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"Beware the simple questions" - A live recording that level sets of Data Science.

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Manage episode 402179228 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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A Data Science level set in 2024. This episode is a live recording that talks to

Distinguished Engineers at IBM from Client Engineering, Finance, and

Research with Rachel Reinitz, Suj Perepa, and "Beware of simple questions" Darrell Reimer, respectively. Pardon just a bit of sound quality issues.

  • 00:16 The Field of Data Science
  • 00:50 Meet Rachel, Suj, and Darrell
  • 03:37 What is Data Science Today?
  • 07:00 Data Science Skills
  • 10:25 How has Data Science Changed
  • 12:07 A Day in the Life
  • 14:25 AI Engineers?
  • 23:45 Fake News and Cost
  • 30:36 What's Next?
  • 33:27 Too Much GenAI?
  • 36:49 Low Barrier Risks
  • 39:29 Deep Science vs Deep Business
  • 42:17 For Fun

LinkedIn: linkedin.com/in/rreinitz, https://www.linkedin.com/in/sperepa/
linkedin.com/in/darrellreimer
Website: https://www.ibm.com/products/watsonx-ai/foundation-models
Want to be featured as a guest on Making Data Simple? Reach out to us at
almartintalksdata@gmail.com and tell us why you should be next. The
Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales,
IBM, where we explore trending technologies, business innovation, and
leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

304 episodes

Artwork
iconShare
 
Manage episode 402179228 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

A Data Science level set in 2024. This episode is a live recording that talks to

Distinguished Engineers at IBM from Client Engineering, Finance, and

Research with Rachel Reinitz, Suj Perepa, and "Beware of simple questions" Darrell Reimer, respectively. Pardon just a bit of sound quality issues.

  • 00:16 The Field of Data Science
  • 00:50 Meet Rachel, Suj, and Darrell
  • 03:37 What is Data Science Today?
  • 07:00 Data Science Skills
  • 10:25 How has Data Science Changed
  • 12:07 A Day in the Life
  • 14:25 AI Engineers?
  • 23:45 Fake News and Cost
  • 30:36 What's Next?
  • 33:27 Too Much GenAI?
  • 36:49 Low Barrier Risks
  • 39:29 Deep Science vs Deep Business
  • 42:17 For Fun

LinkedIn: linkedin.com/in/rreinitz, https://www.linkedin.com/in/sperepa/
linkedin.com/in/darrellreimer
Website: https://www.ibm.com/products/watsonx-ai/foundation-models
Want to be featured as a guest on Making Data Simple? Reach out to us at
almartintalksdata@gmail.com and tell us why you should be next. The
Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales,
IBM, where we explore trending technologies, business innovation, and
leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

304 episodes

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