The Internet of Things: Preparing Yourself for a Connected Government

| June 14, 2016

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Imagine the following scenario: At home, you’re gently awakened by an alarm system that’s tied to your internal sleep cycles. As you stretch, well-rested from just exiting a REM cycle, a sensor in your mattress...

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5G network – the key to the Industrial Internet of Things

Article | May 13, 2020

The Industrial Internet of Things changes our view on the classic concept of production today. The largest manufacturing companies are eager to reach for technological solutions that streamline and increase the efficiency of production processes. With the development of subsequent technologies, interest in the concept of industry 4.0 increases, and thus, the number of connected devices. To meet the demand for infrastructure with adequate capacity and speed it was necessary to evolve towards the next generation of networks – 5G.

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DEPLOYING MACHINE LEARNING TO HANDLE INFLUX OF IOT DATA

Article | May 13, 2020

The Internet of Things is gradually penetrating every aspect of our lives. With the growth in numbers of internet-connected sensors built into cars, planes, trains, and buildings, we can say it is everywhere. Be it smart thermostats or smart coffee makers, IoT devices are marching ahead into mainstream adoption. But, these devices are far from perfect. Currently, there is a lot of manual input required to achieve optimal functionality — there is not a lot of intelligence built-in. You must set your alarm, tell your coffee maker when to start brewing, and manually set schedules for your thermostat, all independently and precisely.

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AI and IoT projects optimize industries inside and out

Article | May 13, 2020

When people think of AI, it's easy to jump to the many possible uses seen in movies -- such as accessing secret areas with biometric data or robots completing human jobs -- but applying AI realistically requires architects and administrators to understand just how flexible AI is in a business setting. Tech leaders have rapidly increased the number of AI and IoT projects in many areas of their businesses, including customer experience, data analysis and security. When organizations apply AI into these different aspects, they can more effectively process the IoT data they create and further improve their operations and products. Popular movies have made customer experience AI one of the better-known examples of AI. Ads may not be as flashy as the personally tailored ones using customer biometrics as seen in The Minority Report, but it's easy to see how organizations will get there from the online ads that use AI to give consumers offers specific to their interests. Businesses use AI that learns from data analytics on customer behavior throughout the IoT customer journey.

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Scalable Software with Devops for Industrial IoT

Article | May 13, 2020

Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies. Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.

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