Template based approach to Operationalize AI/ML Models @Scale & @Pace
Unified AI/ML model monitoring application to invigorate the model performance & business value
AInA Model Ops Templates
- End-to-end reusable model operationalization templates
- Easy integration with Azure, AWS, GCP & Snowflake platforms
Benefit: Quick & scalable integration along the data platform for holistic Model Ops.
M-AINA-Model Monitoring App
- Centralized views of all the models in production
- Key metrics in a snapshot for-model health, data drift and service health
Benefit: Model monitoring across key parameters with ease.
AI Engineering templates for Customer Analytics
- End-to-end customer analytics templates using Model Ops
- In-built statistical models having Segmentation, Churn, CLTV, Cross Sell, etc.
Benefit: Pre-built utility to fast-track the value realization across customer analytics.
Model Testing Framework
- AI/ML model testing framework with in-built utilities
- Easy integration with Azure, AWS, GCP and Snowflake data platforms
Benefit: Invigorate the model lifecycle and feedback mechanism across models.
- Holistic AI engineering framework model
- In-built templates to operationalize, monitor, govern & test
Benefit: End-to-end framework having holistic AI strategy @Scale
- Comprehensive no-code/low-code AI platform
- In-built feature for operationalization of ML models @ scale
Benefit: Product experience and expertise to jumpstart your AI journey.