In a world where content creator is getting more fame than celebrities, who don’t want to try their hand at creating videos. But not everyone has all the skills required for it. But not to worry the AI era has solutions for everything. If you need a video creator, you have multiple AI for that, or you don’t feel confident about your voice, no need to hire a voice-over artist, a free AI Voice generator is all that you need. This tool is capable of converting text into speech, with great accuracy, having options for various languages, tones, localized accents, and whatnot. You name it and these tools can do it. What is an AI Voice Generator? AI voice generator is an artificial intelligence-enabled tool that turns text descriptions into natural-sounding speech. If you think you don’t need one, then you should rethink it because it has various purposes from video narration, audiobooks, and podcasts to advertisements. Moreover, some of the advanced features include voice cloning, emotion integration, and multilingual support. But the struggle begins when you have to filter the best and most useful tool among thousands. We have tried and tested various tools and with first-hand experience, we are sharing the best free AI voice generators that you must try. Top 5 Must Try AI Voice Generators Here we are sharing the in-depth review of each AI Voice Generator, which may help you understand which one you should use for your use. 1. Murf Murf is one of the most popular text-to-voice AI for creators and businesses. It became so popular in 2022 that it raised $10 Million in a series and even got featured in Forbes. This fame can’t be attributed to just one thing but it is because of its ultimate features such as high-quality voices featuring various types of accents and emotions.  The way this AI voice generator fine-tunes the text description with accuracy is very evident in the voice it produces. The best part about this tool is that it allows you to create up to 10-minute-long videos per month and this is quite a great start for free. Features: Some of the most celebrated things about this tool are: Pricing: Pros: Cons: 2. Play.ht Play.ht is a known text-to-voice AI tool for an impressively large library of AI voices and languages. To your surprise, it has more than 800 AI voices across 142 languages. This grand library equips creators across the globe with the ability to create multilingual content.  With over 830 voices, it simplifies text-to-voice conversations along with controls. Moreover, it can turn blog posts into audio. It is best if you want quick voiceovers with certain language. Features: Pricing: Pros: Cons: 3. Lovo Lovo is another celebrated AI character voice generator featuring hyper-realistic voices and videos. What’s more interesting about this tool is that it features AI avatars with realistic speech AI. This adds a personal touch to your presentations and other kinds of explanatory videos. It is ideal for short and simple projects that require limited voice variety.  One of the best things about these tools is that offer emotionally expressive voices available in a range of languages. It can help creators in making short movies or videos and also enable marketing experts by equipping them with high-quality, creative ads. Features: Pricing: Pros: Cons: 4. Listnr Listnr is a user-friendly AI voice generator with a focus on accessibility. It allows users to convert text to speech in multiple formats, including MP3 and WAV, making it ideal for creating audio guides, podcasts, or audiobooks. The free plan on Listnr offers basic voice options and limited exports per month. It’s a good option for short projects with a focus on clarity and ease of use. Listnr provides a range of features suitable for global markets and audiences. Features: Pricing: Pros: Cons: 5. Resemble.ai Resemble.ai is a robust deepfake voice generator free tool with advanced features for professional use. It stands out with language dubbing and GPT integration. It’s ideal for professionals looking for versatile voice options and advanced features. This powerful AI voice generator allows for advanced customization, controlling the speaking style, pace, and pitch of your AI voice. The free plan on Resemble.ai has limitations on voice options and generation length. However, if you need a highly customized voice for a specific project, the free plan might be worth exploring. Features: Pricing: Pros: Cons: Final Thoughts If you are looking for the best free AI voice generator, you must try Murf, Play.ht, and Lovo offers great options with free trials. For those needing multilingual support, Play.ht and Listnr are excellent choices. Resemble.ai is best for advanced projects, while Lovo shines in creating emotional and realistic voices. From text-to-voice AI for videos, and ads, to podcasts, these tools deliver fantastic results. Also Read: Quantum Artificial Intelligence, The Future of AI

The best cyber security companies have emerged as necessities in the present world. As businesses both big and small rely on the best cybersecurity firms to secure data, defend against operations, and shield against cyber threats. This blog looks into some of the top cybersecurity companies and what makes them stand out. Top Cyber Security Companies Cyber security companies are companies that have the roles of developing both products and services, concepts, and mechanisms for safeguarding cyberspace property. They offer services such as encryption services, threat detection services, network security services, and cloud security services. As cases of cybercrime increase, companies assist business organizations in outsmarting cybercriminals and other agents of unsavoury activities. Here is the list of best security providers: 1. Microsoft: Best for Windows Security Headquarters: Redmond, Washington Founded: 1975 Annual Revenue: $227.6 billion Microsoft is a familiar technology company for most, but nobody can deny that it is not one of the leading cybersecurity companies as well. Some of its solutions are identity and access management (IAM), endpoint protection, as well as, cloud security. Microsoft is well appreciated by businesses since it integrates well with Windows systems. Their tools have impressive performance according to most industry benchmarks and this makes them a preferred choice of security companies for enterprises. 2. CrowdStrike: Best for Endpoint Security Headquarters: Sunnyvale, California Founded: 2011 Annual Revenue: $3.4 billion CrowdStrike is famous for endpoint security. Their services include managed detection and response also known as MDR, and cloud security posture management also known as CSPM. Admired for original thinking, CrowdStrike is right for companies that want to protect equipment such as laptops and sites. Their forecasts place them at the top of the industry for years to come. 3. Zscaler: Best for Cloud Security Headquarters: San Jose, California Founded: 2007 Annual Revenue: $1.9 billion As an organization, Zscaler is dedicated exclusively to cloud security. Its zero-trust security model replaces conventional network configurations with distributed secure architectures. Their secure web gateways and deception tools shield the cloud from dangerous threats – Year 1. In helping organizations already on the cloud, Zscaler ranks supreme in the field. 4. IBM: Best for Advanced Encryption Headquarters: Armonk, New York Founded: 1911 Annual Revenue: $61.9 billion It’s worth mentioning that the company at the heart of this program is IBM, which is considered a pioneer in encryption and sophisticated threat protection. Their UEM plus managed security services make sure that the business organizations are protected from new emerging cyber threats. Popular for its research, IBM gives innovative solutions for both large-scale and small-scale business companies. 5. Cisco: Best for Network Security Headquarters: San Jose, California Founded: 1984 Annual Revenue: $57.2 billion Cisco is strong in how it combines network security into an overall approach. They’ve expanded their solutions list with the acquisition of Splunk and Isovalent. This is why their network detection and zero-trust solutions are favorites among enterprises. Cisco integrates the solution with your current infrastructure so that deployment is easy. 6. Fortinet: Ideal for protecting your organization’s network perimeter. Headquarters: Sunnyvale, California Founded: 2000 Annual Revenue: $5.3 billion Two of Fortinet’s major products are robust firewalls and Web application protection. Small businesses as well as large enterprises simply love their unified threat management (UTM) systems. Specifically, customers value the product for its user-friendliness and number-one customer service. 7. Trellix: Most suitable for Both XDR & Cloud Requirements Headquarters: San Jose, California Founded: 2022 Annual Revenue: Privately held Currently a rather young player on the market, Trellix was created through the fusion of McAfee and FireEye. They mainly target fighting advanced network threats and have solutions such as intrusion detection and prevention systems (IDPS). 8. Orage Technologies: Most suitable for the overall protection of the computer. Headquarters: New Delhi Founded: 2022 Annual Revenue: $1 million Orage Technologies has solutions in all aspects of the cybersecurity sphere. While this company is relatively young, its solutions target businesses in search of progressive and more cost-effective security. Only a focus on encryption and threats makes them a serious contender. 9. Cloudflare: Best for Application Security Headquarters: San Francisco, California Employees: 3,300+ Cloudflare safeguards sites and applications with its highly developed CDN services. Daily it shields businesses from more than 200 billion threats. Their concept is called the Athenian Project and it offers government agencies free security services for data during elections. 10. Darktrace: Best for AI-Powered Security Founded: 2013 Employees: 2,200+ Darktrace uses artificial intelligence to constantly monitor for threats, and respond in real time. It is named ActiveAI and is uniquely designed to know a company’s data and prevent attacks without interrupting its processes. Currently, they have more than 9,000 customers making them a power in AI security. Why Cyber Security Consultants are Important to Business Organizations around the world are falling prey to cyber threats which are becoming complex day by day. This means that the engagement of the cyber security consultant helps business organizations to be prepared for all risks. Consultants have recommendations and recommendations, and they advise their clients, including weaknesses, and then they offer reinforcements for safety. In terms of compliance management or endpoint protection, a consultant provides a valuable resource that a company may not possess internally. The thing is that working with the best cybersecurity companies can significantly impact the result. How to select the right cyber security companies Here are some factors to consider: The Future of Cybersecurity Cybersecurity companies must constantly adapt to stay ahead of hackers. Emerging technologies like artificial intelligence, machine learning, and zero-trust architecture are shaping the future. Companies like Zscaler and Darktrace are already leading the way. Final Thoughts Cybersecurity companies play a crucial role in protecting businesses from online threats. From Microsoft’s Windows security to Zscaler’s cloud protection, these organizations offer essential services. Choosing the right cyber security consultant or company ensures your business stays safe in today’s digital landscape. Frequently Asked Questions (FAQs) Ques. What do cyber security companies do? Ans. They protect businesses from cyber threats like hacking, phishing, and malware by

Network Security key is popularly known as WiFi Network. Today, we are living in a highly connected world where WiFi has become the whole and soul of every digital activity- From streaming movies to just scrolling through your favourite social media app. And for accessing a WiFi Network what you need is a WiFi password. What is a Network Security Key? Network Security keys are the safeguards that protect a wifi network from any unauthorized access. But you must be wondering why it is so important. The answer is simple we use the WiFi network for multiple tasks such as browsing transactions, any unauthorized access to it can expose sensitive data. It can offer an open door to cyber attacks, breaches, and threats. Some of the importance of a strong network security key is listed below: Types of Network Security Keys Network security protocol can be categorized into three categories- namely, WEP, WPA, and WPA2. Most of the Networks use any one of these protocols. Each one of them is differentiated based on the encryption standards each protocol uses. Let’s look at each of them in detail: 1. WEB Wired Equivalent Privacy (WEP) is one of the most outdated protocols. However, it is still used in older devices. But its worth noting that it is not recommended because of its static encryption code used to create its network security key. This protocol is weak and it can be decrypted and hacked. 2. WPA WiFi Protected Access (WPA) came as an improvement over the WEP protocol. It came with a dynamic encryption key that is used by Temporal Key Integrity Protocol (TKIP). However, after some time it was detected with vulnerabilities to various types of cryptographic attacks. 3. WPA2  One of the most secure Network Security Key protocols is WiFi Protected Access 2 (WPA2). It is considered the best because it leverages the AES encryption protocol available. However, we can not still say that it is totally risk-free as cyber threats are evolving and getting smarter each day with technological advancement. Therefore well-planned business security requires a Virtual Protocol Network (VPN), Antivirus Software, and Firewalls to offer robust security. How to Find Your Network Security Key? Finding the WiFi Password is very easy but the process and steps differ for different devices and operating systems. Let’s look at the steps for each device or operating system. 1. Router/Modem If you want to know the network security key of a modem or a router, you just need to check on the other side of the router. It can appear with various names such as passwords, network keys, wireless passwords, or WPA keys. This key can be used for the initial setup, however, it should be changed with a personalized, unique, and more secure password. In the case when you reset the router, the same WiFi Password will be needed for the setup. 2. Windows Device When it comes to network security keys on various Windows devices such as Windows 10, 11 or Windows Server can be found in the saved login data. Use the device that is already connected to the wifi network and follow the given steps: 3. macOS Finding the network security on MacOS is as simple as the process on Windows. You just need the name of the WiFi Network for which you need the WiFi Password. When you get the name, follow the steps given below: 4. Android The real task is finding the WiFi Password on Android. But don’t worry here is how you can get it on Samsung Galaxy S21: 5. iPhone Now navigate to iPhone Settings then scroll down to tap Wi-Fi. Beside your Wi-Fi network name, tap on the blue information icon located on the right side of the SSID on your iPhone: The Bottom Lines: Network Security Key plays an important role in securing your network specifically the WiFi network. It ensures that only authorized people get to access and use your Wifi and no one gets the data available on it. So make sure to use strong passwords and do not share them with everyone.  Frequently Question Asked:  Ques: Where do I find a network security key? Ans: The network security key is usually on your router’s label, in Wi-Fi settings, or saved in your connected device’s network settings. Ques: What is the network security key on my Samsung phone? Ans: The network security key on a Samsung phone is the Wi-Fi password. Find it in the connected Wi-Fi network settings under “QR Code” or “Password.” Ques: What is a security key on a laptop? Ans: The security key on a laptop is the Wi-Fi password saved in your network settings or a USB security key used for authentication. Ques: How to find Microsoft security key? Ans: Find it in your Microsoft account settings, email, or linked device. For 2FA, it’s often generated by an authenticator app or a USB security key. Ques: What is an example of a security key? Ans: Examples include Wi-Fi passwords, USB keys like YubiKey, or authentication codes generated by apps like Google Authenticator. Also Read: What is Cloud Web Security and Why is it Important? 

What is Cloud Web Security? Cloud web security is the security and protection method to defend website data and online applications from cyber attacks. It shields and protects your sensitive data from hackers, malware, as well as unauthorized access. Rather than having essential physical security measures, it has cloud instrumentality to guide, sense, and counteract threats in real space. Cloud Web Security Examples Let’s look at some of the common examples of cloud web security: Top Cloud web security providers: If you are confused about how this cloud security can help you can contact some of the best service providers and get a customized and detailed requirement of your organization. Some of the best in-line cloud web security providers are listed below: Types of Cloud Security Cloud security has evolved dynamically, as a result of developing new threats. Here are some essential types of cloud security solutions: 1. Identity and Access Management or IAM IAM tools enable administrators to manage which resources have privileges to cloud and on-premise solution resources. It enables monitoring of user activity and blocking of some of the actions. This is because IT managers and security administrators can apply policies throughout the organization and on individual systems. 2. Data Loss Prevention (DLP) DLP solutions give you an understanding of your data in the cloud. What they do is automatically identify, categorize, and shield sensitive data. Because of the de-identification of regulated data, DLP tools lower the chances of data leakage or loss occurring. 3. Security Information and Event Management (SIEM) SIEM tools are a blend of a Watchlist and a Security Intelligence and Event Management system. Thus, they employ artificial intelligence and machine learning for log data analysis of applications and network devices. If there are any perceived threats they respond by ensuring that risks are prevented. 4. PKI (Public Key Infrastructure) PKI deals with secure Communications using a method called digital certificates. It guarantees that data is encrypted, authentic, and confidential during the transmission. PKI solutions that operate in the cloud assist an organization to authenticate users, devices as well as services in the process of securing data. How Does Cloud Security Work? Furthermore, cloud security operates to shield your data, network, and systems against threats. It enables the recovery process and minimizes risks and loss of information. Here’s how it works: 1. Data Security Cloud security has technologies to control access to delicate information by unauthorized people. One of the strongholds that could be employed is encryption. Encryption distorts your data so it can only be understood by those who have the decryption key. If someone out there steals the data, they won’t be able to use it. Cloud networks also apply Virtual Private Network while transferring data from one system to another in order to enhance its security. 2. Identity and Access Management (IAM) IAM controls who have privileges over the systems and information they hold. It deals with the rights of a user’s amount of actual use, identification, and access. Measures such as user authentication by use of codes and passwords guarantee that only authorized personnel use the given apps. IAM assists in preventing intruders from accessing restricted areas. 3. Governance Governance lays its emphasis on developing measures concerning threat deterrence, identification, and mitigation. Threat intelligence is used by organizations to prevent threats in their infancy so that the risk is mitigated. Another factor includes safe user behavior, training, and response policies. This guarantees that everybody understands how they can go about maintaining the systems secure. 4. Data Retention and Recovery Cloud security intents for disaster recovery (DR) and business continuity (BC) solutions. It entails making data copies in order to avoid a situation where something important is missing. Periodic testing of these backups is performed in order to check that they enable access in case of an emergency. Stable systems and recovery actions allow companies to function well. 5. Legal Compliance Cloud security also targets privacy as per the laws and regulations as a means to protect the various users. It is an approach of disguising the details in such a way that anyone who has accessed it cannot easily identify the information in question, techniques like data masking use encryption. To achieve this, the following best practices for data protection and compliance with the law are reached. Best Open Source Cloud Security Tools More organizations opt for cloud services, as cloud security is a matter of great concern. The vulnerability scanning tools and solutions are free in the case of open source. Here are some of the best open-source cloud security tools: 1. Trivy Trivy by Aqua is a security scanner. It identifies vulnerabilities in many targets such as in container images, Kubernetes, and AWS surroundings. Key Features: 2. CloudSploit CloudSploit by Aqua identifies security exposures in the cloud. Some of its integration includes Amazon web services AWS Azure, Google Cloud, Oracle Cloud, and GitHub. Key Features: 3. CloudMapper CloudMapper is concerned with security in the AWS. It helps visualize AWS networks and detect or recognize security threats. Key Features: 4. OSSEC OSSEC is a hybrid of intrusion detection, log monitoring, and security event management systems. This is an all-round system monitoring tool. Key Features: 5. OpenVAS OpenVAS vulnerability scanner is developed by Greenbone. It includes both authenticated and unauthenticated testing in various networks. Key Features: These open-source tools give great solutions to cloud security with little investment. Different services – scanning, auditing, or monitoring require tools to be employed, and these tools include Trivy, CloudSploit, and OSSEC. If these tools can be integrated, then businesses’ cloud landscapes can be protected from threats more effectively. Cloud Security Challenges Security in cloud enviroment is a very complex thing and as cloud adoption grows, organizations must address these critical issues: Cloud Web Security Scanners These scanners are used to scan for any potential leaks in cloud applications and websites. What is more, they automatically search for the vulnerabilities that hackers might potentially take advantage of. This ensures that business entities protect

Nearly, hackers launch 2,244 cyberattacks every day and that’s nearly one attack every 39 seconds. Shocking, right? And what’s more alarming is that 81% of breaches occur due to passwords being weak, stolen, or being used at multiple locations. This led to the need for a more secure authentication way and here came the Multiple factor authentication. This technology does not rely on any single verification like passwords but involves two or more levels of security checks. Understanding Multiple Factor Authentication (MFA) MFA is one of the most advanced security methods to date that works on the principle of verifying identities with the help of two or more evidence from different categories and sources. This is based on the following factors of categories: MFA vs. 2FA: What’s the Difference? Many people confuse Multi-Factor Authentication (MFA) with Two-Factor Authentication (2FA). While they’re similar, there are some differences too.  Two Factor Authentication or 2FA refers to a security method that requires two kinds of evidence from two different categories such as a password or a code sent in the text message.  Whereas Multiple factor authentication requires two or more kinds of evidence. This means that 2-factor authentication is a form of MFA.  How Multiple Factor Authentication Works? Multiple factor authentication works in one of the simplest ways for cyber security and it swears by its name. Let’s look at the process involved in Multiple factor authentication working:  This is the best way to secure your digital presence and in order to make it extra secure you can use password generator tools to make complex and robust passwords that are difficult to crack but easy to save.  What is Adaptive Multiple Factor Authenticaton?  Multiple factor authentication can vary from system to system. And they may not be created equally. Adaptive Multiple Factor Authentication is one type. In this system, the security steps involve analyzing the context of each login attempt It can use various factors such as:  This dynamic approach provides strong security without adding unnecessary friction for users. How Secure Is MFA? The strength of MFA depends on the factors used. For example: Interestingly, a well-implemented 2FA system can sometimes be more secure than an MFA setup with weak factors. For example, combining location-based signals (inherence) and mobile push notifications (possession) can outshine a basic MFA setup that uses insecure methods. Overcoming Challenges in MFA Adoption While MFA offers robust protection, it can sometimes feel like a hassle. A study revealed that in 2018, fewer than 10% of Google users activated 2FA—a clear sign that convenience often trumps security.  To address these challenges, companies are focusing on simplifying MFA: 1. Adaptive MFA: Adjusts security requirements based on risk levels. 2. Single Sign-On (SSO): Reduces the number of credentials users need to remember. 3. Push Authentication: Simplifies the process with automated, one-tap approvals. 4. Passwordless Authentication: Eliminates passwords entirely, replacing them with biometrics or hardware tokens. Real-Life Examples of MFA in Action:  Many organizations and platforms have adopted MFA to enhance security. Here are a few examples: The Future of MFA As cyberattacks evolve, so does the need for advanced security measures. Emerging trends in MFA include:  Final Thoughts As cybersecurity is getting a step ahead in technology, Multiple factor authentication is no longer optional—it’s essential. By layering multiple factors to verify identity, MFA dramatically reduces the risk of unauthorized access. From protecting sensitive organization data or an individual securing personal accounts, MFA is your best line of defence. Also Read About: What Is Metasploit In Cybersecurity?

Quantum computing and artificial intelligence are two radical technologies. Combined with each other,  Quantum Artificial Intelligence can transform the industries and solve the problems that current classical computers are incapable of solving. However, there is still a challenge in applying AI to classical computers. What is interesting is that quantum computing has the ability to overcome these challenges thus expanding the boundaries of AI and AGI. What is Quantum AI? Quantum Artificial Intelligence is the application of quantum computing in enhancing AI algorithms. AI becomes capable of taking on a large number of tasks and solving problems since it has the support of quantum computing. With Quantum AI there can be outcomes that cannot be handled by traditional computers, including machine learning and cognitive computing. Quantum computing is the engineering of quantum systems in which the core is quantum mechanics, a theory dealing with the micro-world. Unlike the classical computations that use bits: zero and one, quantum computations use qubits. These qubits can be in more than one state at a time due to superposition making quantum computers very good in performing many calculations at the same time. However, it is relatively difficult to operate with quantum data because they are often noisy. It is often used for accurate analysis and interpretation of such data with the help of machine learning. The interaction of quantum and classical architectural models is necessary for error correction and the smooth functioning of quantum computers. The Importance of Quantum Artificial Intelligence Despite the development of AI in the last decade it continues to struggle. Some of the technologies facing challenges are developing Machine learning models and generation of efficient algorithms.  Such quantitative methods can be further amplified by quantum computing; cognitive subjects like neuromorphic cognitive models, adaptive machine learning, and the framework of reasoning under uncertainty can emerge from AI. Quantum AI therefore provides the best chance of deploying AGI and therefore advancing the next generation of AI development. How Quantum AI Works Quantum Artificial Intelligence works with TensorFlow Quantum (TFQ) by Google, a library for quantum machine learning. TFQ integrates quantum modelling with machine learning to present a scheme for managing and emulating quantum systems. Here’s a simple breakdown of how it works: Principal Uses of Quantum AI Quantum Artificial Intelligence can be used for various things. The key uses are mentioned below: Quantum Algorithms for Learning: Quantum algorithms that could be useful in deep learning. It can be used for speeding up deep learning and improving the weight set in an artificial neural network. Quantum Decision Algorithms: Quantum models can more efficiently make decision solutions to multistage decision problems. The classical models of decision trees a result of them making use of Hamiltonian time evolution. Quantum Search: Some quantum search algorithms such as Grover’s algorithm could solve search problems far faster than classical computers. Quantum Game Theory: Quantum game theory can also enhance artificial intelligence in quantum communication. Also, it offers solutions to the problems arising in quantum game theory and numerous quantum applications. Milestones for Quantum AI While quantum artificial intelligence is still emerging, several milestones are necessary for it to evolve: The Road Ahead: Quantum AI in Action The global market could benefit from Quantum AI but out of all the sectors, finance, healthcare and logistics are the ones with the most potential. Machine learning and quantum computing harmoniously have vitality, with AI exceeding further and more focused enhancement of data pattern recognition, faster prediction, problem-solving, and decision provision. Google, IBM, Amazon, and Microsoft are already performing quantum computing services, which means that businesses can benefit from the possibility of quantum AI without developing their own quantum computing bases. This democratization of quantum computing is therefore the revolution that has made futuristic technology accessible to researchers and any size of businesses. Conclusion Quantum Artificial Intelligence is a rapidly growing field that could transform industries and help solve some of the world’s most complex challenges. By combining quantum computing’s unparalleled processing power with AI’s learning capabilities, we are entering an era where the impossible may soon become achievable. The future of AI is quantum, and the journey has only just begun. Also Read: What is a Digital Twin Technology?

The world is evolving with advanced technologies emerging every now and then. One of the mind-blowing innovations that is set to extend the boundaries of innovation is Digital Twin Technology. It refers to a virtual representation of a physical object or entity or process. There are three elements of digital twin technology: These three elements form the core of digital twinning. Visual representation is not a prerequisite for digital twinning but most of the digital twins have 2D or 3D computer-aided design (CAD). Digital representation or model can also look like a database, a set of equations, or a spreadsheet. Though data connection is important it is not necessarily a way to process. This is what differentiates it from other similar concepts like the Internet of Things and other AI-enabled innovations. The link at times is only from the physical entity to the digital twin counterpart and not vice versa. Types of Digital Twins Digital Twins can be categorized into four types: There are various different ways to categorize digital twin technology. One of the other categorizations divides it into infrastructure twins and network twins. Where the first one is associated with the physical parts while the latter is associated with the process and operation. Benefits of Digital Twinning Digital Twin technology leverages various next-generation innovations like the Internet of Things and artificial intelligence etc, to bring efficiency and cost-cutting in various industries. And here I am highlighting some of the key benefits: Examples of Digital Twinning in Practice By 2040 the innovation in Digital Twinning is going to grow to $125.9 Billion from $6.5 Billion. This advanced technology has revolutionized many fields and here are some examples of how companies are leveraging digital twins technology today. 1. Ford – Manufacturing Manufacturing is among the most important industries and definitely one of the areas most capable of using digital twins. Ford was one of the first companies to adopt this technology; it is for this reason that through the use of a digital twin, the company is able to monitor and even control the manufacturing processes in real time. This will allow maximum efficiency in production and resource usage because they are working with a common goal. In another area, Ford manufacturing has also used digital twins to improve the product design line. For example, the use of technology has been done to model the various production methods with regard to the product strength. 2. GE – Aviation Digital twins have long been used in GE as a tool for optimizing the design of diverse products, including jet engines and gas turbines. This way, the company is able to build a “virtual engine” that could let it try various concepts and approaches in a safely controlled environment before attempting to implement them in actual business scenarios. This cuts the odds of failure and increases the speed at which a product gets to the market. The real-time monitoring features of digital twins have delivered substantial value to GE’s customers; $1.6 billion in value up to 75% savings in product waste and up to 30% savings on costs; due to the holistic view provided by digital twins across the product lifecycle. 3. ABB – Robotics Robots and all sectors related to robotic manufacturing benefit from digital twins, including ABB Robotics. ABB has used it to simulate robotic configurations on such simulated production lines before assembling the actual line. This approach eases configuration does not require prototyping, and reduces time to market. Digital twins let ABB model every aspect of robot implementation which results in a faster setup as well as better incorporation to factories and production lines necessary for meeting today’s consumption rates. 4. Intermarché – Retail Intermarché SA, a French supermarket chain adapts digital twins to improve the customers’ experience inside stores. This way, customer movements and interaction with the products are followed which reveals valuable information about customers. They are mostly applied to enhance the placements of products, develop better designs, and design effective marketing strategies. In addition to the customer analysis, Intermarché has successfully used the concept of digital twins in the supply chain. For instance, through technology, users learn how weather conditions influence inventory and determine the amount of products they should stock. 5. The Living Heart Project – Healthcare Picture a population where one could walk through the human heart through a digital twin model. The Living Heart Project is one of the unique kinds of interventions that involve using virtual models of the heart to change the system of teaching and learning in the healthcare industry. Physical hearts could never replicate the ways in which researchers can study the dynamics of heart-shaped structures. Such an approach can facilitate an increase in the knowledge of many types of heart diseases, enhancement of treatment strategies, and augmentation of patient protection. Since heart disease remains the leading cause of death globally, this technology affords the capability to decrease the cost, bring down delayed outcomes, and improve results. 6. Shanghai, China – Urban Planning Shanghai’s population has and still is growing at a very fast rate, with over 28.5 million people, it turns to digital twins to enhance this. This endeavour, Beijing-based 51World supports this effort by developing 3D models and a range of simulations of the city at a micro level. Such virtual city replicas are particularly useful in that they allow planners an opportunity to try out new concepts and ideas without the risk of having to spend extra money replacing failed experiments, as well as in providing a valuable tool for efficient resource distribution. Digital twins also track the city’s current performance therefore means that planners can still intervene and make changes whenever necessary so as to guarantee sustainable development. The Bottom Line: Digital Twin technology is a future technology that is sure to be beneficial for every industry and company. It can reduce the cost and increase the efficiency of every process by replicating the virtual replica of the physical object.  Also Read: How to

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