Artificial Intelligence and Machine Learning: The Brain of a Smart City

SUSAN MORROW | August 16, 2019

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Another post in my series on smart cities and privacy. This continues from the previous post Smart City Data: A Convoluted Web.The data collected by sensors and IoT devices in the smart city have to, somehow, be used. Information can provide insights to spot patterns and trends. If you have enough of it, aka big data, you can get a pretty accurate picture of whatever it is you’re exploring. For example, smart grids, with enough information at hand, can use data to determine peaks and troughs in electricity need and to then adjust output. This optimizes the use of energy, helping in the drive to sustainability.

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EnerTrac, Inc.

EnerTrac is a network service provider (NaaS) and network solutions company focused on wide area machine-to-machine (M2M) applications (Internet of Things). We offer a low cost long distance sensor network and SaaS applications on a subscription fee basis to help businesses make fact based decisions.

OTHER ARTICLES

Which IoT Applications will Benefit Most from Edge Computing?

Article | March 2, 2020

Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.

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LIVING IN A SMARTER WORLD: WHY USE AI-ENABLED IOT IN HEALTHCARE

Article | March 12, 2020

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.

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THE FUTURE OF BIOMETRICS IOT

Article | April 3, 2020

In 2018 when Apple unveiled its iconic iPhone X with a feature to unlock the phone with Face ID thereby eliminating the use of the home button, it met a lot of eye-rolls. Fast forward to now, people are in love with the biometrics enabled technologies. While iPhone X had a unimodal authentication system, gadget these days have updated themselves in a better way. Let’s try to have a better understanding of the Biometrics. Biometrics are a way to measure a person’s physical characteristics to verify their identity. It can be physiological traits, like fingerprints and eyes, or behavioral traits, that define the manner an individual respond to stimuli. These characteristics are unique to the person. Once collected the data compared with the pre-existing database to find a match. Accordingly, it then produces an outcome. There are many varieties in which this data is collected. Facial and voice recognition, iris and finger scanner, signature verification, hand geometry, keystroke, gait detectors are some of the examples.

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Why artificial intelligence will finally unlock IoT

Article | March 12, 2020

According to Gartner, there may be larger than 20 billion connected devices worldwide by the use of 2020. These days’s enterprises are already benefitting very a lot from a sturdy, connected personnel, nonetheless as Internet of Points (IoT) enabled devices switch forward, saturating {the marketplace}, is it conceivable for them to outpace their very personal benefits? In the end, while the continued surge of IoT devices is rising an onslaught of data requiring storage and retention, developments throughout the IoT worldwide are nonetheless sure by the use of how briefly and efficiently data may additionally be computed, and value extracted. Apparently, the current resurgence of artificial intelligence (AI) period may provide an antidote to the flood of data lately’s digital worldwide is coping with.

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Spotlight

EnerTrac, Inc.

EnerTrac is a network service provider (NaaS) and network solutions company focused on wide area machine-to-machine (M2M) applications (Internet of Things). We offer a low cost long distance sensor network and SaaS applications on a subscription fee basis to help businesses make fact based decisions.

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