"From Dataset to Decision Maker: Women Leading AI "
"From Dataset to Decision Maker: Women Leading AI "
Thu May 22 - 4:20 PM EDT/New York (See in local time)
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05/22/2025 4:20 PM
05/22/2025 04:40 PM
America/New_York
#WTGC2025
"From Dataset to Decision Maker: Women Leading AI "
#WTGC2025
"From Dataset to Decision Maker: Women Leading AI "
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"From Dataset to Decision Maker: Women Leading AI "
"From Dataset to Decision Maker: Women Leading AI "
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
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Session: From Dataset to Decision Maker: Women Leading AI
"The future of AI is only as bright as the diversity of those who shape it."Women's representation in AI leadership roles remains alarmingly low. According to a recent study by World Economic Forum, only 22% of AI leadership positions are held by women. This underrepresentation limits the potential of AI to address societal challenges and create a more equitable future.
This session aims to inspire and empower women to break down barriers and take charge in AI. By highlighting the contributions of successful women leaders and addressing common challenges faced by women in the field, we will provide actionable insights and practical advice. Additionally, this session will delve into the challenges of navigating legal considerations while implementing AI in any organization.
Join us for an inspiring and informative session that will equip you with the tools and knowledge to become a powerful leader in the field of AI.
Key Takeaways
- The importance of women's leadership in AI: Understand the critical role women play in shaping the future of AI.
- Navigating legal considerations: Gain insights into the legal landscape surrounding AI implementation, including compliance with privacy laws, data protection regulations, intellectual property rights, and potential liability issues.
- Overcoming barriers: Learn about common challenges faced by women in AI and strategies for overcoming them.
- Building a strong network: Discover the power of networking and how to build meaningful connections within the AI community.
- Developing leadership skills: Acquire practical tips for developing essential leadership qualities.
Bio
Sweta Kale is a globally minded engineering leader with over 25 years of extensive experience in working with and growing diverse teams. Currently she is a Sr. Director of SW Engineering at NetApp, Sunnyvale headquarters, responsible for delivering datacenter as well as cloud-integrated software defined solutions for NetApp customers across different portfolio of offerings. She has been part of the ONTAP WAFL filesystem, RAID, Storage, High Availability and Disaster Recovery technologies and more currently focused on delivering Cloud native Kubernetes based Software defined storage solutions partnering with different Hyperscalars. Her expertise lies in bringing diverse teams together while working on delivering complex projects on schedule, with quality and a customer-first focus. She has also led GenAI initiatives at NetApp and serves as a Chair for their internal board.Sweta is a strong promoter for Women in Tech and has been a great contributor in the Advisory role for Thrive-Wise, a non-profit focused on Women+ in Science and Engineering.
Prior to NetApp, Sweta worked in the wireless industry on various 802.11 standards, working with WiFi alliance on standardizing test plans, representing the companies she worked for as part of her journey. Her expertise was in delivering compelling solutions with Quality of Service for voice, video and data.
Sweta holds a Bachelors in Physics, and an Engineering degree in Biomedical Instrumentation with Honors from Mumbai University, India.
---Second Speaker--
Monalisha Singh, a Lead Software Engineer at NetApp Inc., is at the forefront of delivering cutting-edge Observability solutions for new hyper-scalar products. Collaborating closely with various departments and partner organizations, she designs innovative solutions tailored for cloud-native products. With an expansive background that spans from virtual machines in the cloud to Kubernetes Monalisha remains steadfast in her commitment to empowering women in the technology community. In addition to her expertise, Monalisha is also a certified AI engineer. Her passion extends beyond her professional endeavors as she volunteers with science clubs for girls, nurturing the next generation of aspiring female scientists.
