In this episode of the SuperDataScience Podcast, I chat with the Business Development Specialist at Velocity Group, Anna Foard who have built an amazing data science career in very short time, besides being a mother of two children. You will hear how she is challenging and conquering the field of Data Science from many different perspectives. You will learn ... Show More
Yesterday
987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv
Linda Haviv talks to Jon Krohn about staying current on AI matters, why open-source technology is narrowing the gap in its race with proprietary models, and how being a content creator in tech is key to career growth and longevity. She emphasizes that non-linear pathways to a car ... Show More
1h 17m
Apr 24
986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems (QMS) help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about ... Show More
29m 43s
Apr 21
985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake
Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days ... Show More
1h 4m
Feb 2023
Better Science Volume 2: Maps, Metadata, and the Pyramid
Jump in on a second episode of the Better Science series with guest host and Technical Evangelist Justin Emerson interviewing FlashArray engineer Feng Wang about how Pure maps data at scale with a single, scalable data structure. Managing storage in modern times requires a strate ... Show More
46m 3s
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
<p>The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ... Show More
39m 32s