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Every second counts in modern IT. The rise of hybrid environments – with fragmented data, complicated recovery and increasingly high costs – isn’t making things faster or easier. While managing complexity across different infrastructures, ensuring consistent application performance, and maintaining strict compliance standards have all become table stakes, many IT and security leaders still struggle with limited visibility, making risk management difficult.

The robots we imagined in science fiction are no longer fiction. They’re optimizing power grids, managing transportation networks and supply chains, and transforming manufacturing floors. The question isn’t whether AI will reshape these and other industries. Rather, it’s how quickly organizations can bridge the gap between digital intelligence and physical reality to be among those leading the charge.

PostgreSQL is rapidly being adopted by enterprises large and small. Some estimates show as many as 60% are using it in some form or fashion. For anyone who isn’t on board yet, there are many reasons to consider it. To paraphrase their own site, PostgreSQL, is a powerful, open source object-relational database that uses and extends the SQL language, combined with features that safely store and scale the most complicated data workloads.

Data analytics boils down to a simple objective. To provide people – and increasingly AI agents – with the right information, in the right place, at the right time. That's it. It's easy to state. But historically difficult to achieve. The good news is the landscape is changing.