Impact 2024: The Industrial Data and AI Conference for and by Users | Nominate Speakers Now for a Ch...
Hi Derek! Here is my attempt at answering your questions:CDF makes it easy for subject matter experts to access and understand complex industrial data from a diverse set of IT/OT/ET sources. One of the benefits of CDF is that it comes with a large and growing set of extractors (such as for OPC-UA, PI, SAP+++) and tooling for transformations and data enrichment or contextualization on ingest, making it easier to onboard data than for any other solution I’ve encountered. So there isn’t that much manual work. But there is some, so see the next answer as well. End user use-cases typically revolve around asset performance management, reducing turnaround time, executing field operations faster and doing faster root cause analysis or in performance optimization, such as using OT+deferments data to run an oil field more optimally to increase overall output by 1%. Also, we see that they get results from their investment far faster than with DIY projects.Do reach out if you have more follow-up q
Hi Anders,I agree with this need, and the clumsiness of the current dataset:read&write access scope. As you say, a team should be able to create their own data set without having privileges that would give them write access to all other datasets. A fix for this is to introduce a dataset:create scope, and which would allow users to create new datasets where they become the owner and gain read&write access to that particular dataset automatically. However, it does not solve the team challenge, where you would need to be able to add team members to a group with the same rights. Having group:write essentially gives full access to everything, so we cannot rely on that. I will loop in the appropriate product managers so they are aware of the problem.
This is definitely something we want to do in the next version of the CDF API and exposing it was one of my biggest mistakes.
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