Relevance AI
Daniel Palmer has a diverse work experience history. Daniel is currently a member of the Founding Team at Relevance AI, where they assist in building AI chains and agents. Prior to that, they were a Developer at Raw.Studio, where they worked on software development and UI/UX design. Daniel also worked as a Developer at Rebel Sport, overseeing web development and managing ecommerce products for various clients. Additionally, Daniel co-founded Tribefire and served as the technical lead, managing the product from idea to marketing. Daniel has also worked in marketing roles at Audience Republic and Sportility, and served as a Reporter at Football NSW. Daniel has experience in content creation, SEO, and education, as well.
Daniel Palmer completed their Bachelor of Commerce (B.Com.) degree with a specialization in Marketing and Management from the University of Sydney, where they attended from 2014 to 2018. In 2017, they also pursued a short-term course in Front End Web Development at General Assembly. Prior to their higher education, they obtained their High School Certificate from Redfield College, where they studied from 2005 to 2013.
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Relevance AI
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At Relevance AI, our mission is to help teams create "light bulb" data moments. Moments where you realize something impossible is possible now and the significant impact of it. This moment can ignite essential use cases such as unstructured data analysis, topic modelling, recommendations, semantic search, zero-shot classification, etc. Unstructured data exists in many forms, such as text fields in your CSV, SQL tables, PDFs, Audio transcripts, Images, Videos, etc. "The 80% Blind Spot: Are You Ignoring Unstructured Organizational Data?" - Forbes