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If data.world were a city, we’d be a bustling metropolis larger than Austin, TX. Today, we’re excited to share that...
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Photo: “ Linderman Library, Lehigh University ” by NDXP is licensed under CC BY 2.0
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Context engines are the new paradigm emerging that promise to revolutionize how we approach data governance. As data professionals, we're...
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One of the critical aspects of building an effective ontology for the AI Context Engine™ is starting with just a...
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This is Part Two of a four-part series about Agile Data Governance. In Part One, we covered lessons learned from...
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Built on open and extensible standards, data.world is designed to serve as a front office for data and analytics ,...
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Once you’ve developed your problem statement and have assessed potential stakeholders who can come alongside and support, the next step...
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The AI revolution isn't coming — it's here. Organizations are implementing AI across departments, from customer service chatbots to predictive...
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Certain Artificial Intelligence (AI) systems are termed "black boxes" because of their opaque decision-making processes. Often, even experts can't fully...
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