We are rapidly moving to a brave new world of interconnected smart homes, cars, offices and factories known as the Internet of Things (IoT). Sensors and monitoring devices will touch every part of our lives. Let’s take a closer look at the Internet of Things.
The Internet of Things is a worldwide network of objects and devices connected to the Internet. They are electronics, sensors, software and more. These objects connect to the Internet and can be controlled remotely via apps and programs.
Because they can be accessed via the Internet, these devices create a tremendous opportunity to integrate computers and the physical world. They will improve our lives by making things more efficient and accurate, providing economic benefits derived from more effective use of resources.

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Test-driven development (TDD) has been around for a while now. Behavior-driven development (BDD), a comparably recent methodology, emerged from the practice of TDD and could reasonably be called a narrower application of TDD.
The TDD process allows a developer to use a failing unit test to express a shortcoming of the system. The next step is to modify the production code to get the failing test to pass without making existing tests fail. BDD more or less takes this same concept and adds the idea that the tests should be written in easy-to-understand language describing the problem domain, and that tests should express user acceptance criteria.

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Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.

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Bluenose empowers SaaS businesses to proactively manage and engage their customers through our insight-driven toolkit and built-in play books. We rely on big data analytics and trended analyses to forecast where a customer relationship is going.

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Using any programming framework to the fullest extent possible first requires an understanding of advanced software architecture concepts. While writing a little client-side JavaScript does not necessarily require as much consideration when designing a scalable software architecture, the evolution of tools like Node.js means that you could be facing large code bases that must be easy to maintain.

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Intuit uses deep-data analytics to gain a 360-degree view of its TurboTax application’s users’ behavior and preferences for rapid applications improvements.
The next BriefingsDirect big-data innovation case study highlights how Intuit uses deep-data analytics to gain a 360-degree view of its TurboTax application’s users’ behavior and preferences. Such visibility allows for rapid applications improvements and enables the TurboTax user experience to be tailored to a highly detailed degree.

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Here’s the thing: as sure as we’ll have another record-setting year for NFL streaming, you can also be sure that apps will fail and streaming services will go down. Whether you are dabbling in streaming or diving in whole-hog, you need to know what to do to give your users the most reliable experience possible. Here are a few tips.

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Here’s a bold claim: Cloud computing has the potential to be as transformative as the advent of the automobile. Before the age of cars and buses, everything was undertaken at a fraction of the pace it is now-transport, distribution, socializing. The automobile revolutionized all of that, changing forever the way we moved, made friends and worked. Make no mistake, cloud computing is the 21st Century equivalent of the automobile.

In case you’ve just returned from several years orbiting Mars, let me just explain what we mean by cloud computing. It refers to storing and accessing data, programs and services over the Internet instead of your computer hard drive. Working off your hard drive is how the computer industry functioned for decades-all your data lived somewhere inside that desktop PC. With cloud computing, you divest of the hard drive and enjoy the freedom of working anywhere, anytime, on any device. Your data, however much there is of it, is stored in huge data centers and storage farms often in places people have never heard of.

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Enterprises with internally sourced IT operations typically struggle with typical tensions associated with siloed application and infrastructure organizations. They are characterized by finger pointing and an inability to restore operational capabilities under complex conditions that span both application and infrastructure configurations. These tensions often are used to characterize the need for a DevOps movement, which focuses on organizational, process and cultural changes needed to bring about a more fluid IT delivery that embodies higher quality and greater overall agility.

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The Internet of Things is here. In the coming years, billions of devices like sensors, meters or actuators will be connected to the network, sharing information and taking instructions. These connected devices will sense and deliver more data, respond to control inputs and provide more information to help people and machines make decisions. Examples of “things”’ include IPTV cameras in major metropolitan areas, crop-growing water detection systems, smart meters that communicate energy consumption and smart transportation systems that adapt to traffic conditions. These are all computing systems that are Internet-connected and operate with no human intervention.

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