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In this episode, we speak with Nate Fox, CTO and Co-Founder at Ribbon Health, and Sunna Jo, resident data science at Ribbon Health on how AI is improving data quality in healthcare. 

Using AI to Improve Data Quality in Healthcare

Join in for a discussion on ChatGPT, GPT-3, and their use cases for working with text, helping companies scale their operations, and much more.

ChatGPT and How Generative AI is Augmenting Workflows

Martin Musiol talks about the state of generative AI today, privacy and intellectual property concerns, the strongest use cases for generative AI, and what the future holds.

Inside the Generative AI Revolution

Justin Fletcher joins the show to talk about how the US Space Force is using deep learning with telesco

The Deep Learning Revolution in Space Science

https://www.datacamp.com/blog/the-deep-learning-revolution-in-space-science

Jordan Morrow shares his insights on data literacy, why organizations need data literacy in order to use data properly and drive business impact, how to increase organizational data literacy, and more.

How Data Literacy Skills Help You Succeed 

https://www.datacamp.com/blog/how-data-literacy-skills-help-you-succeed

Ella Hilal, VP of Data Science and Engineering, Shopify shares insights on the biggest mistakes data scientists make, &nbsp;being an effective data leader, how to create cohesion between teams, and much more.&nbsp;

How an Always-Learning Culture Drives Innovation at Shopify 

https://www.datacamp.com/blog/how-an-always-learning-culture-drives-innovation-at-shopify

George Trujillo shares how he believes real-time data can completely transform the way companies work with data, the real-world use cases of real-time analytics, why reducing data complexity is key to improving the customer experience, the common probl

How Real Time Data Accelerates Business Outcomes

https://www.datacamp.com/blog/how-real-time-data-accelerates-business-outcomes

Daniel Situnayake talks about his work with EdgeML, the biggest challenges in embedded machine learning, potential use cases of machine learning models in edge devices, and the best tips for aspiring machine learning engineers and data science practiti

Embedded Machine Learning on Edge Devices

https://www.datacamp.com/blog/embedded-machine-learning-on-edge-devices

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

Post-Deployment Data Science

https://www.datacamp.com/blog/post-deployment-data-science

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

Interpretable Machine Learning 

https://www.datacamp.com/blog/interpretable-machine-learning

In this episode, we talk about how Glenn Hofmann built New York Life Insurance&rsquo;s 50-person data science and AI function, how they utilize skillsets to offer different career paths for data scientists, and much more.

Building a Holistic Data Science Function at New York Life Insurance

https://www.datacamp.com/blog/building-a-holistic-data-science-function-at-new-york-life-insurance

In this episode of DataFramed, we speak with Shameek Kundu, former group CDO at Standard Chartered Bank, and Chief Strategy Officer &amp; Head of Financial Services at TruEra Inc about Scaling AI Adoption throughout financial services.

Scaling AI Adoption in Financial Services

https://www.datacamp.com/blog/scaling-ai-adoption-in-financial-services