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

Integration is the third rail of corporate IT. The mere mention of the word raises terrifying thoughts of huge budgets, endless meetings and extremely complicated software. Integration projects can be ...

Connect AI to live enterprise data, workflows, and governance controls so every action is accurate, traceable, cost-aware, ...

Modern enterprises rely on enterprise data integration to operate. Within telecom and financial sectors, a huge amount of ...

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.

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 ...

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 ...

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 ...

Data integration is increasingly critical to companies’ ability to win, serve and retain their customers. Enterprises face increasing data integration challenges, primarily due to the growing volume ...

The design demands of today’s highly advanced system-on-chip (SoC) devices have long outgrown the capabilities of manual workflows to manage them effectively. As these chips become more complex, only ...