THE INTERNET OF THINGS: NOT JUST A TECH PROJECT
THE Internet of Things is here to stay as a range of connected devices become mainstream in our work and business lives.
According to forecasts from Gartner, a leading research and advisory company, this year will end with around 8.4 billion connected things in use worldwide, a number that will grow to around 20.4 billion by 2020.
Yet the concept of the Internet of Things (IOT) remains misunderstood.
The technology industry is on a drive to connect everything from electric toothbrushes to heavy factory machinery to the internet. Many senior executives are thinking about it as new technology or a platform rather than what it really is – a way to completely change businesses and its processes.
Taking full advantage of the IOT takes some radical thinking and a willingness to break from business as usual. As MIT researcher, George Westerman, puts it: “Successful digital transformation is like a caterpillar turning into a butterfly… many senior execs aren’t thinking about butterflies. They’re just thinking about faster caterpillars.”
The hard part is not transforming processes through technology, but transforming the organisation and its culture. The future will belong to the organisations which are better at embedding the technology in business processes to drive radical improvements, and which do this over and over again.
The IOT isn’t a simple technology project – implementing the Internet of Things isn’t a viable or interesting goal in itself. The IOT is a value creation tool, a way to transform the customer experience and reinvent business processes for the digital age.
The greatest digital opportunities across Africa lie in customer experience, business operations and business modelling. Business leaders should look at how connected sensors and devices – and the reams of data they produce – can be put to use to lift competitiveness by reinventing business processes.
The IOT is a complex interconnected network of related parts that sense context, transfer data, process information and initiate action. Data streams originating from all sorts of sensors built into a wide variety of “things” (machines, cars, mobile and immobile goods, clothes… even human beings) enable companies to create all sorts of innovative processes, services and products. The real magic comes from using machine learning to put that data to work.
Smart algorithms and AI can be applied to data collected at scale to find patterns, trends and indicators the human eye might miss. A few of the possibilities include:
Using predictive maintenance for technical infrastructure to improve reliability of machinery while reducing maintenance costs.
Leveraging traffic data from many different sources, including smart city data from traffic lights, streets or other vehicles. In fact, Uber already uses smart data to match drivers to passengers and find the smartest routes for its riders. Creating innovative consumer offerings, such as Amazon-style dash buttons to supply customers automatically and predictively with goods and services.
Providing medical care services, for example using wearables and even (in future) ingestible sensors to monitor elderly people living alone at home.
Picture a world in which a customer places an order for a running shoe on an e-commerce site, uploading video footage of the manner in which he walks and a scan of his foot. From there, a tailored running shoe is manufactured at a nearby facility using a 3D printer and delivered to the customer’s home.
From sales to logistics to manufacturing, a network of sensors can work towards getting a personalised product in the customer’s hands with as little friction and as much speed as possible. Fenner is the vice-president of Sage Enterprise Africa and the Middle East.