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Overview
Competencies & Capabilities
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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.
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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.
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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.
Solutions on Google Cloud
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AIDE is a digital optimization platform that helps detect and contextualize the issues faced by the visitor on the digital channel.
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Trial Run is a data-driven, cloud-based test management product used to test business ideas for sites and markets.
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Customer Genomics is a one-stop analytical solution for customer decisioning in an enterprise. It can be used to deliver marketing, sales and service use cases at speed and scale.
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Concordia is an AI and machine learning data mapping and harmonization platform that enables faster & automated data integration from multiple sources.
Google Cloud Services
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Google Cloud Analytics
Google Cloud
ML & ML APIs
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Data processing
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