It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

Apple Intelligence uses models built to work on your device for privacy purposes. Can it still keep privacy in check when going to the cloud? Apple Intelligence uses models built to work on your ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

‘The one thing which I hear all the time from [customers] is the cost of recovery using Veeam is a meaningful differentiator. And so as you engage with your customers with Veeam, as we do that ...