AI & Machine Learning

Our AI & ML services help organizations to develop custom solutions based on proprietary or open-source algorithms/frameworks that process data and run sophisticated algorithms on Cloud and Edge.

Solving real world business problems using Machine Learning & AI

Quinnox strongly believe’s in nurturing a ‘Data Culture’ and using this data to drive insights to propel your digital transformation decisions. Many businesses rely on Machine Learning to derive patterns from data, predicting customer behavior, taking decisions and performing actions without human interventions. Quinnox Artificial Intelligence (AI) and Machine Learn- ing (ML) services helps organizations to develop custom solutions based on proprietary or open source algorithms / frameworks that process data and run sophisticated algorithms on Cloud and Edge. This enables faster decision making, increased productivity, business process automation, and faster anomaly detection.

Our Machine Learning Services

Model Building, Training & Validation

Our team can create a Machine Learning Model based on your business requirements. We can build and train models using supervised (classification & regression-based), unsupervised (clustering & association based) and reinforcement (re-action to an environment based) learning.

Model Optimization

We optimize the model for maximum accuracy. For optimization, we use hy- per-parameter tuning, gradient de- scent, SGD, ensemble, and many more processes, to derive the best outcomes from the model.

Model Deployment

Deploying models is the key to making them useful. Our team will help deploy and serve models in a structured way on the cloud using platforms like Ten- sorFlow, Michelangelo, Amazon ML, Open CV, etc.

Model Testing

Unlike traditional soware that is pre-determined based on dierent inputs, ML models need continuous quality assurance. Our team of quality experts help in testing ML models from time-to-time by assuring the quality of data (used for training the model), fea- tures and ML algorithms for accurate model performance.