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Babylon's Ali Parsa is back 'plans to build a startup that's bigger than his last'.
Here's hoping the plan is to build a company that's much better not just bigger.
Great article by Kai Nicol-Shwarz
sifted.eu/articles/ali...
#healthtech #ai #healthai
Here's hoping the plan is to build a company that's much better not just bigger.
Great article by Kai Nicol-Shwarz
sifted.eu/articles/ali...
#healthtech #ai #healthai
Brunch with Babylon founder Ali Parsa: 'I’m not one to sit down and lick my wounds'
Parsa discusses the 'hardest' period of his career, the importance of control and plans to build a startup that’s bigger than his last
sifted.eu
December 4, 2024 at 12:40 PM
Babylon's Ali Parsa is back 'plans to build a startup that's bigger than his last'.
Here's hoping the plan is to build a company that's much better not just bigger.
Great article by Kai Nicol-Shwarz
sifted.eu/articles/ali...
#healthtech #ai #healthai
Here's hoping the plan is to build a company that's much better not just bigger.
Great article by Kai Nicol-Shwarz
sifted.eu/articles/ali...
#healthtech #ai #healthai
NYU Langone gave open access to GenAI to their staff. Results:
‣ 1,007 employees used it for writing, editing & data analysis.
‣ Boosted productivity and satisfaction reported.
‣ Challenges: prompt issues, token limits, hallucinations.
‣ Focus on education for smoother healthcare adoption.
‣ 1,007 employees used it for writing, editing & data analysis.
‣ Boosted productivity and satisfaction reported.
‣ Challenges: prompt issues, token limits, hallucinations.
‣ Focus on education for smoother healthcare adoption.
December 3, 2024 at 1:24 PM
NYU Langone gave open access to GenAI to their staff. Results:
‣ 1,007 employees used it for writing, editing & data analysis.
‣ Boosted productivity and satisfaction reported.
‣ Challenges: prompt issues, token limits, hallucinations.
‣ Focus on education for smoother healthcare adoption.
‣ 1,007 employees used it for writing, editing & data analysis.
‣ Boosted productivity and satisfaction reported.
‣ Challenges: prompt issues, token limits, hallucinations.
‣ Focus on education for smoother healthcare adoption.