In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...
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In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...
#262 The Hard Facts About AI in Healthcare Interpreting with GLOBO CEO Dipak Patel
SlatorPod
39 minutes
4 months ago
#262 The Hard Facts About AI in Healthcare Interpreting with GLOBO CEO Dipak Patel
Dipak Patel, CEO of GLOBO, joins SlatorPod to talk about his journey into language services and the challenges and opportunities of integrating AI into healthcare communication. Dipak explains that his career began in consulting and private equity, but a personal experience with his mother’s healthcare highlighted the importance of interpretation services and led him to GLOBO. The CEO emphasizes that since 2020, GLOBO has doubled down on healthcare, embraced AI and large language models, and ...
SlatorPod
In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry. Esther opens the year-in-review by highlighting January’s twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used. March, April, and May saw major developments...