We have been very thoughtful to build as flexible a framework as possible to support all those various use cases you said (not only in our user interface but also our API). We want to give end-users across the continuum of use cases the tools they need to be able to make Epsilon3 as useful for them as possible.
We have a ton of ideas on applying ML on our side for exactly those use cases you described (metrics, analysis, reporting) but also for anomaly detection, error handling/risk reduction, and continuous improvement.
We have our job openings posted at https://angel.co/epsilon3/. We're always on the lookout for strong full-stack software engineers.
We have been very thoughtful to build as flexible a framework as possible to support all those various use cases you said (not only in our user interface but also our API). We want to give end-users across the continuum of use cases the tools they need to be able to make Epsilon3 as useful for them as possible.
We have a ton of ideas on applying ML on our side for exactly those use cases you described (metrics, analysis, reporting) but also for anomaly detection, error handling/risk reduction, and continuous improvement.
We have our job openings posted at https://angel.co/epsilon3/. We're always on the lookout for strong full-stack software engineers.