Artificial Intelligence (AI) and Machine Learning (ML) have been key focus areas for us. Our 4-week implementation will provide an overview of Microsoft’s data analytics and ML platform. Our team will evaluate your current business needs, help you choose the right Azure resources, and analyze key metrics to develop an ML model customized to your scenario.

The ML model will be built on the Azure Databricks platform using Python. We will also showcase the insights you will receive with Microsoft Power BI reports.

Target Audience

Project Managers
Architects
IT Business Heads
Technical Solution Leads

Agenda

Week 1

Analysis

Understand the business and forecasting requirements.
Understand key metrics and any dependent parameters and data points.
Study the business domain and perform industry research on key metrics.
Understand the current architecture to suggest the best Azure service for this engagement.

Week 2

Platform Setup

Study the current data ingestion methods, sources, and storage methods.
Work with your team to set up a data ingestion and storage platform.
Onboard data with all the essential metrics and dependent variables.
Cleanse the data and build the dataset.

Week 3

Metric Analysis

Perform seasonality analysis and dependent variable analysis of key metrics.
Provide observations and key inferences from the analysis.

Week 4

Modeling

Build and train the model using various combinations of data.
Visualize the data and verify the results of the model build.

Visualization and Roadmap

Create a roadmap based on the data and insights generated by the model.
Build 1–2 Power BI views using the key generated insights.

Deliverables

Overview of Azure Data and AI with Power BI capabilities
Setup of the Azure platform to onboard data
Forecasting model
Insights on key metrics
1-2 Power BI views

Takeaways

ML Solution with Azure Cloud architecture that accurately forecasts key business metrics

**Contact Us"

Interested in implementing forecasting with machine learning? Connect with us at Sales@maqsoftware.com for insights on our 4-week model implementation.

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