Diversity in Data Organizations: Building a Representative Workforce and Why it Matters

This panel discussion will bring together experts in the field of diversity in data and discuss practical solutions which can help every organization close the gap. Fairness in itself should be reason enough to embed diversity in our data science teams and processes, but there are important practical considerations as well. This isn't just a matter of fairness. Study after study has shown the positive impact of workplace diversity on everything from employee satisfaction and engagement to productivity and profitability.
*With a diverse workforce, organizations can embody their ethics and values in their products, and develop solutions that reflect a nuanced understanding of the full range of human experience.
*While it matters for every kind of company, diversity is especially important for data science-powered businesses. A model is only as good as its training, and it's all too easy to build blind spots and biases into the systems.