As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

Last year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a default enterprise standard and the eventual emergence of an eponymous supercloud ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based ...

An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data. Data analytics solutions are continuing to emerge ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...