category
Podcast
Listen to our data science podcasts at DataCamp. We talk about everything from how to get a job as a data engineer, to scaling AI adoption in your business.Other types:
Richie Cotton •
August 15, 2022
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, the most important skills for modern data scientists to cultivate, and more.
Adel Nehme •
August 8, 2022
Interpretable Machine Learning
Serg Masis talks about the different challenges affecting model interpretability in machine learning, how bias can produce harmful outcomes in machine learning systems, the different types of technical and non-technical solutions to tackling bias, the future of machine learning interpretability, and much more.Adel Nehme •
August 1, 2022
How Salesforce Created a High-Impact Data Science Organization
Anjali Samani shares what it takes to become a mature data organization and how to build an impactful, diverse data team, the hallmarks of a mature data organization, how to measure ROI on data initiatives, how Salesforce implements its data science function, and how to utilize strong relationships to develop trust with internal stakeholders and the data team.Adel Nehme •
July 25, 2022
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 limitations, whether scaling models is the path to “Artificial General Intelligence”, and more.Adel Nehme •
July 18, 2022
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.Adel Nehme •
July 11, 2022
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.Adel Nehme •
July 4, 2022
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 and effective communication to drive value while leading the data science finance function at Stryker.Adel Nehme •
June 27, 2022
Democratizing Data in Large Enterprises
Meenal Iyer shares her thorough, effective, and clear strategy for democratizing data successfully and how that helps create a successful data culture in large enterprisesAdel Nehme •
June 20, 2022
Building a Holistic Data Science Function at New York Life Insurance
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.Adel Nehme •
June 13, 2022
How Data Science is Transforming the Healthcare Industry
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 and accounting for the real-world impact of AI and machine learning on patient care and experience.Adel Nehme •
June 6, 2022
Building Data Literacy at Starbucks
Megan Brown, Director of Data Literacy and Knowledge Management at Starbucks, discusses what they have done to forge data culture and data literacy at Starbucks.Adel Nehme •
May 16, 2022