This release includes new features and improvements based on feedback from our enterprise and community members.

Models

Introducing Model Registry

Introducing MarkovML's Model Registry to organize models in a folder-like structure, version them, and track production history. The lineage between model, data, experiments, and model evaluations makes debugging seamless when things do not go as expected.

Platform

Introducing Integrations - Slack

Any SaaS product needs integrations with several third-party tools, which consumers may like depending on their needs. A lot of enterprise folks use Slack ubiquitously. So, inside Settings, we are introducing Slack as our first integration.

As part of the current release, notifications related to a workspace (if Data Analysis is complete, a model app is successfully created, or someone mentioned you in Snippets/Reports) can be directed to a specific channel in a Slack workspace.

Datasets

1. Redesigned Dataset list page

Based on user feedback, we updated the Dataset list page to show more information about the registered dataset so users can easily find the right datasets for their use case.

2. A beautiful screen when dataset registration is complete

Our new interface displays ongoing processes like uploading or profiling during dataset registration. Users can also explore additional features, such as sample model apps and snippets, to understand the next steps while data analysis is in progress.

3. View list of runnings analyzers from Dataset Details page

We have made it convenient for users to find the status of long-running analyzer jobs. Users can now view the running task list and status directly from the Dataset Details page.

Several Bug Fixes and performance improvements

In addition, we have made several bug fixes and performance improvements to improve the overall user experience.