In this session, our panel of experts will explore the foundational strategies for integrating diverse data sources, tools, and technologies
talk-data.com
Speaker
Sadie St. Lawrence
2
talks
HMCI provides research, education and consulting services to support humans in the new area of working with machines. Women in Data is an international non-profit organization represented in 55 countries with a community of over 60,000 data leaders, practitioners, and enthusiasts. Women in Data has earned recognition as a Top 50 Leading Company of the Year and as the #1 community for Women in AI and Tech. Before establishing HMCI and Women in Data, Sadie gained extensive experience in data science and AI strategy, providing consulting services to healthcare, high-tech, and government organizations. Sadie's accomplishments include being named one of the Top 30 Women in AI (2022), one of the Top 10 Most Admired Businesswomen to Watch in 2021, a Top 21 Influencer in Data (2021), and one of the Top 30 Most Inspiring Women in AI (2021). She is also a recipient of the Outstanding Service Award from UC Davis (2019) and just recently, included in Dataleum’s 30 Outstanding Women in Data, 2023. Apart from her accolades, Sadie serves on various start-up and non-profit boards, and hosts the award-winning Data Bytes podcast and has educated more than 600,000 individuals in data science and AI.
Personal Social/Website Links: Website: https://sadiestlawrence.com LinkedIn: https://www.linkedin.com/in/sadiestlawrence/ Twitter: https://twitter.com/sadiestlawrence Newsletter: https://sadiestlawrence.substack.com/
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This panel will shed light on the common pitfalls, the harsh realities faced, and practical strategies for overcoming these obstacles.