Abstract:

• Every Data Scientist is hired to bring value to the business and is expected to develop and iterate on data products that help the company grow. But not every company or data scientist is ready to do so. This talk, based on 25+ collaborations with companies of all industries and sizes, will cover the soft and technical skills you need to get your proof-of-concept into production -- the first time or the next time.

Speaker:

• IDEAS Conference 2019 (Oct 2019)

• LA Springboard Community Meet-up (Oct 2019)

• Customer Data Science LA (Sept 2019, video)

Keywords:

• Data products

• Machine Learning in Production

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