Crossing the AI Chasm – Simon Chan
Building an end-to-end A.I. application and deploying it in production environments is tremendously more complicated than simply doing algorithm modeling in a lab. Many companies, despite having invested heavily in A.I. research, face the challenge of bringing seemingly impressive research results into reality. Inspired by the well-known ÛÏCrossing the ChasmÛ theory in the startup community, Simon will systematically analyze this particular problem of bridging the gap between multiple steps to bring A.I. into real applications.
With years of experience in building an open-source AI dev platform, Simon will walk through how the team and the community navigated the end-to-end machine learning application development journey.