When semantically connected data matters most

Image by Pete Linforth from Pixabay Technological advances helpful in fixing some issues can typically set off unintended effects and

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Small Language Models: A Strategic Opportunity for the Masses

In the evolving panorama of enormous language fashions (LLMs), it’s more and more evident that their immense dimension and broad

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Defining transformation in the era of AI + FAIR data

Image by Gerd Altmann from Pixabay Every week, I watch rising tech markets evolve and attempt to ponder what the

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A generative AI reality check for enterprises

Takeaways from my July 2024 interview with cloud architect and writer David Linthicum David Linthicum Wall Street now agrees that

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ESG: The “Vital Signs” for Responsible and Ethical AI Outcomes

While Artificial Intelligence (AI) fashions can doubtlessly rework our private and skilled lives, they pose important challenges and dangers for

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How to make dumb AI networks smarter

Image by Eleanor Smith from Pixabay Networking technologists and social scientists alike know what the Meltcalfe’s Law is. It’s popularly

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The impact of data governance on data warehouse performance

Organizations rely closely on data warehouses and data lakes to retailer and handle huge data in as we speak’s data-driven

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Avoid GenAI Model Collapse and Death by Averages

The Harvard Business Review article “Has Generative AI Peaked?” raised a troubling concern regarding Generative AI (GenAI): “This brings us

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