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Conference: Transform X 2022
Authors: Glenn Hofmann
2022-10-19
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The speaker discusses the use of machine learning in various areas of their organization, including sales, finance, underwriting, recruiting, and fraud detection. They emphasize the importance of building relationships with the business, having infrastructure for data scientists, and experimenting with different business models. The speaker also shares anecdotes about specific challenges they faced in implementing machine learning.
- Machine learning is used in various areas of the organization, including sales, finance, underwriting, recruiting, and fraud detection
- Building relationships with the business is important for successful implementation of machine learning
- Infrastructure for data scientists is necessary, including data curation and development and deployment environments
- Experimentation with different business models is important
- Challenges include dealing with unstructured data and separating relevant information from irrelevant information