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Nov 28, 2022

36 Top new technologies and trends in the coming year 2023

 

written by Arshad Sohail

We live in a time called the information age. New technologies emerge every day to make life easier, more advanced and better for everyone. The rate at which technology is evolving today is almost exponential. New technology helps business organizations reduce costs, improve customer experience and increase profits.

By 2030, nearly 50 billion devices will be connected to the Internet. As the COVID-19 pandemic accelerates businesses' journey to digital transformation, this goal is closer than expected. Knowledge of the latest IT technologies is key to advancing your career and discovering new opportunities.

Some of the top technology trends for 2023 are mentioned below:

Table of Content:

1.       1-Artificial Intelligence (AI) and Machine Learning (ML)

2.       2. Robotic process automation.

3.       3. Cloud computing and Edge Computing

4.       3. Quantum computing

5.       4. Virtual Reality (VR) and Augmented Reality (AR)

6.       5. Blockchain

7.       6. Internet of Things (IoT)

8.       7. 5G technology

9.       8. Cyber ​​Security

10.   9. Full Stack Development

11.   10. Computing power

12.   11. Datafication and codification

13.   12. Digital trust

14.   13. Internet Conduct

15.   14. Predictive analytics

16.   15. DevOps

17.   16. 3D printing

18.   17. AI-as-a-Service

19.   18. Genomics

20.   19. Wearables and Augmented Persons.

21.   20. Big data and advanced analytics.

22.   21. Smart spaces and smart places.

23.   22. Cloud and edge computing.

24.   23. Digital Augmented Reality.

25.   24. Digital twins.

26.   25. Natural language processing.

27.   26. Voice interfaces and chatbots.

28.   27. Computer vision and facial recognition.

29.   28. Autonomous vehicles

30.   29. Mass personalization and micro-moments

31.   30. 3D and 4D printing and additive manufacturing

32.   31. Nanotechnology and materials science

33.   32. Smart implants

34.   33. Interoperability and data sharing between healthcare entities

35.   34. Co-creativity of machines and extended design.

36.   36. Digital platforms.

1. Artificial Intelligence (AI) and Machine Learning (ML)

Artificial intelligence, also known as AI, started gaining popularity a decade ago. It still hasn't slowed down and will continue to be one of the leading technologies in 2021. Artificial intelligence is constantly evolving, and newer applications for this technology keep appearing on the scene. Today's most popular AI applications include image and speech recognition, navigation programs, voice assistants like Siri and Alexa, and much more.

Machine learning (ML) is part of artificial intelligence and uses supervised learning to learn new features. It has seen a massive increase in demand for skilled professionals, making it an attractive trend to watch. According to Forrester, AI and machine learning will be responsible for 9% of all new jobs in the US by 2025.

2. Robotic process automation (RPA)

Robotic Process Automation (RPA) uses multiple software and applications to automate business processes such as data collection and analysis, customer service, and other repetitive tasks that were previously managed by manual processes.

Like AI and machine learning, RPA is a fast-growing technology that automates many tasks in various industries. McKinsey analyzed that less than 5% of jobs today can be fully automated, but nearly 60% can be at least partially automated.

RPA offers several new career options and trajectories such as programmer, project manager, business analyst or consultant. It also opens doors to high-paying jobs with a moderate learning curve in leading organizations. Choosing this technology as a career path can pay off hugely for you.

3. Cloud computing and Edge Computing

Today, millions of data points collect information about users from various sources such as social media, websites, emails and web searches. As the amount of data collected grows exponentially, other technologies such as cloud computing fall behind in several situations.

Just ten years ago, Cloud Computing was one of the fastest growing technologies. However, it has become fairly mainstream, with major players such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform dominating the market.

As more organizations have adopted Cloud Computing, they have found several limitations in the technology. Edge Computing helps bypass the latency that Cloud Computing causes and helps organizations get data into the data center for processing.

Edge Computing will continue to grow with more IoT devices. Its market share is expected to reach $6.72 billion by 2022.

4. Quantum computing

Quantum Computing is a type of computing that focuses on the development of computer technology based on the principles of quantum theory. This theory explains the behavior of energy and materials at the atomic and subatomic level. In other words, it performs calculations based on the probability of the state of the object before the measurement, instead of just 0s and 1s.

Quantum Computing can easily query, analyze and take action on data, regardless of the source. It has played a major role in the prevention of COVID-19 and the development of new vaccines. These computers are exponentially faster than normal computers. Quantum Computing market revenue is expected to exceed $2.5 billion by 2029.

5. Virtual Reality (VR) and Augmented Reality (AR)

VR and AR have been popular for almost a decade. Virtual reality immerses the user in a new environment, while augmented reality enhances the user's existing environment. While their applications have so far mostly been associated with gaming and social media filters, simulation software such as Virtual Ship is also used to train ship captains in the US Navy, Army and Coast Guard.

A whopping 14 million AR and VR devices were sold in 2019. The global market for this trending technology is predicted to reach $209.2 billion by 2022, which means more job opportunities for professionals in this field.

By 2022, AR and VR are expected to be integrated into our daily lives much more deeply than today. They have huge potential and possible applications in training, entertainment, education, marketing and therapy or post-traumatic rehabilitation.

6. Blockchain

Blockchain has been popularized in the context of cryptocurrency and Bitcoin and the security it provides. However, it offers security that can be useful in several other ways. Blockchain can be defined as data that you can only add to, not remove or change. The result is many pieces of data that form a "chain", hence the name Blockchain.

The fact that existing data cannot be changed or deleted makes Blockchain a highly secure technology. Blockchains are based on consensus, which means that no single person or organization can take control of the data. There is no need for a third party to oversee the transactions. As more and more industries adopt and implement blockchains, the demand for skilled blockchain developers has also increased.

7. Internet of Things.

There are hundreds of real-life applications for the Internet of Things (IoT), from tracking activity with smart devices that connect to your phone, to remotely monitoring your home door or turning apps on and off. Businesses are also using IoT for many things, such as monitoring activity at remote locations from a central hub and predicting when equipment is going down so that corrective action can be taken before it's too late.

It is predicted that by 2030, over 50 billion devices will be connected via the Internet of Things. Worldwide spending on this technology is estimated to reach $1.1 trillion over the next two years.

8. 5G technology.

5G technology has the potential to change the way we see the online world. 3G and 4G technologies have changed the way we interact with mobile devices, enabling faster internet browsing, data services and increased bandwidth for live streaming.

5G aims to revolutionize our virtual interactions through the integration of AR and VR technology and better cloud gaming experiences. It will also be used in factories and businesses to monitor and streamline operations. 5G also has applications in road safety and rule enforcement, smart grid control, and smart retail experiences in the form of high-definition live cameras.

Telecom companies around the world are working to create 5G-ready services and devices. The technology was announced and rolled out in select locations in 2020, with a global launch in 2022.

9. Cyber ​​Security

Since the dawn of computing, cybersecurity has played a major role in ensuring a safer user experience. This is not a new trend, but as technology evolves rapidly, cyber security measures need to be constantly upgraded and improved. The number and intensity of threats and hacking attempts is increasing, which requires improving security protocols and strengthening systems against malicious attacks.

Data is the most valuable asset today and hackers are constantly trying to steal data or information. This is why cybersecurity will always be a trending technology and must constantly evolve to stay ahead of hackers. Demand for cybersecurity professionals is growing three times faster than any other technology occupation today. More and more businesses are realizing its importance, leading to businesses spending about $6 trillion on cybersecurity by 2022.

Cybersecurity job roles are changing from ethical hacker to security engineer to chief security officer. The salary is significantly higher than other technology job roles due to its importance in ensuring a secure user experience.

10. Full Stack Development

This is one of the latest industry trends within the software domain that is gaining momentum. It continues to grow as IoT becomes a more mainstream technology with a variety of applications. Full stack development covers front-end and back-end development of applications and websites.

Organizations are working to develop more user-friendly and comprehensive applications for their target audience. For this, a full-stack developer must have a deep understanding of server-side programming and web development. If you develop the skills needed to create a website, your services will always have a place in the industry. More and more businesses are moving to digital technologies every day, increasing the demand for web developers and designers.

11. Computing performance

The digital era has computerized every mobile device and application, firmly establishing the computing power of this generation. Data scientists have predicted that the infrastructure used to harness this computing power will only continue to evolve in the coming years. Computing power gives us advanced technologies that improve our lives and also creates more jobs in the technology industry. Fields like data science, data analytics, IT management, robotics, etc. have the potential to create the largest percentage of jobs in the country. Many international brands and companies hire from India because of the specialized training widely available in the country. The more computers our facilities need, the more specialized professionals will be needed and the economy will flourish as a result.

12. Datafication

As we convert parts of our lives into software and devices through data, we are undergoing datafication. In this process, data-driven technologies take over human jobs and tasks. Smartphones, office applications, industrial machinery and even AI devices all use data to interact with us and improve our lifestyles. Data has been a part of our lives for longer than you can imagine. Storing this data requires security, which has led to an increase in demand for data security specializations. IT professionals, data professionals, engineers, managers, technicians, all work in the same field. A career in the data field requires more skills than high-level qualifications. These skills can be acquired by taking some courses that teach you how the world of data works.

13. Digital trust

The world is getting tangled up and adapting to technology and mobile devices, leading to the development of high trust towards these technologies. The same trust also leads to a number of innovations. People believe that with various data security measures, technology can help us build a reliable, safe and secure digital world. This also leads to companies inventing and innovating new things without having to worry about data security. Cyber ​​Security, Ethical Hacking, etc. are a few specializations that can be used to enter this field. There are also a number of jobs available both nationally and internationally. Professional certifications and general courses are available for all courses that can lead to a high-paying job.

14. Internet Conduct

It is one of the fastest growing industry trends and has found application in almost every industry. IoB is a technology that uses data collected from user devices connected to the Internet. Large volumes of collected data are then analyzed and tracked to understand human behavior.

As more and more devices connect to the internet and more and more users adopt digital technology, this technology will play a significant role in the domain of Big Data, analytics, development and predictive analytics. You may have heard of IoT technology, which involves a network of physical devices connected to the Internet, where each device can communicate with another. In the future, more gadgets will become "smart" and be added to the network, such as cars and home appliances.

15. Predictive analytics

Predictive analytics is a software domain that helps businesses predict future customer behavior and trends. Some of the most common applications of predictive analytics are in risk management, marketing and operations. It is one of the most promising domains in data domain along with data science. If you want to enter the field of data, you can opt for data science, big data or predictive analytics. That way, you'll have future-ready skills that command among the highest salaries in the industry today.


 

16. DevOps

DevOps brings development and operations departments together within an organization to help improve and automate the software development process. DevOps has two leading applications within the organization:

By fostering collaboration between operations and development teams, businesses can ensure faster software upgrades and feature delivery to customers. It also means businesses see fewer errors and higher product quality.

17. 3D printing

3D printing has become a key technology used to create prototypes, especially in the industrial and biomedical fields. 3D printers allow you to create a real object from a printer! Needless to say, this cost-effective innovation is here to stay. Brands and companies working in the healthcare, data, and industrial sectors need 3D printing for their products, which has increased the demand for people specializing in machine learning, 3D printing, modeling, and artificial intelligence.

18. Artificial intelligence

Currently, there are several offerings as a service such as PaaS, IaaS, and SaaS. AI-as-a-service is a cloud-based solution that offers AI-based functionality. Several AI providers offer this service in several disciplines and industries. It enables AI organizations to access advanced features and capabilities without having to invest in expensive hardware or equipment maintenance.

19. Genomics

Can technology study your DNA and help you fight disease, improve health, etc.? Yes! The field of genomics uses technologies that can study the makeup of your DNA and genes, map them, etc. They also help quantify your genes, making it easier for doctors to find potential health problems lurking in the dark. Various technical and non-technical roles are available in this field. Technical work will involve analysis, design and diagnosis, while non-technical work will involve theoretical analysis and research.

The world of technology is rapidly evolving and trends change rapidly. As an IT professional, you need to stay on top of these trends to build a successful career. What's more, if you're looking for one area of ​​expertise to focus your career on, understanding how each of these technologies work, together and individually, will give you an edge over other candidates applying for the same job as you.

20. Wearables and Augmented Persons.

What started with fitness trackers has now expanded into an entire industry of wearable technology designed to improve human performance and help us live healthier, safer and more efficient lives. In the future, we may even see humans merge with technology to create augmented humans or transhumans.

21 Big data and advanced analytics.

Big Data refers to the exponential growth in the amount of data created in our world. Thanks to augmented analytics (highly advanced data analysis, often powered by artificial intelligence techniques), we can now understand and work with extremely complex and diverse data streams.

22. Smart spaces and smart places.

This trend is closely related to the Internet of Things, and thanks to this trend, physical spaces such as homes, offices and even entire cities are becoming increasingly connected and smart.

23. Cloud and edge computing.

Cloud computing, where data is stored on other computers and accessed over the Internet, has helped make data and analytics available to the masses. Edge computing, where data is processed on smart devices (such as phones), takes this to the next level.

24. Digital Augmented Reality.

This trend, which includes virtual reality, augmented reality and mixed reality, highlights the shift towards creating more immersive digital experiences.

25. Digital twins.

A digital twin is a digital copy of a real physical object, product, process or ecosystem. This innovative technology allows us to test changes and modifications that would be too expensive or risky to try on a real physical object.

26. Natural language processing.

This technology, which allows machines to understand human speech, has dramatically changed the way humans interact with machines, and this in particular gave rise to it.

27. Voice interfaces and chatbots.

Alexa, Siri, chatbots, many of us are now quite used to interacting with machines simply by speaking or typing a request. In the future, more and more companies will decide to communicate with their customers through voice interfaces and chatbots.

28. Computer vision and facial recognition.

Machines can talk, so why shouldn't they also see? This technology allows machines to visually interpret the world around them, facial recognition being a prime example. While we'll undoubtedly see more regulatory scrutiny over the use of facial recognition, the technology isn't going anywhere.

29. Autonomous vehicles.

2020 will be the decade in which autonomous vehicles of all kinds—cars, taxis, trucks, and even ships—become truly autonomous and commercially viable.

These aircraft, which are controlled either remotely or autonomously, have changed the face of military operations. But the impact doesn't stop there. Search and rescue missions, firefighting, law enforcement and transportation will all be transformed by drone technology. Get ready for personal drones (drone taxis) too!

30. Mass personalization and micro-moments.

Mass personalization is, as you might expect, the ability to offer highly personalized products or services on a mass scale. Meanwhile, the term micro-moments essentially means responding to customer needs at exactly the right moment. Both are possible thanks to technologies such as AI, Big Data and analytics.

31. 3D and 4D printing and additive manufacturing.

 Although it may seem low-tech compared to some other trends, 3D and 4D printing will have very wide applications and will be especially transformative when combined with trends such as mass personalization.

32. Nanotechnology and materials science.

The growing ability to understand materials and manipulate matter on a small scale is giving rise to exciting new materials and products such as bendable displays.

It may still sound like science fiction, but nanotechnology is slowly entering our everyday lives. By the end of 2021, fantastic news has spread around the world: scientists have created small organic robots. which are capable of self-replication. So it is safe to assume that 2023 may bring a lot of revolutionary news in the field of nanomedicine. The nanomedicine industry offers huge potential and welcomes early investors.

The use of nanoscale (microscopically tiny) materials and objects such as biocompatible nanoparticles, nanoelectronic devices or even nanorobots for specific medical purposes and manipulations such as diagnosis or treatment of living organisms.

33. Smart implants in surgery.

The volume of opportunities for 3D printing in the medical field is estimated to be more than 6 billion USD by 2027. 3D printing of biocompatible implants is not a new method in 2023, but the technology will definitely become more reliable and accessible to a wider range of patients, with new materials and more sophisticated methods of prosthetics.

Specifically, it is expected that advances in 3D bioprinting technology may offer improvements in the following areas: Reduction of manufacturing time and cost for implants and bionic prostheses. More affordable customized bionic prostheses for knees, spine, skull, hips, etc.

Custom or personalized design of surgical instruments and medical devices. New generations and types of implants, implant engineering and implant materials expected to perform better, match better and last longer.

 34. Interoperability and data sharing between healthcare entities

It is common for each clinic to have its own patient history database. With this approach, patients must undergo comprehensive diagnostics every time they see a new health care provider, which means double the cost of repeat procedures.

Interoperability involves the creation of a universal database that can be accessed by all clinics that serve a particular patient. Because the systems of the human body are interconnected, a comprehensive medical picture can support much better outcomes than a limited data set that includes a few reported symptoms but not the underlying reasons for health disorders. 2023 takes health interoperability projects to the next level.

35. Co-creativity of machines and extended design.

Thanks to artificial intelligence, machines can do many things, including creating artwork and designs. As a result, we can expect creative and design processes to shift towards greater collaboration with machines.

36. Digital platforms.

 Facebook, Uber, and Airbnb are all well-known examples of networks of digital platforms that facilitate connections and exchanges between people. This trend is turning established business models on their head and leading many traditional businesses to move to or incorporate the platform.

Final note

Technology has become a key part of our society. Without technological advances, much of our daily life would be drastically different. As technology evolves, it strives to meet the changing needs of society. Technology advances as society evolves. That being said, the value is different for everyone and varies according to how much people value technological and scientific advances in their own lives. The future is only technology. In 2023, these people and/or businesses could not adapt to the new technologies being prepared, they will not fulfill their individual and business goals.

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.

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