In this episode of the Unleashing AI podcast, your host Pavel Fakanov is joined by Justin Swansburg, VP of Applied Data and AI at DataRobot. We discuss the differences between generative AI and predictive AI and how businesses can extract value from both. Justin provides examples of using generative AI to produce code and assist with data enrichment for predictive problems, such as forecasting hospital readmission rates.

In this episode of the Unleashing AI podcast, your host Pavel Fakanov is joined by Justin Swansburg, VP of Applied Data and AI at DataRobot. We discuss the differences between generative AI and predictive AI and how businesses can extract value from both. Justin provides examples of using generative AI to produce code and assist with data enrichment for predictive problems, such as forecasting hospital readmission rates.

Join us as we:

• Explain the difference between generative and predictive AI
• Discuss how generative and predictive AI can drive business value
• Deep dive into data enrichment and creating synthetic data sets

Justin has over ten years of experience in data science and machine learning and is the VP of Applied AI & Data Science at DataRobot. He leads a team of data scientists and engineers and advises businesses across the Americas on leveraging machine learning to solve their business problems.

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