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Articles

How to make your data AI-ready and why it matters?

Article summary: Most enterprises are building AI on data that was never prepared for it, and it’s the single biggest reason AI projects stall before reaching production. This article covers what AI-ready data means, how to build the strategy and architecture to get there, what...

Articles

How to work with AI: From prompting to prompt thinking 

AI is only as good as the instructions you give it. The tool is almost beside the point, your thinking matters more.  Today, almost every company has already deployed AI tools across their teams. Costs are lower than expected, and productivity numbers look decent on paper. But the outputs are generic....

Articles

AI is more material than it looks: 5 ways to reduce inference cost and risk

The AI ecosystem is maturing, making operational costs more visible, particularly the energy consumption of inference and the increased security risks in agentic architectures. Now they’re embedded in supply chains, risk models, and healthcare, and nobody’s treating them as optional.  As they scale, technical...