Extract meaningful insights from text data collected over various customer interactions, social channels, and derive actionable insights
Does your organization deal with vast quantities of text data? Are you looking for an Azure-based solution to generate insights, but find yourself stuck on questions like:
1. Which Azure technology stack should we use?
2. How do we create and maintain pipelines for incremental updates?
3. How can we scale up/down when needed?
With over a decade’s experience in Azure technologies and text data, MAQ Software can help you answer those questions. During our two-week Proof of Concept service, our team will help you understand your text data and define end-to-end Azure pipelines and data flows.
We use an ML model to generate insights, making process execution automatic and reducing the effects of bias. Our team will also help you to identify how to operationalize the model with minimal effort and identify the right Azure product based on your scenario.
• Connect with data SMEs from your organization and understand the nature of the data
• Define problem statement for the use case
• Get necessary access to Azure subscriptions
• Implement use case with sample data in your subscription (this data stays with you)
• Undergo implementation review, demo, and testing
1. Detailed plan and architecture diagram of production setup, including estimates for:
a. Ingestion pipelines and data processing using ADF
b. Reusable Azure Databricks notebooks for data cleaning, model execution, and retraining
c. ML operation using Azure ML Service or serverless architecture: Azure functions, Azure Databricks, etc. (based on the use case)
2. POC code on Azure Databricks for the identified use case