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

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

Author: Ronak Nathani, Guang Yang December 12, 2023 Duration: 1:01:47

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

 


Behind every line of code, there's a person with a story, and that's where Software Misadventures finds its pulse. Hosts Ronak Nathani and Guang Yang pull up a chair with engineers, founders, and investors, but the conversation rarely stays in the technical manual. Instead, it wanders into the human territory of career detours, hard-won insights, and those unpredictable stumbles that often teach the most. This podcast is built on the idea that the journey is just as important as the destination, especially in the fast-moving tech world. You'll hear guests recount the projects that went sideways, the decisions they'd rethink, and the moments of clarity that emerged from the chaos. It’s a refreshingly honest look at the industry, emphasizing that expertise isn't just about what you build, but what you learn when things don't go as planned. Tune in for conversations that are less about perfect solutions and more about the real, sometimes messy, process of creating with technology. Each episode offers a blend of professional wisdom and personal narrative, making it a compelling listen for anyone curious about the lives woven into our digital landscape.
Author: Language: English Episodes: 55

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