How AI is impacting IoT in building smart applications The applications of IoT are endless. From helping cities predict accidents and crimes to enabling optimized productivity across industries through predictive maintenance, IoT is creating a treasure trove of Big Data. Using AI in IoT is the only way to keep up with this IoT generated data and gain insights.

Our world is facing a rapid expansion of devices and sensors that are connected to the Internet. The sheer volume of data that gets created by them is increasing constantly….

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Expanding digital business with IoT Internet of things is all set to completely transform the way we perform our daily activities by automation. It is gaining fast attention from businesses, consumers, and even governments. IoT has the potential for driving efficiency and unlocking new opportunities in digital business.

IoT is referred to the intersection of the virtual and physical worlds via connected devices. IoT has sparked the interest of several businesses and institutions. In 2016, approximately 65% of…

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What is convolutional neural network? Convolutional neural networks are based on the visual cortex. The visual cortex in the human body has small regions of cells, which are sensitive to specific regions of the visual field.

Several intelligent tasks such as visual perception, language understanding, and auditory perception require construction of good internal representations of features. These features must be invariant to irrelevant variations of the…

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How PKI has geared up for IoT? Connected IoT devices must provide trustworthy information, sometimes directly to the user and sometimes to the infrastructure provider. Establishing trust across disparate devices on a massive scale is one of the most significant challenges faced by IoT. Use of PKI in IoT can help in overcoming this challenge.

A persisting challenge in IoT is trust, which is hard to achieve with the grand scale around IoT implementations. Around 63% of IT professionals around the world feel that IoT…

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3 applications of Deep Learning in Big Data analytics Deep Learning algorithms have great potential for research into the automated extraction of complex data representations. Deep Learning algorithms can develop a layered, and hierarchical architecture of learning and representing data. Deep Learning in Big Data Analytics has become a high-focus of data science.

Big Data has now become important as several organizations are collecting massive amounts of domain-specific information that can be used to solve problems related to national intelligence, cyber security, fraud…

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