Over the past two decades working with enterprise systems and large-scale digital transformation programs, I have observed a fundamental shift in how organizations operate their technology platforms.

A good software architecture ensures that an AI system does not depend on the performance of a specific model.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

An Air Force-directed classified study to assess the planned Advanced Battle Management System (ABMS) communications and systems integration architecture. The National Academies of Sciences, ...

The dominant failure mode of industrial predictive maintenance is not model inaccuracy. It is a broken handoff between detection and response. This paper describes an integration architecture that ...

Modern applications rely on multiple data sources: on-premise legacy applications, cloud applications, databases, modern cloud-based SaaS solutions, IoT devices and third-party APIs. The integration ...

Manufacturing systems are more connected than ever. Production, MES, ERP and business applications all rely on shared data. When that integration is thoughtfully designed, information flows and ...

Why AI projects stall after the pilot stage and what enterprises need to scale AI through governance and architecture. The ...

Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF. The U.S. Department of Defense (DoD) is pursuing an improved ability to more closely ...