12 basic colour terms to describe them. This leads us to the question: Can AI truly understand our world if it relies solely on linguistic training data? The reality is that language is an abstraction – an oversimplification of the world that doesn’t contain all the information humans have, such as visual or auditory information. So we cannot achieve true intelligence by training a model purely with language data. Listen to our latest Globally Speaking episode as Marina Pantcheva and Emma Fisher dive deep into the theme of ‘GENUINE INTELLIGENCE™’, and discover why we need to use AI as a tool that enhances human capabilities but does not replace them. Download your report on GENUINE INTELLIGENCE™, the future of human-machine collaboration: https://hubs.ly/Q02ChdfX0

Digital services (and digital access to information) are an increasingly important means of helping marginalized groups in emergencies. But, as you can imagine, there are many barriers preventing equal access to online information and apps. For instance, when international humanitarian organizations offer services in only international or official languages, many minority language speakers are excluded. Aimee Ansari, CEO, and Ellie Kemp, Head of Research, Evidence and Advocacy at CLEAR Global did us the honour of visiting our Globally Speaking studio to share with us the first results of a research project on language in digital inclusion. Listen to their fascinating insights – such as the intriguing phenomenon of certain minorities using fintech solutions, like mobile money, in languages they don't fully understand or can't read. They also explore how reliance on technology in a narrow range of languages can exacerbate the vulnerability of already marginalized populations.

“Companies are nowadays expected to seamlessly cater to client preferences and deliver relevant and personalized content on demand. Real-time and just-in-time localization is a key component of this hyper-personalized approach to communication”. Listen to Loïc Dufresne de Virel, 25-year industry veteran and head of localization at Intel, who couldn’t be more enthusiastic about recent AI developments and their impact on customer experience. Loïc explains, however, that the key to effectively capitalizing on this major transformation lies not only in the choice of AI but in the ability to integrate it into existing processes at multiple levels. Assigning a specific natural language processing task to an AI worker is relatively easy. The real challenge lies in the compatibility with other technologies, the ability to deploy AI capabilities at scale, and the requirement to support complex content formats - in parallel with the development of more flexible workflows based on AI-generated outcomes. Knowing how to strike the right balance between AI-enabled automation and the human touch, each complementing and augmenting the other, is undoubtedly the key to turning content localization into a significant driver of incremental revenue.

It's AI bingo at the moment! Everyone's talking about it - but did you know that the quality and quantity of training datasets are crucial to the accuracy and effectiveness of machine learning models? The more diverse and representative the data, the better the AI model can perform in terms of nuance. Did you ever wonder how to ensure that AI discerns what Americans would wear to a wedding? And what people would wear in Asia, Europe or Africa, taking into account the specificities of each country? In this enlightening AI dialogue episode of our Globally Speaking podcast, Melanie Peterson - Program Director for Train AI at RWS - joins Vasagi Kothandapani to discuss how she tackled one of her biggest AI challenges: a rating and labelling data project for western-style womenswear using resources in the APAC region only, where the raters were 80% male. Melanie unpacks the intricacies of her mission, shedding light on how she explains what she does to her family and friends, why a rocket scientist or a chef might have been involved in one of Train AI's latest data training projects, and what exactly we mean by data collection, data creation, data annotation and sentiment analysis. Get ready for a captivating exploration into the heart of AI.