For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex ...

In the modern digital era, enterprises generate vast amounts of data, but traditional centralized architectures struggle to scale effectively. Data Mesh Architecture, as explored by Arun Vivek ...

In this data-driven world, advancing analytics through centralized cloud data solutions and legacy system transformations has become common among enterprises looking to enhance efficiency and ...

Navitas Partners with Great Wall Power for Next Generation 400V-DC Power Architecture for AI Data Centers GaNSense™ technology boosts 8x power for AI data centers, telecommunications ...

This paper proposes an adaptive, data-driven secondary control framework for real-time tuning of hierarchical controllers in both islanded and grid-connected modes. The approach employs a ...

Want another reason? Spilling data out of silos and consolidating it into a centralized database provides an irresistible honeypot for hackers, thieves, and enemy states. The federal government ...

Industries like manufacturing, supply chain management, and retail all suffer when data silos prevent them from identifying inefficiencies, forecasting disruptions, and responding to market shifts in ...

The rapid development of AI has imposed higher requirements for computing power on data centers. To accommodate more GPUs for computing, the architecture of 400V independent cabinets will become a ...