Context Engineering for AI-Readiness: Enterprise Data Architecture and LLMs

Today's enterprises must extend existing data architectures to support generative AI applications while maintaining accuracy and security standards. As organizations face challenges in connecting LLMs to enterprise data sources, the focus must shift to creating standardized integration patterns that support current analytics and future AI capabilities, including foundation model gateways and context engineering approaches. This architectural approach is not just a trend; it is a critical necessity for enabling data teams to work effectively with AI while ensuring consistency across the enterprise.