The Emerging IoT Landscape
The scope of this report is very wide ranging. We have sought to address, at a high level, the broad spectrum of new issues and market and commercial dynamics that arise with the advent of the IoT. Historically, ‘data’ has been associated with defined applications and has existed within a relatively closed environment. For instance, a vibration alert on a production line machine may trigger an alarm on the machine’s control panel, but it would be unlikely that that same piece of information would directly influence some wider automated process. With the advent of the IoT, data takes on a new level of significance, including the availability of (near) real time streamed data that can be built into a wide range of IoT applications, the potential for unstructured data to be included within automated processes and the diversity of potential data sources that can be referenced by an IoT application. This report focusses on the implications of that transition.
Concepts covered in this report include machine learning, domains of influence, the life of data, edge processing, application agility, IoT service marketplaces, monetisation of data, and Trusted Third Parties.
Keywords: M2M, machine-to-machine, IoT, Internet of Things, Machine learning, Domains of Influence, DoI, Event Horizons, analyzing data, analysing data, managing data, edge processing, edge analytics, fog, cloud, platforms, IoT Service Marketplace, IoTSM, API, APIs, data monetization, data monetisation, Trusted Third Parties, Enterprise IoT, SLA monitoring, privacy, security, Subnets of Things, SoTs, sources, streams, lakes, distributed databases
Companies covered in this report: SeeControl, ThingWorx, GE, Samsung, Vodafone, IBM, Amazon, Eclipse, wot.io, C3 Energy, FedEx, BMW, McAfee, Google, Facebook, The Weather Company, Sigfox
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