Full Momentum Episode 33: The Future of leveraging HEC-RAS with Automation and AI

(00:00) Introduction, (0:35) Special Guest Introduction, (1:00) Introduce the Main Topic- The Future of leveraging HEC-RAS with Automation and AI (3:20) Quests Introduce Themselves & Their Expertise (10:15) Hydro School/Australian Water School Opportunities to Learn More (15:00) Primary Topic Discussion (1:10:20) What has not worked in Chat GPT (1:20:20) Closing
Open-source libraries/frameworks mentioned:
Dask Distributed- • Dask Dashboard walkthr...
plotly.com/pyt...
render.com/
react.dev/
fastapi.tiango...
www.mongodb.co...
geopandas.org/...
corteva.github...
rasterio.readt...
docs.qgis.org/...
HEC-RAS LIVE: September 10th - 12th kleinschmidtgr...
Next HEC-RAS Webinar Series: October 9th -November 13th kleinschmidtgr...
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Thank to our sponsor for this episode Kleinschmidt Group! Visit our website at: www.kleinschmi...

[@ryantroy7171]

1:17:30 This has been my experience with AI assisted models. A lot of the early adopters are typically junior engineers who still need to hone their hydraulic modeling fundamentals that need to keep in mind some of the "commandments" from the previous episode. Good discussion!

[@matthewshakerian685]

What a podcast! Thanks. I did a monte carlo analysis for a dam breach project by chatgpt and it took it a minute to run 10000 simulations.

[@civilenggggg]

Sean lied, he stole Chris' book from me

[@seanmicek7347]

😂

[@civilenggggg]

@@seanmicek7347 Good to hear from you the other day and nice work on the presentation