Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

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 ...

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 ...

If you look at the last decade of AI progress, most of it has been measured in a single dimension: bigger models and better benchmarks. That approach worked for a while, but we’re now running into the ...

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...