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Sarah Aerni is a data scientist Salesforce. In this conversation, Sarah leads off by talking about what that even means. First, she gives a brief history of the expectation in customer experience and how it's evolved wit...
Ep. 140: Sarah Aerni, Salesforce is an episode from CX Network by Seth Adler. Sarah Aerni is a data scientist Salesforce. In this conversation, Sarah leads off by talking about what that even means. First, she gives a brief history of the e...
This episode belongs to CX Network.
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Published Dec 18, 2019, 30:21 long, audio available.
Sarah Aerni is a data scientist Salesforce. In this conversation, Sarah leads off by talking about what that even means. First, she gives a brief history of the expectation in customer experience and how it's evolved with the introduction of AI. Then she describes her role in this way: "My role is to lead a team of really brilliant individuals that are focused on how to make it possible for Salesforce customers to build models, add predictions and intelligence without building out an entire data science team." Sarah comes from a deep science background, having spent six years becoming the expert on automated labeling of C. elegans—a worm cell. How does that relate to forward-facing data science on modern platforms? Building a model is building a model, as Sarah explains. While she shirks the term "unicorn," it is easy to understand why she's been described that way listening to this episode.
You can listen to Ep. 140: Sarah Aerni, Salesforce online on Radio and Podcast. Open the player on this page to stream the available audio.
Ep. 140: Sarah Aerni, Salesforce is an episode from CX Network by Seth Adler.
This episode is 30:21 long.
This episode was published on Dec 18, 2019.
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Yes. This page shows related episodes from CX Network when more episodes are available from the podcast feed.
You can listen to Ep. 140: Sarah Aerni, Salesforce on this page when the episode audio is available from the podcast feed.
Ep. 140: Sarah Aerni, Salesforce is from CX Network by Seth Adler.
Published Dec 18, 2019 and 30:21 long