Sarah is Director of Machine Learning and Engineering at Salesforce.
Sarah is a leader with technical expertise in building and deploying machine learning models in production. She's currently obsessed with agility in data science, monitoring and alerting, refreshing models in production with zero downtime and helping customers address challenges around data bias. Her Ph.D. is in Biomedical Informatics from Stanford University. Connect with her on LinkedIn or Twitter.
Apr 03, 2020 By Sarah Aerni
In the face of COVID-19, we’ve changed how we interact with friends, families, colleagues — and businesses. As our behavior has shifted, so has the data connected with it. Now your models may be producing atypical results. Businesses now face a shared challenge: how do you predict the... Read More
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