Interview
The technology industry needs more diversity and this debate is not only about gender but skills. Sarah Hoffman opens up in this candid discussion on promoting the inclusion of Artificial Intelligence, the steady increase of women in the space and how we need to refrain from ingraining AI with bias
In this engaging discussion featuring a women leader who is part of Fidelity's Centre for Applied Technology, there is a myriad of exchanges that include:
Recommendations by Sarah:
Invisible Women: Data Bias in a World Designed for Men
Lab Rats: How Silicon Valley Made Work Miserable for the Rest of Us
In Machines We Trust: A podcast by MIT Technology Review
VP, AI and Machine Learning Research at Fidelity Investments
Sarah Hoffman is part of the Fidelity Center for Applied Technology (FCAT) department, where she explores AI and Machine Learning trends that will impact Fidelity in the next 3-5 years. Sarah was nominated as a Rising Star for WatersTechnology’s Women in Technology and Data Awards in 2018. Sarah formerly worked at FactSet, where she headed FactSet’s Machine Learning and Language Technology Team. She also worked as an Information Technology Analyst at Lehman Brothers. Sarah holds an MS from Columbia University in Computer Science with a focus on Natural Language Processing. She also holds a BBA from Baruch College in Computer Information Systems.
Vice President of Cognitive Solutions, Haptik
Buka is responsible for enabling companies to successfully create and deliver conversational AI solutions across their organizational ecosystems. Prior to joining Haptik, Buka was part of BlackRock’s Artificial Intelligence and Automation team where she implemented automation tools to help scale operations and support teams across the firm’s global footprint. Buka holds an MS from Columbia University and is the editorial board member of the Journal of AI, Robotics, and Workplace Automation at Henry Stewart Publications