Tag: artificial-intelligence

The Evolution of Operating Models: From Projects to Platforms

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Enterprises have traditionally relied on project-based models, but modern business dynamics demand a shift to product and platform models for sustained value creation. While projects are essential for specific tasks, they often lead to loss of knowledge post-execution. Transitioning to products means continuous ownership and accountability, whereas platforms allow ecosystems to generate value. Leaders must consciously design these operating models to adapt to evolving challenges.

Revisiting First Principles for AI-Driven Product Management

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In an AI-driven era, revisiting the timeless foundations of product leadership is critical. First principles provide essential truths that guide effective decision-making amid rapid market changes. Product leaders must maximize mission impact and enable team success by fostering collaboration, using data-driven principles, and anchoring their strategies in enduring truths for sustainable outcomes.

Innovation Through Constraints: The DeepSeek Strategy

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In the world of technology, scarcity is often seen as a barrier. But for those who embrace it, scarcity can become a catalyst for creativity, efficiency, and breakthrough innovation. This is the story of DeepSeek, a Chinese AI startup that has not only overcome the constraints imposed by U.S. trade restrictions but has also emerged as a global leader in AI development. Their journey offers a masterclass in thriving under scarcity – a lesson that resonates far beyond the tech industry.