Incorporating IoT into your organisational network is all about the ability to collect, analyse and make decisions on the right data, from the right sources, using the right infrastructure. The process is far from simple, but worthwhile for its compelling benefits.
Collecting massive amounts of data from various devices and sensors is futile without a proper data management and operational strategy in place – and the underlying infrastructure to match this strategy.
As much as IoT integration is a disruptive change for organisations and in some respect still in its infancy, having the correct foundation in place – cloud computing and multi-layered open networking architecture – enables a smooth transition.
Developing the right architecture foundation for IoT is mandatory. Comprehensive data capture, aggregation and integration with core business systems, analysis, storage, protection and security are all critical variables in IoT architectures.
For example, data processing in edge devices is becoming a growing component to turn collected data into actionable intelligent insights into the organisation. Processing data at the edge speeds up communication and eliminates delays when data moves between wide area networks (WAN) and the cloud.
A successful IoT implementation relies on interlinking data at the edge, in the cloud, and on-premises data centres. A constant stream of agile and actionable data is key, therefore building agility into your core business processes does provide an advantage.
There is no doubt that IoT adoption is a complex matter for most organisations, requiring an agile approach to scale operations quickly when needed and support the addition of new emerging technologies and accelerated change.
An open and scalable digital architecture foundation enables companies to accelerate digital transformation and create agile processes with core technologies in mind that leverage multiple data sources – multi-cloud environments, interconnected devices, IoT, ML, AI.
This type of networking architecture can support the growth of AI-powered data analytics platforms for the enterprise market, the exponential rise of the IoT ecosystem – set to top $15 trillion by 2025 – as well as the ever-changing requirements for cloud scalability, data processing and multi-tiered enterprise security operations.
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