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Driving Business Value Using Generative and Predictive AI with Justin Swansburg, VP of Applied Data and AI at DataRobot

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Manage episode 366071693 series 3470984
Contenuto fornito da Pavel Fakanov and Unleashing AI. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Pavel Fakanov and Unleashing AI o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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.

Rate and Review the Unleashing AI podcast:

Connect with Justin Swansburg:

Connect with Pavel Fakanov

If you enjoyed this episode, make sure to subscribe, rate and review it on Apple Podcasts, Spotify, and Google Podcasts; instructions on how to do this are here.
  continue reading

14 episodi

Artwork
iconCondividi
 

Serie archiviate ("Feed non attivo" status)

When? This feed was archived on September 29, 2024 18:56 (1M ago). Last successful fetch was on October 30, 2023 16:02 (1y ago)

Why? Feed non attivo status. I nostri server non sono riusciti a recuperare un feed valido per un periodo prolungato.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 366071693 series 3470984
Contenuto fornito da Pavel Fakanov and Unleashing AI. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Pavel Fakanov and Unleashing AI o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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.

Rate and Review the Unleashing AI podcast:

Connect with Justin Swansburg:

Connect with Pavel Fakanov

If you enjoyed this episode, make sure to subscribe, rate and review it on Apple Podcasts, Spotify, and Google Podcasts; instructions on how to do this are here.
  continue reading

14 episodi

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