How Data Should Work

Diversity of thought is fundamental to building powerful AI-driven solutions. Data professionals, data scientists and data analysts all work in technology and STEM jobs that are necessary to influence decision making across every industry. The importance of inclusion and diversity in these fields is critical to improve accuracy and reduce bias but there continues to be misaligned representation in filling these roles. In this episode, we discuss some of the challenges and tangible actions that may be taken to rebalance the number of women and historically underrepresented groups to close the gap.

Featured guest: Cindy Kelly, Senior Director, Sales & Enterprise BI, IT Operations, Four Seasons Hotel and Resorts

What is How Data Should Work?

Data is everywhere. Buzz terms such as big data, structured and unstructured data, and data analytics are continuously dropped in everyday conversations. But if data is so important, why aren’t more companies moving away from siloed spreadsheets and financial analysis to invest in more insight-driven data decisions across the business? Or if they have, why aren’t they further along in their progress?

Join Steven Karan, Vice President of Insights and Data at Capgemini Canada, and his exciting lineup of executive guest co-hosts as they tackle topics relevant to how data should work and how it can inspire innovation to the industries, people, and planet in which we operate every day.