Published: 02 January 2024
AI is changing traditional workplace operating models by democratizing access to technology, generating insights and changing the relationship between people and technology. To manage AI-driven change, application and software engineering leaders must measure AI’s impact on systems and people.
AI changes the relationship between humans and machines. This new relationship, in the context of the workplace, creates a myriad of potential use cases and possibilities for AI to augment human work.
There’s a misconception of what change entails and how change needs to evolve due to AI. Leaders may focus on only business metrics and/or technical metrics, while excluding people metrics, or vice versa. There is a need to weave technology/business/people metrics together — especially in the context of the new human and machine relationship created by AI.
Define your AI portfolio: Not all AI use cases are
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