Classified in Technology

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What is DATA: Data is raw facts and figures. These have very little meaning until they are sorted or they are used to make calculations. The process of sorting or calculating data is called data processing. The result of data processing is information

What is information: Is when Data is processed, organized, structured or presented in a given context so as to make it useful. 3 stages of doing tasks with data 1. Data is put into the information systems (INPUT) 2. The data is processed (PROCESS) 3. Information comes out of the information system (OUTPUT)

Big data 7v's : Value: Data usefulness in decision making. Volume: Data scale. Velocity: Data processing. Variability: Data flow inconsistency. Variety: Data heterogeneity, structure, semi-structured, un-structured Visualization: Data readable. Veracity: Data quality and accuracy
Types of data: Quantitative: Data can be measured with numbers, such as duration or speed. Discrete: whole numbers that cannot be broken down, such as a number of items. Continuous: numbers that can be broken down, such as height or weight. Interval: numbers with known differences between variables, such as time. Ratio: numbers that have measurable intervals where difference can be determined, such as height or weight. Qualitative: non-numerical data that is categorical, such as yes/no responses or eye color. Nominal: data used for naming variables, such as hair color. Ordinal: data used to describe the order of values, such as 1=1 happy, 2=neutral, 3=unhappy.

What is it automation?: IT automation, referred to as infrastructure automation, is the use of software to create repeatable instructions and processes to replace or reduce human interaction with IT systems. Automation is key to IT optimization and digital transformation.

What is robotic process automation?: Is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. Benefits : Robotic process automation streamlines workflows, which makes organizations more profitable, flexible, and responsive. It also increases employee satisfaction, engagement, and productivity by removing mundane tasks from their workdays. RPA provides organizations with the ability to reduce staffing costs and human error.

Internet og things (IOT) : IoT is a network of devices rather than people. IoT applications are normally built from devices that sense real-world conditions and then trigger actions to respond in some way. Often the response includes steps that influence the real world. A simple example is a sensor that, when activated, turns on some lights, but many IoT applications require more complicated rules to link triggers and actions.

Artificial intelligence (AI) : Is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. Is a class of applications that interpret conditions and make decisions, similar to the way people respond to their senses, but without requiring direct human intervention. Types: reactive AI, Limites memory, Theory of mind, Sell aware.

How can iot and ai support each other: In IoT, real-world events are signaled and processed to create an appropriate response. Any IoT application that uses software to generate a response to a trigger event is at least a basic form of AI, and AI is then essential to IoT. The question for IoT users and developers isn't whether to use AI.That depends on the complexity and variability of the real-world system IoT supports.

Virtual reality: This technology immerses users in a completely virtual environment that is generated by a computer. The most advanced VR experiences even provide freedom of movement users can move in a digital environment and hear sounds. Special hand controllers can be used to enhance VR experiences. You need to wear a special VR headset to experience virtual reality. Most VR headsets are connected to a computer or a gaming console. 

Augmented reality: In augmented reality, users see and interact with the real world while digital content is added to it. There’s a different way to experience augmented reality, though with special AR headsets, such as Google Glass, where digital content is displayed on a tiny screen in front of a user’s eye.

Mixed reality: This is the most recent development in reality technologies that sometimes causes confusion, primarily because different experiences are called so. Without going too deep into science, let’s look at two basic forms of reality technologies that are referred to as mixed reality:

Mixed reality that starts with the real world: Virtual objects are not just overlaid on the real world but can interact with it. In this case, a user remains in the real-world environment while digital content is added to it; moreover, a user can interact with virtual objects.

Mixed reality that starts with the virtual world: The digital environment is anchored to and replaces the real world. In this case, a user is fully immersed in the virtual environment while the real world is blocked out.

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