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AI governance can make or break data monetization

As pressures mount for businesses to get the most value from their data, AI governance ensures the data to be monetized is secure, protected, trustworthy and used responsibly.

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Optimizing hybrid cloud architecture for AI workloads

Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?

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4 types of machine learning models explained

Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the factors that go into picking and training them for a specific task.

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Setting the stage for 2026: Continuing AI pragmatism

Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.

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