Sarah Levy, the CEO and Co-Founder of Euno, shares her wealth of experience in data governance and science. She highlights the critical need for standardized metrics to foster trust in data-driven decisions. The discussion dives into the creation of a semantic layer to unify definitions and enhance collaboration among teams. Levy also explains the complexities of managing metric versions and balancing governance with innovation, emphasizing how these strategies can drive value and efficiency in organizations.
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insights INSIGHT
Data Distrust
Businesses invest heavily in data infrastructure, but often distrust the results.
This lack of trust hinders data-driven decision-making and undermines the value of data investments.
question_answer ANECDOTE
Inconsistent Asset Counts
Sarah Levy encountered discrepancies in asset counts at a fintech company, ranging from 270 to 320 out of 300.
A semantic layer provides a single, consistent definition, ensuring everyone uses the same figures.
volunteer_activism ADVICE
Build a Semantic Layer
Establish a central semantic layer to define key metrics consistently.
This ensures everyone uses the same definitions, improving trust and enabling AI integration.
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Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data?
Sarah Levy is a seasoned executive with extensive experience in data science, artificial intelligence, and technology leadership. Currently serving as Co-Founder and CEO of Euno since January 2023, Sarah has previously held significant positions, including VP of Data Science and Data Analytics for Real Estate at Pagaya and CTO at Sight Diagnostics, where innovative advancements in blood testing were achieved. With a strong foundation in research and development from roles at Sight Diagnostics and Natural Intelligence, as well as a robust background in cyber security gained from tenure at the IDF, Sarah has consistently driven impactful decision-making and technological advancements throughout their career. Academic credentials include a Master's degree in Condensed Matter Physics from the Weizmann Institute of Science and a Bachelor's degree in Mathematics and Physics from The Hebrew University of Jerusalem.
In the episode, Richie and Sarah explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers, the integration of AI in data processes, and much more.
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