Project Management

AI Adoption Needs Change Leaders

Navneet Singh Saasan

Artificial intelligence (AI) promises to revolutionize numerous industries, from banking to customer service to data generation to, of course, project management. In fact, PwC reports that by 2030, growing AI technology will add $15.7 trillion to the global economy. That’s more than the combined outputs of China and India. Clearly, AI has announced itself as a critical technology for future business success and that means project management leaders need to get on board with this evolving technology or risk being left behind in an advancing marketplace.

So how can project management leaders embrace new technology like AI? Many are counting on agile-based change management to usher in AI technological shifts in a much faster, less stressful manner. Businesses can no longer spend years or even months debating and slowly implementing changes.

The agile approach frees organizations that are stuck and unable to transform, helping them to adapt quickly to an evolving marketplace.

Agile frameworks such as Scrum, Kanban, and Extreme Programming (XP) allow project management leaders to address change on a smaller, faster scale. Leaders can start small and not plan everything out at once. They expect evolution and change, so instead of committing their people and resources to one solution that may or may not work over the long run, they make minor changes, analyze their …


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"Let us be thankful for fools. But for them the rest of us could not succeed."

- Mark Twain

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