We provide AI/ML services by enabling value extraction via machine learning while ensuring model reliability, explainability and no bias.
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.
Identify relationship and variables the model predicts.
Source, size, splits for training and test data.
Accuracy metrics, validation methodology.
Overall accuracy, segment differences, fairness considerations.
Indicators to monitor post-deployment, thresholds for re-evaluation.
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
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.
We architect modular components, use cloud-native frameworks, design hybrid models, and create parallel test environments allowing rapid iterations without production impacts.
We implement continuous feedback loops, automated monitoring triggers, and dedicated model retraining teams who proactively refresh models using new quality data.
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The exponential growth in data and computing power makes AI's pattern recognition capabilities much faster and more scalable. Our ML engineers stay ahead of new innovations.
We work closely with your teams in an Agile, iterate-as-you-go fashion tailored for enterprise environments to promote adoption across impacted teams and enable value delivery at scale.