#AI@Work: AI is About Continuous Improvement
Agile organizations aren’t centralized or decentralized. It is about architectures that solve the problems now. These may change in the future. It is not a one-way street. Business structures can and probably will have to change and change again. AI will be integrated into different activities leading to new processes and outcomes. AI will find its way into businesses to replace activities and improve outcomes. It’s very important that organizations evaluate what outcomes are important, and then ask how AI technologies can and will help to improve them, always monitoring and auditing the impact of AI on business outcomes.
AI is about continuous improvement not just in the technology itself but how it serves an organization. No industry is immune to the impact of AI now or in the future. AI will become more and more important to the operations of most organizations. An organization should have a goal in mind with AI integration and then monitor results. This will require more than just quantitative metrics. It is important to include qualitative value-oriented measures as well. Agile transformation requires engagement with those who are impacted by changes in the processes. The transformation to an Agile organization doesn’t come from the top down. It involves feedback and monitoring just like successful AI integration.
How businesses are valued and what it means to be successful is changing. Calculating worth was a very tangible and measurable progression. Then the world changed. The most valuable companies in the world don’t have large scale machines or wealth underground. Instead, they have people and code. These businesses have mostly invisible assets that are subject to change. From business objectives to continuous improvement, the Agile transformation infiltrated entire organizations. Based on more technologies coming our way very quickly, companies are being asked to rethink, restructure and reengineer everything.
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