The article highlights the inefficiencies in modernizing enterprise applications, which often become more complex instead of simpler. The author advocates for a focus on creating applications that rely on intelligent, self-describing data rather than embedding intelligence deeply into code. This approach is said to enhance cooperation among AI agents by providing a common understanding of data and business rules.
By establishing a semantic layer, enterprises can improve the clarity and efficiency of their AI initiatives. This method allows for seamless communication between systems and agents, reducing the need for repetitive logic in application development. The author presents a vision of less complex applications that understand their data context, ultimately leading to better decision-making in areas like wealth management and compliance.
👉 Pročitaj original: CIO Magazine
