Overview
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Learn how to reframe AI development from a focus on algorithms and metrics to business impact and outcomes in this 23-minute conference talk. Discover evaluation systems that measure not just accuracy but real-world business value, and explore iterative development approaches with continuous feedback loops to build optimal AI applications. Gain insights into establishing testing frameworks that ensure AI systems deliver measurable business results before deployment, moving beyond traditional technical metrics to demonstrate tangible value in production environments.
Syllabus
If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Taught by
InfoQ