Overview
Competencies & Capabilities
Deep expertise in data & analytics with capabilities in domains such as cloud engineering, DevOps, digital analytics, data lakes and data platforms, business intelligence, and visualization. We unleash agile analytics within enterprises where data is imprisoned in legacy platforms and infrastructure requires not just an IT transformation—but a data-first approach driven by an analytics partner.
Supply Chain Analytics – Plan, Source, Make, and Deliver. Use data insights to balance resources with requirements, establish relations for executing processes, and achieve real-time visibility across manufacturing processes with components of reliability engineering.
MLOps – MLOps unifies data collection, pre-processing, model training, evaluation, deployment, and retraining into a single process that teams work to maintain. It is an ML engineering culture that includes practices such as Continuous Integration, Continuous Delivery, Continuous Training, and Continuous Monitoring.