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Exploring Generative AI in Life Sciences with Nechama Katan

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Manage episode 385114658 series 3526489
Content provided by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal 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.

Join us in a conversation with Nechama Katan, as we investigate the world of generative AI in life sciences, a realm where technology meets business, and where Nechama, an expert in innovative data in the clinical space of life sciences, will guide us.
We're taking a deep dive into the ever-evolving realm of technology in life sciences. We'll take a look at the shift from standalone to integrated tools, and how generative AI is influencing the distribution of labor in life science companies. We'll also explore the potential uses of generative AI in data summarization, and how it could disrupt the traditional role of programmers in clinical trials. Nehamah will share her experiences with chat GPT, Amazon product reviews, Grammarly, and Databricks AI Assistant, shedding light on how generative AI is being implemented in clinical trials and data analysis.
Finally, we will explore technology's significant role in data analysis. Nechama envisions a future where data is readily accessible to everyone seeking answers. She believes generative AI can help us verify random facts and enhance exploratory data analysis. She'll also share insights on how providing the right context to AI can enhance our understanding of the data in front of us. Tune in for this insightful discussion and be sure to reach out to Nechama for any queries or assistance you may need with a complex problem.
Guest:
Nechama Katan

________
Reach out to Sam Parnell and Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 385114658 series 3526489
Content provided by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal 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.

Join us in a conversation with Nechama Katan, as we investigate the world of generative AI in life sciences, a realm where technology meets business, and where Nechama, an expert in innovative data in the clinical space of life sciences, will guide us.
We're taking a deep dive into the ever-evolving realm of technology in life sciences. We'll take a look at the shift from standalone to integrated tools, and how generative AI is influencing the distribution of labor in life science companies. We'll also explore the potential uses of generative AI in data summarization, and how it could disrupt the traditional role of programmers in clinical trials. Nehamah will share her experiences with chat GPT, Amazon product reviews, Grammarly, and Databricks AI Assistant, shedding light on how generative AI is being implemented in clinical trials and data analysis.
Finally, we will explore technology's significant role in data analysis. Nechama envisions a future where data is readily accessible to everyone seeking answers. She believes generative AI can help us verify random facts and enhance exploratory data analysis. She'll also share insights on how providing the right context to AI can enhance our understanding of the data in front of us. Tune in for this insightful discussion and be sure to reach out to Nechama for any queries or assistance you may need with a complex problem.
Guest:
Nechama Katan

________
Reach out to Sam Parnell and Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

64 episodes

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