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Recently published
AI in Healthcare, an Insider's Account
Arnaub Chatterjee, a Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company, discusses cutting through the hype about artificial intelligence (AI) and machine learning (ML) in healthcare.
Podcasts
Data Science Tool Building
Wes McKinney talks about data science tool building, what it took to get pandas off the ground and how he approaches building human interfaces to data to make individuals more productive.
Podcasts
Inclusivity and Data Science
Brandeis discusses the biggest barriers to entry for people of color in data science, initiatives that currently exist and what we as a community can do to promote diversity.
Podcasts
Data Science at the BBC
Hugo speaks with Gabriel Straub, the Head of Data Science and Architecture at the BBC, to discuss data science and machine learning at the BBC and much more!
Podcasts
Data Science, Gambling and Bookmaking
Marco Blume, Trading Director at Pinnacle Sports talks about the role of data science in large-scale bets and bookmaking, how Marco is training an army of data scientists and much more.
Podcasts
Data Science at AT&T Labs Research
Noemi Derzsy, a Senior Inventive Scientist at AT&T Labs Research within the Data Science and AI Research organization, discusses her work there and much more!
Podcasts
Data Privacy in the Age of COVID-19
Katharine Jarmul, Head of Product at Cape Privacy, speaks with Hugo about what type of tools are being developed to help us through this crisis and how they impact your privacy.
Podcasts
Creating Smart Cities with Data Science
Amen Ra Mashariki deep dives into the state of data literacy in government agencies, the use cases he worked on to make the City of New York smarter, and more!
Podcasts
From Predictions to Decisions
Dan Becker deep dives into the intersection of decision sciences and machine learning, how data teams can go from experimentation and deployment to providing value at scale for organizations, and more!
Podcasts
The Past and Present of Data Science
Sergey Fogelson deep dives into how data science has evolved over the past decade, the largest challenges facing data teams today, and the importance of learning SQL and data democratization.
Podcasts
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
Podcasts
Preventing Fraud in eCommerce with Data Science
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.
Podcasts
The Future of Responsible AI
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.
Podcasts
Building High Performing Data Teams
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.
Podcasts
Scaling Machine Learning Adoption: A Pragmatic Approach
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.
Podcasts
Providing Financial Inclusion with Data Science
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.
Podcasts
Post-Deployment Data Science
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.
Podcasts
Radar—Building and Scaling Remote Data Teams
Discover how to build and successfully manage remote data teams.
Webinars