Ideas

It should be possible to change the used analyses dependent on the version of an element. Currently the analyses are used across all element versions. For example I want to calculate the expected output of a machine. Starting on 01-Oct the machin...

Customer would like to have Sampled Data with Analysis Data Reference (periodic values output) without creating tags as output for the Analysis.

Considering that AF has latitude and longitude traits for elements and already supports files as attributes, would it be possible to provide basic GIS support? The file attribute could be used to store a shapefile, geoJson or GeoPackage, while th...

Users manipulate open event frames that are generated by the PI Analysis Service. The manipulation can be: 1) Write to an attribute on the EF 2) Write an annotation 3) Acknolwedge the EF When these manipulations are being performed the Event Fra...

the ability to rollup or sum event frame data for a month would be great!

Provide the functionality in AF analytics to get the nth event of an attribute before/after a certain point in time where n is a variable. In cases where n is small or fixed we can use the PrevEvent() or NextEvent() functions n times to do this, ...

Currently we do not have functionality to calculate a median over a set of tag archive values. For example a function such as TagMed('sinusoid', '*-2h', '*-30m') to return the median of that set of archive values.

Currently you have to type the attribute you wish to rollup by hand. Some of our customers have expressed interest in being able to select one attribute with the mouse rather than typing anything. Wildcard characters do work but some customers who...

Users have requested to have Event Frames split up based on a time range to more easily visualize the data and make reports. For example, if an Event Frame is triggered Monday at 4pm and closed on Wednesday at 6pm it would be nice to have 1 even...

It's important to have Anaconda python with Af to perform machine learning and it will be easy to implement those models to have maximum benifits combined with pi and machine learning