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Thursday, April 26, 2018 
08:15 AM - 09:15 AM
When describing a product as "data-driven" or "fueled by machine learning," it can be difficult to parse a common, fundamental definition of what makes an application "intelligent." In this talk, we will cover how you can peel back the buzzwords from the space of data science, machine learning, and artificial intelligence. You will be able to:
- Start sketching your own frameworks for understanding and evaluating these products
- Better understand when things go wrong
- Learn what design questions to ask before your systems go haywire
- Know what questions to ask product vendors, and have a better understanding of their answers
Amanda Casari is a Senior Product Manager and Data Scientist for Concur Labs at Concur, where she explores prototypes, interfaces, and future tech for travel and expense. She is a frequent speaker, future O’Reilly author and works to foster an inclusive Seattle data community, volunteering with groups like PyLadies and NASA Datanauts. Before joining Concur, Amanda worked as an engineer, a data scientist and served as a Lieutenant in the US Navy.
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