Tianyu Chen
eBay Machine Learning Platform Product Lead
He is responsible for the product planning and construction of eBay's internal feature engineering platform, model training platform, and model deployment platform to drive the company's artificial intelligence transformation strategy. He has a master's degree in software engineering (natural language processing direction) from Fudan University. He has rich experience in AI platform/application product development, and was an artificial intelligence architect at Microsoft (Asia) Internet Engineering Institute. He has participated in leading the AI platform construction process of domestic and foreign head enterprises in finance, medical, automotive, real estate and other fields.
Topic
Platform-driven eBay AI transformation strategy practices and new opportunities for generative AI
As the originator of the e-commerce industry, eBay is approaching its own year of existence. Today's eBay marketplace has billions of products, millions of active buyers/sellers, and is actively advancing its AI transformation with quality data assets and industry insights. In the process, a number of key questions are being asked. - How to build a unified machine learning platform to empower the AI evolution of the whole business chain of e-commerce? - How to clarify the boundaries of technology platforms and business solutions, more reasonable precipitation technology, to support the development of upstream business? - How to cover the complete model R&D lifecycle management with higher quality and provide enterprise-level AI asset reuse and governance? - In particular, in the first year of development of generative AI, what new opportunities and challenges are enterprise machine learning platforms facing, and what governance strategies and product capabilities should be established? This talk will discuss the above questions in depth and share experiences and practices. We welcome you to listen and share with us!
