Internet of Things

 

IoT is mainly about two things — using sensors to collect extra information and then channeling that to guide better decisions and actions. Still, “it’s important for businesses to ask what kind of information they would want from devices and what can be done with the information.

Of all the technology trends that are taking place right now, perhaps the biggest one is the Internet of Things; it’s the one that’s going to give us the most disruption as well as the most opportunity over the next five years. The Internet of Things revolves around increased machine-to-machine communication;

·         It’s built on cloud computing and networks of data-gathering sensors;

·         It’s mobile, virtual, and instantaneous connection; and they say it’s going to make everything in our lives from streetlights to seaports “smart.”

Making machines “smart,” is not strictly M2M, it is about sensors, which is not a machine. It doesn’t do anything in the same sense that a machine does. It measures, it evaluates; in short, it gathers data.

The Internet of Things really comes together with the connection of sensors and machines. That is to say, the real value that the Internet of Things creates is at the intersection of gathering data and leveraging it.  All the information gathered by all the sensors in the world isn’t worth very much if there isn’t an infrastructure in place to analyze it in real time.

Cloud-based applications are the key to using leveraged data. The Internet of Things doesn’t function without cloud-based applications to interpret and transmit the data coming from all these sensors. The cloud is what enables the apps to go to work for you anytime, anywhere. While sensors monitor and track all sorts of data; we have cloud-based apps translating that data into useful intelligence and transmitting it to machines on the ground, enabling mobile, real-time responses.

 

Implementation Approach

 IoT implementation requires skilled staff and complex integration of computer systems, software applications, networks, operating systems and the like. “IoT starts with sensors and ends with engaging either an enterprise consumer or a commercial-consumer, and appears to be simple”. It requires coordinating “different service providers, different manufacturers, all of whom have their own standards. There is a lot of complex architecture and technology involved.”

IoT will also drive the next level of digital adoption across consumer industries, manufacturing, supply chain and other areas. This in turn will result in operational excellence, new revenue models, enhanced employee engagement and a superior customer experience.

Step 1 – define the technology & organisational roadmap and identify a clear and realistic business outcome.

Step 2 – To conduct an IoT audit to establish IoT Maturity level & Gap Analysis.

·         Assessing the state of IoT systems, processes and technologies within the organization.

·         Identify & monitor devices that communicate

·         Capture real-time insights based on data

·         Identify the data connected to its enterprise systems, and so on

·         Map client’s current level of IoT maturity — or readiness level — and the level of technological skill needed to hit the business goals.

Step 3 - Construct gap bridging strategy

·         Estimate the required skilled staffing, technology, hardware, software, and integration know-how etc.

Step 4 - We start with a pilot - ideally, the pilot must show results within eight to 10 weeks.

Step 5 - Based on the outcome, we work with the company to decide on the next course of action

The ROI - IoT investments are required across the organization and need to be mapped to its level of readiness. It’s very important to have the technology and organization roadmap to fully realize the benefits of the investments. The best way is to do it piece by piece, prove each layer and then move forward.”

·         Level 1- The first level of investment, is directed to turn passive devices into active devices

·         Level 2 - The next level of investment manages these active devices   

·         Level 3 - Integrate the data from the devices to the organization’s enterprise systems

 

 

Examples;

Imagine for a hotel, the aim could be improving service rather than a product. Guest recognition might be a place to start. Based on the sensors in the hotel and connectivity through a guest’s mobile phone, the hotel would know when a particular guest arrives — even before he signs in. Thus, hotel staff could greet the guest by name as soon as he enters the building, thereby offering a more personalized customer experience.

 For a health care provider, the advantage might be remote diagnosis. This would entail getting the relevant patient information such as heart rate, calories burnt and blood pressure through a wearable device, sending this information to the doctor, and then sending an e-prescription from the doctor to the patient on a mobile device. This would result in faster diagnosis and better health management, especially if the remote diagnosis happens using real time data transmitted over long distances. 

 

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