The article highlights the experiences of various CIOs who have invested in AI technologies, mentioning that while initial achievements were seen, many projects faced stagnation or failure due to a lack of proper contextual understanding within their organizations. Most enterprise AI systems process data effectively but operate in isolation, failing to grasp the organization’s operational realities. This disconnect can lead to poorly designed AI systems that do not meet user expectations or improve business processes.
To advance intelligent AI systems, the article proposes the importance of organizational context, which connects people, processes, systems, and policies organically. This context recognizes various factors, such as user attributes, equipment information, application usage patterns, and interdependencies across IT infrastructure. The proposed context-aware AI systems would provide personalized and intuitive support by integrating real-time data across platforms, enabling faster issue resolution and higher employee satisfaction. Ultimately, a deep trust in AI systems is necessary for wider adoption; the lack of understanding of the work context leads to diminished trust in these systems, which can hinder their effective implementation.
👉 Pročitaj original: CIO Magazine
