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Multidimensional Data Reversion: Free Text Isn't Free
Manage episode 485450968 series 3413467
Content provided by Ropes & Gray LLP and Gray LLP. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ropes & Gray LLP and Gray LLP 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://ppacc.player.fm/legal.
On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle of data analysis, visualization, and insight. They delve into the complexity of using free text in data analysis, explaining how unstructured text differs from structured data and the challenges it presents. The conversation also covers methods to analyze free text, including the use of rubrics, sentiment analysis, and self-scoring. They highlight the significance of understanding emotions and psychological safety when collecting and analyzing data. Additionally, they address the current limitations and potential of generative AI in data analysis, providing a realistic view of its capabilities and costs.
458 episodes
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Manage episode 485450968 series 3413467
Content provided by Ropes & Gray LLP and Gray LLP. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ropes & Gray LLP and Gray LLP 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://ppacc.player.fm/legal.
On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle of data analysis, visualization, and insight. They delve into the complexity of using free text in data analysis, explaining how unstructured text differs from structured data and the challenges it presents. The conversation also covers methods to analyze free text, including the use of rubrics, sentiment analysis, and self-scoring. They highlight the significance of understanding emotions and psychological safety when collecting and analyzing data. Additionally, they address the current limitations and potential of generative AI in data analysis, providing a realistic view of its capabilities and costs.
458 episodes
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Similar to RopesTalk
A daily dose of irreverent, offbeat, and informative takes on business & tech news. Hosted by Jon Weigell, Juliet Bennett Rylah, Mark Dent, Ben Berkley, Sara Friedman, Matthew Brown, and Rob Litterst from The Hustle.
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