This week on The Data Stack Show, Eric and John chat with Jesse Clark, the Co-Founder & CTO of Marqo.ai. During the episode, Jesse discusses the evolution of AI and machine learning in enhancing search capabilities, particularly in e-commerce. The group explores the concept of vector search and its advantages over traditional keyword-based methods. The conversation also touches on the challenges of searching for specific items, like car parts for Land Cruisers in Australia, due to the complexity of part numbers and interchangeability. They delve into the difficulties of dealing with unstructured data, such as information locked in PDFs and manuals, and how Marqo is developing AI to search and incorporate this data into relevant results. The episode covers the technical aspects of customizing embedding and language models for better search outcomes and the potential of language models to connect different data modalities for advanced search experiences, the future of interfaces, the role of new technology in search experiences, and more.
Podden och tillhörande omslagsbild på den här sidan tillhör Rudderstack. Innehållet i podden är skapat av Rudderstack och inte av, eller tillsammans med, Poddtoppen.
