Creating Trust in Data with Data Observability
In this episode, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo, on the importance of data quality and how data observability creates trust in data throughout
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In this episode, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo, on the importance of data quality and how data observability creates trust in data throughout
In this episode of DataFramed, Adel speaks with Elad Cohen, VP of Data Science and Research at Riskified on how data science is being used to combat fraud in eCommerce.
In this episode of DataFramed, Adel speaks with Maria Luciana Axente, Responsible AI and AI for Good Lead at PwC UK on the state and future of responsible AI.
In this episode of DataFramed, we speak with Syafri Bahar, VP of Data Science at Gojek about building high-performing data teams, and how data science is central to Gojek’s success.
In this episode of DataFramed, we speak with Noah Gift, founder of Pragmatic AI Labs and prolific author about operationalizing machine learning in organizations and his new book Practical MLOPs.
In this episode of DataFramed, we speak with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma about how data science is being leveraged to increase financial inclusion.
Hakim Elakhrass talks about post-deployment data science, the real-world use cases for tools like NannyML, the potentially catastrophic effects of unmonitored models in production and the most important skills for modern data scientists to cultivate.
Discover how to build and successfully manage remote data teams.
Data leaders at global brands outline methods to build high-impact data teams.
HR leaders at top brands outline key strategies for improving employer branding.
Learn how to optimize hiring flows for data talent, and how to retain talent.
Anjali Samani, Director of Data Science & Data Intelligence at Salesforce, joins the show to discuss what it takes to become a mature data organization and how to build an impactful, diverse data team.
Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models shares insights about what makes GPT-3 unique, the transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limits.
Elettra Damaggio shares how data leaders can balance short-term wins with long-term goals, how to earn trust with stakeholders, major challenges when launching a data science function, and advice she has for new and aspiring data practitioners.
Suman Giri shares how Merck is using data to improve organizational decision-making, medical research outcomes, and how data science is transforming the pharmaceutical industry at scale.
Brian Richardi talks about his experience as a data science leader transitioning from Finance. He provides insights into utilizing collaboration, effective communication to drive value and the future of data science in Finance.
In this episode, we talk about how Glenn Hofmann built New York Life Insurance’s 50-person data science and AI function, how they utilize skillsets to offer different career paths for data scientists, and much more.
Curren Katz, Senior Director for Data Science & Project Management at Johnson & Johnson, discusses how the healthcare industry presents a set of unique challenges for data science, including how to manage and work with sensitive patient information.