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Nov 16, 2022

WHAT IS ARTIFICIAL INTILLIGENCE (AI) AND ITS HISTORY, TYPES, IMPORTANCE?

 

WHAT IS ARTIFICIAL INTILLIGENCE (AI) AND ITS HISTORY, TYPES, IMPORTANCE? 

written by M Arshad Sohail                                                                         dated 16 nov-2022



TABLE OF CONTENT:

1-   Introduction

2-   Definition

3-   History of artificial intelligence

4-   Types of artificial intelligence

5-   Importance

6-   Benefits

7-   Ethics and transparency

 

1-INTRODUCTION TO ARTIFICIAL INTELLIGENCE

Artificial intelligence allows machines to model and even improve the capabilities of the human mind. From the development of self-driving cars to the proliferation of smart assistants like Siri and Alexa, artificial intelligence is becoming a bigger part of everyday life. As a result, many technology companies across various industries are investing in artificially intelligent technologies.AI

Artificial intelligence enables machines to understand and achieve specific goals. AI involves machine learning through deep learning. The first refers to machines that automatically learn from existing data without the help of human beings. Deep learning allows a machine to absorb vast amounts of unstructured data such as text, images, and audio.

2-DEFINITION OF AI

Artificial intelligence is the ability of machines to perform certain tasks that require the intelligence exhibited by humans and animals. This definition is often attributed to Marvin Minsky and John McCarthy from the 1950s, who were also known as the fathers of the field.

Artificial intelligence is a constellation of many different technologies that work together to enable machines to perceive, understand, act and learn with a human-like level of intelligence. Perhaps this is why everyone seems to have a different definition of artificial intelligence: AI is not just one thing.

3-History of artificial intelligence

Intelligent robots and artificial beings first appeared in ancient Greek myths. And Aristotle's development of the syllogism and his use of deductive reasoning was a pivotal moment in humanity's efforts to understand its own intelligence. While the roots are long and deep, the history of artificial intelligence as we think of it today spans less than a century. The following is a quick look at some of the highlights in AI.

AI was a term first coined at Dartmouth College in 1956. Cognitive scientist Marvin Minsky was optimistic about the future of this technology. From 1974-1980, there was a decline in government funding in the field, a period known as the "artificial intelligence winter", when several criticized progress in the field.

However, enthusiasm was renewed later in the 1980s, when the British government began funding the technology again, especially as it feared competition from the Japanese. In 1997, IBM's Deep Blue became the first computer to beat a Russian grandmaster and made history.

4 types of artificial intelligence

Artificial intelligence can be divided into four categories based on the type and complexity of tasks the system is capable of performing. For example, automated spam filtering falls into the most basic class of AI, while the remote potential of machines that can sense people's thoughts and emotions is part of an entirely different subset of AI.

WHAT ARE THE FOUR TYPES OF ARTIFICIAL INTELLIGENCE?

 


I. Reactive machines: able to perceive and respond to the world in front of them while performing limited tasks.

II. Limited memory: the ability to store past data and predictions to inform predictions of what may come.

III. Theory of mind: is able to make decisions based on how others feel and make decisions.

IV. Self-awareness: the ability to work with human-level consciousness and understand one's own existence.

I-Reactive machines

A reactive machine follows the most basic principles of artificial intelligence and, as its name suggests, is only able to use its intelligence to perceive and react to the world in front of it. A reactive machine cannot store memory, and as a result cannot rely on past experience to make real-time decisions.

HOW ARTIFICIAL INTELLIGENCE WORK?

Direct perception of the world means that reactive machines are designed to perform only a limited number of specialized tasks. However, deliberately narrowing the world view of a reactive machine is not some kind of cost-cutting measure, and instead means that this type of AI will be more trustworthy and reliable – it will respond in the same way to the same stimuli every time.

An example of a reactive gaming machine is Google's Alpha Go. Alpha Go is also unable to evaluate future moves, but relies on its own neural network to evaluate the evolution of the current game, giving it an edge over Deep Blue in a more complex game. Alpha Go also defeated the game's global competitors when it beat Go champion Lee Sedol in 2016.

 

II-Limited memory

AI with limited memory has the ability to store previous data and predictions as it gathers information and considers potential decisions – essentially looking into the past to see what might come next. Artificial intelligence with limited memory is more complex and offers more capabilities than reactive machines.

There are six steps to follow when using AI's limited memory in ML: Training data must be created, an ML model must be created, the model must be able to make predictions, the model must be able to receive feedback from a human or environment that must have feedback. be stored as data and these steps must be repeated as a cycle.

III-Theory of Mind

Theory of mind is just that – theoretical. We have not yet achieved the technological and scientific capabilities necessary to achieve this next level of artificial intelligence. The concept is based on the psychological premise of understanding that other living beings have thoughts and emotions that influence human behavior.

In terms of AI machines, this would mean that AI can understand how humans, animals and other machines feel and make decisions through self-reflection and determination, and then use that information to make its own decisions. Essentially, machines would need to be able to grasp and process the concept of “mind,” the fluctuations of emotion in decision-making, and a litany of other psychological concepts in real time, creating a two-way relationship between humans and AI.

IV-Self-awareness

Once a theory of mind can be created, sometime in AI's future, the final step will be for AI to become self-aware. This kind of artificial intelligence has human-level consciousness and understands its own existence in the world, as well as the presence and emotional state of others. It would be able to understand what others may need based not only on what they communicate to them, but also on how they communicate it.

Self-awareness in AI relies on both human researchers understanding the premise of consciousness and then learning how to replicate it so it can be built into machines.

TYPES OF ARTIFICIAL INTELLIGENCE | ARTIFICIAL INTELLIGENCE EXPLAINED | WHAT IS AI?

Another classification

There are three ways to classify AIs based on their abilities. Rather than types of AI, these are stages through which AI can evolve – and only one of these is possible right now.

A. Narrow (or "weak") AI

Some go further and define artificial intelligence as "narrow" and "general" AI. Most of what we experience in our daily lives is narrow AI that performs a single task or a set of closely related tasks. Examples:

These systems are powerful, but the playing field is narrow: they tend to focus on driving efficiency. But with the right application, narrow AI has enormous transformative power—and continues to influence how we work and live globally

Scale.

EXAMPLES OF ARTIFICIAL INTELLIGENCE: NARROW AI

 Siri, Alexa and other smart assistants

 Self-driving cars

 Google Search

 Email spam filters

 Netflix recommendations

 Weather application

 

b. General (or "strong") AI

General AI is more like what you see in science fiction movies, where sentient machines mimic human intelligence, thinking strategically, abstractly and creatively, with the ability to handle a range of complex tasks. While machines can perform some tasks better than humans (such as data processing), this fully realized vision of general artificial intelligence does not yet exist outside of the silver screen. That's why human-machine collaboration is key – in today's world, artificial intelligence remains an extension of human capabilities, not a replacement.

 

What is machine learning?

Machine learning is a type of artificial intelligence that allows systems to learn patterns from data and subsequently improve future experiences.

 #ARTIFICIAL INTELLIGENCE SERVICE HUMANITY

C. superintelligence

In addition to narrow AI and AGI, some believe there is a third category known as superintelligence. For now, this is a completely hypothetical situation where machines are fully self-aware, even surpassing human intelligence in virtually every field, from science to social skills. In theory, this could be achieved through a single computer, a network of computers, or something else entirely if it is conscious and has subjective experiences.

Nick Bostrom, founding professor and head of Oxford's Future of Humanity Institute, apparently coined the term back in 1998, predicting that we would reach superhuman artificial intelligence in the first third of the 21st century. he added, it will require not only sufficiently powerful hardware, but also "adequate initial architecture" and "a rich flow of sensory input."

 

8- Meaning of artificial intelligence

Artificial intelligence has many uses, from supporting vaccine development to automating the detection of potential fraud. Private activity in the AI ​​market saw a record year in 2021, according to CB Insights, with global funding up 108 percent compared to 2020. AI is making waves across industries thanks to rapid adoption.

Business Insider Intelligence's 2022 AI in Banking report found that more than half of financial services companies are already using AI solutions to manage risk and generate revenue. The application of AI in banking could lead to savings of up to 400 billion dollars.

In terms of medicine, a 2021 World Health Organization report says that while the integration of artificial intelligence into healthcare poses challenges, the technology "holds great promise" as it could lead to benefits such as more informed health policy and improved diagnostic accuracy patients. .

Artificial intelligence has also made inroads into entertainment. The global market for artificial intelligence in media and entertainment is estimated to reach $99.48 billion by 2030, growing from $10.87 billion in 2021.

THE AI TIMELINE: A HISTORY OF ARTIFICIAL INTELLIGENCE

 

A critical source of business value – when done right

AI has long been seen as a potential source of business innovation. With the enablers now in place, organizations are beginning to see how AI can multiply value for them. Automation lowers costs and brings new levels of consistency, speed and scalability to business processes; in fact, some Accenture clients see time savings of up to 70 percent. But even more compelling is AI's ability to drive growth. Companies that scale successfully see three times the return on their AI investment compared to those stuck in the pilot phase. No wonder 84 percent of C-suite executives believe they must use AI to achieve their growth goals.

B- Agility and competitive advantage

Artificial intelligence is not just about efficiency and streamlining laborious tasks. With machine learning and deep learning, AI applications can learn from data and results in near real-time, analyze new information from multiple sources, and adapt accordingly with a level of accuracy that is invaluable to business. (Product recommendations are a prime example.) This ability to self-learn and optimize means AI is constantly increasing the business benefits it creates.

In this way, AI helps businesses adapt quickly with a regular flow of insights that drive innovation and competitive advantage in a world of constant disruption. Once scaled, AI can become a key driver of your strategic priorities—and even a pillar of survival: Three out of four C-suite executives believe that if they don't scale AI in the next five years, they risk going out of business altogether. Clearly, the stakes are high when it comes to the scope of AI.

3 out of 4 C-suite executives believe that if they don't scale AI in the next five years, they risk going out of business altogether.

6-Advantages of AI

There are many ways to define AI, but the more important conversation revolves around what AI allows you to do. According to Accenture's report, AI: Built to Scale, 84 percent of business executives believe they need to use AI to achieve their growth goals. However, 76 percent admit they struggle with how to scale AI within their business. Until now, there hasn't been a plan to get an accurate proof of concept into production and scale, a transition that many are struggling to make. At this inflection point, it is imperative that businesses take the necessary steps to scale successfully.

 

i- End-to-end efficiency: Artificial intelligence eliminates friction and improves analysis and resource utilization across the organization, leading to significant cost reductions. It can also automate complex processes and minimize downtime by anticipating maintenance needs.

ii- Improved accuracy and decision-making: Artificial intelligence augments human intelligence with rich capabilities of pattern analysis and prediction to improve the quality, efficiency and creativity of employee decision-making.

iii- Intelligent Offers: Because machines think differently than humans, they can more quickly identify gaps and opportunities in the market, helping you to introduce new products, services, channels and business models with a speed and quality not previously possible.

iv- Empowering employees: AI can handle mundane activities while employees spend time on high-value tasks. By fundamentally changing the way work is done and empowering the role of humans in driving growth, AI is expected to increase labor productivity. The use of artificial intelligence can also unlock the incredible potential of talent with disabilities while helping all workers thrive.

v- Superior customer service: Continuous machine learning provides a constant stream of 360-degree customer insights for hyper personalization. From 24/7 toaster rerouting, businesses can use AI to manage real-time information and deliver high-touch experiences that drive growth, retention and overall satisfaction.

AI is used in many ways, but the prevailing truth is that your AI strategy is your business strategy. To maximize the return on investment in AI, identify your business priorities and then determine how AI can help you.

Identify your business priorities and then determine how AI can help you.

vii- Define the value of your business

There are countless ways to use AI. How do organizations decide what to focus on? To scale successfully, start by defining what value means to your business. Then evaluate and prioritize different AI applications against those strategic goals.

VIII- Rework your workforce

The growing momentum of AI requires a diverse, reconfigured workforce to support and scale it. Despite initial fears that AI and automation will lead to job losses, the future of AI depends on human-machine collaboration and the need to reshape talent and ways of working.

IX- Establish governance and ethical frameworks

Organizations must design their AI strategy with trust in mind. This means building the right governance structures and ensuring that ethical principles are translated into algorithm and software development.

7-Ethics and transparency

Successful application of these factors can help organizations unlock exponential value and remain competitive. Artificial intelligence is no longer just a "nice-to-have", it is essential to the future of business.

a- Ethics

No introduction to artificial intelligence would be complete without addressing the ethics of artificial intelligence. Artificial intelligence is evolving at a breakneck pace, and as with any powerful technology, organizations need to build trust with the public and be accountable to their customers and employees.

At Accenture, we define "responsible AI" as the practice of designing, building and deploying AI in a way that empowers employees and businesses and equitably impacts customers and society – enabling companies to build trust and scale AI with confidence.

b- Trust

every company using AI is subject to scrutiny. Ethical theater is a regular theme, where companies promote the responsible use of AI through PR while also engaging in unpublished gray area activities. Unconscious bias is another. Responsible AI is an emerging capability that aims to build trust between organizations and their employees and customers.

c- Data security

Data privacy and unauthorized use of artificial intelligence can damage reputation and systemically. Companies must design confidentiality, transparency and security into their AI programs from the start, and ensure that data is collected, used, managed and stored securely and responsibly.

d- Transparency and ability to explain

Whether it's building an ethics committee or revising their code of ethics, companies must create a governance framework to guide their investments and avoid ethical, legal and regulatory risks. As AI technologies become increasingly responsible for decision-making, businesses need to be able to see how AI systems achieve a given outcome and take those decisions out of the "black box". A clear governance framework and ethics committee can help develop procedures and protocols to ensure that their code of ethics is properly translated into the development of AI solutions.

e-control

Machines don't have minds of their own, but they do make mistakes. Organizations should have risk frameworks and contingency plans in place in the event of a problem. Clarify who is responsible for decisions made by AI systems and define a governance approach to help escalate issues when necessary.

 

8-Conclusion:

When you consider the computational costs and the technical data infrastructure running behind AI, actually executing on AI is a complex and expensive undertaking. Fortunately, there have been massive advances in computing technology, as indicated by Moore's Law, which states that the number of transistors on a microchip doubles approximately every two years, while the cost of computers is halved.

Although many experts believe that Moore's Law is likely to end sometime in 2020, it has had a major impact on modern artificial intelligence techniques—without it, deep learning would be financially impossible. Recent research has found that AI innovation has actually outpaced Moore's Law, doubling every six months or so versus two years. The organization must build trust with the public and be accountable to its customers. He concludes that the future of the world is bright as ARTIFICIAL INTELLIGENCE

Nov 15, 2022

Corporate and Other Taxes in Pakistan - FEDERAL BOARD OF REVENUE - FBR

 

Corporate and Other Taxes in Pakistan - FEDERAL BOARD OF REVENUE - FBR

written by M. Arshad Sohail

dated : Nov 15, 2022



1-SALES TAX

Sales tax (value added tax referred to as VAT in other countries) is usually levied at 17% of the value of the goods, unless specifically exempted or subject to a reduced rate of sales tax, after allowing related input credits.

Service sales tax is levied by all four provinces, Islamabad Capital, Gilgit-Baltistan, Azad Jammu and Kashmir at rates ranging from 13% to 16%.

Sales tax paid for services, federal sales tax, and federal excise tax are mutually adjustable with a few exceptions.

Supplies made by certain specific persons/industries are subject to special sales tax regimes (eg retail price/flat tax regime) or are otherwise subject to reduced rates of sales tax.

Commercial imports of goods are subject to VAT at a rate of 3% in addition to sales tax payable at the standard rate at the importation stage.

Local supplies made by persons operating in five export-oriented sectors (textiles, leather, footwear, surgical goods, sporting goods) are subject to sales tax at the applicable rate of 17%, with the option of a reduced rate available in some cases.

2-DUTIES AND IMPORT DUTIES

Customs duties and certain other duties are collected at the import stage at various rates classified by Harmonized System (HS) code.

3-EXCISE DUTY

Federal Excise Tax (FED) is levied on certain types of production, importation of goods and provision of services at different rates. The service sales tax, which is a substitute for the FED under the constitution, is to be levied and collected by the provinces for services provided within their jurisdictions.

4-PROPERTY TAXES

Property owners are required to pay property tax, which is levied and collected by provincial governments through municipal authorities at various rates.

5-STAMP DUTY

In case of sale or transfer of immovable property, stamp duty (with different rates depending on the location of the property) is paid on the value of the property.

6-PAYROLL TAXES

Apart from social security contributions and old age benefit institution  (see below), employers are not required to pay any other taxes on their employees or their wages.

7-SOCIAL SECURITY CONTRIBUTIONS

Nominal social security is collected from employers and employees. Employers are required to collect and pay monthly.

8-INSTITUTION FOR OLD AGE (EOBI)

The employer and employees of each industrial enterprise pay a monthly contribution of 5% of the minimum wage from the employer and 1% from each employee. Pickup is the employer's responsibility.

9-PROFESSIONAL TAX

Professional tax for employees is paid by each employer to the Department of Excise and Taxation

BUSINESS TAX BASICS

Before registering and filing your sales tax return, it is recommended that you gain a basic understanding of these processes. Knowledge of basic concepts would ensure not only easy completion of tasks but also in the prescribed manner.

Sales tax is a tax levied by the federal government under the Sales Tax Act, 1990 on the sale and supply of goods and on goods imported into Pakistan. Sales tax on services is levied by the federal government under The Islamabad Capital Territory (Service Tax) Ordinance, 2001.

    INPUT TAX

Input tax is tax paid by a registered person on taxable goods and services purchased or acquired by him. This also includes sales tax paid on importation.

    OUTPUT TAX

It is a sales tax charged and collected on the sale or supply of goods or services subject to sales tax.

    SCOPE OF TRADE TAX

Sales tax applies to the following:

1-GOODS

2-SERVICES

Sales of goods tax is collected by the FBR while service sales tax is collected by the provincial government revenue offices of each province.

All goods are subject to tax except goods which have been exempted under section 13 as set out in Schedule 6 to the Sales Tax Act 1990. For the purposes of sales tax, goods include all kinds of movable property, except suits, money, stocks, shares and securities.

IMPORT INTO PAKISTAN

All goods imported into Pakistan are subject to sales tax at the time of import, except goods specifically exempted under section 13 as specified in the Sixth Schedule to the Act.

EXCLUDED GOODS

Under Section 13 of the Sales Tax Act, 1990, the Sixth Schedule to the Sales Tax Act, 1990 specifically and expressly lists the goods on which exemption from sales tax is possible. Other exemptions are available through various notifications (SROs) issued by the government under section 13.

SALES TAX DUE DATES

Taxpayers belonging to the respective categories are required to file sales tax returns in monthly, quarterly or annual format.

MONTHLY RETURNS

According to the standard procedure, the registered person is required to submit the monthly statement Annex C on the 10th and the Payment on the 15th and the statement by electronic mail by the 18th of the month following the period in which the deliveries were made, in designated branches of the National Bank. Pakistan. In case of certain categories as mentioned below, the procedure of filing returns on monthly and quarterly basis has been proposed.

QUARTERLY RETURN

Taxpayers belonging exclusively to the CNG category are obliged to submit returns quarterly.

SPECIAL RETURNS

Some sectors of producers have to file a special tax return on a monthly basis

ANNUAL RETURN

A manufacturer must file an annual sales tax return for a financial year by 30 September of the following financial year.

CONCLUSION

countries like Pakistan imposed lot duties and taxes but unfortunately collection of revenue can not collect up to mark. there should be taken reforms and best measure to enhance tax net and revenue base in Pakistan.

Nov 14, 2022

What is YouTube SEO? How YouTube SEO affects the ranking of YouTube videos:

 

What is YouTube SEO? How YouTube SEO affects the ranking of YouTube videos:

written by M. Arshad Sohail


Content:

A. What is YouTube SEO?

B. How does YouTube SEO work?

C. Keywords and SEO Tools

D. 22 Best YouTube SEO Tips

E. Conclusion

A- What is YouTube SEO? 

It includes programming, design, content production, and relationships with other sites so that search engines see this page as the best result for what the user is looking for.

Before learning what YouTube SEO is, it's important to take a few steps back and understand what SEO is. Search engine optimization is a set of strategies for optimizing the user experience, the goal of which is to improve the position of a page in search engines.

Of course, when it comes to SEO, you want to rank high in Google Search. After all, this Internet giant dominates over 90% of searches worldwide.


B- How does YouTube SEO work?

Youtube bought by Google. Therefore, it uses the same search intelligence as a search engine and has the same purpose: to offer the user the best search experience.

In this video, YouTube itself briefly explains how its search algorithm works:

When a user enters a search term on YouTube, the platform's bots search all channels and videos to provide the user with the best results in order of relevance.

For example: a video that correctly fills out the title, tags, and description fields will rank better than a video that doesn't.

Therefore, the SEO optimizations you make for YouTube are not just for searches within the platform, but also to compete for that space in Google search.

YouTube SEO is not a cakewalk. Even if you follow all the instructions, the decision about what results are displayed to the user depends on the platform's algorithm, which is quite complex.

C- Keywords and SEO Tools

You can use keyword research tools including:

• POSSIBLE

• Ahrefs

• Semrush

• Google

• Keyword Explorer

• Tube Buddies

• YouTube Analytics

• vidIQ

• Autosuggest YouTube

• Google Keyword Planner

• Keyword Tool (Keywordtool.io)

• Rank Tracker

• Kparser

• YTRank

D- 22 Best YouTube SEO Tips for Video Ranking:

With the ever-increasing demand for YouTube to rank high in the platform's search results? So let's take a look at some tips to help YouTube prioritize your channel and your videos in user search results.

1- Learn from competitors

Competition makes life harder, but your competitors can also be a source of topic ideas.

To find the most visited pages of your competitors, you can use the Top Pages report in Ahrefs Web Explorer.

For example, if we plug our competitor into this tool, we'll see that their Magento SEO guide gets decent search traffic.

2- Aligning YouTube metrics with purpose

Not all YouTube metrics are relevant to your goals and target audience, so you need to figure out which ones to focus on. Each of these statistics provides you with a wide range of useful information about the performance of your video. So it's crucial to familiarize yourself with each YouTube Analytics metric to truly understand what it's measuring and what it means to you.

For example, focusing on engagement will help you measure the quality of your video, but the number of videos measures its reach. For the types of traffic sources, they will give you valuable information to improve the visibility of your videos and tell you whether people are finding them through the browsing features, the search box, your YouTube channel page or some other way.

3- Define your goals and target audience

It's important to remember that defining your goals should always be step zero in any marketing strategy, videos or no videos. You need to set specific goals and direct them to a defined audience.

Get a clear idea of ​​what you want to use your video for. Doing so can serve as a blueprint that will get you safely to your destination from a marketing perspective. Additionally, defining your goals will help you decide what types of videos best suit your purposes, outline what it's all for, and measure the success of your marketing strategy.

4- Updating old content:

Old content needs to be updated regularly because rankings don't last forever, especially if you're targeting time-sensitive topics.

For example, here's the estimated organic traffic to our top Google searches list over time:

Each slump occurred when the content lost its freshness. Searchers wanted an up-to-date list of top Google searches, but ours was out of date. This is why the charts tanked.

Each increase occurred when we updated the content.

You can find pages on your site that may need to be updated in Site Explorer. Simply connect your site, go to the Top Pages report, set the comparison mode to "Previous Year", sort the report by traffic change from low to high and search

5- Ask people to comment, share and like your videos

Encourage viewers to subscribe to your channel and leave comments.

Video comments, shares, likes and subscriptions show YouTube that people like your videos. If your viewers share your videos with others, it shows Google that you have content that people like. All of these factors will get you higher search rankings on YouTube.

6 - Do your keyword research first

Keywords are essential in YouTube SEO as they are for Google. Through them, the platform identifies the subject of the video, indexes the content and matches it to user searches.

Therefore, you need to know which keywords best identify your videos and at the same time have the potential to attract more viewers to your channel.

Now let's look at some tips for doing quality keyword research with a focus on YouTube SEO. These can be used to fill in the blanks after you shoot videos, but also to brainstorm potential content for your channel.

To do this, visit channels that are authorities in your niche. If they have a good audience and a lot of views, they probably have adopted good YouTube SEO practices and know how to use keywords.

For example, in the case of the Rock Content channel, one of the videos that appears at the top of the list is this: "Story is Strategy: The Strategic Story as Your Company's North Pole."

In addition, you can also analyze your channel statistics. As part of the analysis of traffic sources, the most used terms to reach your videos. Here you can find inspiration to upload new content or include keywords in your uploaded videos.

7- Keywords with good hit potential

With the above tips, you already have a good list of keywords. So how do you choose the best ones for your videos?

Of course, you have to think: "I will choose the words that are most used in the search!". Yes: the most popular terms tend to attract more people. However, they have more competition — and such competitors can be big brands and influencers who are hard to compete with. What we call "long tail" keywords are probably better for small and medium businesses.

They don't have that amazing traffic, but neither do they have that much competition. So it is easier to get a good position. Plus, they often represent lower-of-the-funnel searches—closer to conversion.

But how do you know what long-tail keywords are? They are usually longer – three words or more – and represent a more specific search. For example, “content marketing” is a top of the line word. It generates a lot of hits, but the ranking is much more competitive.

However, you can narrow this search by using the term "Instagram content marketing" which will already filter out competitors. If you choose the term "content marketing Instagram Stories", the search will be even more specific and you will increase the chances of your video getting a good placement.

8- Include your target keywords in your video file names

If your video file names contain your target keywords, your videos are more likely to rank higher in search results.

You can see the file name when you upload a new video. Be sure to update the file name before uploading the video.

The platform has been instrumental in transforming video into one of the major content formats, both for consumption and digital marketing.

And with so many videos on the platform, YouTube was forced to organize all this content in its search engine.

That said, we will now understand what YouTube SEO is.

Search engines exist in many other places on the Internet. For example, when you enter a web page, there is usually a search function that finds internal content. There is also an internal search engine on social networking sites.

9- Use the best video title - search for it by keyword

After doing good keyword research, you already have a good selection of terms at hand. So what do you do with them?

Include targeted keywords in your video titles to find out what your audience is searching for and why. Be creative and interesting with your titles to encourage users to click. Add numbers to the title to entice viewers. For example, "6 Tips to Rank Higher on YouTube".

One of the fields where the keyword must appear is the title. This is one of the most important factors for YouTube to index and rank content. And in order for the video to appear in a good position, the title must be as close as possible to the user's search queries.

Research has also shown that longer titles tend to underperform because the top positions are more objective: the top 20 players have an average of 47-48 characters in their title - the maximum is 100 characters.

So try to make your titles shorter and with the exact keyword. These findings are not rules, but are worth considering. Also remember that the title of the video can be the user's first contact with your content.

So it needs to describe what viewers will be watching, but also motivate them to click on your video. That's why it's worth a pinch of creativity that can sharpen curiosity.

10- Add tags to the video

Anyone who works with SEO for Google knows that stuffing a page's code with keywords in Meta tags no longer makes sense. The search engine no longer uses this aspect as a ranking factor because it was widely used as spam.

However, on YouTube, tags are necessary to rate a video. These are among the factors YouTube considers to identify video topics and index it properly, but also to recommend related videos. And these suggestions are also an important source of traffic for your videos.

17- Promote the channel and videos

We've already given you tips on how to increase audience engagement with your videos. But to get to that point, you need to bring that audience to your channel first!

By optimizing the title, description and tags of your videos, you will already increase visibility on YouTube itself.

However, you must have several other marketing channels that can be used to promote your videos outside of YouTube and increase views.

There's no point in pushing the bar, is there? This will only result in frustration for the user who accesses your video and then leaves because it wasn't what they were looking for. Initially you can post your videos on FACEBOOK, TWITER, INSGRAM, LINKEDIN PAGES for promotion.

18- Create your own thumbnails for your videos

Have you ever chosen something to watch on YouTube (or any other video streaming platform) based solely on the appeal of the preview image?

If so, then you already know how important the right thumbnail can be.

Your thumbnail is literally the first thing a user sees when they come across your video, and it can make or break someone's decision to click on it or not.

Great thumbnails can significantly increase traffic and watch time, leading to higher rankings not only on YouTube but also in search engines.

So choose your thumbnails carefully.

Be creative. Choose something that perfectly captures the theme of your video and will help it stand out from everything else. You will love what it does for your results.

Here's a great tutorial on how to make a thumbnail in this video

https://youtu.be/aFmfxxekDt8

19- Take advantage of YouTube end screens and tabs

If you want your audience to do something specific when they watch your video, it's important not to leave anything to chance.

Tell them directly with a clear call to action (CTA). Not only does it ensure your viewers complete the correct action instead of hitting, it also helps alleviate decision fatigue.

Of course, you can (and should) integrate verbal calls to action into your content, but you should also use the built-in features that YouTube includes, such as YouTube tabs and end screens.

YouTube tabs are pre-formatted visual notifications set to appear in the top right corner of your video. Cards are interactive and encourage users to explore other videos, links, playlists and more.

Using interactive features like these help increase watch time, improve engagement, grow your subscriber list, and increase your videos' search rankings, so use them wisely.

20- Focus on creating videos with high retention

As any seasoned marketer will tell you, dwell time is incredibly important to SEO. The longer a person spends on a particular page or website, the more valuable they appear to the algorithms and the higher the ranking in the end.

A version of this rule also applies on YouTube.

Audience retention rate is a metric that tells you how much of your video a viewer actually watches before moving on to something else, and is

Instead, focus on creating great videos that are short, engaging, and bring a lot of value.

Break your videos into small chapters that make it easier for viewers to digest your content. Be concise and dive straight to the heart of your topic to grab your audience's attention immediately.

21- Increase your production value as much as possible

Whether you're talking about YouTube SEO or not, good optimization is largely about quality, so anything you can do to increase the production value of your content will give you a big boost.

Naturally, great production value will never trump good content, but it's still worth noting that YouTubers respond to elegant and well-made videos.

And no, you don't need an expensive video setup to succeed here—just a smartphone or other video-capable device you probably already have.

Experiment with several different production options until you decide on a method that works for you. Pay attention to any feedback you get on your videos and use it as a guide for future improvements.

22- Monitor your analytics closely

The only real way to measure the success of your YouTube SEO strategy is to monitor your analytics closely. It's the best way to find out what's working in your videos and where you could improve.

A. Follow-up period

The overall total number of minutes users spend with your content.

b. CTR impressions

The rate at which people decide to watch your video after first seeing it on their homepage.

C. Traffic Sources

How and where users got to your content.

d. Unique audiences

Estimated number of users viewing your content over a period of time.

E. Subscriber Growth

How your subscriber count has changed by location, individual videos, time periods, and more.

Taken together, keeping a close eye on metrics like these will give you an excellent idea of ​​what resonates with your audience. If a particular video is significantly better or worse than average, consider what makes it different and fine-tune IT accordingly.

E- Conclusion:

Now that you've read the entire article, let's recall something we talked about at the beginning: user experience.

Remember, this is YouTube and Google's focus, and it should be yours too.

Therefore, all the tips we have listed in this article have a greater purpose: to improve the experience of Internet users. For example, coming up with creative titles and using subtitles aims to make people's lives easier and add value to watching video on the web.

Make sure that when you focus on user experience, the algorithm knows how to recognize your optimization efforts.

Now, in order to make better use of the tips we have brought in this article, it is important to know how to use SEO in each search engine.

Download our complete SEO guide now and become a master of SEO! FORTHWITHWTH.

Nov 2, 2022

What is a "metaversion"? And what problems are associated with it? Read and think what will be after the Internet?

 What is a "metaversion"? And what problems are associated with it? Read and think what will be after the Internet?

 by Abeeha Arshad



1. Introduction:

Metaverse: a tech scholar considers it an up version of the internet, but hundreds of schools of thought don't consider it just the internet. It will change, influence and control the human body and human behavior. The internet experience is 2D - meaning you can scroll and navigate it on screen - the meta version is 3D. You will "walk" through it through connected headphones or glasses.

It is unclear whether there will be one metaversion or many different separate metaversions (or any metaversion at all), but this seems to be the only constant: the metaversion is an immersive version of the next-generation Internet, possibly rendered by virtual or augmented reality technology.

Venture capitalist Matthew Ball, whose writing on the metaverse influenced Mark Zuckerberg, describes the metaverse as "the successor state of the mobile internet" and "a platform for leisure, work and existence in general".

2-digital twin

Mirrorworld: Mirrorworld is a digitally rendered version of the real world where virtual counterparts of real people, places and things exist. Mirror worlds feature frequently in science fiction, including Netflix's Stranger Things, the Matrix film series, the novel, and the film Ready Player One. The metaversion could be a mirror world designed to accurately reflect the physical world, or it could resemble a completely fictional world you might encounter in a video game.

The metaverse could resemble the physical world in that it will often appear tied to the physics and designs of our reality, but it may not be identical to it. A digital twin is a virtual version of a real object or structure. The term was first introduced in 1991 in the book Mirror Worlds by David Gelernter. Digital twin technology was first used by NASA to simulate space capsules in 2010. In particular, Microsoft emphasized the need for digital twin technology when building the meta version.

3-Difference between VR and AR?

Virtual Reality (VR): VR is an immersive experience where a person puts on a headset and sees and can operate in a digital world. VR currently uses full headsets rather than glasses, immersing the user in a 360° virtual world they can move around in – as long as they don't bump into physical walls.

Augmented Reality (AR): AR is a digital overlay projected onto the real world. Think Niantic’s Pokemon Go, Snapchat’s dancing hot dog, or even wearables like Google Glass. Even if Google Glass never took off, we could soon be looking through AR-enabled glasses like Facebook's Ray-Ban Stories or Snapchat Spectacles.

4-Navigation in many metaversions

Massively Multiplayer Online Role-playing Games (MMORPGs): MMORPGs are interactive games that form the basis of what many consider to be metagames. Millions of people interact in shared spaces—playing games, building things, visiting virtual stores, and even going to concerts. Examples include Fortnite, Roblox, Minecraft or NFT-based Axie Infinity.

Oculus and Horizon Workrooms: Social media company Facebook bought Oculus for $2.3 billion in 2014. While it's been the leading VR platform for years, Oculus may now be the portal for many hoping to glimpse Facebook's vision for the meta. Facebook has already introduced a virtual work experience called Horizon Workrooms, a sort of VR version of Zoom with legless avatars.

Second Life: An online virtual world Introduced in 2003, Second Life is an early example of social experiences in the metaverse. Although it's not quite an MMORPG (it's not meant for gaming), Second Life remains an open social network with avatars. Metaversion can resemble a VR version of Second Life.

Non-Fungible Tokens (NFTs): Authentication certificates for blockchain-based digital objects that could enable proof of ownership of goods in the metaverse.




Here are some metaversion challenges to consider

The promise and possibilities of metaversion are huge—and many companies are developing applications, products, and services to help develop metaversion and serve their users in an immersive digital world.

But there is a darker side to metaversion, so we need to look at some of the challenges this incredible technology will bring.

1. imaginary life concept:

Metaverse will develop imaginary life concepts in the human being, especially in children. One of the effects of cartoons on children is that they expect life to be as easy as gadgets make it

2-. Privacy issues

The Metaverse is another version of the Internet, and we use technologies like augmented and virtual reality to immerse ourselves in the digital world. With all this digitization comes privacy issues.

We already have privacy concerns when browsing the web. The technology that already tracks our behavior online will also exist in the metaverse, and the tracking is likely to become even more invasive and intense.

For example, VR headsets will include eye-tracking technology, so marketers and advertisers can potentially see from headset data exactly where we're looking in our immersive experience and for how long. Of course, this is a marketer's dream, but for anyone who cares about their privacy, this is a major concern. Companies will also be able to track our physical reactions as we connect with wearables and haptic devices that measure our emotions and physical reactions. Companies could collect and use vast amounts of data for marketing or other purposes.

3- Protecting our children

As parents, it is already difficult to monitor what our children are doing online, and this challenge will continue with the meta version. Understanding what our kids are doing in the metaverse will be even more challenging because we can't see the world they're looking at in their VR headset, and there's no process for monitoring their screens with tablets or phones.

4- Health concerns

The VR “hangover” is a well-known phenomenon, and people can also experience post-VR grief. When we've experienced a wonderfully immersive world and have to return to the real world, it can send us into depression and sadness—and the more incredible our immersive experiences, the more people struggle with this.

Addiction to the internet or gaming is already a big problem for children and adults alike, and getting attached to spending all our time in the metaverse may be an even bigger problem in the future.

5- Check for profanity and nudity:

Another problem with the Metaverse is exposing the globe as nudity and vulgarity. Many countries are strict about privacy and the use of sex as a taboo, so these countries will resist this kind of openness and there will be a difference between nations.

6-Inequality of access

In order to use augmented reality, we need the latest smartphone and mobile phone technology, and VR experiences require high-end, expensive headsets as well as a strong and reliable connection.

How can we ensure that everyone in the world has equal access to the metaverse, and not just the people who have the most money and live in developed countries? We will need to come up with plans to increase access to the metaverse as these immersive experiences become more and more important.

7- Metaverse laws

Can a virtual act be a crime? Metaversion will bring regulatory challenges and introduce new gray areas in many laws.

For example, if you're in virtual reality wearing a haptic suit and someone in the virtual world touches you without your permission, how does that differ from an attack in the real world? With technological advances and pressing legal issues, we will have to face these regulatory challenges.

8- Desensitization

Many people will play violent games in VR where you can touch and feel what you are doing. These immersive experiences will feel very real and could lead to people becoming desensitized to their behavior. If you shoot someone with a gun or strangle that person in a game, I believe there is a real risk that people will be more likely to replicate that behavior in the real world due to the numbing of VR.

9- Identity hacking

We will use avatars in the virtual world – and it will be possible for people to hack our avatars and steal our online identities. If this happens, the hacker could impersonate you and wreak havoc in your virtual and real world.

We need to focus on security in the metaverse and find ways to verify identities and avoid deep fakes to reduce VR-related cybercrime.

Conclusion:

Summarizing this dialogue, we conclude that this technology opens a new path of progress, it will threaten privacy. Obviously, there are many potential problems with metaversion and many issues that we need to think through and potentially regulate as this technology evolves. I think the world should create rules and regulations for the usability of this internet and beyond

Oct 29, 2022

Social, digital, artificial intelligence and technology trends will drive the future - How the workplace will change in the next decade.

 Social, digital, artificial intelligence and technology trends will drive the future - How the workplace will change in the next decade.

By Abeeha Arshad




As the Fourth Industrial Revolution continues, the COVID-19 pandemic has served as a wake-up call for many organizations, while also proving to be an opportunity for innovation, collaboration and sustainability. According to a recent report by Mckinsey & Company, the COVID-19 pandemic has pushed companies past a technology tipping point and changed business forever. Current trends in business and technology show that the way employees work, where, when, why and with whom has changed over the next decade and will continue to change, bearing little resemblance to the work of today.

Table of Content

1. Engaging and retaining talent A big challenge

2. Smart machines and artificial intelligence

3. Rapid innovation keeps businesses afloat

4. We will work for purpose and passion, not just money

5. Distant work-life balance reveals challenges

6. Globalization will be redefined with the stronger rise of social capitalism

7. Acceleration of digital transformation

8. Clean energy and technology – Sustainability is essential

9. The use of on-demand labor will increase

10. A new platform for healthcare reform

11. Supply chains will fragment and reconfigure themselves

12. Industries will be forced to reinvent themselves through skills and reskilling – a top priority

13. New thinking will drive future success

14. Spending in the digital market is growing

15. Growth of e-commerce

16. Big data will continue to grow

17. Software - The future of programming

18. Digital people - life in the metaverse

19. Hyper Automation – More than just automating tasks

How will the workplace change in the next 10 years?

1. Engaging and retaining talent A big challenge

You might be wondering why talent engagement and retention would make the list of technology trends for the coming years. Well, there are some very haptic arguments for this. The availability of technical talent with the required skills is a huge challenge for tech-savvy organizations. Research shows that Talent management is one of the key aspects for technology companies in the coming times.

Organizations need to think about other factors, especially going beyond compensation as a driver of talent acquisition or retention. Emerging technologies such as big data analytics, artificial intelligence and machine learning would play a vital role in building employer branding and shaping organizational culture. Organizations would have to dig deep to strike the right balance for people with flexibility in working hours and format, diversity, inclusion and equity.

2. Smart machines and artificial intelligence

Intelligent machines are becoming smarter and more ubiquitous, not only performing tasks previously reserved for humans, but also doing what was thought impossible for machines.

Companies will begin expanding the capabilities of smart machines, software, apps, and avatars. Employees will develop personal toolkits of virtual doppelgängers—virtual counterparts, with the help of artificial intelligence (AI) software and devices that are more accessible for their personal or team activities. What's more, they will be able to take their personal workplaces with them using cloud communities, open applications and personal virtual assistants.

3. Rapid innovation keeps businesses afloat

Technology will continue to drive innovation across business models across industries, allowing new businesses to enter the market and disrupt incumbents in significant ways. To drive business growth, stay relevant in changing times and differentiate themselves from the competition, business leaders must be able to think creatively and embrace innovation to create breakthrough value for their customers. In the post-Covid-19 era, there will be a greater need to increase innovation and move away from the comfort of doing business as usual. If organizations do not adapt to new ways of working, they may experience an existential crisis.

4. We will work for purpose and passion, not just money

People will actively seek opportunities to connect the impact and value of their work with their mission, purpose and passions. Watching others post on social media will motivate them to become more involved and contribute to social innovation and justice.

Smart companies become attractive not only by paying higher wages, but also by offering employees the opportunity to make a meaningful impact. Create a message that resonates and drives engagement by creating initiatives for employees to come forward with personal stories, experiences and successes on a variety of social issues.

 

Organizational culture and connectedness is in crisis

 

5. Distant work-life balance reveals challenges

Employees working independently or in remote locations will face a dilemma – to upskill and manage better projects, they will take on more tasks, potentially to the point where they feel like they are working around the clock. In response, achieving work-life balance will no longer be enough; employees will try to emphasize life over work.

However, there are shadowy aspects to the future of work-life balance. As technology closes the gap between geographically separated people, it introduces rifts in relationships and cultures. The remote division of labor means that many employees do not develop the same social relationships in the workplace, leading to problems of disengagement and loneliness.

6. Globalization will be redefined with the stronger rise of social capitalism

Unregulated and free-market globalization may gradually end due to COVID-19, which will reveal the serious risks of independent and uncoordinated actions by countries on the global economy and human well-being. The pandemic has shown that problems created in one country have a domino effect and can eventually have a serious impact on the entire economic world.

A new form of globalization will begin to emerge that recognizes the interdependence and goodness of humanity based on the collective actions of countries, businesses, and people. As a result, companies will change their corporate governance models with a greater focus on corporate social responsibility and people's well-being. Many countries will pass new laws to protect employees in situations like COVID-19. With the emergence of social capitalism, a new kind of capitalism will rule societies. Not only markets and market regulation, but also what is good for communities and society will drive business strategy.

7. Acceleration of digital transformation

The concept of digital transformation is now quite advanced and many organizations have been working on business transformation for the past two years, if not more. COVID-19 will force companies to take radical steps to embrace technological advances and modernize culture, organizational structures, measurement systems and operational architectures.

The common consensus among top business leaders is that even if an organization is ahead of the curve today, it must be constantly ready for change, take calculated risks, and be prepared to fail quickly, or their business is likely to be disrupted. Accelerating digital transformation would therefore become a top priority for many companies to ensure business continuity, improve productivity and implement new business models to remain competitive.

8. Clean energy and technology – Sustainability is essential

Energy drives all digital technologies, and the development of clean and sustainable energy sources is a major challenge for the coming decades. At the same time, clean-tech is based on the desirable trend of a sustainable lifestyle. These technologies, clean energy and clean technology have a huge gap for businesses to fill, not just for the coming decades, but well into the future.

Clean technology trends include renewable resources, sustainable consumption, energy efficient infrastructure, green logistics and transport and waste management. The cost of clean technologies in this industry is very high for wider commercial expansion. As related technologies develop over the next decade and beyond, widespread adoption and disruption is expected to occur across industries. There are several new trading platforms and ample scope for current industries to enter new markets and diversify their offerings by keeping up with operational and technological advancements.

9. The use of on-demand labor will increase

With the economic impact of COVID-19, companies and people will embrace technology-enabled on-demand workforce models and platforms. This would improve workforce planning, financial management and access to different skills. Companies should understand and learn how to engage and retain on-demand talent with improved people management programs, strategies and tools to create value for the workforce and on-demand workforce.

10. A new platform for healthcare reform

COVID-19 has exposed major gaps in healthcare systems in some of the world's most developed countries. The pandemic has created a heated platform for health care reform in the United States, the United Kingdom, France and many developing countries. COVID-19 will force the healthcare industry to transform and deliver care that is more equitable. This will create new opportunities for many people involved in building the new system.

In addition to industrial reform, companies will need to focus on individual health care. The need for emotional connectivity will increase as telecommuting, social isolation and social distancing practices become more common. Companies will focus more on the mental health and well-being of employees to avoid the disadvantages of limited face-to-face contact with people.

11. Supply chains will fragment and reconfigure themselves

Supply chains will further fragment with technology platforms integrating them. Multi-layered supply chains will emerge and track critical components including origin of supply and incremental value added. This would open up the exploration of new ways to deal with customers, manage inventory, optimize production and distribution, manage logistics and manage cash/capital.

In addition, as 5G internet becomes more accessible, the use of online internet systems will increase and consequently the risk of over-centralization will decrease. Traditional business strategy relies on market boundaries and competitors. In the post-COVID-19 era, companies must create new breakthrough value for their customers continuously, not just once. Unless companies adopt a global mindset and create strategic alliances and partnerships with others in the global, not just the local ecosystem, creating value in a rapidly changing business environment will be very challenging.

12. Industries will be forced to reinvent themselves, with upskilling and reskilling becoming a top priority

COVID-19 has accelerated the disruption to many industries that many scientists have been predicting for years. Almost all industries, including airlines, retail, hospitality, healthcare, education, construction and technology, will require a rapid transformation to their business models to remain viable. New business models and value chains will significantly increase the need for new skills.

Last year, the WEF warned of major disruptions to labor markets in 15 developed and developing countries, leading to a net loss of more than 5 million jobs and the creation of millions of new jobs. COVID-19 is already seriously affecting labor markets. To minimize the resulting adverse social and economic impacts, retraining and upskilling of the workforce will therefore become a top priority for many companies.

13. New thinking will drive future success

With the speed of change we are going through as a society, if people and companies do not change with our new reality, they will be left behind and it will be hard to catch up with the number of iterations of change. As technology-driven transformation is absolutely necessary, new ways of thinking for people will be the driving force behind successful implementation that will move businesses forward. Cultural change will become one of the most important drivers of companies' success in the post-COVID-19 era. The core rules, beliefs and assumptions that drive the culture will need to be re-evaluated with a new set of settings that drive employee and business success.

COVID-19 is undoubtedly challenging the status quo and conventional thinking in all industries, but recognizing some of the above trends and taking early action will help individuals and companies gain an edge in this world of disruption.

 

14. spending in the digital market is growing

Businesses must continue to reach consumers where they are most likely to see their message. As companies around the world continue their journey to recover from the onset of COVID-19, marketing teams are focusing on digital strategies, with the digital transformation market expected to grow from $511.90 million in 2021 to $1,446 .36 million USD by 2028.

Social media spending increased by 15% in 2021 and is expected to continue to grow. Social media is a focal point for interactive communication about everything from food and entertainment to social affairs. Digital marketers should research and learn what chords they need to strike to reach their target audience and harness the power of various platforms, including Facebook, Instagram, and LinkedIn.

15. Growth of e-commerce

During COVID, e-commerce saw a 10-year increase in three months. Online shopping really took over the world when people were locked down and told to stay at home. Online marketing giants like Amazon, Target, and Walmart have made great strides in their offerings and fulfillment that have changed the way people shop—probably forever. Corporate courtesies like same-day delivery took the sting out of being stuck at home and made shopping easily accessible to those who couldn't leave their homes. The numbers show that e-commerce is here to stay and will only grow stronger over time.

16. Big data will continue to grow

The total amount of data generated reached more than 79 zettabytes in 2021 and is predicted to reach 181 zettabytes within the next five years. Data, the new, is the critical factor that drives most technological trends, even though some believe it is leading humanity in a direction where billions are made from billions of wasted man-hours.

Understanding this vast amount of data and determining its value using analytics and big data techniques has been called the Internet of Behaviors (IoB) since 2012 – when the term was coined by Gote Nyman. Human-generated data, along with machine-generated data (through the Internet of Things and other similar sources), can be used by organizations to provide services and products that will better serve their customers.

Top 10 Technology Trends for the Next Ten Years: Is Your Business Ready?

17. Software - the future of programming

We are well and truly in the direction of low or no code programming. This would work in two different ways. First, neural networks and ML would write code to develop new software, or secondly, a graphical interface for programming. It would be possible to build complex applications (even AI applications) with simple modals and drag-and-drop actions. It will reduce the complexity and coding skills would not limit any individual!

For organizations, this would mean rapid scaling, greater deployment of data-enriched AI-based applications, lower development costs, and acceleration of large-scale digital transformation. A fundamental aspect that any organization could adapt to this shift in the programming paradigm would be to work on a cultural change towards agility and cross-functional collaboration. For Software 2.0 to succeed in any company, the business and IT aspects must converge and blend well. This will ensure the desired business and technological results.

18. Digital Humans - Life in the Metaverse is a challenge.

Our future as humans seems to be increasingly tied to digital technology. Concepts like the digital twin of a person are no longer from a science fiction movie, but are becoming a reality. Advances in technologies such as Augmented Reality (AR), Virtual Reality (VR), Augmented Reality (XR), and Digital Multiple Experiences (DMX) are combining to create a parallel virtual universe where avatars could exist as a digital twin of any individual. The recent launch of Metaverse – 3D virtual spaces has opened the floodgates for advancements in digital capabilities.

The COVID-19 pandemic has accelerated the process of digitized social and professional interactions, further reinforcing this concept of digital people. Organizations must be prepared for "digital people" as their customers compared to the current conventional ones.

19. Hyper Automation – More than just automating tasks

More and more technology is being invested in business processes and more automation is being introduced. Hyper automation is a systematic and business-focused approach to identifying, screening and automating everything in a company that can be automated. According to recent market research, hyper automation is no longer just an option for businesses to overlook; instead, it became the key to survival.

Technologies like AIOps and MLOps help overcome conventional automation that only focuses on automating repetitive tasks. Hyper automation facilitates scalability, consistency, accuracy, speed, remote operations, cost reduction and description of traditional business models.

Conclusion:

In the next 10 years, people, human behavior, business and business norms, employees, employers and their relationships will change completely adversely. Digital and social trends will have a big impact on technology. Artificial intelligence, software and working from home will also change work and business trends. Only those individuals, companies and industries that adapt to these social, digital and technological changes will survive and transform accordingly.

Oct 18, 2022

President Joe Biden's student loan forgiveness plan, now you can apply online, a great opportunity for deserving students.

 President Joe Biden's student loan forgiveness plan, now you can apply online, a great opportunity for deserving students.

by M. Arshad Sohail



Student loan forgiveness

The US government announced loan forgiveness to students. The Biden administration's student loan forgiveness page went live on Friday, allowing more than 10 million Americans to begin the process of at least some debt forgiveness. This loan waiver requires eligibility criteria to be met prior to applying for this loan. Most of the students applied at the very beginning of the day the portal was opened. The remaining can get the benefit of this waiver after applying early. The application deadline is December 31, 2023

#American students heard great news from the government

After the securitization of applications, loan waivers would be made available to deserving students. The program covers more than 40 million Americans who are eligible if they earned less than $125,000 as an individual or $250,000 for families in 2021 or 2020. Applicants can receive up to $20,000 if they have been a Pell Grant recipient, or up to $10,000 if they have not. please see further eligibility criteria.

#GOODNEWS FOR AMERICAN STUDENTS

The deadline is December 31, 2023, and the application, which is due in over a year, on December 31, 2023, is extremely short and simple, requiring little more than the applicant's contact information and social security number.

Applicants who apply for loan forgiveness will only need to apply once

The Ministry of Education warns beta users that the app will be available to turn on and off during the beta testing period as the technical team refines processes. There is no benefit to applications before the full launch, as applications submitted now will be processed when the form is officially launched. If you are using the Beta form, you will not need to resubmit your application if you are using the Beta version. Loan forgiveness through the beta version of the online application form. Students can download the application from the given link.

Processing of Application for forgiveness loan having just 5 minutes

Lots of people praise the application process and encourage others to do it as soon as possible, saying it took them less than a minute. The application process is simple, you do not need to apply or provide any documents. The Ministry of Education estimates that it will take applicants about 5 minutes to complete the form. You will need to provide your full names, date of birth, phone number and email address.

#Loan Forgiveness for US Students

According to data shared by the White House, 87% of the program's benefits go to people who earn less than $75,000 a year. In September, likely seeking to fend off legal challenges, the Biden administration announced changes to the plan that made more than 700,000 people ineligible for assistance. Affected borrowers are those who took out loans under the Federal Family Education Loan Program or the Federal Perkins Loan Program.

#President Joe Biden's loan forgiveness for US students

"All of this means that people can finally start digging out from under that mountain of debt, to get on top of their rent and utilities, to finally think about buying a house or starting a family or starting a business," Biden said in the documentary. announcement speech. He also announced that loan repayments, which were first suspended at the start of the coronavirus pandemic, will be suspended once again until December 31, 2022 this year.

Criticism of loan forgiveness

The Forgiveness Loan plan has drawn criticism on a major platform just after it was announced, with some criticizing debt forgiveness as "unfair" to people who have already paid off their loans. Senate Minority Leader Mitch McConnell of Kentucky called it "a slap in the face to every family who made sacrifices to save for college, every graduate who paid off their debt, and every American who chose a career path or volunteered enlisted in our armed forces. to avoid debt." Joe Biden announced his plan in late August, after years of protests calling for student debt relief. After all of that was taken and he made this decision for students.

Information needed to apply for student loan forgiveness

You'll also need to provide your Social Security number and confirm that you earned less than the income limits set for relief. For those who filed federal income taxes, you can find your adjusted gross income on line 11 of your IRS Form 1040 filed in 2020 or 2021.

You will receive an email confirming that your application has been accepted, but the application will not be processed until it is fully launched. The Department of Education will determine your eligibility for the debt forgiveness program and contact you if additional information is needed.

Conclusion

It is a better opportunity who deserves this loan. Students should take advantage of this kind of forgiveness. This government law is appreciated by most people but criticized by some people. Overall, this government act is appreciable because due to covid19 and financial crutch, a class of students have also been affected and they can take advantage of this relief and continue their studies with peace of mind..

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