Automating away your job as a Data Scientist | Melissa Runfeldt (Salesforce, CueIn)

Software Misadventures

Content provided by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang 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.

7M ago 1:01:47

MP3•Episode home

Before joining CueIn last year as a Founding Data Scientist, Melissa was a Lead Data Scientist at Salesforce working on the Einstein Platform that focused on automating Data Science workflows. In this conversation we dive into Melissa’s unique journey, what to do in the face of increasing job automation and explore the latest developments in practical AI.

Segments:

[00:02:13] Melissa’s background in computational neuroscience

[00:06:08] 7 years at Salesforce vs startup

[00:11:31] Joining CueIn

[00:19:30] Chatbot observability

[00:28:16] Feedback loops

[00:33:10] Use LLM to observe.. LLMs?

[00:39:06] AI automating jobs

[00:43:01] Doing ML in 2017 vs now

[00:50:35] Few shot learning, Hugging Face

Show Notes:

Melissa’s Linkedin: https://www.linkedin.com/in/melissajanerunfeldt/

Stay in touch:

👋 Let us know who we should talk to next! hello@softwaremisadventures.com

47 episodes

#Tech #Guang Yang #Ronak Nathani #Distributedsystems #Softwareengineering #Technology #Ronak Nathani, Guang Yang #DevOps #SRE