AI Scaling: Strategy Over Speed

AI Scaling Strategy HBR

“AI is not a magic wand; it’s a team sport,” says an expert in scaling artificial intelligence across organizations. The question isn’t whether AI can help businesses—it’s whether your organization is ready to help AI succeed.

Scaling AI is no longer just about having fancy algorithms or a cutting-edge tech team. This insightful article from Harvard Business Review emphasizes the importance of culture, leadership, and alignment. AI can’t thrive in silos—it requires cross-functional collaboration, a clear strategy, and, yes, a dash of patience.

The journey starts with choosing the right problems to solve. Spoiler: If it’s just about cutting costs, think again. AI performs best when it’s driving growth, enhancing customer experiences, or creating new value streams. Your goal should be to start small, scale smart, and let results speak louder than PowerPoint presentations.

Want to skip the trial-and-error route? Establish a framework that balances experimentation with structure. And remember, data is the fuel, but clean and relevant data is the high-octane version. The more thoughtful your approach, the faster and more efficiently you can scale.

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