One of Atipica’s core values is to build ethical technology with a diverse team. Our modeling relies on inclusive data sets, and our team brings experience in DEI, civic technology, teaching, data science, and internationalization. We build our products and our services with expertise from the lived experiences of our team members. This month, we are highlighting Atipica’s Business Operations intern, Ella Ayala. Ella is … Continue reading Atipica Team Spotlight: Ella Ayala, Business Operations
In seeking to support friends, colleagues, and community members from underrepresented or marginalized groups, many of us want to identify as an “ally”. But the word has been thrown around in so many different ways over the last few years, it has almost lost meaning. Tactically, what does it look like to be an “ally” to underrepresented groups in the workplace? If you consider yourself … Continue reading Three Core Competencies of An Authentic “Ally” in the Workplace
As Americans, we are a part of a nation of immigrants. From the I Am An Immigrant campaign, we remember that “America’s diversity — fueled in great part by immigrants — makes us stronger and more connected as a nation. Since June of 2014, Immigrant Heritage Month has given people across the United States an opportunity to annually explore their own heritage and celebrate … Continue reading Four Ways to Create Welcoming Workplaces for Immigrants
At Atipica, we work with companies and organizations to understand their talent data, improve their hiring processes, and help them build a more modern workforce. We believe our technology can help companies foster diverse teams and build inclusive, supportive workplaces while understanding the return on investment of diversity, belonging and inclusion. With Atipica’s Diversity Intelligence platform, teams can easily share out our intuitive data visualizations to … Continue reading Announcing: Atipica Augment API
Michelle Lee is currently a Data Scientist at Atipica and is a Senior Data Analytics Instructor at Product School. Amazon was recently reported to have built a machine learning model aimed at ranking candidates for its open roles. However, the team building the tool was disbanded due to the biases learned by the model. For example, the model ranked candidates lower if their resumes included … Continue reading AI Bias in Recruiting: Why Does It Happen?