Advancing data architecture for generative AI - SiliconANGLEGenerative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in ...

In development and validation, our focus shifts to the solution and how to bring it to life, starting with creation and ...

As long as big data and cloud computing have been in play, data engineering has often faced the challenge of lock-in with costly, complex legacy systems.

By focusing on efficiency without falling into the pitfalls of experimentation, enterprises can innovate boldly while ...

In today's world, Narendra Reddy Mudiyala explores the frontier of enterprise-scale data evolution, presenting a compelling argument for the decentralized Data ...

Supercloud forecast: the new data architecture requirements - SiliconANGLELast year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a ...

Dr. Prakriteswar Santikary, chief data officer at ERT, spoke at Data Architecture Summit 2018 Conference last month about data lake architecture his team developed at their clinical research ...

To meet the needs of the digital economy of the 2020s, data architecture has evolved into a dif­ferent animal than it was 10, or even 5, years ago. Most notably, there are three trends that have ...

Data architecture and cyber security strategy cannot operate in isolation – neither one is effective if it is applied after the other.

The emerging data mesh architecture has the potential to keep AI and analytics projects moving forward even as data storage and processing continues to disperse far and wide. One independent backer of ...