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In this webcast, Annamaria will cover topics related to AI fairness and detail different approaches to fair model building. This webinar may resonate with you if you have a curious mindset and are willing to try out various bias mitigation methods throughout the different phases of the Machine Learning modeling life cycle, and apply pre-processing, in-processing and post-processing techniques to increase model fairness. The webinar will also touch on some current research into AI fairness and give helpful pointers to their real-life application.
Annamaria is a Manager, Data Scientist – Machine Learning Engineer on the IBM Data Science and AI Elite Team and leads a team of Data Scientists in the North America region. She works with clients globally helping them become successful on their journey to AI. Being a lifelong learner, she has a diverse educational background including Computer Science / Big Data Analytics, Transport Engineering, Psychology and Economics. She held previous positions as a General Manager and EMEA Regional Manager for international organizations effectively using data to drive business decisions while managing and growing the business.