Relevance AI
Jacky Koh is the founder of Relevance AI, a company that focuses on building AI chains and agents for various use cases such as chatbots, transcription, and data structuring. Prior to that, Jacky was a co-founder and board advisor at the Data Science and AI Association of Australia, where they aimed to connect the data science and machine learning community in the country. Jacky also co-founded Vylar Pty. Ltd., where they created successful apps with millions of installs. Additionally, Jacky served as the Head of Machine Learning at IAG and worked as a guest lecturer at UNSW. Jacky started their career as a data scientist at EY Data & Analytics, where they won the EY Data Science Challenge in 2018.
Jacky Koh pursued a Bachelor of Actuarial Studies and Science degree with a major in Statistics at the University of New South Wales (UNSW). The duration of the program and the specific years of enrollment are not specified.
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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