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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

Radar—Hiring and Building High Impact Data Teams

Data leaders at global brands outline methods to build high-impact data teams.

Webinars

Radar—Employer Branding for Data Talent When You’re Not a FAANG

HR leaders at top brands outline key strategies for improving employer branding.

Webinars

Radar—Hiring & Retaining Data Talent in 2022

Learn how to optimize hiring flows for data talent, and how to retain talent.

Webinars

How Salesforce Created a High-Impact Data Science Organization

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.

Podcasts

GPT-3 and our AI-Powered Future

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.

Podcasts

How to Build a Data Science Team from Scratch

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.

Podcasts

How Data Science Enables Better Decisions at Merck

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.

Podcasts

How Data Science Drives Value for Finance Teams

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.

Podcasts

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