In a short series of articles/posts (first one here) I’ve described a situation in which analytical insights have been slower to arrive than what is needed by business decision-makers. In the second ...

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Observability, security and digital twins are all operational domains that cannot be successful without leveraging data-first, GenAI-first and automation-first strategies. While AI-first and ...

Data fabrics have gained importance over the last year as more organizations seek to leverage their data and intellectual property in generative AI solutions. Data fabrics help address the challenges ...

Instituting data fabric architecture—defined by a smart, unified web of information that supports real-time access, governance, and agility—is becoming an increasingly popular choice for modernizing ...

It’s been said that AI is only as good as the data fueling it. And that’s true—to an extent. Having good data is important, but it is also useless if it’s inaccessible. This explains why building the ...

A Sonata Software report states that building AI-ready data platforms unifies disparate business systems. This reduces manual ...

“The emerging design concept called 'data fabric' can be a robust solution to ever-present data management challenges, such as the high-cost and low-value data integration cycles, frequent maintenance ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post written by Jacob Rank in his role as senior director of product management at ...