GlobalEyes: Globalization Translation Localization https://datamundi.ai/ An informal, issue-driven, two-way communication addressing current translation and localization issues. GlobalEyes draws from real-life experiences, sharing the practices developed and lessons learned during the implementation of a wide variety of technical translation and software localization projects. Its purpose is to entertain and educate everyone that is involved in translation, localization, internationalization and globalization. It will help you reduce localization costs, increase localized product quality, and better plan and reach your technical translation milestones, schedules and goals. Mon, 28 Sep 2026 12:02:06 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.3 https://datamundi.ai/wp-content/uploads/2025/04/favicon.svg DATAmundi https://datamundi.ai/ 32 32 A Practical Guide to Physical AI Data Collection https://datamundi.ai/blog/a-practical-guide-to-physical-ai-data-collection/ Mon, 21 Sep 2026 10:57:42 +0000 https://datamundi.ai/?p=61024 Teams building physical AI do not simply need volumes of video data. They need custom data led with expert human intelligence that connects perception, language, culture, and action, in local environments that match the jobs their systems must perform.  The internet supplied training data for language and image models. Physical AI has no equivalent repository […]

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]]> A Day in the Life of an AI Contributor https://datamundi.ai/blog/a-day-in-the-life-of-an-ai-contributor/ Thu, 06 Aug 2026 11:52:53 +0000 https://datamundi.ai/?p=60887 As a human data solutions company, we help organizations build AI that is smarter, more reliable, and scalable, guided by humanity through multilingual data, evaluation, safety, and human oversight. DATAtalent: our network of 300k+ AI Contributors work tirelessly to ensure the data fueling AI frontier labs is of the highest quality, is culturally aware, and […]

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]]> Why Context-Rich and Egocentric Data is Becoming Essential https://datamundi.ai/blog/context-rich-ai-data-egocentric-data/ Fri, 31 Jul 2026 10:53:27 +0000 https://datamundi.ai/?p=60865 Physical AI, humanoid robots, autonomous systems, assistive AI, special computing – all need diverse, specialist data training that helps them understand the real-world from multiple perspectives. Researchers often distinguish between egocentric and exocentric vision data:  Egocentric data captures what a person or robot sees from a first-person perspective: hands manipulating objects, gaze, movement, task sequence and intent.   Exocentric data captures the wider scene: spatial layout, relationships […]

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]]> I Came to ACL to Learn About Models. I Left Thinking About Evaluation. https://datamundi.ai/blog/blog-acl-2026-ai-model-evaluation-explainability/ Mon, 27 Jul 2026 18:14:32 +0000 https://datamundi.ai/?p=60841 By Erik Vogt ACL 2026 made Explainability of NLP Models its special theme. Although I was expecting to learn about models, new architectures, and expanding capabilities, it was clear that explainability was higher on the ACL agenda. How we understand AI systems and decide whether their outputs deserve our trust.   The central question is no longer simply whether language models can perform a task. […]

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]]> Multi-Agent AI for Context-Aware Machine Translation https://datamundi.ai/blog/research-multi-agent-ai-context-aware-machine-translation/ Mon, 13 Jul 2026 19:55:17 +0000 https://datamundi.ai/?p=60786 Explore DATAmundi's EAMT 2026 research poster on AIDA Agents, a multi-agent AI architecture that improves machine translation quality without costly model fine-tuning.

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]]> AI’s Dirty Secret: It Mostly Speaks English | Forbes Technology Council Article https://datamundi.ai/blog/blog-ai-dirty-secret-mostly-speaks-english/ Thu, 18 Jun 2026 15:04:59 +0000 https://datamundi.ai/?p=60714 The latest Speech and Voice AI trends from ICASSP 2026, including context-rich data, multilingual ASR, emotional TTS, multi-speaker AI and human-centric training datasets.

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]]> New Frontiers in Speech and Voice AI | ICASSP 2026 Highlights https://datamundi.ai/blog/new-frontiers-in-speech-and-voice-ai-icassp-2026-highlights/ Fri, 15 May 2026 18:58:35 +0000 https://datamundi.ai/?p=60276 The latest Speech and Voice AI trends from ICASSP 2026, including context-rich data, multilingual ASR, emotional TTS, multi-speaker AI and human-centric training datasets.

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]]> Agentic AI Workflows for Data Training: Orchestrating Quality https://datamundi.ai/blog/agentic-ai-workflows-data-training/ Thu, 19 Feb 2026 13:01:31 +0000 https://datamundi.ai/?p=59694 From speech and audio to fully multimodal inputs, AI systems depend on data pipelines that can reason across signals, making agentic workflows critical to maintaining quality at scale. Co-authored by Louise Law and Emanuele Di Rosa, CTO at DATAmundi.  Frontier labs and AI model builders operate across complex data pipelines. Building next-gen models is not about bigger datasets but higher performing ones. It’s about coordinating many moving parts across data […]

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]]> Podcast Episode #1: https://datamundi.ai/blog/human-data-for-ai-the-road-ahead/ Tue, 06 Jan 2026 18:39:43 +0000 https://datamundi.ai/?p=59631 In this first episode of the DATAmundi Podcast, host Louise Law is joined by CEO Veronique Ozkaya to explore the various dynamics in the global data for AI data market. As compute power and AI investment surge, the conversation focuses on a key success factor: high quality human data.  Veronique highlights the key shifts shaping […]

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]]> Human Judgment Operations are Essential for Real-World AI https://datamundi.ai/blog/human-judgment-ops-is-crucial-for-real-world-ai/ Tue, 16 Dec 2025 19:54:33 +0000 https://datamundi.ai/?p=59579 Human experts remain essential for safe, accurate, and ethical AI. Learn why judgment operations, SMEs, and human oversight are critical across the AI data lifecycle.

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