The award recognizes Sunnam’s pioneering 'Ghost Edge Node' model and data modernization strategies that have secured critical ...

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, ...

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

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 ...

EdgeAI integrates the Proof of Information Entropy (PoIE) mechanism within a four-layer modular architecture to support ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

From AI and machine learning, to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting an organization’s data-driven goals. Greater speed, flexibility, ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

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 ...