Emerging tech like AI and IoT are no longer add-ons but core components, forcing architects to design holistic, integrated business ecosystems from the start.

This article outlines the most common failure points, the architectural patterns that work and what enterprises need to prioritize when building AI that meets standards.

OpenAI open sourced a new Customer Service Agent framework — learn more about its growing enterprise strategy ...

UiPath's platform now enables orchestration across agents, robots, and humans using Maestro, a new control interface designed for managing long-running, cross-departmental workflows. UiPath's ...

Patterns and approaches for Microservics and other modern software styles ...

Identifying and acting on ESG opportunities requires high-quality, complete and reliable data. Our suite of comprehensive sustainability datasets is available for scalable enterprise-wide use via ...

Generate more value from data across the enterprise with access to the most comprehensive real-time market data available. A consolidated feed from 35 million instruments provides sophisticated ...

Enterprise architecture (EA) allows companies to proactively assess and adjust policies and systems to achieve target business goals that monetize relevant business disruptions. The notion and ...