#application enablement platform

The IoT opens up various new revenue models & changes how organizations interact with consumers. Due to the ever-changing technology environment, all new worthwhile solutions have to be built quickly & affordably with usability & scale in mind. Building out apps & infrastructure needed to accomplish this is doable in-house but needs important investments from IT, operations, & engineering. There is the well-organized path. An Application Enablement Platform (AEP) can assist to provide a clear vision to the successful IoT solution. There are various certain components that every IoT solution requires: visualizations, device management, a rules engine, etc. Offering these vital components is the major reason AEPs exist. Teams are adopting AEPs more & more to solve most of the foundational obstacles which are intrinsic when building the scalable IoT applications.

AEPs Are Extensible

In this modern world of enterprise software, the extensible IoT connectivity platforms differentiate themselves from their peers by being open to the new functionality. For example, there are various start-ups & no few large conglomerates thrive on open-source software which they can modify & expand. The extensibility facilitates straightforward creation of entirely new enterprise systems. Fortunately, AEPs take their cues from much-beloved cloud platforms which dominate today’s business world. The ability of IoT application platform to run an array of custom software & support diverse sensor hardware makes it possible to tackle various unique procedures and problems that defy conventional solutions. And, this makes AEPs a presence to be reckoned with in fields like manufacturing, smart city design, & precision farming.

AEPs Power Custom Workflows

One of the common mistaken beliefs about IoT solutions is that all it does is sense things. Although this might be true of the mechanical, electrical, chemical, & other integrated circuits which power them, IoT sensors are thinking machines which can perform to elaborate the logical tasks. And, this complexity is the basic necessity as IoT sensors require being able to handle all chores like parsing network communications. AEP-powered IoT is like the hammer which can magically transform itself into screwdriver on demand.

AEPs Are Self-observant

Everyone knows that process monitoring is integral for the success, and IoT connectivity platform is nothing if not great at providing awareness. Clinical healthcare enterprises can use occupancy-tracking devices to compute their patient wait times & improve their services. Smart city leaders can use various environment-monitoring IoT deployments to learn how different traffic routing patterns may impact air quality at certain times of the day. Application enablement platform can readily oversee the business processes, like building energy use or clinical caregiver activities. They are also configured to monitor their own operations. It is simple to improve IoT deployments built on the uniform AEPs which monitor basics such as network performance & sensor connectivity.

Internet of Things connectivity management — the way you connect devices & sensors to your data processing module is the major IoT challenges. As each business case has its own goals, each Internet of Things system has its own needs, including the needs to connectivity in terms of range, data throughput, latency, etc.

IoT applications are emerging in various verticals or application enablement platforms. Connected cars are already being provided by numerous automotive players, while other smart solutions & services are being developed, such as connected factories & smart agriculture. As early IoT adopters, various telecom operators are, together with other IoT ecosystem partners, already providing smart services beyond the mobile broadband connectivity. Global IoT connectivity is the key enabler of digital business transformation. Timely & controlled access to data insights offered by the connected devices & sensors enables the creation of new processes, products & business models. This leads to informed business decisions.

Before choosing Internet of Things connectivity options

Internet of Things connectivity management services varies in range, power consumption, reliability, cost, bandwidth, & scalability capabilities. Various options need a specific environment, for instance, closed space with little electromagnetic interference, & is completely useless in other environments such as underground or outdoors. To choose the right option for an IoT connectivity management platform, these things should be taken into consideration –

The area of coverage –In other words, how far the device or sensor can be installed or move & still be able to constantly send data to the processing module. This range can be small a few inches in case of the access card and as far as a few miles in case of the agricultural drone.

Battery consumption –

There are various IoT devices that are constantly plugged and have direct access to the charging station. Others are scattered around the wide-area, for instance, soil sensors in the field, & need to have a reliable nearly life-long battery solution to be able to constantly send portions of data without the need of battery replacement.

Cost –

Cost depends on several factors. Mainly, it is the volume of data, service provider & the number of devices or area served.

Bandwidth –

In the IoT system, bandwidth implies the volume of data which can be sent between modules, for instance, a sensor & cloud storage. There are various IoT connectivity platforms that provide very high bandwidth, for instance, WiFi, & those which allow sending a small fraction of data frequently.

Existing infrastructure –

When designing the IoT system, take into consideration the existing infrastructure that it will sit in and, where it is possible, align the choice of IoT connectivity platform accordingly.