What is data Security , whatever information was collected. it was saved. There were some people who stole it. In ancient times was very difficult .for example, in ancient times, the message one of the important means of communication was sending of messages through the birds. So the enemy would shoot down the birds and read the information or whatever the was.
Similarly as time passed and communication progressed .similarly in modern times, some companies protected their data in such a way that no one could gain access to or from the data without their permission. This type of privacy is called data privacy or data security .any person tries to gain access to or from the data then it is immediately acted upon. In the simple words, it can be said that protecting the data is called data security.
What is data Security:
Encryption is a technique that is used to protect data. It uses different types of models. Though these modles, they are charged in such a way that only the parties who have ability to read it .only they can read it .no one else can access that data. These types of strategy are called data encryption.
Erasing of Data:
A strategy that erases some errors from the saved data after the saving data is called data eraser .there are some errors in the data which corruption the data from within. Such errors erasing is called data eraser.
Masking of Data:
A Strategy in which the data is copied. But the data is sensitively distributed .the unique data or data is checked. Data masking used this purpose.
Resilience of Data:
What is data security in which a system or network is used in an emergency. For example, when data may be destroyed by natural disasters such as storms, heavy rains or strong winds, adequate data backup is required in such situations. Data is stored and sued later. Such data is called data resilience.
What is data Security
Protects data security data from unauthorized persons and prevents them from being stolen.
Data security helps protect data in large operations.
Data security also helps protect government legal secrets.
Disadvantages of data security
The most important problem with data security is that there are subtle costs that that are incurred at the outset
The second biggest threat to data security is that companies invent new security methods that required a person to be updating all the time .Due to which some mistakes are made by the person. Due to which the person does not stay alert. And he cannot get information and because of which he is deprived of security.
A third risk of data security is that it uses a variety of tools that require different systems to manage and therefore are time consuming and therefore time-consuming.
Data and Informatics Technology is the technology part of collecting data and setting it into a program. It includes computer systems, software systems, programming systems. Various types of designing to compile and collect this data and deliver it to the users.
Basic concept of Data and Informatics Technology
Data and Informatics Technology is the use of scientific knowledge for practical purposes or applications, whether in industry or in any aspect of our daily life. So, basically, whenever we use our scientific knowledge to achieve a particular goal, we do good research through technology, for example, computers, mobiles, and software collects its data. Various forms of communication convey or describe facts, thoughts, or data, with the most important being the invention of the computer and mobile phone, their first commercial application, and the diffusion of technologies, which distinguish between large-scale replication and growth. Are Introduces the technology life cycle as a simple conceptual model.
Role of data and information
Data consists of raw, unprocessed facts, organizing the data and programming it into a system and then giving it a good structure with more information and more research, while information is the data. is processed, organized and interpreted to add meaning and value. This explanation sets the stage for how businesses can turn data into strategic assets through effective knowledge management.
Example:-
A list of temperatures, a paragraph of text, a photo file, or a song is all forms of data.
1 Monthly bills of a person
2 Number of students in a class
3 Number of persons liking a particular food
Difference between date and informatics
Quantitative
Qualitative
Quantitative
Quantitative data refers to numerical data, such as user performance metrics or feedback ratings. It is used to assess UX achievements and monitor how well they are moving towards UX goals against specified levels. Quantitative analysis and research is the process of collecting and examining measurable and verifiable data such as revenues, market share, and wages to understand worker behavior and performance. Used at business level.
Qualitative
Qualitative data is information that cannot be easily expressed by counting, counting, or using numbers. It is collected from text, audio and images and data is shared through data visualization tools, such as word clouds, timelines, graph databases, concept maps and info graphics, and can be explored by users through software.
Principles of informatics
Confidentiality, intergrty and availability.
Key component
Date management
In data management we organize the information according to a system then store it and give it a new form. Warehousing, and cloud computing are central to this aspect.
Data Analytics
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. It is a subset of data analytics, which requires the process of analyzing multiple data to focus on why something happened and what might happen in the future based on past data. . Making decisions and storing them according to the computer system.
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Bioinformatics
Classic data from bioinformatics include DNA sequences of genes or complete genomes. The amino acid sequence of proteins; and the three-dimensional structures of proteins, nucleic acids and protein–nucleic acid complexes, including calcium, proteins, carbohydrates, cheese, etc.
Health Informatics
Health informatics is the study and implementation of computer structures and encyclopedia newspapers books oxford dictionaries algorithms to improve the communication, understanding and management of medical information. It can be seen as a branch of engineering and applied science.
Business Informatics
Business Informatics (BI) is a field combining concepts from economics, economics of digitization, administration, accounting, internal auditing, Informatics Technology and computer science. Informatics centers around creating a framework of programming and tools that ultimately provide the organization with efficient operations based on information technology applications. The focus on programming and tools increases the value of economics and information technology analysis and the use of it by users in developing projects and business programs that use the analytics and information gathered by computers.
Big Data
Artificial Intelligence (AI) and Machine Learning (ML)
Data Security and Privacy
Common Applications
Healthcare
Health informatics is the study and implementation of computer architectures and algorithms to improve the communication, understanding, and management of medical information. It can be seen as a branch of engineering and applied science. Health informatics is a spectrum of multidisciplinary fields that includes the study of the design, development, and application of computational innovations to improve health care. Especially computer engineering, software engineering, information engineering, bioinformatics, bio-inspired computing, theoretical computer science, information systems, data science, Data and Informatics Technology, autonomic computing, and behavioral informatics.
Business Intelligence (BI)
Business intelligence includes data analytics and business analytics, but they are used only as parts of the whole process. BI helps users draw conclusions from data analysis. Data scientists dig into the details of data using advanced statistics and predictive analytics to discover patterns and predict future patterns, working on top of more research and information findings. The design helps and users design a new program based on the research done.
Financial Services
With digital payments, online banking, analytics and reporting, banks (or other institutions) can now create much better investment opportunities for everyone. They know exactly how much money we have, what we spend, and the risks we take. 360WebSol
Artificial intelligence (AI) is the ability of machines to imitate or enhance human intelligence, man made a ship by seeing a bird and took advantage of it because it was a peaceful thing and did research on it and did various experiments. And learned a lot from him like reasoning and learning from experience. Artificial intelligence has been used in computer programs for years, but now it is applied to many other products. But made a sketch of it because it was included in the artificial
Types of Artificial Intelligence (AI)
Narrow AI or Artificial narrow intelligence (AI)
General AI or artificial general intelligence (ANI)
Super AI or artificial super intelligence (ASI)
Narrow AI or artificial narrow intelligence (ANI)
Artificial Narrow intelligence is a type of artificial intelligence that is designed for specific tasks . This version is a artificial intelligence.
Example (ANI)
Siri
Face ID
Google Assistant
General AI or artificial general intelligence (AGI)
Artificial general intelligence is a research field that tries to provide information to human as well as to create software
Example (AGI)
Manufacturing robots
Self –driving cars
Smart assistants
Healthcare management
Automated financial investing
Virtual travel booking agent
Social media monitoring
Marketing chatbots
Super AI or artificial super intelligence (ASI)
Artificial super –intelligence ASI is hypothetical software completely beyond human intelligence .It is system that serves as the latest scientific functions for human development
Example (ASI)
Apple siri
Amazon Alexa
Advantages
Artificial Intelligence (AI) is software that can do hours of work in minutes, minutes of work in seconds. It is software that makes the impossible to possible and solves difficult problems
Disadvantages
Artificial Intelligence (AI) system can suffer from mistakes. If person training. It does not give the right instructions, as a result of which the result is not correct.
Impactsof Artificial Intelligence (AI)
Artificial Intelligence (AI) refers to machines that mimic human intelligence. They can think, learn, and make decisions to solve problems. Initially used in computer programs, Artificial Intelligence (AI) now applies to various industries, transforming daily life and work. Narrow Artificial Intelligence (AI) focuses on specific tasks, like Siri and Face ID.
The Evolution and Impact
General (AI), on the other hand, mimics human reasoning. It powers self-driving cars, healthcare tools, and smart assistants. Super Artificial Intelligence (AI), though hypothetical, aims to surpass human intelligence. Artificial Intelligence (AI) improves efficiency and tackles complex issues, but it depends on correct training. Errors can occur if inputs are flawed. Despite challenges, (AI) continues to evolve, promising remarkable innovation. The journey of (AI) reshaping our world is ongoing
