The value of proprietary data lies in its ability to inform decision-making, but AI can replicate insights from that data without the original labor involved in gathering it.

The majority of data available today is private and proprietary, and leveraging this data will lead to significant improvements in AI models.

Fine-tuning Copilot with proprietary data will give companies a competitive edge over generic AI solutions. The sustainable advantage lies in obtaining new samples to apply reasoning models with your data, enabling reinforcement learning in real-world applications.

Data is the new user interface for AI, and having highly curated data is crucial for achieving great outcomes with AI agents.

Domain-specific agents with curated data will be more beneficial in enterprises than general-purpose AI models.

Not all data is created equal; it has different qualities and applications, which means a strategic approach is necessary to utilize it effectively.

Companies should focus on proprietary data and unique test cases to differentiate themselves in the AI market.

It's essential to understand that while the product is crucial, leveraging data effectively can provide significant business advantages.

The feedback data from applications can create a competitive advantage, but it may not be sufficient to prevent others from catching up in the long run.