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	<description>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.&#13;
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		<title>Agentic AI Workflows for Data Training: Orchestrating Quality</title>
		<link>https://datamundi.ai/blog/agentic-ai-workflows-data-training/</link>
		
		<dc:creator><![CDATA[Olivia Tuckwood]]></dc:creator>
		<pubDate>Thu, 19 Feb 2026 13:01:31 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<category><![CDATA[agentic ai]]></category>
		<category><![CDATA[AI Data Lifecycle]]></category>
		<category><![CDATA[AI Data Orchestration]]></category>
		<category><![CDATA[AI Data Training]]></category>
		<category><![CDATA[AI Workflow]]></category>
		<category><![CDATA[Human-in-the-Loop]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59694</guid>

					<description><![CDATA[<p>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 [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/agentic-ai-workflows-data-training/">Agentic AI Workflows for Data Training: Orchestrating Quality</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Podcast Episode #1:</title>
		<link>https://datamundi.ai/blog/human-data-for-ai-the-road-ahead/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Tue, 06 Jan 2026 18:39:43 +0000</pubDate>
				<category><![CDATA[Podcast]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59631</guid>

					<description><![CDATA[<p>In this first episode of the DATAmundi Podcast, host Louise Law is joined by co-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 the industry, from growing demand for data sourcing, augmentation, and evaluation to the rapid [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/human-data-for-ai-the-road-ahead/">Podcast Episode #1:</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Human Judgment Operations are Essential for Real-World AI</title>
		<link>https://datamundi.ai/blog/human-judgment-ops-is-crucial-for-real-world-ai/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 19:54:33 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59579</guid>

					<description><![CDATA[<p>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. </p>
<p>The post <a href="https://datamundi.ai/blog/human-judgment-ops-is-crucial-for-real-world-ai/">Human Judgment Operations are Essential for Real-World AI</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Infusing AI into your Product and Content Management Systems</title>
		<link>https://datamundi.ai/blog/infusing-ai-into-your-product-and-content-management-systems/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 16:29:54 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59391</guid>

					<description><![CDATA[<p>Discover how infusing AI in product and content management blends human and machine intelligence. Learn from real use cases in agentic AI and multilingual GenAI systems. </p>
<p>The post <a href="https://datamundi.ai/blog/infusing-ai-into-your-product-and-content-management-systems/">Infusing AI into your Product and Content Management Systems</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Using Human Judgment to Refine LLM Benchmarks</title>
		<link>https://datamundi.ai/blog/using-human-judgement-to-refine-llm-benchmarks/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Tue, 14 Oct 2025 15:53:12 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59248</guid>

					<description><![CDATA[<p>You know you want the best quality data for your LLMs, and to get that, you already know you need to benchmark your data from time to time. There are benchmarking tools, such as fixed test sets and metric-only scoring, but those run the risk of introducing data contamination, ecological invalidity, and even ‘gaming’ the [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/using-human-judgement-to-refine-llm-benchmarks/">Using Human Judgment to Refine LLM Benchmarks</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Small Language Models (SLMs) and Your Data Services Provider</title>
		<link>https://datamundi.ai/blog/small-language-models-slms-and-your-data-services-provider/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Thu, 02 Oct 2025 14:09:04 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59243</guid>

					<description><![CDATA[<p>You may have heard about Small Language Models (SLM) recently and wondered what those are and how they fit into the AI developments for business. You may also have considered whether that’s something for your organization as you progress along the GenAI or Agentic AI path. There are distinct differences between SLMs and LLMs, not [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/small-language-models-slms-and-your-data-services-provider/">Small Language Models (SLMs) and Your Data Services Provider</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Operationalizing Generative AI for Multilingual Content Value</title>
		<link>https://datamundi.ai/blog/operationalizing-generative-ai-for-multilingual-content-value/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 15:10:32 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59221</guid>

					<description><![CDATA[<p>If you missed our second webinar in the series on Generative AI for Multilingual Content with Bruno Herrmann, you’ll find a short recap below, along with a link to the recording. With Bruno’s deep background in the language and content industry, he is ideally suited to guide us through the subject of how to operationalize [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/operationalizing-generative-ai-for-multilingual-content-value/">Operationalizing Generative AI for Multilingual Content Value</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Multilingual Podcast Recap with DATAmundi CEO Veronique Ozkaya</title>
		<link>https://datamundi.ai/blog/multilingual-podcast-recap-with-datamundi-ceo-veronique-ozkaya/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Fri, 05 Sep 2025 21:20:20 +0000</pubDate>
				<category><![CDATA[All Posts]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59209</guid>

					<description><![CDATA[<p>Our co-CEO, Véronique Özkaya, was invited to the Localization Today Podcast, where she was able to explain the rebrand and talk about Turning Data into Direction. Let’s dive right in with Veronique. The Rebrand We still get questions about that. Some wonder if we’re a new company in the data space, and others wonder if [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/multilingual-podcast-recap-with-datamundi-ceo-veronique-ozkaya/">Multilingual Podcast Recap with DATAmundi CEO Veronique Ozkaya</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Quality Assurance Across Different Data Types:</title>
		<link>https://datamundi.ai/blog/quality-assurance-across-different-data-types/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Thu, 04 Sep 2025 16:52:46 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<category><![CDATA[FAQs]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59201</guid>

					<description><![CDATA[<p>When customers ask, “Is your QA process up to our standards?” — our answer is always the same: we build our QA process around your requirements. At DATAmundi, we partner with you to ensure the datasets we deliver meet your exact expectations and fuel your AI model with reliable, high-quality training data. Our goal is [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/quality-assurance-across-different-data-types/">Quality Assurance Across Different Data Types:</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Preparing Your Data for an LLM Engine:</title>
		<link>https://datamundi.ai/blog/preparing-your-data-for-an-llm-engine/</link>
		
		<dc:creator><![CDATA[Blufish Design]]></dc:creator>
		<pubDate>Thu, 04 Sep 2025 15:58:14 +0000</pubDate>
				<category><![CDATA[Data]]></category>
		<guid isPermaLink="false">https://datamundi.ai/?p=59194</guid>

					<description><![CDATA[<p>The secret to unlocking the true power of Generative AI lies not in the algorithm itself, but in the quality of the data behind it. Think of your LLM as a student, its knowledge, reasoning, and creativity are only as strong as the lessons it’s given. Feed it poorly prepared, irrelevant, or biased data, and [&#8230;]</p>
<p>The post <a href="https://datamundi.ai/blog/preparing-your-data-for-an-llm-engine/">Preparing Your Data for an LLM Engine:</a> appeared first on <a href="https://datamundi.ai">DATAmundi</a>.</p>
]]></description>
		
		
		
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