Business interest in the Internet of Things continues to grow, with two trends driving an expansion of IoT applications and possibilities: the emergence of new wireless communications networks and the arrival of "edge computing" IT infrastructure.
As industrial and business processes are more frequently mediated by the IoT, and IoT-driven analytics solidifies as a category, startups are leveraging machine learning and deep learning to provide predictive insights based on the data collected from wearables and sensors.
From consumer to industrial verticals, the Internet of Things (IoT) is touching all types of business and use cases. Our prior research has examined startups working in general IoT, Industrial IoT, and healthcare IoT. While funding to certain IoT sub-categories such as wearables has cooled off, the IoT has broadly experienced a steady growth in funding.
Window glare is something that have been solved for decades with simple blinds, but now a glass company is making windows smarter and more energy efficient, bringing in auto-tinting that can be controlled by a mobile phone. View’s Dynamic Glass offers connected windows that can be programmed to darken or brighten depending on outdoor conditions, and prevent glare in doing so.
The system tracks the location of the sun using a sensor, and gathers information on light conditions from the internet. View offers a smartphone app that connects to the window’s IP address, connecting them to the network of IoTs and enabling them to be controlled independently.
Microsoft today announced at its Build developer conference that it’s now selling five new Azure IoT Starter Kits, which are available for as little as $50 each.
There are an Adafruit Raspberry Pi Kit, an Adafruit Feather M0 Kit, an Adafruit Huzzah Feather ESP8266 Kit, Seeed’s Intel Edison Kit, and the SparkFun Thing Dev Kit.
The unprecedented expansion of the Internet of Things (IoT) has led to a rapidly expanding amount of generated data. Industry experts are warning that at the current rate of growth, unstructured data will inevitably become an unmanageable tsunami. Data management overload is a near-certainty.
Citing a recent Gartner report, Enterprise Tech reports that the impact of IoT on enterprise infrastructure will be serious. The report says that “due to a lack of information capabilities adapted for the IoT” an estimated 25% of attempts to use IoT data will have to be abandoned prior to successful deployment.
IoT startups have has seen tremendous investment growth over the past five years, especially those working on industrial IoT applications, which saw 83% funding growth in 2015. What are the specific categories that have been most targeted by IoT investments, and where are deals more thin on the ground?
The possibilities that IoT brings to the table are endless. IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
IoT will produce a tsunami of big data, with the rapid expansion of devices and sensors connected to the Internet of Things continues, the sheer volume of data being created by them will increase to an astronomical level. This data will hold extremely valuable insights into what’s working well or what’s not.
Four years after the original Raspberry Pi arrived in February 2012, the new Raspberry Pi 3 has landed, kitted out with a considerably faster, 64-bit quad-core ARM Cortex 1.2GHz processor and Wi-Fi and Bluetooth support built in.
It’s this networking support, more than the faster processor, that will make it easier to put the diminutive device to more practical use through being able to communicate with other devices.
This may make the Pi the hardware platform of choice for many Internet of Things (IoT) projects. IoT will change our approach to electrical appliances at home and work by refashioning them so that they can communicate with each other automatically.
