Even those who didn’t watch the WWDC 2023 presentation are now aware of the incredible features the new Apple VR headset has to offer. After thoroughly reviewing and evaluating the capabilities of this groundbreaking device, our experts have identified it as a powerful tool that can enhance both internal and external business activities.

Read on to discover five incredible ways to leverage the power of the Apple Vision Pro Headset for unprecedented business growth.

What Makes AR/VR Headset a Perfect Tool for Thriving Business 🚀

Companies are embracing VR/AR technologies to improve customer experiences, employee productivity, and data analysis. We studied other noteworthy applications of a VR headset for business:

#1. Product Customization for the Specific Client Needs

With AR headsets, customers personalize and modify products on the spot, such as custom-designed T-shirts. They can superimpose patterns, coolers, and designs onto a physical product.

#2. Getting the Most Out of Training Financing

Traditional employee training costs around $1,300 per employee annually. Yet, it is often ineffective, with up to 90% of information forgotten within a month. VR/AR headsets offer immersive and engaging training environments, improving information retention.

#3. Give Remote Workers Office Atmosphere

Virtual collaboration using headsets facilitates a more productive environment for remote workers. According to Deloitte, wearing headsets allows users to read facial expressions and body language. It also helps block out distractions and keep track of time. You can achieve all of this while staying connected with colleagues.

#4. Thoughtful Decisions Through Data Visualization

VR offers interactive data visualizations. A good example is the business process simulation platform developed by Visartech. These technologies enhance interactivity, collaboration, and real-time feedback. They help identify data patterns, test hypotheses and make informed decisions.

#5. Virtual Storytelling for Emotional Connection with Customers

As much as 80% of the purchasing decisions are driven by emotions. Virtual storytelling allows businesses to build a stronger emotional connection with their customers. Not to mention the maximized revenue. In reality, a 30% of consumers want to explore engaging virtual experiences.

How to Prepare Your Company for Virtual Reality Solutions Deployment 💡

Deploying VR technology can be a tricky endeavor. It requires careful planning and execution to achieve the desired outcomes. For successful integration of VR for business operations, here are some practical tips to follow:

• Streamline your current IT infrastructure

Review existing systems for VR software development, assess compatibility, and make necessary upgrades to network bandwidth, hardware, and IT systems to prevent bottlenecks during VR deployment.

Read more: Budget-Saving Strategies to Optimize Your IT Infrastructure
Discover DevOps practices that help reduce IT infrastructure costs

• Consider revising data management policies

VR data is different from traditional data and therefore requires different management. Review your current policies and implement new ones to ensure proper handling and storage of VR data. They are:

• Data classification;
• Access control;
• Retention;
• Security measures;
• Backup and recovery;
• Data privacy regulations;
• Data governance.

These policies ensure the safety, security, and transparent governance of your VR data.

• Find processes that will benefit from VR the most

Businesses should define criteria and project activity levels to identify the best scenario for implementing VR technology. For instance, you might want to develop and deploy a collaborative platform for business. You need it to enable remote immersive meetings through real-time collaboration using a VR whiteboard.

Read more: An Interactive VR Whiteboard for Virtual Meetings
Find out how to create engaging virtual reality business meetings

Develop a justification for your VR solution upgrades

Both qualitative and quantitative justifications explain why the upgrades are necessary for your firm. Here are some examples.

Qualitative justification: “Upgrading the VR solution will improve user experience and reduce maintenance and support costs.”

Quantitative justification: “VR solutions will provide cost savings of 20% annually, reduce meeting times by 30%, and enhance data security, resulting in potential cost savings of $50,000 in damages.”

Wrap-up 📍

By harnessing the power of the Apple Vision Pro Headset, companies unlock unprecedented opportunities in various areas. For example, the right targeting in clients needs through product customisation or connection with customers on an emotional level with virtual storytelling.

We stand at the precipice of a technological revolution and now is the opportune moment to embrace its power and reap the rewards.

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Originally published at https://www.visartech.com.

The automotive industry is going through a period of rapid change and innovation. Thanks to advances in technology, cars are becoming smarter, more connected, and more sustainable than ever before. From electric vehicles to self-driving cars, the industry is undergoing a revolution that is changing the way we drive, commute, and even think about transportation.

In this article, we will take a closer look on the latest developments in the automotive industry and will share some interesting use cases of implementing them.

Automotive Tech Trends Overview 🚗

Electric cars, enhanced vehicle connectivity, and complex automotive ecosystems are just some key drivers of automotive industry trends.

However, many other exciting trends will shape the automotive industry in 2023.

Digital Customer Experience

The way consumers interact with the automotive industry is changing. There is a growing consumer trend towards a personalized and digital experience.

Many car buyers aged 45 and younger prefer sales and services that do not require physical contact. Around 60% of them show interest in buying their next car online. This suggests that traditional car showroom visits are becoming less attractive to this age group of consumers.

So the technology solutions behind customer experience trends in the automotive industry include the following.

• Customized Vehicles with WebGL

Customized Vehicles with WebGL is an emerging technology that can help automotive companies deliver personalized customer experiences. With the help of 3D modeling, this technology goes beyond creating just visually appealing car exteriors.

Before production, automotive companies can utilize WebGL to design various components, such as custom car accessories. In addition, WebGL 3D graphics enable online customization of interior car designs and general prototyping.

Read also: Interactive 2D/3D Graphics for Web Projects
Discover WebGL capabilities your business can benefit from

• 3D Web Applications

The use of 3D web application is another consumer trend in the automotive industry for 2023 that enriches the customer experience. With more consumers spending time online, providing an immersive experience — beyond traditional 2D graphics has become essential.

The use of tools such as Unity, Play Canvas, and PixiJS allows companies to create 3D graphics. This way, develop websites that resemble a virtual world. Meanwhile, 3D web apps can boost sales with interactive experiences and create excellent marketing materials for automotive products.

Adopting 3D web applications gives automotive businesses a competitive edge, boosting customer satisfaction, revenue, and long-term success.

• Community Platforms

A vital automotive trend for companies to build stronger relationships with their customers is community applications. These platforms offer a space where customers can engage with one another and the brand. Thereby providing valuable insights for businesses to understand their customers’ needs and preferences better.

Community platforms provide automotive companies with a variety of advantages. Namely, the ability to gather valuable customer feedback, cultivate brand loyalty, offer exclusive content and promotions, and improve customer support.

The BMW platform is an excellent example of a community application in the automotive industry. This app offers a range of features, including sharing experiences, receiving personalized offers, and accessing customer support resources.

• Digital Buying in Metaverse

Virtual showrooms created with metaverse technology give customers a fun and interactive way to shop for cars. With virtual test drives and the ability to customize features, customers get a unique shopping experience that’s both enjoyable and convenient.

Industry experts have found that using metaverse solutions has helped car companies reach more customers. It also increased sales, built brand loyalty, and allowed them to save money on showroom and inventory expenses.

Some car manufacturers, like Acura, have created virtual worlds where customers can engage with the brand. For example, Acura’s virtual showroom in Decentraland. It showcases its 2023 Integra model, giving customers a sneak peek at the car in a digital space.

Read more: What Is Metaverse and How Businesses Can Benefit From It
Find out metaverse capacities and embrace virtual world solutions

Enhanced Vehicle Connectivity 📶

Enhanced Vehicle Connectivity (VC) is an exciting trend in the automotive industry. It requires integrating technology into vehicles, allowing them to establish communication channels with drivers and the external environment.

VC technology enables live data exchange and provides drivers with enhanced safety features. Some are collision warnings, lane departure alerts, and blind spot detection. Additionally, VC offers convenient features like voice-activated controls, music streaming, and GPS navigation.

Technology solutions powering vehicle connectivity trends include the following.

• User Applications

A user application designed for an automotive company is a software program offering various features related to the user’s vehicle. For example, running vehicle diagnostics, remote start and stop capabilities, navigation, parking assistance, safety features, and entertainment options.

Tesla is a prime example of an automotive company successfully integrating such features into its vehicles. Tesla owners can manage and keep track of their cars through a mobile application. The app allows them to secure or open their cars and even command their vehicles to move toward their desired location.

• Advanced Driver Assistance Systems

ADAS, or Advanced Driver Assistance Systems, is a collection of technologies intended to enhance driver comfort and safety. One of the ADAS solutions is lane keeping which uses cameras or sensors to identify lane departure.

Another ADAS solution is automatic braking, which detects potential collisions and applies the brakes to reduce the impact’s severity. Adaptive cruise control is the third ADAS solution. It adjusts a car’s speed based on the distance to other vehicles to reduce the risk of rear-end accidents.

One business that has truly embraced this technology is Volvo. They implemented top-of-the-line safety features in their vehicles, such as the Volvo XC90. It has made a vehicle a top choice for families prioritizing safety and reliability.

Advanced Supply Chain 🚚

Advanced supply chains are an innovative approach to logistics and operations management. It allows businesses to speed up lead times, reduce inventory costs, and improve delivery times. The answer to how the supply chain does this is explained below, so move on!

So technology solutions driving automotive supply chain trends are as follows.

• Advanced Driver Assistance Systems

Analytics platforms analyze big data more efficiently using powerful tools like regression analysis, stochastic modeling, and optimization. As a result, automotive companies could combine different data types to get insights to help them make better decisions.

Many companies in the industry have implemented analytics platforms to improve their operations. For example, General Motors uses an analytics platform. The web-based platform gives GM real-time visibility into supplier performance and identifies potential issues before they become problems.

• Advanced Driver Assistance Systems

Data visualization (DV) is a valuable tool for automotive companies to gain insights into their supply chain operations. It allows them to identify areas that require improvement and increase efficiency. DV involves displaying complex data sets using visual graphics.

Automakers can use data visualization to keep track of inventory levels and monitor supplier performance. Thereby optimizing logistics routes, predicting demand, analyzing quality control data, and discovering possibilities to reduce costs.

To illustrate, Ford Motor Company employs dashboards and visual analytics tools to monitor supplier performance and detect potential disruptions.

Automotive Complex Ecosystems 🛞

The automotive ecosystem includes all the parts of the car industry, from designing and manufacturing cars to selling and maintaining them. Recently, this ecosystem has expanded to include new technologies and business models, such as electric cars and ride-sharing services.

Let’s examine the technology solutions related to the automotive ecosystem trends.

• Electric Vehicles Ecosystem

Due to environmental concerns, EVs are popular in the auto industry. The industry projects global EV sales to reach a staggering 13.6 million units by the end of 2023. Automakers are expanding their EV lineups to keep up with this growing trend. Governments worldwide offer incentives to encourage electric vehicle adoption.

This growth has created an ecosystem that includes vehicles and the necessary charging infrastructure, renewable energy sources, and battery recycling programs. The shift towards electric cars is not just a fad. It’s a significant and long-lasting transformation towards a more sustainable future.

• Mobility as a Service

Maas is a cutting-edge transportation concept that integrates multiple modes of transportation services into a single platform. This ecosystem comprises technology platforms that enable effortless and smooth integration of services. For instance, ride-hailing, public transit, car-sharing, and bike-sharing.

The technology platforms in Maas consist of various advanced components, including payment systems, trip-planning algorithms, and data analytics.

The payment systems provide a streamlined payment method for multiple transportation services. The trip-planning algorithms employ real-time data to suggest the most suitable transportation option for the users. Furthermore, data analytics help how people use transportation services and improve them to make them more convenient.

• Enterprise-Based Metaverse

The trend in the automotive industry is to use virtual worlds for business purposes. This is why the concept of an enterprise metaverse is gaining popularity. This allows companies to display their latest technologies and products virtually, reducing the costs associated with physical events and exhibitions.

Businesses can use an enterprise-based metaverse in a variety of ways. For instance, hosting virtual events and exhibitions to showcase their products and services, creating virtual showrooms for customers to explore their latest products and technologies, or providing employees immersive collaboration and training opportunities.

Additionally, companies might offer virtual customer support and hold virtual product launches to create excitement around new vehicles.

Stable Network Infrastructure 🔒

Just like a car engine needs a solid foundation, maintaining a stable network infrastructure requires a comprehensive tech approach. Such infrastructure must be powered by reliable technologies — 5G networks, edge computing, and artificial intelligence. Thus ensuring the safety and efficiency of the vehicles.

With a stable network infrastructure, the potential of different automotive trends can be fully realized — for example, connected and autonomous vehicles. Therefore, automotive companies must prioritize developing and implementing stable network infrastructure to provide a seamless experience for drivers and passengers alike.

Let’s look at the technologies driving the automotive industry’s network infrastructure and cybersecurity trends.

• 5G and Edge Computing

The advent of 5G technology is revolutionizing the automotive industry, providing it with faster and more dependable connectivity. This cutting-edge technology offers three primary advantages for cars. They include enhanced and consistent user experiences, improved connectivity for multiple devices, and rapid and reliable communication with low latency.

These advantages will improve in-car entertainment, self-driving car monitoring, and even automated systems for aerospace and robotics. Furthermore, 5G could reduce latency so much that edge computing could handle some critical safety tasks instead of onboard systems.

• Automotive Cybersecurity

Cybersecurity has become very important in the automotive industry as technology is increasingly used in vehicles. Employees will need new skills and work methods to ensure the hardware and software are safe and secure. This includes specification, design, development, integration, and testing.

Industry players are using various strategies. Some are focusing on vertical integration. Others offer specialized cybersecurity consulting services or introduce innovative solutions like threat-detection applications or vehicle security operations centers.

Read also: Security Testing or Top 10 Software Vulnerabilities
How software can be checked for vulnerability to various attacks

Incorporated AI features 🤖

Artificial intelligence has become increasingly popular this year, with its use expanding across various industries. For example, the use of AI in the automotive sector is diverse.

Ranging from driver assistance systems to predictive maintenance and manufacturing optimization. By leveraging AI, you can significantly enhance the company’s performance, improving safety, increasing efficiency, and boosting profits.

The technology solutions behind AI trends in the automotive industry go as follows.

• Autonomous Driving and Driver Assist

Autonomous driving and driver assist technology is game-changers in the automotive industry. It provides drivers with a more comfortable and safer driving experience. AI algorithms and sensors work together to detect objects on the road, navigate traffic, and make quick decisions. Thus reducing accidents and increasing overall efficiency.

This technology has also enabled new business models. For example, ride-sharing and autonomous delivery vehicles that offer new opportunities for businesses and customers.

• Predictive Maintenance

Predictive maintenance technology utilizes AI and machine learning algorithms to predict when a vehicle requires maintenance. This allows for timely repairs before significant issues arise. This technology can also analyze large amounts of data to identify patterns and provide insights into vehicle performance. This way, it enables manufacturers to improve their products and reduce costs.

Predictive maintenance minimizes vehicle downtime and optimizes maintenance costs, resulting in better vehicle performance and reduced operating expenses.

• Design and Manufacturing

AI can play a crucial role in designing new vehicle models in enhancing their performance, safety, and fuel efficiency. Rather than relying solely on human intuition, AI can analyze data from previous designs and generate more effective strategies.

AI can analyze production data during smart manufacturing to identify areas where efficiency can be improved. For example, BMW is leveraging AI to optimize its vehicle assembly line. By detecting bottlenecks in the manufacturing process, AI helps the company streamline workflow.

Conclusions 📌

Today, being flexible and respond to market demands in timely manner is a must for any industry. For the automotive, following the discussed tech advancements may lead to personalized customer experience, increased safety, and streamlined internal workflows.

With an agile approach and a willingness to innovate, automotive businesses can thrive in the fast-paced, technology-driven world of today and tomorrow.

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Originally published at https://www.visartech.com.

In today’s business landscape, IT infrastructure is critical to the success of most organizations. However, maintaining and optimizing an IT infrastructure can be a significant expense, especially for smaller businesses with limited resources.

DevOps best practices can help organizations streamline their IT operations, improve efficiency, and save money in the process. In this article, we will discuss the benefits of implementing DevOps, the essential components of a DevOps approach, and practical tips for reducing costs and maximizing efficiency.

Unleashing the Power of DevOps for Optimizing Your IT Infrastructure 💡♾️

Designed to drop the long-standing conflict between system administrators and software developers, the DevOps approach creates a favorable environment for the effective implementation of IT methodologies. The best practices of DevOps include test automation, continuous delivery, and a fast test-and-learn approach.

“DevOps promotes the idea of continuous improvement and fast software delivery. That helps businesses always keep their IT infrastructure up-to-date, taking into account all the rising trends, needed updates, and new features.” noted by Slava Podmurnyi on Forbes

Though DevOps is commonly associated with software development, its use for infrastructure management is equally effective. DevOps teams leverage advanced automation techniques, such as:

IaC (Infrastructure as a Code)

This implies abstracting the infrastructure characteristics from hardware and putting them into software code. To configure your infrastructure, you have to run a sequence of scripts containing information about the infrastructure parameters.

SDN (Software-Defined Networking)

This technique uses the same approach as IaC, but for the network appliances. Network devices like routers and switches can also have software-defined configurations. The DevOps approach makes full use of that.

This set of tools is used for synchronizing large, distributed infrastructures and networks. It could be an invaluable asset for expanding businesses.

Infrastructure Orchestration

As you can see, DevOps for infrastructure management enables you to automate the core configuration processes with little or no human intervention. This helps reduce support costs and eliminates human error.

Other outcomes of DevOps infrastructure optimizations are also quite impressive. As per Strongdm.com, with DevOps, the time for development can be reduced by 41%, and the time for processing requests to the support service — by 60%

From a business standpoint, DevOps optimization helps you improve your processes and bring them to a unified standard, quickly build and launch new products, and effectively test new business ideas. It also means you have to spend less on support team salaries while boosting the quality of your operations.

Read more: How to Optimize IT Infrastructure and Unlock the Cloud Potential Check the ways of making your IT infrastructure performance better

Reducing IT Infrastructure Costs with DevOps Practices: How Does It Work? 🤔

Using the DevOps best practices for infrastructure management is one of the most viable IT cost reduction strategies. So how does each DevOps practice translate into business benefits? Below we explain how to achieve infrastructure cost optimization using DevOps services.

Infrastructure and CI/CD Automation

Continuous integration and delivery practices streamline and automate the core aspects of infrastructure management. By automating infrastructure provisioning, developers are finally free from the tasks of configuring and setting up the servers, storage, hardware, and network appliances. Moreover, they can apply the same settings to many nodes of your infrastructure with only several mouse clicks.

This saves your team’s precious time and allows it to focus more on critical tasks rather than on infrastructure setup. Needless to say, this productivity boost is also cost-effective.

Relying on Third-Party Services

There are lots of third-party services that you can rely on. They don’t only simplify infrastructure management but also help reduce IT infrastructure costs.

The DevOps team can perform an audit of your existing infrastructure. This helps to check if its operational costs could be minimized using the products of reputable vendors.

Cloud infrastructure costs, for example, are usually lower than running a full-fledged on-premise solution with storage, network, and compute units provisioned manually using your company resources.

In some cases, yet, it makes sense to stick with an on-premise option or build your infrastructure solution that will suit your company’s needs best. Choosing the optimal service will need a detailed analysis of your processes and workloads. But a suitable third-party solution could help you reduce business expenses.

Infrastructure Usage Optimization

A lot of organizations have infrastructures running at full capacities even when they are not processing peak workloads. A cloud shift, in this regard, is one of the most efficient cost optimization strategies. With cloud DevOps best practices, it is possible to set up your infrastructure to run on-demand and scale up and down depending on the scope of your business tasks.

A streaming service, for example, may need extra capacities while broadcasting a major sports event. Paying for these resources regularly wouldn’t be economically justified.

Applying a cloud DevOps approach could help divide the necessary capacities only and exactly when needed. This practice can help reduce infrastructure expenses by up to 50%.

Resource Cost Optimization

Are you paying too much for your infrastructure resources? DevOps audit could provide you with an answer to this question. The solution lies in leveraging different cloud services with optimal pricing to solve each of your specific infrastructure needs.

For example, you could be storing your business data on-premises, and paying a hefty sum for storage servers and data protection. Cloud service providers, on the other hand, offer a range of storage and computing resources in different packages which are also priced differently. The use of DevOps services could help you pick the optimal combination of packages and save on technology infrastructure.

Read more: How to Save Money on a Web Project for Businesses
Learn how to select the best tech stack for your web solution

As you can see, the DevOps approach makes business cost reduction achievable by using a combination of modern tools, approaches, methodologies, and services. Let’s now move on to the next section and explore what industry-leading companies have to offer for infrastructure optimization.

Final Thoughts 📍

Adopting a DevOps approach allows all-sized businesses to achieve greater success and remain competitive in today’s evolving digital world.

The strategies discussed in this article provide a solid foundation for organizations looking to optimize their IT infrastructure while minimizing costs. By following these best practices, businesses can ensure they are well-positioned for future growth and success.

If you liked what you just read, show your support by clapping us to spread it among other people on Medium.

Follow us on Facebook, Twitter, Instagram, LinkedIn, Medium, and visit our corporate blog for more essays like this one on intelligent solutions.

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Originally published at https://www.visartech.com.

Cybersecurity can be compared to a fortress, protecting valuable information and assets from online threats, just as a physical fortress protects its residents from external dangers. Companies without a strong and reliable “fortress” are constantly at risk of a hacker attack.

According to IBM, in 2022 the average cost of a data breach was USD 4.35 million worldwide, and USD 9.64 million in the United States. These figures involve the cost of finding and managing the breach, lost revenue due to downtime, and the lasting harm to a company’s reputation and brand image.

So what are the best practices companies can use to protect their IT Infrastructure from such a financial loss in the future? Let’s figure it out!

Cybersecurity Practices Explained 🔐

Cybersecurity doesn’t shield your digital assets against physical theft. Or even vandalism and natural catastrophes. Thus, a physical security plan should include data recovery procedures. And it’s recommended that they use offsite backups situated in several geographical regions.

Here are the top ten practices to enhance your server and infrastructure security strategy in business:

#1. Smart Cybersecurity Policy

Understanding and addressing all the hazards is crucial for cyber security management. Establishing security standards should be your first step. They must be relevant to your company’s operations, your niche, and the skills of your personnel.

You should also clearly define the regulations for employee and administrative access to your systems. These include passwords, other end-user credentials, and content-filtering procedures. This will put IT infrastructure security policies in place.

Password security should be taken very seriously. Create strong passwords for every login and use two-factor authentication. Also, specify who handles what while handling cyber risks.

#2. User Access Review

Regularly check user permissions. Remove those that are no longer required, as well as any that are granted to users who leave the company to prevent unauthorized access. It’s best to use privileged access and access management technologies to limit the number of users who can obtain information.

Additionally, one of the greatest practices for network security is efficient password management. The rule is as follows: at least 10 characters in a password and periodical updates. You can use systems for managing passwords or include multi-factor authentication.

#3. Secure Protocols

Security protocols rely on the cryptography technique. This helps them protect sensitive data, financial data, and file transmission. They provide information on the data structure and data representation, as well as how the algorithm functions.

Make sure your web assets are using secure protocols. For example, Safe Socket Layer (SSL) and Secure Shell (SSH) offer a secure path for communication even across unsecured networks.

#4. Validated Software and Hardware

Choosing hardware and software, available at a price or even free, is really attractive. But making such a decision has certain unspoken dangers. You may select solutions that already have an efficient security mechanism built in. Yet this usually comes at a cost.

Besides, it’s crucial to refrain from obtaining software from unreliable sites. They could include malicious software in them. It can infiltrate your system and provide others with access to the private information of your enterprise.

#5. Robust Firewall System

A key component of any cybersecurity strategy should include firewalls. Make sure they are set up correctly because a poorly set firewall poses just as much risk as none at all.

Yet, a lot of businesses struggle with network-level firewall installation. Each employee’s gadget must have a firewall, but the overall systems should also be secured. Thus, it is strongly advised to set up hardware and packet-filtering firewalls. They add another layer of network infrastructure security.

#6. Code Aligning with Safe Development Rules

A framework like DevSecOps might be helpful for protecting your technological infrastructure. It can establish a security-focused attitude within the development team. Ensure the code complies to secure development principles.

#7. Data Encryption

Whenever possible, rely on data encryption. For hackers who successfully breach the system but lack the keys, encrypted files are generally worthless.

IT firms must regularly test data categorization and use encryption where necessary. Besides, VPNs can add another degree of cybersecurity. This concerns your employees who may need to access sensitive information from faraway locations.

#8. Backup Copies

Back up all your systems on a regular basis. Offsite backups are your best line of security against ransomware assaults. Back up both highly sensitive and operationally significant data. This is essential when dealing with cybercrime.

#9. Regular System Testing

Conduct frequent system stress tests for the ultimate security resilience in your organization. To find vulnerabilities, conduct security scans and penetration testing.

#10. Hiring Cybersecurity Expert

Even the finest practices for IT infrastructure protection might not always help. Companies still struggle to manage their time and resources to set cybersecurity in motion. Working with a cybersecurity specialist can help you avoid this hazard.

Read also: Budget-Saving Strategies to Optimize Your IT Infrastructure
Discover the best DevOps practices that help to reduce IT infrastructure costs

Developing Cybersecurity Strategy for IT Infrastructure: 4 Main Steps 📈

Companies start recognizing the threat that poor cybersecurity strategy represents to their business. More specifically, their productivity, goodwill, and bottom line. If you want to be genuinely safe, you need a clear plan for how to handle any future security needs.

These steps will strengthen your cybersecurity strategy:

Security risk assessment is carried out to evaluate, analyze, and improve your company’s cyber resilience. This process involves cooperation from many groups and data owners. The management’s commitment helps allot resources and execute the necessary cybersecurity solutions.

The value of different data created and kept within the company is likewise determined by cyber risk management. Thus, allocating tech resources where they are most required would be impossible without this step. Your management team must perform an IT infrastructure audit to determine the data sources that are most important to the firm. This can also indicate where the storage is situated and data vulnerabilities to properly assess risk.

Business goals must be aligned with your cybersecurity strategy. This is a golden role for success in critical infrastructure protection. Once your corporate goals are clear, it’s easier to start integrating the cybersecurity framework into it.

Focusing on different areas might help in developing security goals:

• Establish reasonable expectations;
• Assess your security maturity;
• Comprehend your company’s risk appetite;
• Take immediate action on simple tasks;
• Deal with security issues as they arise.

Cybercriminals use cutting-edge tactics to attack modern businesses. This includes companies of all sizes, geographies, and industrial sectors. So, you must have a solid plan for managing physical and cybersecurity across crucial systems and assets. This will help you operate in the present business climate.

The cybersecurity practices mentioned above will help protect your crucial technology infrastructure. As a result, your team can enhance its cyber security resilience. It will also prevent malevolent behavior of any sort that can threaten your information system resources.

The strategy assessments and policy plans are almost finished. This is the time to allocate tasks to teams and prioritize remedial efforts. To internal teams, assign cybersecurity tasks according to their priority. Also, make use of the Project Management team inside your company, if one exists. Provide leadership, interact with the internal teams, and plan the activities if there is no project team available. Set realistic deadlines: it’s best to plan for more time than you think.

Final Words📍

A serious approach to cybersecurity today will save you from unplanned expenses tomorrow. The above-mentioned practices and stages to creating a cybersecurity strategy are a great point to start. To be sure that all vulnerabilities are protected and a strong “fortress” is built that even the most experienced hacker cannot overcome, consider hiring a reliable security consultant to monitor network and device security.

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Follow us on Facebook, Twitter, Instagram, LinkedIn, Medium, and visit our corporate blog for more essays like this one on intelligent solutions.

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Originally published at https://www.visartech.com.

IT infrastructure is the foundation of any organization’s operations. The modern age requires companies to have a fast, reliable, and secure system. This will help accommodate the business needs and guarantee prompt integration of the IT world’s novelties.

As such, superior IT infrastructure is a unique system adjusted to the business objectives. Yet there are base-line types of infrastructure and common methods of its optimization, which we are going to discuss in this article.

IT Infrastructure Basis: Main Types 🤔

An adaptive, reliable, and secure business IT infrastructure gives your organization a competitive edge in the marketplace. If an IT infrastructure of an organization is poorly arranged, connectivity, performance, and security challenges for enterprises, including system outages and breaches, are possible. The effectiveness of your company’s infrastructure may ultimately determine whether it is profitable or not.

There are three well-known types of IT infrastructure that support core business objectives. They have enhanced staff productivity, exceptional customer service, the prompt introduction of new solutions, and data gathered in real-time for fast and informative business choices.

#1. On-premise Infrastructure

A traditional type of technological infrastructure. It consists of standard hardware and software elements and is often established on-premise (for both private and business-specific use).

However, such configuration often demands more resources compared to other forms of IT infrastructure. Specifically, the amount of free space at the deployment site and the equipment’s own power. On-premise infrastructure must thus be developed and installed at higher costs.

#2. Cloud Infrastructure

A cloud computing option is very similar to the traditional type of IT infrastructure. But there are a few important differences that make the cloud the most beneficial option for business. Namely, end users may access the infrastructure practically anywhere the internet connection is possible and from any device using virtualization.

No wonder this type is the most preferred choice by businesses. Because of its flexibility, you may manage the internal company infrastructure without spending money on hardware and data centers.

#3. Hybrid Infrastructure

This type of infrastructure is simple. It’s the combination of on-premise data centers as well as private and public clouds. Your company’s needs dictate where the operating systems will be carried out within a hybrid environment.

Firms may use the hybrid type to capitalize on the flexibility of a public cloud and the security of a private cloud. This architecture is considerably more adaptable than a conventional type, enabling you to customize the cloud solutions to meet your unique requirements.

However, due to the presence of two distinct IT environments, the hybrid infrastructure’s biggest disadvantage is the increased management complexity. Additionally, it may be more expensive.

These days, businesses prefer cost-cutting strategies, which makes a cloud IT infrastructure their top choice. With this kind of architecture, companies may rent data storage from cloud computing service providers rather than shelling out cash for owning internal physical servers. Higher scalability and infrastructure automation are two additional benefits that cloud computing can provide.

Main Benefits of Optimizing IT infrastructure Using Cloud and DevOps Practices 🌥 ♾

If your company aims to hit the sweet spot between digital transformation, IT infrastructure cost optimization, and market recognition, cloud adoption is an absolute necessity. DevOps, in turn, fosters teamwork through increased productivity, smaller development lifecycles, and shortened time-to-market. When these two operations are combined, the cloud development methodology undergoes a sea change.

The on-premises infrastructure usually has excess resources to handle peak loads. By fully exploiting the benefits of cloud computing, DevOps can truly make a difference. So, if you choose to automate vital steps in business infrastructure optimization, you only use and pay for the assets you require.

Such a combo can turn into a practical cost-saving measure for your team. A mix of the cloud capacity and DevOps best practices gives you the following advantages:

Increase Storage Agility

Cloud service providers can give limitless processing, network, and storage space for customer data. With its enormous scalability and flexibility, cloud computing allows organizations to store their data in a distant place that is accessible from any computer or device without sacrificing data management. This helps them deploy apps in various countries and regions of the world, reduce storage expenses, and free up space on internal servers.

Read more: Trunk Based Development in Continuous Integration

Discover the benefits of being in real-time sync

Reduce Costs

Because they can quickly add more resources, the cloud helps DevOps teams develop new procedures and enhance the ones they already have. Enterprises must take into account embracing technologies like cloud services to build a dynamic DevOps environment.

The cloud reduces business costs associated with purchasing hardware and software, setting up and maintaining data centers, procuring servers in bulk, professional assistance, and other services. Having a thorough DevOps strategy in place allows a company to dramatically reduce expenses while also boosting profitability.

Companies using data on a variable basis should consider the cloud. Though, regardless of the size of their budget, nobody wants a nasty surprise regarding the cost of company infrastructure optimization. DevOps teams offer the extra benefit of cloud infrastructure cost optimization by focusing on resource consumption first.

Accelerate Deployment

One of the greatest benefits of combining cloud and DevOps is enhanced productivity. Enterprises may expedite their development procedures by integrating the two. This results in projects being completed faster and with fewer errors. Furthermore, more frequent solution releases improve the quality of the final product by enabling the prompt fix of any flaws and the introduction of a new feature.

As a result, your company’s resources will be used more efficiently, and you’ll be able to deliver products and services to the market rapidly in today’s business environment. This way, businesses may shorten the time it takes to develop new solutions by automating processes and leveraging the synergy of the cloud and DevOps.

Improve Security

High-security standards are a critical problem for both DevOps and the cloud. The process doesn’t end after architecting and implementing the necessary security controls. DevOps teams must constantly monitor their cloud infrastructures to keep security in check. They can set alerts for any configuration changes (e.g., changes in security groups or unauthorized access).

The agile DevOps process incorporates security into the solution through proactive security audits and security testing. Detecting any critical areas in the development pipeline is another important aspect of DevOps infrastructure optimization, particularly when it comes to security measures.

DevOps teams must adhere to security best practices to provide solutions that their clients depend on. In case any vulnerability arises, they monitor, manage, and reduce security risks.

According to Gartner, by 2025, more than 85% of enterprises will embrace the cloud-first philosophy to fully implement their digital goals. Using cloud technology and DevOps services, businesses now have access to limitless benefits and solutions at a pace that works best for them. That is the unlimited functionality, simple and quick optimization, and agile IT environment.

When DevOps and the cloud work together, they build on each other’s advantages to provide an even more appealing product or service. DevOps teams are using the cloud to streamline their tech stacks. The cloud offers resources for centralized deployments and has the potential to enable DevOps right out of the box. The construction and architecture of clouds, in turn, enable them to fully utilize all DevOps techniques.

Final Thoughts 📌

No matter the type of IT infrastructure, proper one can ensure easy maintenance, security, and decreased experiences associated with it. Achieving the mentioned made easy by adopting the combination of cloud computing and DevOps practices. Besides, it will provide you with market competitiveness and the ecosystem for corporate advancements. Major benefits in themselves.

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Originally published at https://www.visartech.com.

Simulation of the “what if” scenario in the mass production industry allows us to understand the current state and possible ways to improve the functioning of factories. Shortly, this is the basic principle of digital twin operation.

Interesting fact: mass production is one of the largest industries that use virtual replicas. They copy the state and changes of assets, people, factories, or product lines. So let’s see how well-known companies use the technology.

What Is the Digital Twin Value in the Manufacturing Industry? 🏭

Along with IoT and big data, DT development is currently the major driver of digital transformation in manufacturing. The stats are quite revealing: the mass production industry is the largest market for digital twin services. The global value of the DT market for manufacturers is predicted to reach 6.69 billion in 2025, as stated by Statista.

In the section below, we will explore how exactly it accelerates the production processes in manufacturing and achieve higher efficiency.

But what is a digital twin in manufacturing, by definition?

The digital twin recreates physical objects, assets, and operations, allowing for timely and cost-effective optimization, process monitoring, improvement, and maintenance. The virtual twin in manufacturing leverages the most recent operational data to create a fully-synchronized replica that the decision-makers can rely on.

In smart manufacturing, a digital twin connects the industrial IoT to its physical counterpart, which serves to build an abstraction of a real-world object in a digital space. The metrics from the object are then used to model and predict its status in the ever-changing working environment.

The most revolutionary thing about applying the digital twin for manufacturing is a step from analyzing the past to recreating real-time dynamics and predicting the future. For businesses, this means avoiding unnecessary expenses and achieving a competitive advantage.

The digital twin model evolves and reflects real-life changes in processes, personnel, and machinery. The DT system not only improves the productivity of a single production line but is also able to adjust the production network of interconnected systems and intelligently respond to changing business requirements.

Read more: Digital Twin Development Benefits and Costs
Learn ways digital twin technology can update your businesses

Real Use Cases of Using Digital Twin in Manufacturing 📋

Despite the fact that creating digital twins is a relatively new approach, it is already widely embraced by industry giants across a number of segments, from consumer electronics to energy tech. As of today, the list of companies using digital twins to boost their manufacturing processes includes:

#1. Renault Group (Automotive)

The French automotive giant uses the product digital twin approach to develop virtual copies of real-world vehicles before they are produced. The product journey begins with creating the virtual vehicle design: from shape and appearance up to the smallest details of the interior. After the design is ready, the engineering department begins working on the virtual model of all the technological parts: engine, electronics, mechanics, and navigation systems included.

Building a digital twin as detailed as this one enables Renault to test their vehicles before the actual verified design and engineering draft hits production and ensure maximum safety. The manufacturers can check if the vehicle’s modules comply with existing standards and make changes, if necessary, before assembling the actual product.

#2. Kaeser (Machinery Manufacturing)

The German compressor production and service firm is another manufacturer on the list of companies using digital twins. Kaeser uses digitization to expand its product range. Rather than selling compressor units and leaving customers to operate them, the company adopted an as-a-service model. The customer gets charged based on their air consumption rates, and the company leads the unit through its lifecycle along with all the necessary maintenance and repairs.

The DT lets the vendor know about everything that happens to a product or asset before the customers even notice any changes in the unit’s operations or behavior. The digital twin process enables Kaesen to eliminate problems before they become possible and develop predictive maintenance programs for their products.

#3. Unilever PLC (FMCG)

This manufacturing giant offers us one of the most impressive digital twin use cases in manufacturing. The company started out by building 8 DTs of its factories located in different world regions. As of 2020, Unilever has completed more than 100 digital manufacturing sites to create a virtual model of the entire supply chain.

This approach is helping to Anglo-Dutch FMCG giant to boost productivity, cut waste, optimize material usage, and ensure high compliance and quality. Every factory process gets monitored with sensors sending data to an enterprise cloud where the DT is recreated. The employees on sites can assess the DT data via handheld devices, model problems and solutions, and share data with colleagues.

#4. Boeing (Aviation and Aerospace)

The world’s largest aerospace company is using DTs for aircraft modeling, engineering, and design. The need to organize, manage and derive information from loads of data prompted Boeing to create a digital twin of every asset and system involved in production. Boeing plans to share the results of this fundamental project with the supply chain participants.

The DTs are now helping the airspace giant to predict product components’ performance in varying conditions, and plan repairs and replacements. Boeing’s other digital twin use cases in manufacturing include calculating cargo balances for the optimal and safe use of cargo room on board the plane.

#5. Bridgestone (Tire Manufacturer)

Another company using DTs is Bridgestone. The world’s top producer of tires and rubber uses product DTs to estimate how various conditions including driving styles will impact their products. This helps vehicle fleets pick the optimal tire options for their purposes. Thus, the application of DTs helps increase product lifespans and protect the wheels from breakages.

The company also uses virtual models to test and design its products. Running tests in a virtual environment helps Bridgestone accelerate production by almost 50%. The DT application also enables the company to share virtual twins of their upcoming products with partners for approval.

#6. FMC Technologies (EnergyTech)

In the energy sector, the oil and gas service company FMC Technologies is taking advantage of DT to improve the quality of their processes, detect and eliminate operation bottlenecks, and plan production in advance to meet future market needs. The company initially implemented DTs to maximize output and adjust its manufacturing lines to higher product quantities.

As a result of the digital twin implementation, the company managed to examine and optimize operational processes, evaluate resource requirements, reduce risks and make informed decisions about equipment spending. FMC Technologies expanded the production throughput by 50%, due to digital manufacturing.

#7. Electrolux (Electronics)

The Swedish domestic electronics manufacturer runs 48 production sites and has a comprehensive digitization strategy. Its first steps involved the simultaneous launch of several manufacturing projects. Consequently, the company plans to create digital twins for all of its production facilities.

The company built a simulation of both the factory and the material flow in order to boost production capacity and efficiency. Due to the implementation of the pilot project, Electrolux managed to bring the products and manufacturing lines to the desired standard. Further, the company plans to launch a series of employee training to familiarize all its workers with the DTs.

The examples above should have given you an answer to the question of ‘What is digital twin in manufacturing?’ and inspirations on how you could use this technology to boost the efficiency of your facility. In the next section, we will cover the essential technology for custom digital twin development.

Final Words 💬

The rapid development of technologies and the growth of competition encourage more and more companies to use virtual twins. Depending on your goals and the specifics of the industry, the digital solution may be different. But one thing is certain — the idea of the digital twin is the driver that boosts the efficiency of your facility.

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Originally published at https://www.visartech.com.

The growth of the company directly depends on the development of its employees. Aimed at professional development, corporate training uses various tools to maximally involve the worker in the process.

Digital twin technology has successfully proven itself in the market of tools for employee training. Along with VR/XR solutions, 3d virtual models significantly increase the Wow-effect of employee journey and training. What other results does this technology offer? Let’s figure it out!

Digital Twin Solutions to Power Up Corporate Education Strategy 🆙

Corporate learning is essential for attracting and keeping top talent but, unfortunately, it poses several issues that render it useless. They include poor educational materials, a meager spending plan, and a personnel shortage. In addition, businesses face difficulties with:

• Monitoring the learning process;
• Offering simple access to learning materials;
• Quickly and efficiently training new hires;
• Strengthening the leadership bench;
• Capturing employees’ attention;
• Ensuring workplace compliance.

Using digital twins is an effective way to close existing corporate learning gaps. Plus, it’s smarter and more cost-effective to practice on a digital twin than expensive equipment. There are different types of digital twins, and each fulfills its purpose.

Read more: Digital Twin Development Benefits and Costs
Learn ways digital twin technology can update your businesses

But there is one type that best fits the core business goals — an ecosystem twin of your organization. It’s a virtual representation of a company, including all the physical facilities. Such twins can be used to perform employee training, create data dashboards, execute simulations, and more.

Ecosystem Twins for Enhancing Corporate Training 🌐

Ecosystem twins can sift through the deluge of data to offer valuable business insights using digital technology. In essence, businesses can now better collaborate and make educated decisions in the virtual environment. They do so by using information streamed from their counterparts in the actual, non-virtual world.

By ecosystem twin, we mean that every resource your company owns, every operation, and even every employee will have their virtual replica. They are connected in the same way as in the real world. This allows your workers (and potential trainees) to perform any type of required work digitally before trying out how it works in a physical environment. Employees will be able to learn by interacting with 3D digital representations of a company and equipment, thanks to immersive experiences provided by digital twins.

Let’s go more into the solutions that companies using digital twins for corporate education get:

• Personalized Employee Learning

By offering employees training specifically tailored to their level of skills and development goals, an enterprise digital twin can enhance their performance. Companies, in turn, obtain a comprehensive understanding of individual behaviors by collecting and processing employee data. A system may recommend to the trainee writing and public speaking courses if the virtual twin has communication or computer skills issues. Alternatively, it can provide brief instructions on productivity platforms.

• Simulation Training Sessions

Digital twins can be efficient in allowing employees to practice on a physical object only using its virtual version. Plus, learning with a virtual twin before working on a high-risk location or machinery lessens safety hazards. Employees trained on a simulation digital twin are more capable of handling top-level tasks in real life if the company exposes them to various simulated scenarios. They can learn how to operate machinery and handle emergencies. It can also bridge the knowledge gap between newbies and experienced personnel.

• Safety Training

Accidents caused by ignorance of safety rules are a common problem in corporate learning. However, they might be decreased with effective safety pre-training using digital twin technology and simulated emergency scenarios. They include fire, truck accidents, explosions, etc. If an operator has not received proper emergency response training, it might be lethal for an injured coworker. Thus, virtual learning delivers a simple, stress-free, and secure way for safe instruction.

• Highly Engaging Tasks

Immersive technologies (i.e., AR, VR, XR) are interactive tools that encourage active participation from employees. Harnessing their competitiveness with gamification tactics is one of the finest ways to keep workers engaged in their job. Moreover, employees get instantaneous virtual prizes, strengthened relationships with coworkers, and unexpected competition in seemingly routine jobs. This enhances their experiences, thus reducing churn and enhancing overall productivity.

• System Behavior Examination

A digital twin can capture and explain the behavior and processes of its physical twin. Your workforce may better study system behavior under various scenarios, comprehend failure issues, and gain knowledge about system sensibility by running simulations. This is possible by analyzing the data sent from a physical system to the virtual space. In addition, a virtual twin can help workers understand how adjustments to the system’s characteristics and outside disturbances affect how well it functions for the business.

It’s interesting to note that digital twins also help HR managers step up their game and make the onboarding procedure much more efficient through:

• Advanced Candidate Assessment

Through simulation and assessment of the abilities required for a certain position, immersive technology can make it simpler to screen prospective applicants. HR departments may find applicants with the proper skill set using digital twin simulations.

• Efficient Onboarding Process

A digital onboarding process is an excellent approach to introducing new hires to the team. HR managers can interview new candidates by using a 3D tour around the company. This helps employees establish professional connections and earn the trust of their peers. Additionally, digital onboarding helps candidates get a head start by getting familiar with the location and its safety guidelines.

Read more: Metaverse Defined & Business Opportunities
Find out metaverse capacities and embrace virtual world solutions

• Better Workload Management

Adapting training resources to a person’s capacity to process and remember information is what the cognitive load measurement is about. The data is continually sent into a digital HR management system. It identifies what type of training and workload is required for a particular person and tailors staff training instantly. Organizations may also manage employees’ workloads by monitoring their calendars and being proactive.

Let’s Sum Up📍

From a virtual copy of a person to a copy of an entire enterprise — the possibilities of digital twins reach wide limits. Thanks to this, employee training becomes not a formal duty, but an exciting and efficient process. Without the need to install expensive equipment, digital representation of the object closes corporate learning cracks.

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Originally published at https://www.visartech.com.

These days, Industry 4.0 has the greatest impact on the technical improvement of the enterprise. Its characteristic features are the development of information and communication technologies, automation, and robotization of production processes. The integration of innovative solutions is relevant for all-sized businesses.

One of the most impressive technologies powering Industry 4.0 is Digital Twin. Next, we are going to discuss what exactly digital twin is and how it can boost businesses.

Digital Twin Fundamentals

According to 87% CEOs, digital twins are increasingly crucial to their company’s capacity to cooperate in strategic ecosystem alliances. What’s more, 65% of these same executives anticipate seeing their company boost its investment in digital twin solutions over the next three years.

In the modern context, industry-changing digital twins are exact copies of systems or machinery, only virtual. These are cutting-edge 3D software models, which mimic nearly every aspect of a physical twin. It can be a product, a process, or a service. To comprehend its condition, respond to changes, enhance operations, and provide value, digital twins rely on sensor data collected in real time. Such data includes analytics, event data, condition or status, and metadata.

To maximize the commercial prospects that these companies pursue, a virtual twin technology incorporates all data, models, and other information about a physical asset. So, the main idea behind this concept is predicting and fine-tuning performance using simulation- or data-based methods.

The digital twin solution is a virtual space, wherein you can test your ideas. However, a 3D digital twin can only be a major asset if it can make precise predictions. This means that a virtual twin is necessary for:

• Understanding and modeling the performance of an asset;
• Forecasting its behavior;
• Optimizing its use and maintenance practices.

Therefore, this smart business solution serves as a link between the real and virtual worlds. That’s why it’s worth creating a digital twin.

But first, let’s look at the digital twin components to understand how it functions:

• AI

To act quickly and efficiently on behalf of their real twin, digital twins should be provided with a controller, which is integrated with ontologies, machine learning, and deep learning methods.

• Unique identifiers

To connect with their physical twin, digital twins would need to have individual identifiers.

• Sensors & actuators

Real twins might be fitted with sensors, allowing digital twins to mimic their senses of sight, hearing, taste, smell, and touch. They employ actuators to accomplish this, depending on the demands of the application.

• Communication

Digital twins should be able to communicate with their surroundings. The Tactile Internet and 5G standards must be followed for communication to occur, including the tactile sense.

• Digital platform

The integrated service platform combines information about the system, software tools, and models into unified services for the physical and virtual shop floor.

• Representation

Based on various digital twin applications, they can be software components without a physical representation, or they could have a virtual representation as a 3D avatar, hologram, or even a humanoid social robot.

Read more: What Is Metaverse and How Businesses Can Benefit From It
Find out metaverse capacities and embrace virtual world solutions

• Privacy & security

Utilizing cutting-edge biometrics and encryption methods, as well as resolving legal and political difficulties, would be necessary to protect the identity and privacy of the physical twins.

What Are the most Powerful Benefits of Digital Twin?

Can you even imagine the idea of a single digital twin that can smoothly work across domain and system boundaries?

The benefits of digital twins, such an all-encompassing solution, are indisputable:

#1. Improved R&D

Digital twins produce a wealth of data regarding expected performance results. This facilitates more efficient product research and development. Thus, before production, businesses may use this data to get insights that will help them make necessary product improvements.

Also, digital twins are employed in product development to help developers foresee how a development cycle will turn out. They are also useful for monitoring production systems after a product has entered production. Digital twins can even help decide what to do next when a product is nearing the end of its existence and needs to undergo final processing.

#2. Accurate Insights

The creation of a digital twin system offers more thorough support for decision-making. This comes in handy for different activities through the assessment of current conditions, the diagnosis of past issues, and the forecast of future trends.

Situational awareness and real-time insights are provided by digital twins that are synced with physical entities and tailored to the particular issues to be solved. These insights are often more credible than traditional methods of searching for data across multiple corporate platforms. They raise the caliber of decisions based on that data. In addition to decision support, a digital twin’s structured information approach enables decision automation.

#3. Planned Maintenance

A virtual twin solution helps increase business productivity and efficiency, all while cutting costs and time. Despite having a strong desire to integrate digital twins into their everyday operations, a large part of small and medium-sized firms (SMEs) have no clue about the primary technologies and tools of this concept. Furthermore, because digital twins represent such a complicated system, they must be oriented, run, as well as optimized over an extended period.

#4. Optimized Workflows

Digital twins can efficiently monitor, detect, predict, and optimize a physical asset along with collecting sensory data, AI, and big data analytics. By introducing new business strategies or enhancing efficiency through digitization, virtual twins can impact digital transformation for companies.

Alternatively, digital twins can monetize and apply real-time information to alter the business model of an organization. This is why companies start exploring methods to commercialize and optimize these new digital assets as they become more experienced with exploiting digital twins.

Conclusion

The growing popularity of digital twins is easily explained by its benefits for businesses. Thanks to digital twins, organizations get situational awareness and understanding in real-time, optimize work processes, and effectively plan maintenance.

The modern creation and implementation of a digital twin help enterprises to take leading positions in the market in the future.

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Originally published at https://www.visartech.com

Web 3.0 is shaping up right in front of our eyes. This is the era when computers can understand and interpret information, and deliver personalized content, and the web itself is built around decentralized technologies. Additionally, this technology is bringing new ways organizations are doing business. Let’s take a closer look!

Why Should Businesses Embrace Web 3.0?

Keeping abreast of the rising trends is beneficial for every company. However, the advantages of doing business on the web using Web 3.0 technologies deserve a detailed description.

Below are the most impactful innovations that Web3 brings to the table:

Data ownership and control

Web 3.0 technology will eventually enable users to take full control of their data. From a business perspective, this will rid businesses of the need to adhere to burdensome regulatory requirements, since users will have full data ownership. It will also be up to clients to decide which part of personal data they are ready to share.

Interoperability

This spells good news to anyone familiar with web application development. Web 3.0 tools will run on all devices or platforms, so cross-platform availability will no longer be an issue.

Permissionless blockchain

With no central authority, there is no bias and discrimination, so anyone can join the network and be its participant. For businesses, this may quickly and painlessly transfer digital assets across borders reliably and securely.

Anti-monopoly

Since users will have full control over their data, the monopoly of tech giants will be broken. That, in turn, will create a more transparent market based on fair principles.

However, the adoption of Web 3.0 will require companies to rethink their business models and adapt to generating revenue in an absolutely different way.

What Are the New Business Models Brought by Web 3.0?

From 2010 forward, the main business model of Web 2.0 has revolved mostly around the collection and monetization of users’ data. Big market players are aggregating users around their apps and services and profiting from showing them targeted ads.

Other popular business models of the Web2 world are:

• Software-as-a-Service (SaaS). Create a web app that sells annual or monthly subscriptions to its services — this is how the SaaS model works in a nutshell. Consider creating a web application available on a freemium basis.
• Marketplaces. Web 2.0 is an era of marketplaces — web-based platforms connecting clients to companies/individuals selling products or rendering services. For example, the best-known eLearning marketplaces are Udemy and Coursera.
• Sharing economy. A nontraditional way of e-commerce business entails shifting to more collaborative sharing resources.
• Referrals. Attracting new customers through recommendations and word of mouth.
• Subscription content. Aimed at selling products or services using a recurring payment system.
• Pay per click. The online advertising model, where an advertiser pays for each clicked link in the ad.

By contrast, the online business models of the new web3 world will include:

• Revenue sharing. Splitting earnings between all the participants of a business venture, in order to encourage them to further innovate and build new products.
• Percentage fees. A marketplace, for example, may charge a small fee for every transaction performed on the platform.
• Income sharing. Within the income sharing model, revenue is distributed between all the value chain participants.
• ICO’s. The term ICO stands for initial coin offerings. A company may sell its own coin or currency to raise funds.
• Continuous funding. Web 3.0 companies also leverage a continuous funding revenue model. Rather than selling tokens all at once, this model presupposes selling them continuously over time.
• Curved bonding. This model distributes the price of tokens across the value growth of an asset. When the value increases, so do the token price. This model gives people an incentive to invest in advance before the token really gets expensive.

Summing Up

The future of web development lies in the further evolution of Web 3.0. Ultimately, Web3 spells improved security, transparency, faster transactions, decreased data storage costs, and a better user experience.

Since the new-gen web is still in its infancy, most companies lack internal expertise in internet 3.0 web technologies. Therefore it makes perfect sense to look for a reputable web development company proficient in website application development and building distributed apps.

Interested in creating a Web3 solution for your business? Let’s develop a web3 app together with a team of professionals!

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Originally published at https://www.visartech.com

Talking about fintech transformation, we can’t overlook fintech Application Programming Interfaces (APIs) and the role they are playing in the massive effects when fintech solutions change the finance industry.

How Does API Work?

In fintech, APIs serve as mediators between different pieces of software, enabling them to safely connect and exchange data.

APIs also contain a set of functions that can be tailored for different purposes, enabling developers to use them as building blocks for new apps.

The Benefits of Using Fintech APIs With Application Examples

For businesses, the use of fintech API is beneficial in a number of ways:

1. Third-party integrations

While users are continuously demanding new services, adding them often involves expenses. Making various services available through third-party integrations conducted via APIs keeps customers happy while ensuring cost-efficiency.

2. Security and compliance

In support of Open Banking, many countries introduced regulations requiring financial companies to provide third parties with access to customers’ data. Fintech APIs offer companies the means of working with sensitive data and opening it to third parties while keeping it secure. For example, APIs are capable of letting users control which apps may access their bank accounts, instead of logging into a bank account to grant permissions or letting the app learn their usernames and passwords.

3. Fast time-to-market

By using APIs companies can quickly add new app features and benefit from the accelerated launch of new products and services. They can also tailor API functions to their specific purposes and reuse some of the application components, which saves time and cuts the costs of fintech software development.

4. Cross-platform availability

Due to APIs, customers’ mobile, desktop, and wearable app versions can sync easily which accounts for seamless customer experience and better customer relationships.

Read more: How to Save Money on a Web Project for Startups and Enterprises

Top Use Cases of Fintech APIs

To be more specific, let’s now take a closer look at how financial companies are leveraging APIs to achieve cost-efficiency, fast time-to-market, and customer satisfaction. These top use cases for fintech APIs offer some vivid examples.

Digital banking

In banking, APIs are used to expand the portfolio of services. Authentication, payment processing, analytics, account information, and loyalty programs are some of the main domains for the use of fintech APIs. For example, HDFC allows RazorpayX API to access its services and perform money transfers and balance checks.

Lending and Mortgages

The use of APIs enables lenders to accelerate loan application processes and achieve greater customer satisfaction. Eli Mae, for example, is using APIs to accelerate the processing of loan applications. Another example is PayMyParents that utilizes an API for payments processing.

Verification engines

Formerly, the verification of information submitted by users of financial services required the work of several staff members. With the help of APIs, fintechs like Zillow are now doing it faster, by automatically contacting other electronic systems for verifications.

Opening accounts

This used to be a lengthy procedure, which required a physical visit to a bank. Companies like Meridian Link offer fintech APIs that are now enabling clients to easily open accounts online.

Aggregating data

To estimate the customers’ financial situation, companies have to aggregate data from all the clients’ accounts and view it in one place. Venmo, for instance, uses Plaid APIs to enable the pay-with-your-phone option.

Financial Market Data

Companies can also use APIs to broadcast financial data from multiple sources in real-time. For example, Thompson Reuters API enables companies to bring customers the most precise and recent financial market data to power their legal and commercial decisions.

Read more: Non-Banks and P2P Lending: SMEs Go Digital

The Most Interesting Fintech Startups with APIs

Some promising fintech startups built using APIs include:

• KissKissBankBank: A crowdfunding platform based in France. Uses MangoPay API to transfer payments.
• Betterment: A savings and investing app that uses Plaid API to aggregate account information.
• Marqeta: This card issuing and payment solutions provider uses Alloy API for identity verification and fraud prevention.
• Transferwise: This money transfer service uses Twilio API to communicate with customers.

Final thoughts on The Future of Fintech APIs

Fintech APIs are at the forefront of the fintech revolution, helping businesses introduce innovative services, and venture into new markets without getting into heavy expenses.

Most importantly, Fintech APIs are available to companies of all sizes — from small fintech startups to large established enterprises and help level the field for competition in financial services.

For developers, APIs are opening the doorways to reliable and fast delivery of apps and services. Ultimately, the end clients are enjoying better customer experiences are reaping financial benefits.

Interested in creating your own fintech or banking solutions? Let’s develop a fintech app together with a team of professionals!

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The story was originally written by Slava Podmurnyi, CEO & Co-Founder of Visartech Inc., and published on Nordic APIs.