October 13, 1:40 pm

With recent advancements in analytics and AI, it’s safe to say the technology is coming of age. But with this progress comes ethical considerations and corporate responsibility. Does your organization recognize data bias exists, in the data itself and the people analyzing or using it? How are you mitigating bias at every stage of the data and analytics process – from data capture to running machine learning systems?

In this talk, data and analytics leaders will:

• See practical examples of how bias can occur in analytics projects
• Learn effective ways to approach bias with technical and non-technical teams
• Take away strategies to promote fairness in their data analytics practice

Shingai Manjengwa – Director, Technical Education, Vector Institute for Artificial Intelligence & Founder, Fireside Analytics