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How AI Will Impact Jobs
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| With Sue Stranburg (Data Scientist, PwC), Svetlana Reznik (Customer Success GM, Microsoft), Nan Wu (AI Researcher, NYU), Jinyi Duan (Estee Lauder). |
| Microsoft, 11 Times Sq |
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May 09 (Tue) , 2023 @ 06:00 PM
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FREE |
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/-73.98974609,40.75669861,13,0,0/550x200?access_token=pk.eyJ1IjoiZ2FyeXNndWlkZSIsImEiOiJjamtobmRiYmgwb3gwM3F1a2o2Mmd0YWw3In0.DinA62CR3-OKtf3axa5O7Q)
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| DETAILS |
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Join us for an engaging & thought-provoking in-person panel discussion featuring leading AI experts as they explore the future of work & the impact of artificial intelligence on the global workforce. As AI continues to transform industries & redefine the job landscape, it is essential for businesses, governments, & individuals to understand its implications & adapt accordingly.
During this exclusive event, our panelists will delve into pressing topics, such as:
The role of AI in job creation & displacement
Ensuring ethical & responsible AI utilization
Challenges & opportunities in integrating AI into the workforce
Don't miss this opportunity to gain valuable insights from industry experts & participate in a lively discussion on the future of work in the age of AI. Come prepared with your questions & concerns, & leave with a deeper understanding of how AI will shape the workforce & what you can do to stay ahead in the rapidly changing job landscape.
PANELISTS:
Svetlana Reznik, Customer Success General Manager, Northeast Region Enterprise Commercial at Microsoft
Svetlana Reznik leads the Data & AI Customer Success Team of Microsoft's Northeast Region, primarily focusing on Media, Entertainment, & Professional Services industries. Her organization's focus is on implementing Data, Analytics, & AI technology solutions to modernize businesses & to empower their employees. Prior to joining Microsoft, she held sales leadership roles at IBM & AWS. Svetlana is very excited about the to be a part of the emerging Open AI conversations. She lives in NYC & in her free time enjoys skiing, chasing after her six year old son, & co-leading the NY/NJ Women's ERG at Microsoft.
Nan Wu, AI researcher at NYU
Bio: Nan Wu is a Ph.D. candidate at NYU Center for Data Science, supported by Google Ph.D. Fellowship. Her works mainly contribute to topics of AI for healthcare & multi-modal learning. Before joining NYU, she studied at the University of Science & Technology of China, School of Gifted Young.
Sue Stranburg, Data Scientist, responsible AI at PwC
Sue is a seasoned Data Scientist at PwC focused on helping clients build & maintain trustworthy AI models in accordance with standards & regulations. Sue is part of the Innovation Hub AI pillar at PwC, a research-focused group aimed at advancing the services the firm provides through the application of AI. Her team works closely with various industries including Healthcare, Financial Services, Big Tech, & more. Sue specializes in Machine Learning, Deep Learning, Natural Language Processing, Software Architecture & Software Development. She holds a Graduate Certificate in Advanced Statistical Studies & Bachelor of Science degrees in Mathematics & Computer Science with over 15 years of industry experience.
Jinyi Duan, Project Manager at Estee Lauder
Glo Robinson, moderator
WOMEN IN TECH
Why we exist
For the past 4 decades the gender gap in tech has widened, with only 1 woman in 5 people working in the industry today. Women in Tech is changing that.
Who we are
Women in Tech is an international non-profit organization on a mission to close the gender gap & to help women embrace technology. With our Head Office in Paris, we are a Global Movement with chapters in 6 continents, counting over 170.000 members.
What we do
We focus on 4 primary areas that are a call for action: Education, Business, Digital Inclusion & Advocacy. We create impact through action to build skills & confidence, setting women up for success. We are on a mission to empower 5 million women & girls by 2030.
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