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AI as a Service
Multiple mundane, repetitive tasks consuming more time and bandwidth
Identifying the right selling point through a large volume of data
24x7 production & support availability
Quality inconsistency
End-to-End AI / ML Process Capabilities
Data Engineering
• Data Requirements Definition • Collecting, Labelling & Cleaning Data • Data Transformation • Data Querying
Data Modelling
• Feature Engineering • Training ML Models • Model Building • Model Evaluation • Hyper Parameters Tuning Dimensionality Reduction
Models Deployment
• Building Production Grade Code • Cloud Setup • API’s Building • Retraining ML Models • Fitting Models on Resource Constrained Devices
Data Visualisation
• Building Dashboards for Business Intelligence
Business / Domain Analysis
• Understanding Business Objectives • Analyzing Data Sets for Statistics • Identifying Relevant Features for Model Building • Presentation of Results – Data Storytelling
Why Us?
Improved Production Performance
Rapid, Data Driven Decisions
Reduce Manufacturing Operations Cost
Reduce lead time for Root Cause Analysis of Manufacturing Quality Issues
Improve Sales Revenue
Increased Uptime of the Vehicle