“Mature AI security isolates potentially malicious inputs from trusted contexts,” he told the conference. Developers and CSOs ...

The easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

Discover how MPP Insights, founded by Sergei Shestakov, delivers AI-ready business intelligence systems with unmatched high ...

As they do so, they should consider the following five design principles for their future-state technology architecture. 1. Create an API ecosystem that integrates microservices.

In this digital era, Gururaj Thite, a specialist in AI-driven systems and data infrastructure, unpacks the rapid advancements ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of ...

As businesses rely more on digital tools, data sovereignty matters more than ever to keep your business resilient and ...

Being a data-driven organization implies embedding data science teams to fully engage with the business and adapting the operational backbone of the company (techniques, processes, infrastructures ...

Next Generation Command and Control (NGC2) is the Army’s new approach to develop a data-centric architecture for the commander to make more, faster, and better decisions, and ultimately reduce ...

This book provides insights into the principles behind the design of academic and commercial secure processor architectures. Secure processor architecture research is concerned with exploring and ...