Can we train and deploy CUSTOM machine learning model in Servicenow?

[Sharique Azim]

Hi All,

Recently i found some posts where people have deployed custom logic and machine learning(ML) models in servicenow using AWS cloud services(AWS lambda) which is implemented on REST API architecture ServiceNow - Machine Learning. I have also gone through the post where Tensorflow.js has been integrated with servicenow to predict results in browser. TensorFlow.JS (Prediction)+ ServiceNow . Thanks to both of you for your work.

Now  my question is:

1.Can we deploy and train on our own custom ML models on custom table, without using any REST API to any cloud service?

2.If yes, then can we use the same  to  save the predictions in some table and call it from the browser/client using some UI script or script include?

3.If we cannot train on our  custom models ,then how can we load/use the trained data  set into servicenow, such as to call from UI script or script includes.

Please note, we would be using this in either UI page or service portal.

Any help would be highly appreciated.

Regards,

Shariq

[Sharique Azim]

No issues, something new to learn.

[Christopher Pei]

Hi Chuck, 

Would the use of a REST API to call on a prediction from AWS classify as a customization? 

Thanks

[Deepak Ingale1]

Hi Shariq,

Did you go through Agent Intelligence?

[Laurent5]

As far as I am aware, it is not possible to create custom models for Agent Intelligence (Predictive Intelligence). It builds its model on a separate infrastructure and selects the best algorithm but it is not tunable by the end user. Maybe a future release will bring additional level of control. Otherwise as you said you need to use an 3rd party framework and export your data (for training) and then use APIs to access the model.

[Deeptirmayee Pr]

Hi .

Do the updated release allow to create custom models for Agent Intelligence