Embark on a journey through the evolution of machine learning, as seen through the lens of my pioneering days starting over a decade ago. This session retraces the path from experimental beginnings to the advanced techniques of today. Discover how our methodologies propelled innovation, championing small-scale experiments and embracing failure as a stepping stone to success.
This talk isn't just about history; you will leave with a deeper understanding of Agile's real-world impact in AI development, the importance of setting clear goals, and how to apply the enduring lessons from ML's early days to today’s AI landscape. Get ready to be inspired and equipped with strategies that have stood the test of time, ready to be applied in your AI endeavors.