SUMMARY: What does a Forward-Deployed Engineer actually do? And what about deploying AI Harness? Let’s dig into the real-world with these evolving AI concepts and technologies.
SHOW: 1039
SHOW TRANSCRIPT: The Enterprise AI Show #1039 Transcript
SHOW VIDEO: https://youtu.be/QY0fqu2O84M
SHOW SPONSORS:
- OutShift by Cisco - “Scaling Out Superintelligence” The Internet of Cognition architecture
- ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
- Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
- Mozilla Thunderbolt launched
- Mozilla Thunderbolt (homepage)
Topic 1 - Welcome to the show, tell us a bit about your background and what you focus on these days.
Topic 2 - Let’s talk about the role of Forward Deployed Engineer, it’s being talked about a lot, but you’re living in that world now. What problems are FDEs usually tasked with trying to solve, or new things to implement?
Topic 3 - We’ve seen other roles (DevOps, PlatformEng, etc.) that evolved from other roles or skills. What type of background lends itself to success in FDE? What skills are needed going forward?
Topic 4 - You’re also working on some AI harness implementations. What can you tell us about those challenges and the technologies behind the harness?
Topic 5 - At what point does an AI harness make sense for a company? What types of AI challenges typically require those next steps?
Topic 6 - Working in the middle of this evolving AI space, what are some perspectives you’ve gained over the last 6-12 months? What do you wish you knew ahead of time?
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