60% reduction in the overall storage costs
Overview
Worked with a Fortune 20 Telecom provider to set up their MLOps platform to operationalize activities across the MDLC pipeline
Worked with a Fortune 20 Telecom provider to set-up their MLOPs platform to operationalize activities across the MDLC pipeline
Components built as part of the engagement included:
Feature Factory
Model Monitoring
Model Registry
Leveraged open-source components to build accelerators and frameworks for scaled operations
Expected business impact
- <10% Mean Absolute Prediction Error (MAPE) across all sites
- $100M incremental revenue driven through website improvements
- 21% improvement in digital self-serve rate
- 400% improvement in Campaign response & purchase rates
Leveraged open-source components to build accelerators and frameworks for scaled operations
Priority capabilities
- Marketing spend optimization
- Call sentiment
- Agent performance score card
- Competitive store performance
- Marketing spend optimization
- Demand and inventory health at store * SKU level
Success stories
Enhancing customer experience managment by bringing together AI, Engineering, and Design
Understand and predict key drivers of customer satisfaction
Targeted In-house Solutions
Google cloud services
BigQuery
Compute Engine
Cloud Storage
Cloud Composer
Cloud SQL
AI Platform Notebook
Success Stories
CMLOPs platform built leveraging open-source components on Google Cloud platform
Fractal has successfully helped customers get value out of their existing data by surfacing the right use cases and operationalizing ML at scale. These engagements provide data scientists and ML engineers an end-to-end machine learning platform with tools, templates, and services to build, train, serve, and manage models using Vertex AI in conjunction with other Google Cloud services and/or on-premises environments. Solutions also provide pre-built APIs to allow easy integration of ML into applications for common use cases (vertical and horizontal).
