It probably doesn’t surprise you that Internet of Things is booming business. Shops are offering so-called smart devices and businesses are embracing it more and more as well. Gartner predicts that – in 2020 – there will be 26 billion connected devices and that more than 65 percent of the companies will have embraced IoT technology. Identifying the right business opportunities however, can be difficult. Just as having the knowledge to be able to convert the generated data into something useful. We’ll help you to get started.
What is Internet of Things exactly?
Simply said: IoT means connecting devices/things with the internet and with each other. Whether you have a phone, a thermostat, a coffee machine or a specific component within those devices. We can connect these devices and use their data remotely. The best known examples for consumers are Chromecasts and Philips Hue lights. Or we teach the thermostat our preferences according to a cosy and warm house, by connecting it to our phone and other data. So, Internet of Things offers customers mostly ease/comfort, or as critics would say: laziness. Nonetheless, IoT offers the potential to boost your business, especially in combination with machine learning. An IoT device is collecting a lot of data, and at a frequent basis. Data that you can use to optimize processes, do predictions or support people. That’s why Internet of Things brings large positive scaling opportunities for your business.
Humans can’t compete with the amount of data that a machine learning model can process, especially not in that short amount of time, without losing focus. So, if your devices are connected, you can analyze the generated data using advanced machine learning models. And that’s potentially valuable data that can support humans in their daily tasks. Whether we want to help individuals in their daily routine, or whether we want to optimize business processes. For example: You can use a machine learning model to notify the right people at the right moment with the right notifications. It is possible identify people, with name and known data within 100 milliseconds from realtime video, or you can discover anomalies within speech, video or photo to be able to resource people where it’s probably needed. And: you don’t have to do small samples, you can focus on every anomaly already identified.
Other inspiring examples:
- Measuring the quality of water is a time consuming task. Someone has to be physically present to control every location sample-wise. With IoT, you could simply install some sensors that warn when a extra check is needed. A Machine Model can monitor the water quality of every specific spot simultaneously and can thereby warn much quicker.
- Why wouldn’t we use IoT to fight against a rat plague? By adding a sensor to the trap, you can remotely monitor which ones have been activated. The machine learning model will analyze the data the IoT sensor generates and will warn the right person. This enabled to only visit traps where something happened.
- Production processes aren’t without mistakes. There are for example sometimes stains or cracks within paper. By installing a camera above the production area, and by connecting this realtime video footage to a machine learning model, you can send notifications when something seems to go wrong. This is an instant problem-warning, and enables you to stop the process if necessary – instead of throwing away the whole batch.
For more information on how our experts can help your business, call the team on 0161 871 0330 today.