During the recent Tesla AI Day event, Elon Musk said he discourages "machine learning, because it is really difficult. Unless you have to use machine learning, don't do it." Well, Musk may be right in his assessment, because machine learning is quite difficult to implement. Most companies desire the benefits of what artificial intelligence can achieve for their business, but most don't have what it takes to get it up and running. Therefore, as much as 85% of ML projects currently fail.

This partnership suggests the chain is relying more heavily on AI and machine learning systems to improve its system. "Machine learning models can provide significant value to an organization in several business applications, but without a solid [machine learning] operations pipeline, that value cannot be truly realized," Zack Fragoso, manager, data science and AI at Domino's, said in the release. The chain began testing AI in 2018 with an Alexa-like voice recognition application called DOM. In 2019, Domino's began piloting Dragontail Systems' AI technology at its Australian and New Zealand locations to scan each pizza and ensure they measured up to quality standards. The pilot was expanded after improving quality scores by 15% in its first month.

Jerry has extensive experience in machine learning, storage systems, online service, distributed systems, virtualization, and OS kernel. He has worked on high performance and large-scale systems at companies such as: Lyft, Box, Twitter, Zynga, and Microsoft. He has also authored the open-source project Lib Crunch and is a three-time Microsoft Gold Star Award winner. Jerry completed his master's degree in computer science at Shanghai University. His most recent startup is Datatron.