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Data Ingestion as a Service (DIaaS)
Qi’s Data Ingestion as a Service (DIaaS) facilitates multi-modal data collection from IoT devices and other sources and processes historical and real-time data into structured data. Qi’s highly scalable DIaaS automates the data ingestion process and eliminates data inaccuracy to feed validated data to the data pipeline.


Machine Learning as a Service (MLaaS)
Qi’s Machine Learning as a Service (MLaaS) is an enterprise-grade solution to empower data scientists to build, deploy, manage, and monitor models for unsupervised learning supporting end-to-end machine learning lifecycle. MLaaS automatically constructs workflows for the processes using integrated tools and open-source frameworks and provides insights at scale.
Master Data Management as a Service (MDMaaS)
Qi’s Master Data Management as a Service (MDMaaS)organizes real-time data collected from various sources and data insights from machine learning models, assigning data labels, and storing them in a secured environment. MDMaaS makes data easily accessible to users.


Data Visualization as a Service (DVIZaaS)
Qi’s Data Visualization as a Service (DVIZaaS) provides custom-built and intuitive visualizations enabling enterprises to access reports and insights from multiple sources from a single dashboard. Accurate and actionable insights at the fingertips help teams make faster and more intelligent decisions.