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THE SMART OBJECT AGE
| March 1, 2016
4K Solutions, established in 2006, is a custom information technology /cyber systems integrator providing full turn-key solutions to include professional services and training.
Article | March 31, 2020
An IoT ecosystem, like any biome on Earth, is constantly subjected to changes and threats at various scales. Whether the system is an asset tracking solution in a hospital to help deliver more effective healthcare or cold chain management ensuring temperature control during transportation, the hardware/sensor is where the data journey commences in an IoT ecosystem. The integrity of these hardware components is paramount to the success of an IoT solution, but there are currently critical threat points on these devices which left unaddressed could be disastrous. Much of the focus of IoT security is on keeping the communicated data from IoT devices untampered up the solution stack. Methods like end-to-end AES encryption are currently standard by most network protocols and are well secured and tested.
The Internet of Things has given rise to a host of new standards and protocols. Still more protocols that originally existed for other purposes but are well suited to new IoT applications have been adopted by device manufacturers and application creators. Though in some senses IoT devices are the same as any other internet-connected device, the bandwidth, power, and transmission distance constraints inherent in many IoT applications require novel new solutions to the fundamental actions of connectivity, data transfer, device discovery, and communication. This article will serve as a brief glossary of terms related to IoT communication protocols and standards. Click here for a more complete introduction to connectivity options.
Artificial Intelligence and Internet of things are hot topics now, as a consequence, integrating AI into IoT is becoming a common practice. The healthcare system is everybody’s business, so finding one's way around is equally important for all. Yet, keeping all the details in mind is no easy task. There are limits to human mental and physical performance. Thus going beyond one’s maximum has to be relegated to such technologies as the Internet of things and Artificial Intelligence. The implementation of innovative solutions in healthcare is always a good idea and IoT together with AI are strong drivers of the digital transformation regardless of what field the technologies are applied in. Municipal infrastructure, smart homes, retailing, manufacturing, supply chain, education, healthcare and life sciences — the entire digital ecosystem, an IoT ecosystem of connected devices, has been created and is growing stronger with each passing day. Empowered with Artificial Intelligence and Machine Learning, among other things, IoT is used as a means of equipping people with intelligent assistance. Gradually, it is taking over both minor and major processes in a number of industries. Healthcare is no exception.
Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.
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