19 min
Machine Learning Applications: What We Can Learn from Healthcare Finance Enterprising Investor
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- Investimentos
Andrew Lo discusses his various fields of expertise and research with Anastasia Diakaki. Professor Lo's most recent work in healthcare finance, more timely than ever, serves as the starting point for a conversation covering the COVID-19 pandemic, machine learning applications in biopharma, artificial intelligence and the interpretability of machine learning results in the finance industry. When it comes to preparing for the future, we ask Andrew Lo: "Do we all need to become computer scientists?"
Topics discussed:
1:30 - Professor Lo’s philosophy and approach in health care finance sector
2:43 - Applications: what are the implications of these tools?
4:51 - Lo’s view on the pandemic and the acceleration of some processes
6:41 - Machine learning applications and health care
8:58 - Successes and improvements to algorithms in practice
10:57 - Computer science – the new life skill to have
13:24 - Machine learning algorithm used in the investment process
15:25 - Are your current students more comfortable with science skills?
16:55 - AI and human intelligence
Related articles and links:
CFA Institute members and charterholders Professional Learning Tracker https://cpd.cfainstitute.org/
____
► Subscribe to the Take 15 channel here https://www.youtube.com/channel/UCA3HUMuK4FSp_CvQH_2Ji7g
►Email us for comments, questions, or appearance requests:Take15podcast@cfainstitute.org
____
Find Andrew here:
LinkedIn: https://www.linkedin.com/in/andrewwlo/
Twitter: https://twitter.com/AndrewWLo?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor
Find Anastasia here:
LinkedIn: https://www.linkedin.com/in/anastasiadiakaki/?originalSubdomain=uk
Twitter: https://twitter.com/anastdiakaki
--
Find Lauren here:
LinkedIn: https://www.linkedin.com/in/lauren-foster/
Twitter: https://twitter.com/laurenfosternyc
--
Listen to us on:
Libsyn: http://take15audio.cfainstitute.libsynpro.com/
Spotify: https://open.spotify.com/show/4z0UYTI6B1pfSk5UrpCqFk?si=VzxBsKUWTme_D9PSk25r3g
Apple Podcast: https://podcasts.apple.com/us/podcast/take-15-podcast/id268942353
Andrew Lo discusses his various fields of expertise and research with Anastasia Diakaki. Professor Lo's most recent work in healthcare finance, more timely than ever, serves as the starting point for a conversation covering the COVID-19 pandemic, machine learning applications in biopharma, artificial intelligence and the interpretability of machine learning results in the finance industry. When it comes to preparing for the future, we ask Andrew Lo: "Do we all need to become computer scientists?"
Topics discussed:
1:30 - Professor Lo’s philosophy and approach in health care finance sector
2:43 - Applications: what are the implications of these tools?
4:51 - Lo’s view on the pandemic and the acceleration of some processes
6:41 - Machine learning applications and health care
8:58 - Successes and improvements to algorithms in practice
10:57 - Computer science – the new life skill to have
13:24 - Machine learning algorithm used in the investment process
15:25 - Are your current students more comfortable with science skills?
16:55 - AI and human intelligence
Related articles and links:
CFA Institute members and charterholders Professional Learning Tracker https://cpd.cfainstitute.org/
____
► Subscribe to the Take 15 channel here https://www.youtube.com/channel/UCA3HUMuK4FSp_CvQH_2Ji7g
►Email us for comments, questions, or appearance requests:Take15podcast@cfainstitute.org
____
Find Andrew here:
LinkedIn: https://www.linkedin.com/in/andrewwlo/
Twitter: https://twitter.com/AndrewWLo?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor
Find Anastasia here:
LinkedIn: https://www.linkedin.com/in/anastasiadiakaki/?originalSubdomain=uk
Twitter: https://twitter.com/anastdiakaki
--
Find Lauren here:
LinkedIn: https://www.linkedin.com/in/lauren-foster/
Twitter: https://twitter.com/laurenfosternyc
--
Listen to us on:
Libsyn: http://take15audio.cfainstitute.libsynpro.com/
Spotify: https://open.spotify.com/show/4z0UYTI6B1pfSk5UrpCqFk?si=VzxBsKUWTme_D9PSk25r3g
Apple Podcast: https://podcasts.apple.com/us/podcast/take-15-podcast/id268942353
19 min