Are our laptops and smartphones the only devices connected to the large virtual space, the internet? Certainly, not! The internet, as we know today, connects a diverse range of devices that are built to make life more convenient.
The hyperconnected space has given birth to a new ecosystem which we call the Internet of Things. It is a digital realm that powers our smart watches, smart cars, smart home appliances and even a smart home itself.
Gartner, a leading research and advisory firm, has predicted that over 20 billion devices will be connected to the IoT ecosystem by 2020. In fact, a report by Business Insider forecasts that business spending on the technology will hit around $6 trillion by 2021.
While the Internet of Things (IoT) has carved out a comfortable place for itself in today’s society and markets, many still fear that the interconnectivity-driven phenomenon is extraordinarily vulnerable to outside attacks. A number of U.S. Senators believe they may have a solution to the problem, and have put forward the Internet of Things Cybersecurity Improvement Act of 2017.
What are the exact details of the text of the bill, and how does it intend to secure one of the most diverse and unregulated assets of the economy? What potential pitfalls stand in the bills way, and how much of a chance does it have of becoming law? An analysis of the IoT Act reveals that it’s a healthy step in the right direction, but it may not be enough.
The Internet of Things (IoT) wasted no time spreading across the world and connecting millions of individuals. In just a few short years, billions of sensors redefined how businesses operated and how people interacted with one another, and that was only the start; one IHS forecast predicts the IoT will grow to reach a staggering 75 billion devices by 2025.
Buying into IoT comes with a wealth of benefits, but adopting heavy use of the internet of things means more than plugging in devices and waiting for the data to pour in; it means modifying network infrastructure to accommodate them.
This is not a trivial consideration. If the network doesn’t adequately support all aspects of IoT, a company may be unable to take advantage of all that data and will fail to realize the return on investment it was hoping for.
The Internet of Things (or IoT) sounds like one of those futuristic buzzwords that’s still just a little too far off to think much about. But the IoT — where once-unconnected things like watches, cars, healthcare equipment, etc. will be connected to the Internet — is already here, and it’s changing our health, how we build things, and how we get around, and creating billions of dollars in value across multiple sectors.
Industrial Internet of Things (IIoT) is already revolutionizing domains such as manufacturing, automobiles and healthcare. But the real value of IIoT will be realized only when Machine Learning (ML) is applied to the sensor data. This article attempts to highlight how ML augments IIoT solutions by bringing intelligent insights.
The Internet of Things (IoT) has been called the next Industrial Revolution, and it will have a profound effect on how marketers will need to understand, market and track consumers in the years ahead.
In fact, BI Intelligence, in a 2015 report, estimated that more than 34 billion devices will be connected to the internet globally by 2020, up from 10 billion in 2015. This includes a mix of standalone devices that can be monitored and/or controlled from a remote location, as well as remote-enabled devices (such as smartphones, connected/smart TVs, smart home and smart assistants like Amazon’s Echo).