Digital Twin IoT: 4-week Proof of Concept

We offer a fully managed IoT-enabled Digital Twin, leveraging over 250 neural network models, specifically designed to monitor well health, performance metrics, and productivity indicators.

Key Features:

Expert Azure Managed Services: Our team employs Azure ML pipelines for automated data cleaning, ensuring your data is imputed, compressed, and transformed at a 5-minute cadence.

Automated Trend Generation: Windows are generated on transformed data using heuristic rules and trends are fit on the generated windows using Neural Network models.

Anomaly Detection and Alerts: Anomalies are detected using the trends generated, and users are notified through an email if a threshold is reached.

Interface to assign trends and label anomalies: Users can assign the reference trend, provide tolerance, update heuristics of data cleaning, window generation pipelines, validate the model detected anomalies and provide user labels to them

Sample Outcomes:

Minimized Event Detection Time: From 2 weeks to 5 minutes

Increased Data Integrity: Data volume reduced from 5 Terabytes to 70 Gigabytes

Reduced Maintenance Costs: Over $40M per field, approximately $180M annually

Why Mu Sigma?:

 Mu Sigma’s proprietary Art of Problem Solving (AoPS)TM approach helps businesses:       Define the current state and desired future state; and existing gaps in a consistent, structured manner by asking the right questions.  

Connect the vision to an execution plan, and align all stakeholders, enabling businesses to move from MVP to robust transformation.   

Represent and explore the interconnected nature of business problems.   

Efficiently track progress from problem definition to consumption/transformation.   

  About Us: 

Mu Sigma is the world’s largest pure-play big data analytics and decision sciences company. Through our Art of Problem-Solving, we strive to scale and systematize better decision-making through business intelligent services. Mu Sigma works across the entire D3 stack (data sciences, data engineering, and decision sciences) with Fortune 1000 companies across the world, including 140+ Fortune 500 companies.    

To know more, visit https://www.mu-sigma.com/