AI/ML
Overview
We provide AI/ML services by enabling value extraction via machine learning while ensuring model reliability, explainability and no bias.
What you will get :
- Custom ML models for specific needs
- AI strategy and roadmapping
- Data engineering and preparations
- Responsible AI guidelines
- Deployment and integrations
We build adaptable AI/ML systems ready for rapid change. Our machine learning engineers utilize the latest techniques to create accurate models that continue delivering value as your business needs evolve.
01
Hypothesis and Variables
Identify relationship and variables the model predicts.
02
Data Collection
Source, size, splits for training and test data.
03
Evaluation Parameters
Accuracy metrics, validation methodology.
04
Accuracy and Fairness
Overall accuracy, segment differences, fairness considerations.
05
Monitoring Thresholds
Indicators to monitor post-deployment, thresholds for re-evaluation.
06
Reporting
Frequency of model performance reports, contents and distribution of reports, frameworks that guide reporting methodology.
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DevSecOps
Application Testing
DevSecOps
Application Testing
general question
We provide a myriad of services and know getting the right support is overwhelming. Sourcing our frequently asked questions, we want to help and provide you with the service that is right for you.