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SAP Announces Development of New IoT Data Application Services

By Ken Briodagh November 10, 2016

SAP has introduced its SAP Internet of Things (IoT) Application Enablement solution. This SAP HANA Cloud Platform IoT service is designed to help customers and partners achieve fast time to value and develop IoT solutions more efficiently, the company said.

SAP IoT Application Enablement will provide Big Data management and services consumption without the need for managing the underlying data storage. It allows users to create an enhanced virtual representation of a product, service or process, combining sensor data, business data and contextual data.

“SAP IoT Application Enablement provides a powerful virtual model that shows how a thing will operate with real time data over its lifetime,” said Tanja Rueckert, EVP, Digital Assets and IoT, SAP. “It also delivers an IoT tailored development environment that promotes development efficiencies and provides a common foundation across all apps. Customers are now able to develop IoT solutions efficiently, with a reduction in errors and ultimately an increased time to market.”

With the IoT Application Enablement solution, SAP customers can create an enhanced digital twin of a business asset, combining sensor data with business information and contextual information, resulting in improved visibility and control. The new product includes three key classes of functionality: development environment and tools, microservices and smart data storage, and integration to business processes and applications. These microservices allow other systems to retrieve enriched digital twin data including business semantics, hierarchy data, product master data and customer contract documentation.

The new solution also provides a software development kit and development environment that includes code-generating templates, which allows developers to focus on design instead of coding, helping them create new applications in less time. Additionally, the product provides a robust application program interface to populate a sophisticated semantic data model with a combination of sensor and business data.




Edited by Stefania Viscusi

Editorial Director

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