Creating Equality and Inclusivity with Feature Engineering
Creating Equality and Inclusivity with Feature Engineering

Abstract: 

What's the impact of Machine Learning? It's a buzz word, it's synonymous with innovation, and it goes largely unchecked. Although we are finally seeing data as the intimate characteristic across organizations, regardless of industry, there are inherent and growing risks. The more we recognize data as the undergirding of each and every company, one goal becomes clear. We must talk about demystifying Machine Learning lexicons, and methods. This will help business stakeholders understand the intimate way that deep analytics is redefining customer personas for the better and the worse.

Bio: 

Vida Williams is a revered leader in the tech space. She currently serves as the Head of Data at SingleStone, and was recently named the company’s Chief Diversity Officer as an intentional approach towards mitigating bias in the Data and Technology industries. Vida is also a professor and Innovator in Resident at Virginia Commonwealth University, a gubernatorial appointee and co-chair of the Virginia Biotechnology Research Partnership Authority, and an impassioned activist for data privacy. She has contributed to TedX, TomTom Festival, The Frontier Partners, and countless client presentations. Vida also volunteers her data expertise to non-profits, offering free workshops and consulting. She leads organizations through exercises that help them to identify areas of improvement, new and better ways of showcasing their impact on the community, and how to use their data to foster growth.