How "DARQ" Innovating and Bringing Light to Business? The Essential Objectives, Applications and Results in Business Transformations!
Distributed ledger technology (DLT) has the potential to revolutionize a wide range of industries and applications.
Financial services:
DLT has the potential to transform the financial industry by streamlining and automating many processes, such as clearing and settlement, trade finance, and identity verification. For example, DLT can be used to facilitate cross-border payments, reduce the risk of fraud, and improve the efficiency of financial transactions.
Supply chain management:
DLT can be used to improve the traceability and transparency of supply chains by providing a secure and immutable record of transactions and interactions between different parties. This can help reduce the risk of errors, fraud, and counterfeiting, as well as improve efficiency and accountability.
Healthcare:
DLT can be used to securely store and manage patient health records, as well as facilitate the exchange of data between healthcare providers. It can also be used to improve the efficiency and transparency of clinical trials and drug supply chains.
Government and voting systems:
DLT can be used to improve the security and transparency of voting systems by providing a secure and auditable record of votes. It can also be used to improve the efficiency and transparency of government processes, such as the issuance of licenses and permits, and the management of public records.
Real estate:
DLT can be used to improve the efficiency and security of real estate transactions by automating many processes and providing a secure and transparent record of ownership and transfer of property.
Identity verification:
DLT can be used to create secure and verifiable digital identities that can be used for a variety of purposes, such as verifying the identity of individuals for financial transactions or voting.
Intellectual property:
DLT can be used to securely store and manage intellectual property rights, such as patents and trademarks, by providing a transparent and immutable record of ownership and transfer.
Energy:
DLT can be used to facilitate the trading of renewable energy credits and improve the efficiency and transparency of energy markets. It can also be used to manage and track the production, distribution, and consumption of renewable energy.
Music and media:
DLT can be used to improve the efficiency and transparency of the music and media industry by automating the licensing and royalty process and providing a secure and transparent record of ownership and distribution of content.
Charity and aid:
DLT can be used to improve the transparency and accountability of charitable donations and aid by providing a secure and transparent record of transactions and the use of funds.
1. AI Application in E-Commerce
Personalized Shopping
Artificial Intelligence technology is used to create recommendation engines through which you can engage better with your customers. These recommendations are made in accordance with their browsing history, preference, and interests. It helps in improving your relationship with your customers and their loyalty towards your brand.
2. Applications Of Artificial Intelligence in Education
Although the education sector is the one most influenced by humans, Artificial Intelligence has slowly begun to seep its roots into the education sector as well. Even in the education sector, this slow transition of Artificial Intelligence has helped increase productivity among faculties and helped them concentrate more on students than office or administration work
Personalized Shopping
Artificial Intelligence technology is used to create recommendation engines through which you can engage better with your customers. These recommendations are made in accordance with their browsing history, preference, and interests. It helps in improving your relationship with your customers and their loyalty towards your brand.
AI-Powered Assistants
Virtual shopping assistants and chatbots help improve the user experience while shopping online. Natural Language Processing is used to make the conversation sound as human and personal as possible. Moreover, these assistants can have real-time engagement with your customers. Did you know that on amazon.com, soon, customer service could be handled by chatbots?
Fraud Prevention
Credit card frauds and fake reviews are two of the most significant issues that E-Commerce companies deal with. By considering the usage patterns, AI can help reduce the possibility of credit card fraud taking place. Many customers prefer to buy a product or service based on customer reviews. AI can help identify and handle fake reviews.
3. Applications of Artificial Intelligence in Lifestyle
Artificial Intelligence has a lot of influence on our lifestyle. Let us discuss a few of them.
Autonomous Vehicles
Automobile manufacturing companies like Toyota, Audi, Volvo, and Tesla use machine learning to train computers to think and evolve like humans when it comes to driving in any environment and object detection to avoid accidents.
Spam Filters
The email that we use in our day-to-day lives has AI that filters out spam emails sending them to spam or trash folders, letting us see the filtered content only. The popular email provider, Gmail, has managed to reach a filtration capacity of approximately 99.9%.
Facial Recognition
Our favorite devices like our phones, laptops, and PCs use facial recognition techniques by using face filters to detect and identify in order to provide secure access. Apart from personal usage, facial recognition is a widely used Artificial Intelligence application even in high security-related areas in several industries.
Recommendation System
Various platforms that we use in our daily lives like e-commerce, entertainment websites, social media, video sharing platforms, like youtube, etc., all use the recommendation system to get user data and provide customized recommendations to users to increase engagement. This is a very widely used Artificial Intelligence application in almost all industries.
The function and popularity of Artificial Intelligence are soaring by the day. Artificial Intelligence is the ability of a system or a program to think and learn from experience. AI applications have significantly evolved over the past few years and have found their applications in almost every business sector. This article will help you learn the top Artificial Intelligence applications in the real world.
What is Artificial Intelligence?
Artificial Intelligence (AI) is machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve specific problems. AI is a combination of Machine Learning techniques and Deep Learning. Types of Artificial Intelligence models are trained using vast volumes of data and have the ability to make intelligent decisions.
AI Facts and Figures
- According to Statista, revenue from the Artificial Intelligence (AI) software market worldwide is expected to reach 126 billion dollars by 2025.
- As per Gartner, 37% of organizations have implemented AI in some form. The percentage of enterprises employing AI grew 270% over the past four years.
- According to Servion Global Solutions, by 2025, 95% of customer interactions will be powered by AI.
- A recent 2020 report from Statista reveals that the global AI software market is expected to grow approximately 54% year-on-year and is expected to reach a forecast size of USD $22.6 billion.
Let’s now take a look at how the application of AI is used in different domains.
What are the Applications of Artificial Intelligence?
Here is the list of the top 18 applications of AI (Artificial Intelligence):
1. AI Application in E-Commerce
Personalized Shopping
Artificial Intelligence technology is used to create recommendation engines through which you can engage better with your customers. These recommendations are made in accordance with their browsing history, preference, and interests. It helps in improving your relationship with your customers and their loyalty towards your brand.
AI-Powered Assistants
Virtual shopping assistants and chatbots help improve the user experience while shopping online. Natural Language Processing is used to make the conversation sound as human and personal as possible. Moreover, these assistants can have real-time engagement with your customers. Did you know that on amazon.com, soon, customer service could be handled by chatbots?
Fraud Prevention
Credit card frauds and fake reviews are two of the most significant issues that E-Commerce companies deal with. By considering the usage patterns, AI can help reduce the possibility of credit card fraud taking place. Many customers prefer to buy a product or service based on customer reviews. AI can help identify and handle fake reviews.
2. Applications Of Artificial Intelligence in Education
Although the education sector is the one most influenced by humans, Artificial Intelligence has slowly begun to seep its roots into the education sector as well. Even in the education sector, this slow transition of Artificial Intelligence has helped increase productivity among faculties and helped them concentrate more on students than office or administration work.
Some of these applications in this sector include:
Administrative Tasks Automated to Aid Educators
Artificial Intelligence can help educators with non-educational tasks like task-related duties like facilitating and automating personalized messages to students, back-office tasks like grading paperwork, arranging and facilitating parent and guardian interactions, routine issue feedback facilitating, managing enrollment, courses, and HR-related topics.
Creating Smart Content
Digitization of content like video lectures, conferences, and textbook guides can be made using Artificial Intelligence. We can apply different interfaces like animations and learning content through customization for students from different grades.
Artificial Intelligence helps create a rich learning experience by generating and providing audio and video summaries and integral lesson plans.
Voice Assistants
Without even the direct involvement of the lecturer or the teacher, a student can access extra learning material or assistance through Voice Assistants. Through this, printing costs of temporary handbooks and also provide answers to very common questions easily.
Personalized Learning
Using top AI technologies, hyper-personalization techniques can be used to monitor students’ data thoroughly, and habits, lesson plans, reminders, study guides, flash notes, frequency or revision, etc., can be easily generated.
3. Applications of Artificial Intelligence in Lifestyle
Artificial Intelligence has a lot of influence on our lifestyle. Let us discuss a few of them.
Autonomous Vehicles
Automobile manufacturing companies like Toyota, Audi, Volvo, and Tesla use machine learning to train computers to think and evolve like humans when it comes to driving in any environment and object detection to avoid accidents.
Spam Filters
The email that we use in our day-to-day lives has AI that filters out spam emails sending them to spam or trash folders, letting us see the filtered content only. The popular email provider, Gmail, has managed to reach a filtration capacity of approximately 99.9%.
Facial Recognition
Our favorite devices like our phones, laptops, and PCs use facial recognition techniques by using face filters to detect and identify in order to provide secure access. Apart from personal usage, facial recognition is a widely used Artificial Intelligence application even in high security-related areas in several industries.
Recommendation System
Various platforms that we use in our daily lives like e-commerce, entertainment websites, social media, video sharing platforms, like youtube, etc., all use the recommendation system to get user data and provide customized recommendations to users to increase engagement. This is a very widely used Artificial Intelligence application in almost all industries.
Also Read: How Does Artificial Intelligence (AI) Work and Its Applications
4. Applications of Artificial Intelligence in Navigation
Based on research from MIT, GPS technology can provide users with accurate, timely, and detailed information to improve safety. The technology uses a combination of Convolutional Neural Networks and Graph Neural Networks, which makes lives easier for users by automatically detecting the number of lanes and road types behind obstructions on the roads. AI is heavily used by Uber and many logistics companies to improve operational efficiency, analyze road traffic, and optimize routes.
5. Applications of Artificial Intelligence in Robotics
Robotics is another field where Artificial Intelligence applications are commonly used. Robots powered by AI use real-time updates to sense obstacles in its path and pre-plan its journey instantly.
It can be used for:
- Carrying goods in hospitals, factories, and warehouses
- Cleaning offices and large equipment
- Inventory management
6. Applications of Artificial Intelligence in Human Resource
Did you know that companies use intelligent software to ease the hiring process?
Artificial Intelligence helps with blind hiring. Using machine learning software, you can examine applications based on specific parameters. AI drive systems can scan job candidates' profiles, and resumes to provide recruiters an understanding of the talent pool they must choose from.
7. Applications of Artificial Intelligence in Healthcare
Artificial Intelligence finds diverse applications in the healthcare sector. AI applications are used in healthcare to build sophisticated machines that can detect diseases and identify cancer cells. Artificial Intelligence can help analyze chronic conditions with lab and other medical data to ensure early diagnosis. AI uses the combination of historical data and medical intelligence for the discovery of new drugs.
8. Applications of Artificial Intelligence in Agriculture
Artificial Intelligence is used to identify defects and nutrient deficiencies in the soil. This is done using computer vision, robotics, and machine learning applications, AI can analyze where weeds are growing. AI bots can help to harvest crops at a higher volume and faster pace than human laborers.
9. Applications of Artificial Intelligence in Gaming
Another sector where Artificial Intelligence applications have found prominence is the gaming sector. AI can be used to create smart, human-like NPCs to interact with the players.
10. Applications of Artificial Intelligence in Automobiles
Artificial Intelligence is used to build self-driving vehicles. AI can be used along with the vehicle’s camera, radar, cloud services, GPS, and control signals to operate the vehicle. AI can improve the in-vehicle experience and provide additional systems like emergency braking, blind-spot monitoring, and driver-assist steering.
11. Applications of Artificial Intelligence in Social Media
On Instagram, AI considers your likes and the accounts you follow to determine what posts you are shown on your explore tab.
Artificial Intelligence is also used along with a tool called DeepText. With this tool, Facebook can understand conversations better. It can be used to translate posts from different languages automatically.
AI is used by Twitter for fraud detection, for removing propaganda, and hateful content. Twitter also uses AI to recommend tweets that users might enjoy, based on what type of tweets they engage with.
12. Applications of Artificial Intelligence in Marketing
Artificial Intelligence (AI) applications are popular in the marketing domain as well.
5. Applications of Artificial Intelligence in Robotics
Robotics is another field where Artificial Intelligence applications are commonly used. Robots powered by AI use real-time updates to sense obstacles in its path and pre-plan its journey instantly.
It can be used for:
- Carrying goods in hospitals, factories, and warehouses
- Cleaning offices and large equipment
- Inventory management
6. Applications of Artificial Intelligence in Human Resource
Did you know that companies use intelligent software to ease the hiring process?
Artificial Intelligence helps with blind hiring. Using machine learning software, you can examine applications based on specific parameters. AI drive systems can scan job candidates' profiles, and resumes to provide recruiters an understanding of the talent pool they must choose from.
7. Applications of Artificial Intelligence in Healthcare
Artificial Intelligence finds diverse applications in the healthcare sector. AI applications are used in healthcare to build sophisticated machines that can detect diseases and identify cancer cells. Artificial Intelligence can help analyze chronic conditions with lab and other medical data to ensure early diagnosis. AI uses the combination of historical data and medical intelligence for the discovery of new drugs.
8. Applications of Artificial Intelligence in Agriculture
Artificial Intelligence is used to identify defects and nutrient deficiencies in the soil. This is done using computer vision, robotics, and machine learning applications, AI can analyze where weeds are growing. AI bots can help to harvest crops at a higher volume and faster pace than human laborers.
9. Applications of Artificial Intelligence in Gaming
Another sector where Artificial Intelligence applications have found prominence is the gaming sector. AI can be used to create smart, human-like NPCs to interact with the players.
It can also be used to predict human behavior using which game design and testing can be improved. The Alien Isolation game released in 2014 uses AI to stalk the player throughout the game. The game uses two Artificial Intelligence systems - ‘Director AI’ that frequently knows your location and the ‘Alien AI,’ driven by sensors and behaviors that continuously hunt the player.
10. Applications of Artificial Intelligence in Automobiles Artificial Intelligence is used to build self-driving vehicles. AI can be used along with the vehicle’s camera, radar, cloud services, GPS, and control signals to operate the vehicle. AI can improve the in-vehicle experience and provide additional systems like emergency braking, blind-spot monitoring, and driver-assist steering. |
11. Applications of Artificial Intelligence in Social Media
On Instagram, AI considers your likes and the accounts you follow to determine what posts you are shown on your explore tab.
Artificial Intelligence is also used along with a tool called DeepText. With this tool, Facebook can understand conversations better. It can be used to translate posts from different languages automatically.
AI is used by Twitter for fraud detection, for removing propaganda, and hateful content. Twitter also uses AI to recommend tweets that users might enjoy, based on what type of tweets they engage with.
12. Applications of Artificial Intelligence in Marketing
Artificial Intelligence (AI) applications are popular in the marketing domain as well.
- Using AI, marketers can deliver highly targeted and personalized ads with the help of behavioral analysis, and pattern recognition in ML, etc. It also helps with retargeting audiences at the right time to ensure better results and reduced feelings of distrust and annoyance.
- AI can help with content marketing in a way that matches the brand's style and voice. It can be used to handle routine tasks like performance, campaign reports, and much more.
- Chatbots powered by AI, Natural Language Processing, Natural Language Generation, and Natural Language Understanding can analyze the user's language and respond in the ways humans do.
- AI can provide users with real-time personalizations based on their behavior and can be used to edit and optimize marketing campaigns to fit a local market's needs.
13. Applications of Artificial Intelligence in Chatbots
AI chatbots can comprehend natural language and respond to people online who use the "live chat" feature that many organizations provide for customer service. AI chatbots are effective with the use of machine learning and can be integrated in an array of websites and applications. AI chatbots can eventually build a database of answers, in addition to pulling information from an established selection of integrated answers. As AI continues to improve, these chatbots can effectively resolve customer issues, respond to simple inquiries, improve customer service, and provide 24/7 support. All in all, these AI chatbots can help to improve customer satisfaction.
14. Applications of Artificial Intelligence in Finance
It has been reported that 80% of banks recognize the benefits that AI can provide. Whether it’s personal finance, corporate finance, or consumer finance, the highly evolved technology that is offered through AI can help to significantly improve a wide range of financial services. For example, customers looking for help regarding wealth management solutions can easily get the information they need through SMS text messaging or online chat, all AI-powered. Artificial Intelligence can also detect changes in transaction patterns and other potential red flags that can signify fraud, which humans can easily miss, and thus saving businesses and individuals from significant loss. Aside from fraud detection and task automation, AI can also better predict and assess loan risks.
15. AI in Astronomy
If there's one concept that has caught everyone by storm in this beautiful world of technology, it has to be - AI (Artificial Intelligence), without a question. AI or Artificial Intelligence has seen a wide range of applications throughout the years, including healthcare, robotics, eCommerce, and even finance.
16. AI in Data Security
Many people believe that Artificial Intelligence (AI) is the present and future of the technology sector. Many industry leaders employ AI for a variety of purposes, including providing valued services and preparing their companies for the future.
17. AI in Travel and Transport
Intelligent technology has become a part of our daily lives in recent years. And, as technology advances across society, new uses of AI, notably in transportation, are becoming mainstream.
18. AI in Automotive Industry
A century ago, the idea of machines being able to comprehend, do complex computations, and devise efficient answers to pressing issues was more of a science fiction writer's vision than a predictive reality.
1. Entertainment and Gaming
XR for entertainment and games may sound light, but this currently constitutes the number one market segment, with the XR gaming market on track to reach $18 billion by 2023.
Gamers can intimately feel what their selected scenes would resemble in the flesh, whether crossing into another era, place or exploring fantastic futuristic worlds. Consumers can virtually experience live music and sporting events from the comfort of their VR headsets.
More and more gaming developers are launching their own virtual reality headsets. And given the hyper-competitive nature of the gaming industry, it’s highly likely that VR gaming will continue to develop in an extraordinary innovative way.
2. Healthcare
Experts see multiple areas where VR technology can contribute to healthcare, including mental well-being, physiotherapy, pharmaceutical development, and education for professionals and patients. The technology also assists in collaboration, especially among multiple facilities. During the pandemic, doctors used XR extensively to offer remote care.
Medical imaging technologies like magnetic resonance imaging (MRI) and CT scans now make extensive use of extended reality. It gives staff full 3D representations of human bodies rather than traditional 2D imaging. This improves diagnostic accuracy, as medical personnel now have a more accurate rendering of the relevant structures.
Surgical training marks one of the stand-out applications of XR. Immersive models allow doctors to practice skills without risking lives – to learn general surgical techniques or even to develop procedures for complex operations. During live operations or patient care, medical staff can use AR to make better decisions and offer more insightful recommendations to their patients. With medical VR treatment, people can experience a controlled environment where they face and overcome their fears safely.
3. Engineering and Manufacturing
A skilled workforce has become necessary to keep pace in the super-charged business world, with training a necessary yet expensive endeavor. XR tools can save money, time, and prevent injuries.
Computer-aided design (CAD) makes an ideal use case as designers and their clients can immerse themselves in life-size plans while drafting. This allows for superior exploration of design space.
Engineering and manufacturing can sometimes involve dangerous functions. The use of augmented reality enables workers to conduct these actions from a safe distance. For instance, an employee can direct a robot to perform some tasks involving hazardous chemicals that pose a risk.
New factory employees can learn how to use risky equipment via simulations and from anywhere. A job simulator can even include accurate deadlines, distractions, and other pressing demands.
AR can also assist in other processes like assembly, quality control, and maintenance. Workers receive visual and voice instructions as well as seeing data on a smartphone, headset, or other hardware. It can include precise technical data such as tolerances or coatings. From Boeing to Porsche to Lockheed Martin, AR is being leveraged to drive productivity along key stages of the production process.
4. Food
The food industry is vast and diverse. Whether that be streaming training content, mimicking food production processes virtually, or simulating real-life scenarios — XR offers a new way of looking and doing things. Some restaurants, for example, now offer placemats that can transform into gaming platforms and recipe books.
Proper hygiene in food facilities is one of the most important aspects of food production. Manual inspection routines are susceptible to human error or lack of oversight. With mixed reality devices such as HoloLens, it is possible to add a digital layer to any form of maintenance or service like a routine hygiene inspection. The digital layer can highlight critical areas that can be overlooked with manual processes, ensuring all important areas are covered.
You can even add a no-oversights feature that means a worker cannot move on to the next step until all necessary steps have been completed. Additionally, HoloLens can capture content and store it in a database, meaning improved traceability of hygiene inspections, a key focus area for food operators.
The retention of skills and knowledge learned via VR is very high, meaning it is more likely to be applied in the workplace, ultimately leading to increased productivity. Even complex techniques can be broken down into their most basic components to make certain that even the newest employee can grasp and deliver consistent, high-quality output.
Using VR, any task in a production facility can be copied virtually and can be reviewed at a pace most comfortable to the employee. In addition, VR-learning doesn’t require help from other colleagues, meaning new employees can be trained without the need for other employees to take time to teach. With visual guides, a worker should be able to pick up the next steps. Further, the instructions can easily be read in different languages.
5. eCommerce and Retail
AR contributes to both online and offline shopping. In stores, customers can quickly and easily learn all about products on display. You can, for instance, instantly find reviews and recommendations just by pointing your camera at an AR-enabled item. Retailers can also offer discounts through this medium while uncovering shopping patterns in the data.
For e-commerce, AR brings the shopper closer to an in-person experience – especially during the pandemic. People generally want to interact with a product before buying, and this technology allows them to do so.
Product returns can cost as much as $550 billion per year. People often buy a product based on a stock photo, but when they receive it, they realize it’s not what they imagined. AR eliminates this frustration. By allowing customers to experience the product in an augmented world, they sense first hand whether they will like it or not. Retail giant Macy’s “try before you buy” AR product visualization helped the company reduce return rates to less than 2%. Famous retailers from Saks to Saatchi have also rolled out immersive shopping experiences.
Studies show that 47% of consumers acknowledged that immersive technologies make them “feel more connected with products” while shopping online. Rather than forcing a consumer to imagine how a product will look, AR allows the user to experience the product firsthand, in a digital environment.
6. Education
The National Education Association has found that while the learning retention is only 5% for lectures and 10% for reading, VR is among the top 2 with learning retention of 75%. With immersive technology, learning can be made much more engaging than simply reading a piece of text or watching a video.
Augmented reality gives students hands-on, real-world experience without the need for a classroom. It enables people to see what it’s like in outer space or to practice surgery on virtual patients. XR delivers unique learning experiences and is expected to have a growing influence on education at all levels from elementary to tertiary, to professional learning.
XR enables virtual field trips, including to locations that you can’t reach in person. You can also explore complex scientific topics in extreme detail, like manipulating a 3D model of a molecule. When it comes to post-secondary, XR enables remote self-paced learning. Students can have multisensory engagement with any topic from astronomy to zoology. Richer interconnections make the material more memorable. Gamification, in which lessons are made entertaining, can further enhance learning outcomes.
7. Real Estate
Real estate agents can give prospective buyers a tour of properties as if viewing them in person, even if they are on opposite sides of the planet. You can produce advertisements, sales presentations, and detailed open houses for use with smartphones or headsets. Real estate agents already exploit XR’s core functions with current tools already built into some web browsers.
8. Workplace
Hybrid work, remote employees, 4-day work week; the pandemic has triggered a series of new workplace arrangements. Executives see extended reality as an effective method to reconnect employees. It brings new opportunities for on-the-job training too, helping employees learn as they go, getting hands-on experience in a safe and controlled environment, enabling them to be more efficient.
Logistics giant DHL rolled out its Google Glass-based Vision Picking Program in its warehouses in nine countries, reporting productivity savings of 15% through more accurate and efficient fulfillment. Lloyds Bank is investing in VR technology to train their staff in soft skills, helping employees learn to develop resilience and cope with stress.
9. Defense
“This is cutting-edge technology. It’s going to transform the way we train soldiers and the way soldiers operate in combat. We’re excited about it,” is how Gen. James McConville, the US Army’s chief of staff, describes XR.
Since the inception of XR technologies, the US Military has invested billions of dollars in the technology. The Army and the Marine Corps have invested in a new battlefield head-up display called the Integrated Visual Augmentation System (IVAS), which combines synthetic training environments with real-world data to boost infantry readiness and effectiveness. The Navy and Air Force have been using similar XR technologies to train their fighter pilots.
The US Defense Department readily extols the boundless promise that XR advances hold for dramatically improved training, situational awareness, logistics support, combat readiness, and even medical training and procedures. XR can deliver training far faster and at less cost than traditional training in many cases. By employing virtual reality, artificial intelligence (AI), and biometric tracking, the US Air Force has reduced pilot training from 12 months to four.
By superimposing virtual data over a view of the real world, military personnel can use XR technologies to navigate more easily across any terrain in the world; know the location of friendly troops or reported threats; train and rehearse for anticipated battle scenarios, and even overlay virtual enemies and obstacles as needed for better preparation.
10. Travel and Tourism
The unprecedented and disastrous pandemic impacted nearly every sector of the economy, with the travel and tourism industry hit particularly hard. The United Nations Conference on Trade and Development (UNCTAD) estimates that the sharp decline in international tourism during the pandemic has slashed more than $4 trillion off the global GDP.
Because so many people still aren’t willing to travel, smart operators are using extended reality to offer stay-at-home travel experiences. This benefits both consumers and the tourism industry. Extended reality tourism gives consumers the opportunity to travel the world safely and at a fraction of the cost. This technology also creates a new revenue stream for companies struggling to stay afloat.
In Jordan, for example, the government launched the Petra Xplore App, which uses virtual reality technology to teleport visitors to the UNESCO World Heritage Site. Visitors can walk through and explore points of interest. As users explore the city, commentary helps them understand the historical significance.
Industry experts believe, even post-pandemic, that extended reality tourism will continue to appeal to tourists who are looking for an inexpensive way to travel the world.
Extended reality advances the potential of AR, VR, and MR and merges our real and virtual worlds to create new environments and visualizations where physical and digital objects co-exist, interact, and communicate. Instead of removing users completely from the real world, or simply layering flat content on top of their immediate view, MR adds intelligence, even personality, to digital content relative to the world around them.
As part of the technological evolution of how we engage with the digital world, in both our personal and work lives, we are smashing through the barriers that interfere with our ability to make smart decisions quickly, absorb, retain and process critical information, visualize possible scenarios before acting, or share knowledge and tasks. The XR trend is ushering in a new world of simulated experiences grounded in the ways business gets done and how customers actually use products.
If you plan to effectively leverage the immense power of extended reality, choosing the right partner is critically important. You need to work with an experienced agency that not only has a stellar track record but one that has a firm grasp of the technical know-how of these immersive technologies, as well as the capability to creatively bring your vision to life and solve real-world problems.
Rock Paper Reality (RPR) has been at the forefront of AR development for over 12 years. Having worked with clients including Microsoft, Netflix, and Lenovo, the experts at RPR will work with you every step of the way to ensure that your brand stands above the competition.
Top Applications of Quantum Computing.
Some of the top Applications of Quantum Computing are as follows:
- Artificial intelligence
- Better batteries
- Cleaner fertilization
- Cybersecurity
- Drug development
- Electronic materials discovery
- Financial modeling
- Solar capture
- Traffic optimization
- Weather forecasting and climate change
Examples
IBM, for one, wasn’t having it. The other big player in quantum, it promptly posted a response essentially arguing that Google had underestimated the muscle of IBM supercomputers — which, though blazingly fast, aren’t of the quantum variety.
Tech giant head-butting aside, Google’s achievement was a genuine milestone — one that further established quantum computing in the broader consciousness and prompted more people to wonder: What will these things actually do?
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