SAP launches Leonardo IoT tools, digital business services

SAP stepped up its efforts to integrate Internet of things sensor data with its analytics tools and then connect them to the iOS apps created via a partnership with Apple and development tools

As part of its SAP Leonardo digital innovation efforts, SAP integrated IoT tools for logistics, manufacturing and assets into its broader ecosystem and cloud platform. About a year ago, SAP outlined its plans to invest in IoT. The company launched the following:

• SAP Leonardo IoT Bridge, which is a dashboard and management tool for visibility into IoT data.
• Global Track and Trace, a cloud service for tracking, monitoring and reporting across the supply chain.
• Leonardo IoT Edge, which ties business processes to edge devices in the field.
• Digital Manufacturing Insights, a cloud manufacturing performance management tool, and Asset Manager, a mobile app for tracking asset health, inventory, maintenance and safety.

These IoT-based systems will connect to SAP's broader software for various industries as well as SA S/4HANA. SAP also said that SAP Asset Manager will support an iOS app. Other apps will combine SAP Leonardo IoT tools with iOS mobile apps for asset intelligence and predictive maintenance and service.

Also: SAP sends Leonardo digital innovation system into full swing | SAP's Cloud Platform adds multi-cloud support, business semantics | SAP plots more integrations with Google Cloud Platform | SAP's Plattner wants to work with Apple to build voice recognition

In addition, SAP said it will extend its SAP Leonardo IoT tools to developers via SAP Build and new Cloud Foundry packages for SAP Cloud Platform. SAP will also provide industry-specific accelerator packages for the chemical industry, travel and transportation and utilities. SAP also added services to counsel businesses on digital innovation.

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• Cybersecurity in an IoT and mobile world: The key trends
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• Enterprise IoT in 2017: The state of play
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• How to secure your IoT deployment in 10 steps
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• Transforming the agriculture industry using IoT and predictive analytics
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