Custom Machine Learning MVP model on Microsoft Azure

Simform delivers custom machine learning solutions on Azure that demonstrate real‑world value with minimal friction. Customers benefit from a focused, outcome‑driven implementation experience.

Primary Objective: Develop and deploy a working ML model MVP for the selected use case, integrated with key data sources, and demonstrating real-world application. The use cases can be one of the below-

1. Image Detection
2. Recommendation Engine
3. Natural Language Processing
4. Anomaly Detection
5. Predictive Maintenance

Data Scope: Data dumps from upto 3 data sources, with 6–12 months of data for model training, validation, and performance evaluation.

Deliverables:

1. Custom ML Use Case Definition
2. ML Solution Architecture
3. Data Inventory & Preprocessing Plan
4. ML Ops Strategy (Overview)
5. AI Governance Overview
6. Implementation Roadmap