Blending Machine Learning with Product Discovery

Machine learning is highly experimental, with little known upfront about the outputs that will be made available to an organization’s products. This introduces a new level of risk to product teams, and challenges conventional product discovery approaches. This talk will look at how a Data Scientist’s work can be effectively blended into software development best practices, ensuring machine learning products are both relevant and released on pace with the other parts of the product.

Experienced and hands-on expert in data science and machine learning. I instruct companies on how to bridge machine learning technology with product development, building their knowledge around the tooling and strategies that make AI a reality in today’s organizations.