Recall from Energy in Data @Austin event back in February 2022, one of the identified challenges from the roundtable discussion is "working with diverse data collections". If "80% time spent collecting, 20% or less analyzing" sounds familiar, we share that pain too.

It is to this pain that the idea of "zero downtime data to analytics" was conceived.

CAUTION - please note this is not a commercial, only serves as work in progress of one startup's effort toward tackling the many data challenges we face each and everyday.

As a business, we have listed the data analytics product in the Snowflake Marketplace, serving up complete granular access to oil and gas production, emission and geothermal data all linked to a unique well ID number.

https://www.snowflake.com...r-data-science-paid/

It is a small baby step. The ultimate goal is all relevant geolocated energy data can be fetched and combined in one query to help make prudent decisions to address energy transition front and center.

To get there, we appreciate reality check (whether to deploy limited resources), with your help:

Q1: as a perspective focus group, will that add value to, or extract more insights out of, your work?
Q2: will you pay for "no download no wait time" to experiment with ML Model Zoo (from last post - https://www.aapg.org/care.../aft/608/groupid/979 )?

Thanks in advance for your comments.