Whitepaper: IoT data validation
IoT infrastructure allows to capture of meaningful data and further enables innovative business models and opportunities. But how to validate the data?
Innovate your business model with IoT
IoT is one of the key technologies in today’s digital revolution. Connected devices, coupled with advances in AI, big data, and analytics, are driving new use cases across industries where IoT is helping enhance the end-user experience, create new business models, and improve operations and business planning.
IoT infrastructure allows to capture of meaningful data and further enables innovative business models and opportunities. Enterprises are building variously connected and smart IoT applications to help improve efficiencies and deliver customer value across the full range of consumer and business-to-business scenarios.
In this whitepaper, we will discuss major challenges in IoT data validation, the Data Validation Stages, and lastly the Values & Services which will be enabled from basic validation to advanced validation. We will also discuss the integration and use of modern tools like AI, Advance statistics, Machine learning for data validation services such as Schema Validation, Data Visualization, Anomaly detection, Traceability, etc. to cover different sizes of companies.
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