---
title: "Release Notes V1.22.0"
---

| Version      | 1.22.0             |
| ------------ | ------------------ |
| Release Date | July 21, 2023 |


## Data and Model Management

* Enhanced Experiments to enable use data from external sources.

* Moved Algorithm from Model Studio to Resources Module making it a generic analytical resource.


## Common

* Snapshots: Enhanced the change log by adding the following snapshot related capabilities:

    * Snapshot Preview: Allows users to view any past snapshot of an object.

    * Snapshot Restore: Undoes recent changes and reverts the object to a previous snapshot.

    * Copy Snapshot: Creates a new object using a copy of an object's past snapshot


* Monitoring Dashboard: This a new capability that allows users to monitor different aspects of the information and activity on the platform

    * The Activity dashboard tracks user activity (logins, logouts, session times, etc.)

    * The Governance dashboard tracks the governance statuses of all objects (Approval statuses, Reviews statuses, Review due dates, etc.) 

    * The Metrics dashboard tracks specific metrics for specific objects (AUC, Accuracy, Drift, etc. for models, Average, Variance, etc. for Data elements,..)

* Monitoring Alerts: Using the Monitoring Dashboard, Users can set conditions that can trigger alerts if met.

    * Alerts are defined by conditions and severity

    * Actions can be automatically taken if an alert triggers:
    
        * Send notifications, emails to specific users.

        * Initiate review requests.

 


* Custom Fields: Improved capability to enable additional field types, searchability and access control.

* Report Creation: Enabled easier access to object metadata to simplify report writing.

* Approval and Review Requests: Allow approval requests or review requests to be sent to anyone in the responsibility without naming a specific reviewer.

* Error messaging: Provide clearer errors when creating objects with create_data() command in the notebook. 


## Technical

*  Simplify Ability to run multiple corridor-workers on the same machine by specifying worker name and worker specific configurations.

    * Example use case: Run separate corridor-worker to execute “Fetch Columns”

* Multiple performance speedups for various APIs.


## Backward compatibility

* Worker queues updated with below changes:

    * apilocal renamed to api

    * celery split into two queues: spark and quick_spark

* Users without read access to all the precedent items to an object will not be able to export the artifact of the object.