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Advanced Analytics

Our Methodology

innovation

Analytics-as-a-Service

Design user-centric data science solutions that cater to product owners, business analysts, and sales. Put complex predictive data modeling in place that enables top-notch decision-making. Transform and seamlessly manage data science projects using a bespoke technology stack.

innovation

ModelOps

Govern and manage the complete life cycle of AI models using DevOps and ML practices to operationalize the data pipelines with speed at scale. Using ML pipelines and CI/CD system automation, orchestrate continuous model training to facilitate building, testing, and deploying new data pipelines.

innovation

Computer Vision

Build augmented and automated vision-based solutions such as face recognition, image classification, object identification, gesture recognition, annotation, and labeling. Get recommendations on performing analyses based on deep learning to identify visual peculiarities in images.

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Text Analytics (NLP)

Integrate CloudCadre’s text analytics engine to implement NLP and augment the data platforms, applications, or products. Develop business insights from text compilations, better understand customer preferences via sentiment analysis, and drive value from knowledge management assets.

innovation

Conversational AI

Drive seamless engagements with a human touch using cognitive conversational capabilities. Automate text and voice-based conversations across agent helpdesks, corporate service bots, and customer self-service bots. Deliver a better customer experience by exploring the potential of the data for broader outreach.

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ML Migration and Modernization

Migrate or modernize models or model pipelines according to MLOps best practices, ensuring seamless integration with multiple cloud platforms. Productionize the models that exist in silos, maximize agility, and improve ROI by streamlining your machine learning initiatives.

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