AI delivery requires a well-structured approach akin to baking a cake, where each ingredient represents a crucial element such as CI/CD pipelines, observability, and governance. Real-world case studies illustrate the consequences of neglecting these components, emphasizing the importance of discipline and integration in developing reliable AI systems.

The article discusses the importance of environmental, social, and governance (ESG) technical validation for companies seeking to enhance their sustainability credentials. It highlights the processes and frameworks that organizations can adopt to ensure their ESG claims are credible and transparent, ultimately benefiting stakeholders and the broader community.