|ML Works SaaS Offering|
MLOps addresses the challenges with model and data drift, and ensures that, through monitoring, AI/ML models stay relevant. Tredence’s accelerator, MLWorks, natively integrates with Microsoft Azure Solutions and products, ensuring scalability and efficiency, to enable organizations of any size to deliver machine learning model deployment, monitoring and testing capabilities.
Distinguishing feature of MLWorks are-
Visual Provenance graph - An end to end model visibility and pipeline traceability, allowing easy troubleshooting of production issues and root cause analysis.
Persona Based Dashboards-Relevant metrics for Business users, Data scientists, ML engineers/Data engineers, with a persona-based monitoring journey to meet specific use cases of all personas.
Model and Data Drift Analysis-Analysis of data and model drift (Overall and feature level) with auto-triggered alerts, enabling continuous monitoring into performance of production models.
Lineage Tracking-Provenance review from dashboard metrics all the way back to base models, ensuring full visibility into model operations, along with training data.
Governance and Support-Centralized access control, traceability, and audit logs to manage multiple user personas & ensure regulatory compliance across platforms, as well as maintenance and uptime governance through an SLA driven response and resolution process.
Platform Agnostic Advisory and Development-Cross platform and open source setup and support models to deliver myriad business requirements.
Data Scientist- Statistical insights about the model health, performance and algorithm level details
Business User- Understand different business problems and define specifications for data engineers
Data Engineer- Insights into system performance and identification of scope for improving the SLA & reducing the downtime
In Trial version, only Drift and Explainibility features are available for a 30 day trial period, with 100k rows of record limitation per run