TENTANG EPISODE INI
In our latest episode of Data Bytes, we were honored to host Shinji Kim, a multifaceted leader in the technology industry and the Founder & CEO of Select Star. With a wealth of experience that spans multiple roles, from startup advising to product management, and academic backgrounds from renowned institutions like the University of Waterloo and Stanford University, Shinji is a wellspring of knowledge on data discovery and management.
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CARI EPISODE TERDAHULU
Cari episode sebelumnya dari Data Bytes.
EPISODE LAIN DALAM PODCAST INI
Join us for an insightful episode of the Data Bytes Podcast featuring Gaia Bellone, Chief Data Scientist at Prudential Financial. Gaia's illustrious career spans roles such as Senior Vice President at KeyBank and Executive Director at Chase, highlighting her expertise in data science and AI.
In…
Data Bytes listeners get an exclusive discount to join Women in Data. View discount here.
Catie introduction (00:00:56)
Research discussion (00:01:21)
Human-robot interaction (00:02:24)
Choreo robotics (00:03:16)
Dance background (00:03:41)
Movement and emotion (00:04:29)
Robot design…
Data Bytes listeners get an exclusive discount to join Women in Data. View discount here.
(00:00:00) Gen AI benefits discussed.
(00:00:18) Peggy Tsai introduction.
(00:01:06) Data leadership conversation starts.
(00:01:39) Challenges for data officers.
(00:02:20) AI compliance and regulat…
Data Bytes listeners get an exclusive discount to join Women in Data. View discount here.
(00:00:00) Intro(00:00:20) AI in Hiring(00:00:37) Bias in Automation(00:01:04) Welcome to Podcast(00:01:09) Guest Introduction(00:01:16) Journalism to AI(00:01:26) First Encounter with AI(00:02:10) Job…
Data Bytes listeners get an exclusive discount to join Women in Data. View discount here.
(00:00:00) - Creating a course with AI
(00:00:35) - Welcome Dr. Jon Krohn
(00:01:58) - AI's impact on teaching
(00:02:33) - Updating Jupyter notebooks
(00:03:10) - Using Claude 3 Opus
(00:04:13) - F…
Sanggahan: Podcast dan karya seni yang disematkan pada halaman ini berasal dari Women in Data, yang merupakan milik pemiliknya dan tidak berafiliasi atau didukung oleh Listen Notes, Inc.
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