What Are Explainable AI Principles?

Explainable AI principles are the fundamental and essential instructions and guidelines for the AI system, explaining how AI systems should work correctly. It has main two approaches:

The Transparent Models

Such types of models are transparent. They are simple, understandable, and comprehensive.

The Black-Box Models

The black-box models are mirrored or mimicked the form of original models. They are explainable only by separate and replicated models as they are black-box in nature.

What does Explainable AI Really Mean?

US National Institute of Standards and Technology (NIST) has developed basic explainable AI principles, such as:

Explanation

According to the first explainable AI principles, an AI system must explain the results and outputs. Explanation type may vary with the accordance of user’s system and field. The NIST has mentioned the following classes and categories for explanations:

Information

This type of explanation ensures the benefit of the user or the customer by giving the information of the output and outcomes. For example, a loan processing system explains the denial or the acceptance of the application for a loan.

Trust And Acceptance

This category of explanations is designed to satisfy users or customers to achieve trust and acceptance. An example of a loan application processor also falls in this category.

Regulation

Such an explanation for AI work meets the compliance and regulatory demands and needs. Audit and scrutiny done by AI system must be explainable. For example, in the case of healthcare.

Maintain And Develop

These explanations are built to help maintain and develop AI logic and algorithms.

Beneficial For System Owners

These explanations help to benefit the owner of the system. For example, a recommender system gives a reason for the given recommendation to the owner.

Meaningful

The second explainable AI principle depends on the versatility of the first explainable AI principle. The understanding of the user relies on the versatility of the given explanation. Even if various explanations have been provided, it’s up to users to interpret. Interpretation and understanding of the explanations vary from person to person due to the unique cognitive and psychological capabilities. There is a variety of AI system users.

Accurate

The AI system should be accurate and precise in giving output and results. AI content marketing is also getting popular just because of enhanced accuracy. The third explainable AI principle centers around the explanations’ accuracy, precision, and truth.

Explanations should be:

  • Accurate
  • Precise
  • Clear
  • Transparent
  • Understandable
  • Comprehensive

Limits

The fourth explainable AI principle rotates around the significant concept of knowledge limits. An AI system must identify and analyze its limits, preventing inaccurate results and outputs. Knowledge limits of the AI system helps to ensure the other three explainable AI principles. It reduces the risks and chances of misleading and wrong outcomes and decisions.

Importance and Significance of Explainable AI

What-Are-Explainable-AI-Principles1

Explainable AI plays a crucial role in several industries. It is significant in the following ways:

Compliance Assurance

It verifies the explanation given and regulates and complies with the demands.

Unbiased

It ensures the system provides fair, transparent, and unbiased results and outputs.

Offers Relief to System Users

On the automation of several operations, system users feel relief to use AI systems.

System Optimization

Explanation helps in optimization as identifying, repairing, and fixing becomes easy.

Benefits of Explainable AI

Explainable AI ensures the following benefits:

  • Operationalization of AI
  • Speed time
  • Mitigate risks

Capabilities of Explainable AI

Capabilities of explainable AI are as follows:

  • Monitoring
  • Visualizing
  • Tracking the insights
  • Configuring

Which Industries are Affected by Explainable AI the Most?

Several industries are directly affected by explainable AI, such as healthcare, manufacturing, automotive, and finance. The involvement of explainable AI is explained as follows:

Explainable AI in Manufacturing

Explainable AI has several applications in the manufacturing industry. It makes it easier for the industry to adopt due to understandable and straightforward logic. It helps the manufacturing industries in the following ways:

  • Explainable AI helps in predictive maintenance.
  • It monitors and regulates the inventory.
  • Logistics optimization is enhanced directly.
  • Explainable AI ensures accurate and precise analysis via its analytic capabilities.

EES improves capacity, energy, and cost management with Artificial Intelligence consulting services. We are bringing the industrial revolution by AI-driven market insights and process automation for completing day-to-day operations effortlessly. Every component of virtual assistance is designed to fulfill your professional goals.

Explainable AI in Healthcare

Artificial intelligence and machine learning serve a vital role in healthcare. It provides the following services to the healthcare department:

  • Artificial intelligence can save time and effort by performing repetitive tasks.
  • AI uses algorithms, which help in diagnosing disorders and diseases.
  • It can spot and screen the condition and symptoms that are not visible to the naked eye.
  • Artificial intelligence allows doctors to get more accurate and precise results and reports.
  • It prescribes the most appropriate treatment and cure for the specific disease.

Explainable AI in Finance

Explainable AI ensures financial knowledge, financial management, and financial stability. AI helps in finance in the following ways:

  • It ensures fair credit scoring.
  • It helps to improve and advance market forecasts.
  • Customers can get unbiased, fair, and transparent reports and results.
  • It maintains, monitors, and regulates fair and ethical practices.
  • It optimizes the portfolios for investment.
  • It manages the insurance claims.

Benefits of narrow artificial intelligence

We can beat humans in a single task with narrow artificial intelligence systems. Among the benefits of narrow artificial intelligence is a system that uses x-ray images to detect cancerous growths more quickly and accurately than a radiologist.

However, a predictive maintenance platform can analyze sensor data in real-time. It is a job that is almost impossible for humans or groups of people to do. It is highly challenging to forecast when a machine part can or will fail and thereby prevent it from malfunctioning in the future.

Age of Artificial Intelligence

In many ways, artificial intelligence (AI) is engulfing us in the modern age. People of all walks of life are attempting to picture the future as this exponential technology improves. Defining artificial intelligence has become more complex due to a steady stream of new information.

Only a few of us are capable of defining artificial intelligence. As with other popular buzzwords like “robots,” most of us wrongly use them as synonyms.

Weak AI, often known as artificial narrow intelligence, is the current state of artificial intelligence in our world (ANI). Narrow artificial intelligence is used for specialized tasks like weather forecasting, playing chess, or analyzing raw data to write news stories.

Examples of Narrow Artificial Intelligence

Many narrow AI systems exist, but they all rely on data collection to accomplish a specific goal. Aside from their primary function, these systems are limited in their capabilities. Unlike humans, narrow artificial intelligence cannot see, feel, or express emotions in the same way. Strong artificial intelligence acts inside a set range, despite its appearance.

For example, narrow artificial intelligence comprises all forms of current machine intelligence. Natural language processing systems like Siri and google translate are examples of narrow AI.

Human-computer communication and language comprehension are possible with these “weak” artificial intelligence systems, but their intelligence pales compared to that of humans.

They lack self-awareness, consciousness, and natural intelligence instead of human cognition. This means they are unable to make their own choices.

Benefits of Narrow Artificial Intelligence

There are many benefits of narrow artificial intelligence. Some of them are explained below:

Mimicking Human Behavior

The objective of narrow AI, which takes a logical approach, is to mimic human behavior. The vast majority of the time, it sifts through massive amounts of data and extracts just what is necessary. However, the real benefit is when contextually stacking searches and reports to develop proper situations. Context, context, context – the three Cs are brought to life in this case.

Siri, for example, is a terrible illustration of weak artificial intelligence. Such as “where can I get a cup of coffee nearby?” is ordinary. As soon as you choose a choice, you will be shown a matching pinpoint on the map. This is a tepid response in light of what technology is capable of now.

A narrow artificial intelligence may be programmed to locate nearby coffee shops and the most efficient means of transportation, their travel times, and other relevant information, such as bus stops, railway stations, and so on. However, the directions and travel times would be divided according to the method of transportation.

To add to the fun, you can find out about the weather nearby attractions and even let friends know that you will be at the coffee shop through email or social media (and at what time).

The Lowdown for Business

Your company can develop a mobile-first iPhone business solution to demonstrate how narrow artificial intelligence is used contextually and multi-layered. A calendar invitation must be given or accepted by the user using any calendar service for lowdown to work (google, outlook, etc.).

Once the app has been downloaded, it automatically generates upcoming meetings. Travel options are shown, as well as when and how long it will take to get to the meeting location, profiles of attendees and companies, and recent tweets and email exchanges. It is all right there in front of you.

Utilizing an app, you may do this in a matter of seconds, saving you the time and effort of searching the internet, using calendars, timetables, or maps. Tracking attendees’ emails and tweets are easy, and responses may be sent quickly.

The lowdown concept can be easily integrated into corporate diary systems with access to internal material. For example, business executives will know precisely where and when the meeting will take place and who will be in attendance and what documents they will need.

Prospects of Benefits of Artificial Intelligence for Businesses

 

narrow artificial intelligence

It is also possible to download apps that can help you discover information. Care into the people around you, whether you are searching for someone to look after your children or a teacher, or even learn more about the neighborhood. The potential of narrow artificial intelligence is limited, but it is unmatched for better organization and information gathering.

“Autonomous weapons” refers to weaponry fitted with artificial intelligence (AI). If in the wrong hands, these weapons can cause enormous devastation. As a result of an artificial intelligence arms race, an artificial intelligence war might end in catastrophic extinction.

In the event of an assault, weapons like these would be brutal to “turn off,” making it conceivable for humans to lose control of them. There is a risk at modest levels of artificial intelligence and autonomy, but it rises as these levels develop.

Conclusion

Despite its lack of complexity, there are wide ranges of benefits of narrow artificial intelligence to individuals and organizations alike. Scan and gather critical information from the whole web with incredible accuracy in a fraction of a second. Furthermore, narrow artificial intelligence may be trained to send specific information to certain third parties and update any information supplied automatically.

25+ Artificial Intelligence Statistics and Facts In 2022

We all know this is the world where Artificial Intelligence has taken over every business and every life. AI has made some tremendous advancements making people believe its importance. For all the good reasons, we recommend you utilize AI in your lives. After all, we all need refined life, and AI has the ability to transform your typical lives into something extraordinary.

If you wish to compete with the new challenges of IT, contact EES for artificial intelligence consulting. We will help you gain maximum utilization of AI in technical and straightforward deliveries. Our team implements top-class machine learning and automation strategies for development.

Shocking Artificial Intelligence Statistics of 2019

  • In March 2019, 279,145 AI patent applications were in frequent use in the United States.
  • Chatbots are one of the hot topics when it comes to AI. Almost 80% of the market dealers were using chatbots for a better customer experience in the previous year.
  • In 2019, almost 40% of the native US population was using voice search.
  • For the machine learning industry, the US gave funding worth $37 billion in 2019

Interesting AI Statistics Everyone Should Know in 2022

  • With the increased demand for robotics and assistants, the number of AI-powered voice assistants is predicted to cross 8 billion by the end of 2023
  • Since 2000, trends of investing in AI startups have increased six times. And, if we talk about the two last decades, the number has grown 14 times.
  • If we talk about 2025, the international AI market will be accomplishing a revenue of $150.6-$190.61 billion.
  • The Asia-Pacific region has been placed on the first spot for experiencing the highest CAGR from 2018 to 2025
  • Surprisingly, the worldwide AI market is anticipated to reach nearly before 2025 as per the AI statistics
  • Apart from voice assistants, AI has many advantages in every field regardless of the industry niche. That’s why AI is predicted to kill almost 6-8% of human jobs by the end of 2021.
  • As per the reports, Artificial Intelligence has the potential to upsurge the productivity of your business by 40%
  • In terms of business personalization, approx. 71% of marketers consider AI an effective technique
  • The practice of AI has played a vital role in increasing GDP. We can say the global GDP will be growing to $31.2 billion in 2025 and $15.7 trillion by the end of 2030. Back in 2018, it was only $1.62 billion. What incredible progress!
  • As the global statistics say, 75 countries are implementing AI technology in their surveillance techniques.
  • Oh, we all know how Netflix has gained fame. AI-powered Netflix’s recommendations are worth $1 billion annually.
  • Considering the past 4years, AI usage has expanded by 270%. How? Because nearly 77% of every device we use has one or another feature supported with AI.
  • The United States is known to have the maximum Alexa’s inventory skills (nearly 66.000 skills)
  • The original data of International Data Corporation suggests that Europe will be spending more than $12 billion on AI in 2021. That is not all! This value is undoubtedly going to be doubled by 2024.
  • The abrupt surge in AI is predicted to deliver over $2.29 trillion of business value in 2021
  • All those who have not used AI need to invest right away, as 75% of executives will go out of business in a span of 5 years.
  • The 2nd most critical implementation of AI is automating tasks as per the word of 20% of businesses in AI statistics
  • Only 7% of companies are not using AI on the global level, but they are enthusiastic about implementing soon.
  • Ai has been a vital part of addressing data quality problems. Besides, almost 48% of global companies use data analysis, machine learning, or other AI tools.
  • The predicted AI yearly growth rate from 2020 to 2027 is 33.2%
  • For enhancing the efficiency of email marketing, over 87% of companies have implemented AI
  • Have you ever heard about robot pets? Well, if you have not, you need to! Because there are going to be robot pets with the ability to make an emotional connection. And it will all be done by 2025.
  • The strength of the AI chip market has been seen in the past years, and depending on the gathered data, universal AI chip market revenue will probably cross $83.25 billion by the end of 2027.

China and AI (Artificial Intelligence)

China is planning to make the best out of AI for achieving global economic dominance by 2030. Well, there is much more to it. An unbelievable increase of 500% has been observed in the annual robot installations. And this practice has been in implementation since 2012. In the near future of 2030, China will become the world groundbreaker in the AI niche, having 26.1% of the international market share.

AI role in Customer Satisfaction

On the darker side, the surveys say that 43% of the consumers think Artificial Intelligence will be lowering customer satisfaction. But, almost 27% of users acknowledge the use of AI delivering either equal or better customer service than humans.

A small portion of 34% of the sales and marketing leaders trust the efficiency of AI and consider it a massive game-changer in improving customer experience. People are inclined to implement automation technologies across every marketing and customer service team, and 51% of eCommerce players have already executed it to offer a seamless user experience.

The Pros and Cons of Artificial Intelligence In Mobile Apps

Interested in using AI to help develop your mobile applications? To know how AI can be applied to various types of applications, it is essential that you understand its workings. The personal shopping assistant app combines several options at your fingertips with the best prices similar to a virtual personal shopper app. Booking and reservation services, ticket purchase and delivery, and personalized service are included.

With virtual assistant applications, you can manage your utilities, social media, financial institutions, calendar, and more all from one place. It helps you remember what needs to be done and when. Moreover, they include a voice-activated to-do list to make it easy for you to keep track of your schedule.

In EES’s artificial intelligence consulting services, our experts devise strategies and provide impactful advice for better implementation and faster development of AI applications and machine learning models to help businesses offer high reliability, high performance, and high manageability.

Manage daily tasks with ease, convenience, and savings with virtual manager apps Comfortable. As well as providing vendor service rates and restaurant menus, virtual manager apps help you manage your utilities. They are similar to online consultants.

Pros

Easily Complete Time Taking Tasks

Due to its ability to accomplish and finish tedious tasks that humans otherwise found tedious, Artificial Intelligence (AI) has played a crucial role in mobile app development. Using careful and intricate automation, AI machines can work for long periods without reducing their ability to produce. Since mundane tasks are removed from the human workload, these apps have more time to handle more significant tasks.

Daily Application

Everyone can benefit from artificial intelligence in their daily lives. AI applications in tourism and travel can detect locations more efficiently through augmented reality. Computer-generated images can be superimposed on the actual worldview of the user, improving their perception of the environment. Using artificial intelligence for spelling correction and predictive writing is also possible. AI helps with identifying people on social media and tagging them when posting photos.

A Lower Error Rate

The importance of AI machines is especially high in fields that require exceptional precision and accuracy. Space exploration is a good example of this. A number incorrectly placed in space exploration could destroy the entire process. There are no margins for error. As a result, AI plays a crucial role in processing complex numbers. AI robots are also designed to aid in space exploration. They are made to withstand the space’s harsh atmosphere. Their acclimatization is such that they are not susceptible to modification, disfigurement, or breakdown by the hostile atmosphere of space.

Experiencing Difficulties

Humans can’t explore some places on earth because they are impossible and difficult. The ocean floor is one such place. Pressure is high on the ocean floor, and this would crush any human presence. Unique materials can be used to make intelligent robots that can withstand the water pressure on the ocean’s floor. Mining can also be facilitated by using intelligent robots. The robots are designed to perform complex tasks without becoming fatigued.

Easy Cross-Platform Integration

Designers and coders are not all the same. In programming, however, cross-platform applications are becoming increasingly popular. App development for mobile devices has become more accessible due to the emergence of platforms for creating apps with only a limited understanding of the process. By creating tools that enable individuals to learn how to create mobile apps on their phones with no real understanding of the technology, and by helping them to learn the methodologies related to the software, artificial intelligence has made all of these possible.

Cons

Insufficiency of Creativity

Developing mobile applications requires a lot of imagination, creativity, and vision. A human can only imagine a design and make it a reality. In spite of its intelligence, artificial intelligence has a limited processing power that is bound by programmable algorithms. While AI can assist with certain sections of blueprint design, it cannot be creative like the human mind.

Job loss

Since AI machines can perform first-level routine tasks, they pose a direct threat to professionals with average skill sets or those who are still learning. Automation of the supervision system can reduce the amount of labor needed in an assembly line role at firms that develop mobile apps.

Cost

Cost is another important factor in determining whether AI is feasible after the lack of creativity and loss of jobs. Cost may be a case-specific factor for companies that develop mobile apps. Mobile app development solutions that use AI tend to be very expensive. AI is limited in vision and requires frequent updates to produce the desired outcome. As a result, maintenance and management costs increase. Thus, companies with massive scale and ambitious projects are more likely to leverage their AI investment than small businesses.

A Lack of Experience Adjustment

Even the best AIs lack the judgment calls associated with humans. Businesses often require judgment calls from owners rather than calculations and algorithms. In Australia, people called Uber to escape the shooting during the 2014 Sydney shooting. It decided not to help those in need but instead hiked the price according to demand and supply economics.

Less Spontaneous and Fairly Naive

A human’s insight depends on a cognitive knowledge process that involves real-time observation and experience. The AI machines used in the development of mobile apps are different and are robotically programmed. Artificial intelligence fails to access and analyze the information as efficiently as humans do, despite storing massive amounts of information.

AI machines cannot adapt their actions and responses to changing needs. In order to make sensible decisions such as judging the efficiency of two people, it lacks the human touch. The human mind is better at making firm decisions based on natural spontaneity and common sense than artificial intelligence.

Understanding How AI Can Enhance Datacenter Security: 8 Powerful Attributes

Artificial Intelligence and Data Center Security

Data centers are vulnerable to many cyber-attacks. Especially now that almost every business can leverage and implement AI data collection and analysis solutions for diverse purposes.

A breach of data can be exceedingly harmful!

Industrial revolution 4.0. has created a data culture that allows businesses to leverage Artificial Intelligence for the enhancement of datacenter security and design business models that make data a substantial asset and key element of all company activities.

Cybercriminals now develop novel approaches to steal data from datacenters. Hackers frequently build complex malware and schedule cyber assaults that can enter the data networks of corporations. Hackers can easily use such software to access the private data of millions of people. For example, a security investigator revealed some major infringements, lately exposing millions of emails and passwords.

Searching and analyzing cyber assaults is quite a labor-demanding task for cyber-security professionals. Hence, let analyze how AI can revolutionize data center security.

How Can AI Enhance Datacenter Security?

Data violations are emerging more frequently in data-driven companies and every firm is rapidly employing cybersecurity specialists to investigate emerging cyber assaults and to develop tactics for preventing and mitigating them.

Businesses that employ Artificial Intelligence in their data center network can enhance their capacity to automate routine network activities, improve security, and identify cyber threats based on changes in behavior.

EES has the goal of securing your information from external and internal threats. With our data center security consulting and services, you never have to compromise on confidentiality and integrity. We implement proven methodology and deep tech expertise.

You can easily identify loopholes in your system and make significant improvements to your datacenter security management:

  1. You can automatically evaluate events and inputs from many systems and supplement security incidents and Event Management solutions. For example, a human cannot efficiently monitor events when over 20,000 occurrences get registered at once.
  2. Artificial Intelligence-based technologies can aid the identification of false positives’ harmful traffic and enable data center operators to address cybersecurity risks quickly and efficiently.
  3. You can also automate how you gather and analyze business information, scan code and vulnerabilities in infrastructure, and configuration mistakes. You can easily optimize the usage of security tools and learn from experience to adapt better.
  4. Artificial Intelligence recognizes drifting compliance in the data center and then adjusts and writes a new firewall rule for reverse control.
  5. If anything is moving from one data center to another, or from the same data center, artificial intelligence can write and rewrite firewall rules. In addition, input and outgoing data can get screened carefully and evaluated for security dangers.
  6. AI helps automate the security and maintenance of data centers in the future. If a security assault occurs today, server security employees must get secured manually. In addition, many maintenance jobs are still manual, such as getting rid of defective servers or storage devices. When robotics get added to the mix, data centers may be autonomous and human-free.
  7. The latest technology allows you to instruct robots to carry out delegated maintenance duties in the future. This means better service quality (QoS) at reduced operating costs.
  8. Artificial Intelligence service providers uphold strong financial incentives. With more AI-based security solutions, data centers can benefit from reduced operating costs and higher efficiency. It is a win-win for AI and data center suppliers both.

Google’s achievement in reducing its data center expenses by using deep learning has encouraged many entrepreneurs to leverage AI and improve their data center operations with quick identification of abnormalities.

Over four years, QTS created its software-driven Service Delivery Platform (SDP) and artifact engine for digitizing, aggregating, and analyzing over 4 billion (per day) data points across IT environments for all QTS clients. QTS is the first and only multi-tenant data center operator with a powerful Artificial Intelligence, Machine Learning, and Virtual Reality based software-defined management platform.

Artificial Intelligence and Data Center Security

Data centers are vulnerable to many cyber-attacks. Especially now that almost every business can leverage and implement AI data collection and analysis solutions for diverse purposes.

A breach of data can be exceedingly harmful!

Industrial revolution 4.0. has created a data culture that allows businesses to leverage Artificial Intelligence for the enhancement of datacenter security and design business models that make data a substantial asset and key element of all company activities.

Cybercriminals now develop novel approaches to steal data from datacenters. Hackers frequently build complex malware and schedule cyber assaults that can enter the data networks of corporations. Hackers can easily use such software to access the private data of millions of people. For example, a security investigator revealed some major infringements, lately exposing millions of emails and passwords.

Searching and analyzing cyber assaults is quite a labor-demanding task for cyber-security professionals. Hence, let analyze how AI can revolutionize data center security.

How Can AI Enhance Datacenter Security?

Data violations are emerging more frequently in data-driven companies and every firm is rapidly employing cybersecurity specialists to investigate emerging cyber assaults and to develop tactics for preventing and mitigating them.

Businesses that employ Artificial Intelligence in their data center network can enhance their capacity to automate routine network activities, improve security, and identify cyber threats based on changes in behavior.

You can easily identify loopholes in your system and make significant improvements to your datacenter security management:

  1. You can automatically evaluate events and inputs from many systems and supplement security incidents and Event Management solutions. For example, a human cannot efficiently monitor events when over 20,000 occurrences get registered at once.
  2. Artificial Intelligence-based technologies can aid the identification of false positives’ harmful traffic and enable data center operators to address cybersecurity risks quickly and efficiently.
  3. You can also automate how you gather and analyze business information, scan code and vulnerabilities in infrastructure, and configuration mistakes. You can easily optimize the usage of security tools and learn from experience to adapt better.
  4. Artificial Intelligence recognizes drifting compliance in the data center and then adjusts and writes a new firewall rule for reverse control.
  5. If anything is moving from one data center to another, or from the same data center, artificial intelligence can write and rewrite firewall rules. In addition, input and outgoing data can get screened carefully and evaluated for security dangers.
  6. AI helps automate the security and maintenance of data centers in the future. If a security assault occurs today, server security employees must get secured manually. In addition, many maintenance jobs are still manual, such as getting rid of defective servers or storage devices. When robotics get added to the mix, data centers may be autonomous and human-free.
  7. The latest technology allows you to instruct robots to carry out delegated maintenance duties in the future. This means better service quality (QoS) at reduced operating costs.
  8. Artificial Intelligence service providers uphold strong financial incentives. With more AI-based security solutions, data centers can benefit from reduced operating costs and higher efficiency. It is a win-win for AI and data center suppliers both.

Google’s achievement in reducing its data center expenses by using deep learning has encouraged many entrepreneurs to leverage AI and improve their data center operations with quick identification of abnormalities.

Over four years, QTS created its software-driven Service Delivery Platform (SDP) and artifact engine for digitizing, aggregating, and analyzing over 4 billion (per day) data points across IT environments for all QTS clients. QTS is the first and only multi-tenant data center operator with a powerful Artificial Intelligence, Machine Learning, and Virtual Reality based software-defined management platform.

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