In this moment, excerpted from the session “Transforming Your Data Estate into a Goldmine with MS Fabric,” Will Hawkins, Lead AI Engineer & Founder, RitewAI, discusses how decision-making has evolved with the introduction of AI, increasing the importance of representative data in models.
Key Takeaways
- Experience-based decision making: “We’re a product of every single experience we’ve ever had,” Hawkins states. People make decisions based on life experiences. It’s the same thing with businesses, which then transpires to the organizational level of AI agents and Copilots.
- Mimicking human behavior: These AI tools are all critical thinking machines that mimic human behavior. If the data to back that human behavior isn’t there, it will impact the output and function of these models, which is where many companies fail.
- Representative data: Organizations using AI models must have data that is representative of reality, or the current state of the market, to ensure the best outcomes.
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