What Is Cloud Computing?

What Is Cloud Computing?

4 minutes, 33 seconds Read

What Is Cloud Computing?

The term “cloud computing” describes the method of providing computer services via the internet (the cloud), such as storage, processing power, networking, databases, analytics, and software. Instead of owning and maintaining physical servers or hardware, users can access and use computing resources provided by cloud service providers. Cloud computing offers flexibility, scalability, cost efficiency, and the ability to access resources from anywhere with an internet connection.

Key characteristics of cloud computing include:

On-Demand Self-Service:

Users don’t need the service provider’s human intervention to provision and manage computing resources as needed.

Broad Network Access

Devices such as laptops, cellphones, and tablets can all access services over the internet.

Resource Pooling

Computing resources (e.g., processing power, storage, memory) are pooled and shared among multiple users, maximizing efficiency and resource utilization.

Rapid Elasticity

Resources can be quickly scaled up or down based on demand, allowing users to adapt to changing workloads and requirements.

Measured Service

Users of cloud computing services receive billing based on their real utilization of metered resources. This pay-as-you-go model offers cost efficiency and transparency.

Service Models

Different service models are provided by cloud computing to meet the needs of different users.

Infrastructure as a Service (IaaS)

Provides virtualized computing resources over the internet. Users have control over operating systems, storage, and networking but do not manage the underlying infrastructure.

Platform as a Service (PaaS)

Offers a platform that includes tools and services for application development, such as databases, development frameworks, and middleware. Without worrying about maintaining the underlying infrastructure, users concentrate on developing and implementing apps.

Software as a Service (SaaS)

delivers software programs via the internet, saving consumers from having to manage, maintain, and install the program locally. Examples include email services, office applications, and collaboration tools.

Deployment Models:

Cloud computing can be deployed in various ways to meet different organizational requirements:

Public Cloud:

Services are open to the public and are supplied by independent cloud service providers. Resources are shared among multiple users.

Private Cloud

Cloud infrastructure is used exclusively by a single organization. It can be managed by the organization itself or by a third party.

Hybrid Cloud

Combines elements of both public and private clouds. It allows data and applications to be shared between them, providing greater flexibility and optimization.

Community Cloud

Shared by several organizations with common concerns, such as regulatory compliance or industry-specific requirements.

Advantages of Cloud Computing

Cost Efficiency:

Pay-as-you-go model and resource pooling contribute to cost savings.

Scalability:

Rapid elasticity allows businesses to scale resources up or down based on demand.

Flexibility and Mobility

Users can access cloud services from anywhere with an internet connection.

Reliability:

Cloud providers often offer high levels of reliability and redundancy.

Security:

Cloud providers implement robust security measures, often surpassing what individual organizations can achieve.

Innovation

Cloud computing enables rapid development, deployment, and experimentation with new applications and services.

Best Cloud computing courses online has become a fundamental technology in modern IT, transforming the way businesses operate and deploy technology solutions. It supports a wide range of applications and services, from basic storage to advanced machine learning and artificial intelligence applications.

 

What are the best practices of cloud security?

Ensuring the security of data and applications in the cloud is paramount due to the sensitive nature of information and potential risks. Here are some best practices for cloud security:

Data Encryption:

Encrypt data both in transit and at rest. Use secure encryption protocols to protect data as it travels between users and the cloud, as well as when it is stored in the cloud.

Access Control and Identity Management:

Implement strong access controls and employ identity and access management (IAM) solutions. Authenticate and authorize users, ensuring that individuals have the least privilege necessary to perform their tasks.

Multi-Factor Authentication (MFA):

Enforce multi-factor authentication to add an extra layer of security. This typically involves a combination of something the user knows (password) and something the user possesses (token or mobile device).

Regular Audits and Monitoring

Conduct regular security audits and monitoring of cloud resources. Use cloud monitoring tools to detect and respond to security incidents promptly.

Security Group and Network Configuration:

Configure security groups and network settings carefully. Restrict incoming and outgoing traffic to only what is necessary for the application’s functionality, and regularly review and update these configurations.

Secure APIs:

If APIs are used to interact with cloud services, ensure they are secure. Implement proper authentication and authorization mechanisms, and regularly review and update API security.

Incident Response Plan

Develop and regularly update an incident response plan. Ensure that your team knows how to respond to security incidents, and practice incident response scenarios periodically.

Regular Security Training:

Provide regular security training to employees, emphasizing the importance of security best practices and awareness of social engineering attacks.

Data Backups:

Regularly back up critical data to prevent data loss due to accidental deletion, cyberattacks, or other unforeseen events. Verify the integrity of backups and test restoration procedures.

Compliance Management

– Understand and adhere to regulatory compliance requirements relevant to your industry and region. Cloud providers often offer compliance certifications, but organizations are responsible for ensuring compliance within their use of the cloud services.

By following these best practices, organizations can enhance the security posture of their Cloud computing courses online environments and better protect sensitive data and applications from potential threats and vulnerabilities. It’s important to continuously assess and adapt security measures to address evolving cybersecurity challenges.

Read more article:- Submitnews.

How Will AI Shape The Future of News Media?

As new practices and tools rapidly proliferate in the commercial and technical worlds, often with little consideration of their consequences for the social world, the news media industry is also being shaken up by the practicalities of emerging artificial intelligence (AI) technologies. As technology evolves at a faster clip than ever, AI is more and more becoming a mainstay of news production, distribution and consumption. AI is changing the way news organizations are running, as well as how audiences consume content, from automated creative processes to personalized news delivery.

AI in News Production

AI has a wide impact in the news industry but its biggest area of application is content creation. Automated journalism, or robot journalism, poised media houses to create news coverage on an industrial scale and with stunning efficiency. Algorithms of NLP (Natural Language Processing) and machine learning can scan the databases and produce reports instantly (in seconds). For example, AI systems are often used to generate summaries for sports, finance, and election results, among other things.

And AI-driven tools assist reporters with fact-checking, transcription and translation. Within seconds, fact-checking algorithms crawl through facts and help reduce misinformation exposure. Also, Otter. ai, a service that uses AI to transcribe. ai and Rev make it automated to convert audio interviews into written text, which can save hours of manual labor for journalists.

Personalized News Delivery

In a digital era, personalised content is proven to be the stickiest content. It is through the analysis of user behavior, interest, and reading history that AI algorithms study details to deliver personalized content recommendations. AI is used by media outlets such as Google News and Flipboard to create personalized streams of news, thus verifying people read what they want.

Previously such tailored news delivery helped deliver better user experience and contribute towards increasing user engagement but in return raised concerns of the filter bubble effect. Plus: Artificial intelligence by only showing a user things they like might limit their view to only things they enjoy, limiting how they see the world. To maintain their journalistic integrity, news organizations must balance personalization with variety.

Combating Fake News

In the wake of the digital media revolution, came the fake news as a new challenge, eroding public confidence in media. In tackling this issue, AI has played its role by spotting misinformation and stopping the spread of it. Natural Language Processing: The choice of words that the author uses can be analyzed by using natural language processing(NLP) to find out the specific mind frame of the author. For example, AI can analyze the metadata of a picture or video to determine its authenticity.

Facebook and Twitter are using A.I. to spot and remove misleading posts. But obstacles remain to accurately filter out satire, opinion and malicious misinformation. Industry-fueled initiatives between tech companies, media agencies, and legislators are essential to overcoming these problems.

Enhancing User Engagement

AI is rapidly transforming the way audiences consume news as well. AI-Driven Chatbots and Virtual AssistantsIn the age of AI, users need not wait until news spreads; they can relish real-time news updates via AI-powered chatbots and virtual assistants available on websites. They give news more access and interaction in our present, the age of readers accustomed to talking to interfaces.

Additionally, news organizations use AI-powered analytics to understand the audience’s actions and preferences. In dealing directly with AI analytics that drive editorial decisions, the aesthetics can be fine-tuned so publishers crop their images in such a way that they have a better chance of resonating with their target audience. Read more examples of the heatmaps, what headlines, images or topics get the most engagement through heatmaps and percentages of CTR analysis.

Ethical Issues & Considerations

Artificial intelligence into the news media industry offers several advantages, but there are also ethical issues and challenges. One of the main concerns involves algorithmic bias. Since AI models are trained on historical data, they tend without knowing to repeat the biases that already show in those historical datasets. It may lead to biased coverage or biased distribution of content.

The other big problem was transparency. As a hedge against the danger of erosion of trust, news organizations should disclose how much they are using AI in the composition and curation of content. Readers have the right to know whether what they’re reading is written by the hand of a human being or a machine’s algorithm.”

The rise of automated journalism has prompted a debate on the role of human journalists going forward as well. AI can repeat things, and it can calculate and perform actions by generating number and statistics, it cannot be creative, nor clever, nor investigative, this is the human way of life, and this is the only indicator that catches human attention is when there is a person who thinks and whose best effort is to make the people he or she loves uncover the the facts of the matter. The trick is to make AI a machine that assists humans rather than evening the competition.

What’s Next for AI in News Media

Though AI is integrated into some news media, this is still in its infancy, and its potential has yet to be fully realized. This is just a glimpse into the potential of AI; in the coming decades journalism will cement itself even more with the intelligent integration of AI. For instance:

Hyper-Local News AIHyper-local news AI can enable hyper-local news coverage by analysing data from localized geographic areas, such as social media posts, traffic, and events. It enables the media to target niche markets with highly relevant content.

AI for Content Creation — Part One: Types of Generative Content Generative content varies with the advancements in technology, but it generally encompasses the tools and channels available to marketers in order to reach their audience in a more engaging way.

News Translation through Language AI: News organizations are already utilizing AI-powered language translator tools like google translator that keeps improving with time for covering its news products for international audiences. This allows tools for real-time translation to break the boundaries of languages and culture.

Song tts, Speech to text, For example sentiment analysis: the ability to look at news articles and social media discussions based on AI and understand how the general public feels about a certain act. It also helps direct editorial strategies, allows journalists to get a sense of audience viewpoints, and so on.

Improved Accessibility: AI also has the potential to improve accessibility of news for disabled individuals. For example, text-to-speech allows articles to be presented in audio to visually impaired readers, and AI-generated captions help hearing-impaired readers.

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