This article is part of:Centre for the Fourth Industrial Revolution
- Operationalizing artificial intelligence (AI) isn’t without challenges, but unlike previous technologies, it has the ability to troubleshoot some of its own problems within its design.
- Effective AI implementation has to be with people at the centre of AI governance systems to alleviate the trust and confidence in AI for critical sectors.
- A new playbook of integrated information and operational technology will be needed to utilize AI and automation and take businesses to new bounds.
Artificial intelligence (AI) – despite important consequences on job re-organization and potential replacement of some positions – will lead to the emergence of a range of new roles, outlines the newly released Future of Growth Report 2024.
From an innovation growth point of view, it raises an increasingly important question: Where to find the talent needed in some of these fast-growing roles and avoid a scenario in which talent availability becomes a binding constraint for economic development and growth?
On the other hand, the exponential growth of the global AI market also highlights the need for establishing standards and frameworks that ensure responsible AI practices and procurement, especially for commercial enterprises.
How are businesses navigating these challenges while leveraging its potential? Here, four leaders share insights on how their companies are exploring the field.
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