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The 2012-2013 application field and working principle includes numerous technologies, systems, programs, and components that act together to make a streamlined and efficient system of delivering information and services to users. The main goal of this system is to create a more seamless experience, whether the user is accessing services in person or remotely through the use of a device or computer application. Some of the main aspects that have been incorporated into the system include cloud computing, the Internet of Things (IoT), big data, artificial intelligence, and analytics.

Cloud computing is the model for enabling in-demand, on-demand access to a shared pool of computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Users can access applications, storage, networks, and other computing resources from anywhere that has an Internet connection. This allows users to take advantage of the economies of scale that are available with cloud computing, helping to reduce costs, increase flexibility, and maximize efficiency for their organizations.

The Internet of Things (IoT) is the emerging connectivity of physical objects that are equipped with sensors and network connectivity. This enables the objects to collect and exchange data over a network without having to rely on a human being. The end goal of the IoT is to enable an automated system of interaction between objects, utilizing data to support a variety of services. Common applications of this technology include home automation, smart cities, and smart car systems.

Big data is the large and complex data sets that are generated by businesses and organizations. By using analytical tools and techniques, these data sets can be used to identify trends, correlations, and patterns that can be used to make better informed decisions. Big data analytics can also be used to create predictive models for anticipating customer demand, offering personalized services, and managing inventory.

Artificial intelligence (AI) is a technology that is used to create computer systems that are capable of performing tasks that normally require human intelligence. AI technologies are being used to automate processes and improve efficiency in industries such as healthcare, banking, retail, and manufacturing. Common applications of AI include image recognition, natural language processing, robotic process automation, and autonomous vehicles.

Analytics is the process of extracting actionable insights from data sets. This can be done by utilizing a variety of analytical techniques such as descriptive, predictive, and prescriptive analytics. Descriptive analytics describe what happened in the past, while predictive analytics uses existing data sets to forecast what may happen in the future. Prescriptive analytics use insights from predictive and descriptive analyses to recommend optimal solutions for present day decisions.

As can be seen, the 2012-2013 application field and working principle encompasses a wide range of technologies that can be used to create more efficient and streamlined experiences for users. By taking advantage of the available cloud computing, the Internet of Things, big data, artificial intelligence, and analytics technologies, organizations can create solutions that offer the best possible performance and value for their money.

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