Mainframe vs. Server: How Are They Different?


While choosing the right technology for your organization, it’s essential to understand the differences between mainframe vs server. After all, mainframes have been the backbone of large organizations for decades. However, servers have become increasingly popular recently, offering scalability and affordability for many applications.

But what exactly sets these two technologies apart, and which is right for your business? Although cloud computing provides businesses with greater scalability, cost savings, flexibility, security, and reliability than traditional mainframes or servers.

In this article, we’ll take a closer look at both techs’ key differences, strengths, and weaknesses to help you make an informed decision.

What is a Server?

A server is a network device that manages access to hardware, software, and other resources while serving as a centralized storage place for programs, data, and information. It may host anything from two to thousands of computers at any time. Accessing data, information, and applications on a server using personal computers or terminals has become easier. 

What is a Mainframe?

A mainframe’s data and information can be accessed via servers and other mainframes. However, the increased scalability can only be accessed with cloud services that allow businesses to quickly and easily increase or decrease the resources they use, depending on their needs. Unfortunately, this is not possible with mainframes or servers.

Enterprises can use mainframes to bill millions of consumers, process payroll for thousands of employees, and handle inventory items. According to research, mainframes handle more than 83 percent of global transactions. 

Differences Between Mainframe And Server

Continuing the debate on server vs mainframe, these are two of the most important computer systems used in today’s businesses. Both are designed to handle large amounts of data and processing power, but they differ in several ways and have diverse strengths and weaknesses.

Size and PowerMainframes are large and powerful computers designed to handle heavy workloads. These computers today are about the size of a refrigerator.
Mainframes can process massive amounts of data and support thousands of users simultaneously, making them ideal for large organizations with critical applications.
A typical commodity server is physically smaller than a mainframe designed for specific tasks or tasks. They can range in size from a small tower computer to a rack-mounted System.
Servers often support specific business functions, such as File and print services, web hosting, and database management.
User CapacityMainframes are designed to handle many transactions per second, providing fast and reliable access to data.Servers are known to support fewer users. They are designed to handle a smaller workload but can be scaled up to support more users if necessary.
CostMainframes are more expensive than servers in terms of initial investment and ongoing maintenance costs. They require significant hardware, software, and personnel investment to set up and maintain. However, their reliability and security can justify the cost for organizations with critical applications.Servers are typically less expensive, making them a more cost-saving option for smaller businesses or those with less critical applications. They are easier to set up and maintain and require fewer resources to run.
ApplicationsMainframes run critical applications, such as financial transactions and airline reservations, where dependability and safety are of utmost importance.
They are constructed to handle massive amounts of data exclusively and provide quick and efficient access to information.
The server can be used for various tasks, including file and print services, web hosting, and database management.
They are often used to support specific business functions and can be scaled up to cater to the ever-changing business demands.
Reliability Mainframes are known for their high levels of reliability and uptime. They are capable of handling critical applications and providing protected and faster access to data, even during a system failure.
They are also equipped with advanced security features to secure sensitive information.
Servers can be less reliable due to their smaller size and limited resources. They can handle different workload levels than mainframes and may provide different levels of reliability and uptime efficiency.

Suitable Use Of Mainframe Computers in various industries and why?

Once upon a time, the term “mainframe” referred to a massive computer capable of processing enormous workloads. Mainframe is useful for health care, schools, government organizations, energy utilities, manufacturing operations, enterprise resource planning, and online entertainment delivery.

They are well-suited for the Internet of Things (IoT), including PCs, laptops, cellphones, automobiles, security systems, “smart” appliances, and utility grids. 

IBM z Systems server control over 90% of the mainframe market. A mainframe computer differs from the x86/ARM hardware we use daily. Modern IBM z Systems servers are far smaller than previous mainframes, albeit they are still significant. They’re tough, durable, secure, and equipped with cutting-edge tech.

The possible reasons for using a mainframe include the following:

  1. The latest computing style
  2. Effortless centralized data storage
  3. Easier resource management
  4. High-demand mission-critical services
  5. Robust hot-swap hardware
  6. Unparalleled security
  7. High availability
  8. Secure massive transaction processing
  9. Efficient backward compatibility with older software
  10. Massive throughput
  11. Every component, including the power supply, cooling, backup batteries, CPUs, I/O components, and cryptographic modules, comes with several impressive levels of redundancy.

Mainframe Support Unique Use Cases

Mainframes are unique to be utilized when the commodity server cannot cope. The capacity of a mainframe to handle large numbers of transactions, their high dependability, and support for various workloads make them indispensable in various sectors. The companies may use commodity servers and mainframes, but a mainframe can cover gaps that other servers can’t.

Mainframe Handle Bigdata

According to IBM, the Z13 mainframe can manage 2.5 billion daily transactions. That’s a considerable quantity of data and throughput. To handle big data, you must look for a server upgrade to a mainframe. 

It’s challenging to compare directly to the commodity server since the number of transactions they can support varies depending on what’s on the server in question. Furthermore, the sorts of transactions may be vastly different, making it impossible to compare apples to apples.

However, assuming that a typical database on a standard commodity server can handle 300 transactions per second, it works out to roughly 26 million transactions per day, a significant number but nothing near the billions a mainframe can handle.

Mainframes Run Unique Software (Sometimes)

Mainframes are generally driven by mainframe-specific programs written in languages like COBOL, which is a significant differentiating characteristic. They also use proprietary operating systems, such as z/OS. Three important points to ponder are:

  • Mainframe workloads cannot be moved to the commodity server.
  • You may transfer tasks that typically run on a commodity server to a mainframe.
  • Virtualization allows most mainframes to run Linux as well as z/OS.

As a result, the mainframe provides you with the best of both worlds: You’ll have access to a unique set of apps that you won’t find anywhere else and the capacity to manage commodity server workloads.

Mainframe May Save Money If Used Correctly

A single mainframe can cost up to $75,000, considerably more than the two or three thousand dollars a decent x86 server could cost. Of course, this does not imply that the mainframe is more costly and fails to meet your demands or to offer something incredibly extra. Remember, with a $75,000 mainframe, you’ll receive much more processing power than a commodity server. 

However, cloud computing is often more cost-efficient than investing in and maintaining expensive mainframes or servers.


Mainframes and servers are high-functioning computer systems with various pros and cons. Organizations with critical applications may benefit from the high reliability and security of mainframes. In contrast, those with less critical applications may find servers a more affordable option. However, the choice between a mainframe and a server will depend on the specific needs of the organization and the applications it needs to run.


How is VR Used in Marketing?

Marketing strategies exist in many kinds and sizes, but they all have one thing in common: the desire to attract the attention of potential customers and give them something new. In this case, technology is essential since it aids in content creation and facilitates the distribution of that material. VR is the ideal medium for this endeavour.

Although how is VR used in marketing has been a hot topic, it has been mostly linked with gaming and entertainment. For many years, it has been used in many businesses.

Companies are predicted to account for two-thirds of VR users by 2023, and marketing will likely be a popular emphasis. There are several methods to include virtual reality (VR) into your marketing plan.

What Really is Virtual Reality Branding?


Virtual and augmented reality marketing uses both virtual and augmented reality to advertise companies and products. For you to experience, technology creates a world that is both imaginary and real. VR marketing may be primarily visual or blend visual, audio, and touch, depending on the device. Unlike virtual reality headsets, Instagram filters overlay images on top of the camera’s field of vision, allowing users to manipulate what they see.

Virtual reality development services are the most common kind of VR marketing. It’s more practical and cost-effective than designing a headset experience for many companies. Businesses are using cutting-edge technology in their advertising efforts. Customers may use the app to experiment with different makeup looks and products.

Real-World Examples of Virtual Reality in Marketing

To get people to purchase from you, you need to make an impression using this powerful instrument. Virtual reality allows clients to experience the benefits of a product or service in a more personal and relatable way.

Examples of creative VR marketing tactics are provided below, showing how some professional marketing experts have utilized VR to improve and adapt their marketing efforts.

There is a wide range of unique methods in which these companies have used virtual reality’s marketing potential.

Keeping the New York Times As A Customer

The New York Times wanted to show its most devoted customers that they mattered, so it offered them the opportunity to see a virtual reality film on their VR headsets. The film “Seeking Pluto’s Frigid Heart” is for individuals who want to understand more about Pluto. Afterwards, a video on the hardships faced by working children throughout the world called, The Displaced, was presented.

As a result, the film won the Lions Entertainment Film Festival’s Grand Prix. To be eligible for future prizes, customers were encouraged to stick with the brand for a more extended period.

Developing the Emotional Bond with Toms

Toms Shoes donated another pair for each pair of shoes purchased at a brick-and-mortar store. Customers may give a pair of shoes to a less fortunate area of the world through a virtual trip. Because of the whole emotional experience, the customers were more pleased. They felt good about themselves since they were helping someone in need while also doing something good.

As a result, more individuals wanted to buy the company’s shoes since they knew they were doing good and receiving something in exchange for purchasing those shoes.

IKEA – you may Try Before you Buy

Virtual and augmented reality services and marketers use this technology, and IKEA has been a pioneer in the industry by helping customers make and keep to their choices. The VR Kitchen, the company’s first product, allows users to build a virtual kitchen and view it from various angles for better interaction.

This remodelling option gives customers the confidence to make all the adjustments they want. This way, customers could make more informed decisions because they could pay for the service more quickly. For their freshly refurbished kitchens, they even started exploring more things to purchase.

Revenue from Carnival Cruises and Cruise Ships Increase

Carnival Cruise had used VR during marketing trips to the Caribbean when it came to increasing its bottom line. Promotional materials such as this helped increase sign-ups for the trip and provide visitors with some insight into the culture of their destination. When prospective customers saw instances of how much fun they might have on the cruise, they were convinced to take it. The virtual reality cruise was a huge success for the company.

Expanded Interaction on HBO

The writers of Game of Thrones wanted to create an exciting experience for their ardent fans that would take them to some of the most iconic locales from the show. Visitors to Castle Black, north of Westeros, were escorted to the top of the Wall using an elevator. In the entertainment sector, it’s a perfect illustration of the potential for virtual reality to be completely immersive.

Using the ice-cold air to create authenticity, the virtual elevator mimicked the action of an antique elevator. Fans of the show were immediately aware of a new degree of intensity.

Developing Nicely in Merrell’s

An innovative hiking shoe manufacturer used virtual reality to illustrate the potential of their latest and greatest product to potential buyers. Participants in the 4D trip had to put the hiking shoe to the test on a range of terrains as part of the tour. A range of real-world issues and situations were also incorporated into the training.

As a niche market, Merrell’s experts were apprehensive about implementing elements that may make its customers feel more attached to the brand. People definitely felt more connected to a brand as they were experiencing a product in a real-world setting.

Gathering Customer Information at Lowe’s

Lowe’s hopes to entice customers to buy new products by allowing them to experience them in virtual reality firsthand. Consequently, customers may see a rendering of their house when the work is finished. Lowe’s determined its most popular products by using customer input.

Whichever new marketing strategy they came up with, the data they gathered was priceless.

Captivating the Public’s Eye with Oreo

Oreo’s virtual tour lured customers despite the severe competition and crowded market, even if the product had little chance of sticking out. Customers may buy and eat in a land whole with Oreo’s newest products through an Oreo gateway.

A virtual reality development services campaign was more effective than a traditional ad campaign in attracting new customers. It’s engaging and intriguing, and it successfully captures the attention of those who see it. This led to a more prominent virtual reality (VR) usage in the food business.


You won’t be sorry if you decide to use virtual reality to improve your marketing plan. To be successful, you must know how VR is used in marketing and its methods? This may be a bit of a challenge.

EES has a team of experts that can help you get the most out of virtual reality applications in your marketing strategy. Choosing the proper course of action is as simple as getting in touch with us now.

How is Virtual Reality different from Augmented Reality?

Marketing, gaming, brand promotion, and entertainment are all areas where these technologies might be used. Individuals may be completely submerged in a virtual world via so-called virtual reality (VR) technology.

With Augmented Reality, the first step is usually to project or insert images onto the screen instead of starting with an accurate view of objects, such as through a cell phone camera. It’s easy to see why this is so appealing. It has developed innovative techniques to make its customers’ experiences even more dynamic and individualized to make them more fascinating.

Moreover, it’s also essential to illustrate how a product works if you’re in marketing. The jargon, on the other hand, might lead to misinterpretations.

How is Virtual Reality different from Augmented Reality?

Some examples of each will be shared.

What is a Virtual Reality Context?

Virtual reality is a computer-generated simulation of another planet or reality. 3D technology is used in movies and video games. You may create realistic simulations using computers and other sensory devices, such as headphones and gloves, by using a computer.

Virtual reality development services are being used for more than just entertainment for the first time. VR, in its totality, is the entire kind of VR.

The Concept of Augmented Reality



Augmented Reality (AR) is the ideal blend of digital and actual components for creating an artificial world. Blending digital components into the real world with AR technology (AR)!

For example, there will be score overlays and pop-up 3D images, text, and emails when watching a sports event on television.

Virtual Reality’s Operations are Being Explored

For the most part, virtual reality is focused on re-creating one’s visual perceptions. The user must wear virtual reality (VR) headset with a screen in front of their eyes. Because of this, communication with the natural world is completely broken. A pair of lenses separate the user’s view from the display in virtual reality. As the user’s eyes move and position themselves, so must their eyes.

In some instances, an HDMI connection may display the screen’s visuals on a computer or smartphone. Incorporating goggles, speakers, and even wearable technology may help create an immersive experience. This immersive nature of virtual reality is since it may be experienced via visual, auditory, and tactile cues.

How Does Augmented Reality Work?

AR utilizes computer vision, mapping, and depth sensing to display the user-relevant material. Cameras are used to provide digital content relevant to the user’s present look and may leverage this feature. Real-time digital material is added to the user’s actual surroundings in Augmented reality.

You may enjoy virtual and augmented reality services using smartphones or dedicated gear.

Evaluating VR and AR

VR and AR are two diverse forms of immersive technology.

Simultaneous immersion into a virtual world The system’s performance improves because of the addition of context.
In virtual reality, the system oversees controlling the user’s visual perception. Real-world presence is guaranteed with augmented reality.
25% of the actual world and a whopping 75% of virtual reality (VR) AR comprises a virtual component of 25 percent and a fundamental component of 75 percent.
VR requires a connection of at least 50Mbps to immerse the spectator in action fully. This amount of bandwidth is required for AR to be entirely immersive for the user.
Wearing virtual reality goggles is mandatory. The use of an augmented reality headgear is entirely optional.
The user may fully immerse himself in a made-up world using virtual reality technology. Using virtual reality technology, the user may fully immerse himself in a made-up world.
It’s a technique used in video games to enhance the player’s sense of immersion. It’s beneficial in both the actual and virtual worlds.

Virtual Reality’s Positive Aspects

The following are some of the advantages of virtual reality:

  • Intuitive teaching.
  • It is necessary to establish a setting that encourages participation.
  • Make the most of your abilities at work.
  • Make it easy for others to utilize.
  • The ability to create a realistic world in which the user may go on quests is one of the critical advantages of VR.
  • Teaching and learning may be more accessible and more pleasurable via virtual reality technology in the classroom.

Augmented Reality Positive Aspects

The following are some of the advantages of AR:

  • Provides personalized education for each student.
  • Motivating students to pursue their education
  • Multiple fields of study to choose from
  • There is a need for new ideas and ongoing improvement.
  • Improvements in accuracy were made.
  • It is possible to improve the user’s understanding of a subject matter by using augmented reality.

VR’s Negative Characteristic

The following are some of virtual reality’s detriments:

  • Even if virtual reality (VR) becomes increasingly common, programmers will never be able to interact with it.
  • Virtual reality is a constant source of escapism, and many individuals choose to spend their time there instead of confronting their difficulties in the real world.
  • Real-world training and employment cannot be substituted by virtual training and jobs.
  • According to this theory, a person’s ability to do well in a virtual reality environment does not guarantee that they will be successful in the real world.

AR’s Negative Characteristic

The following are some of AR’s detriments:

  • The costs of AR technology implementation and development, as well as ongoing maintenance, are substantial.
  • There is a slew of downsides to AR.
  • Poor AR device performance is a potential problem that may arise during testing.
  • The use of augmented reality may lead to mental health issues.
  • The concept of augmented reality might be jeopardized if it is not adequately protected.
  • Several major health issues, including an increased risk of eye illness and obesity, have been connected to excessive usage of augmented reality (AR) technology.

What is the Correlation Between VR and AR?

VR and AR cannot be used in isolation. Users may be transported into a fictional world when real and virtual worlds are merged in a single system. It’s a process known as interactivity.


Virtual reality and augmented reality are mirror images of one another in terms of their ambitions. Virtual reality creates a digital image of the world around us, while augmented reality inserts virtual elements into the real world. This technology is expected to be used by both consumers and businesses shortly.

Data may be intuitively interacted with rather than requiring screen-based effort. For these tasks, portable devices may be utilized instead of stationary equipment. Consolidated data has the advantage of being targetable at any time and from any location.


How would the Technology Industry use Business Intelligence?

Business intelligence causes considerable transformation in the technology industry (TI) because tech-related businesses utilise BI to bring solutions based on massive databases.

How can Business Intelligence help the Technology Industry?

The benefits and uses of BI in the technology industry include the followings:

Data Accessibility

Business intelligence software allows for quick and accurate access to various data sources and reporting. This assists IT firms by making it faster for them to deal with data stored in databases across all sectors and departments.


This is among the most critical aspects sought by technology industry organizations, which business intelligence services fully address. It refers to a system’s ability to expand its work capacity (number of users, queries, etc.) instead of sacrificing speed. Regardless of the number of concurrent users, the platform will function properly.

The technology industry and BI can improve their mobile capabilities and local and remote access.


Data security is critical for all companies in the technology sector. One of the essential business intelligence applications is security systems, which allows firms to maintain tight control over their data and provide access privileges to individuals based on their needs and behaviors. This feature of business intelligence services also enables firms to defend themselves against cyberattacks from internal and external sources, independent of their origin.


Many technology industry organizations may already have information and resources saved in databases before they begin employing business intelligence. However, this would not be an issue because the technology industry and BI solutions are developed for various technological infrastructures and link into the systems these firms now work with.

What are the Applications of Business Intelligence in the Technology Industry?





Business intelligence solutions are likely to become the most valuable because of the massive amounts of data frequently handled in telecommunication contexts. Telecommunications companies must always look for methods to improve consumer happiness.

Internet access is one of the most in-demand services in this industry. The number of high-standard users has expanded tremendously due to recent developments in 4G and 5G, resulting in a higher volume of data to evaluate and use for decision-making.

Companies can use BI to keep data processing efficiency while also gaining crucial data from the acquired data.

Industry 4.0:

Companies in this area use BI tools to enhance their business processes. Studying various data to make effective selections in the corporate realm is vital. As a result, business intelligence is used in the industry 4.0 sector to improve manufacturing quality standards. This enables early diagnosis of potential problems. Defects in products, for example, can be found by examining factors including temperature, pressure, and use cycles.

They can also control tasks based on the study of performance measures such as time spent performing out activities, work, productivity, and so on, utilizing the data acquired using BI tools. This is how business intelligence is used in Industry 4.0. By utilizing one of today’s most promising technologies and increasing company competitiveness.


Business intelligence in the television industry has tracked users’ ratings of different shows, their time watching them, and their usage trends. This enables businesses to evaluate the material most appealing to their target audience. As a result, companies can utilize this information to give a customized list of suggested content to their audience, depending on their gathered data.

What are the Core Departments that can take Advantage of BI?

Data scientists and Analysts

Analysts are more acquainted with BI consulting services than other departments due to the nature of their work. They work with all of the company’s data. They demand more advanced and layered tools to provide a thorough roadmap or advice on improving firm performance.


Managers can analyze leading factors of marketing campaigns in one location with the support of digital BI solutions. Monitor a project in real-time, assess the impact of targeted initiatives, and plan future operations. In addition, the finished data can be viewed in a visual format.

As a result, you’ll be able to get a more precise interpretation of the data and share it with the rest of the team.


The manager in charge of the company’s financial growth can determine the aspects that impact profits and losses by integrating financial insights with operations, marketing, and sales statistics.


KPIs (Key Performance Indicators) and additional complicated information on discounts, demand patterns, and customer requests are frequently tracked in sales and operations managers’ reports, graphs, and maps. As a result, they examine the architecture of sales, the degree of client income, and the lifetime worth of clients (LTV). Companies can use this and related sales data to collaborate with sales reps and adjust sales funnels to match consumer needs.


Managers in product-related businesses frequently deal with sales networks and logistics. In such circumstances, automated information processing via Business Intelligence consulting saves time and money spent studying process optimization options.

For example, it checks whether all service contracts have been met and whether the appropriate delivery method has been picked.

Final Verdict

Business intelligence consulting has a significant impact on an organization’s efficiency, effectiveness, revenue, and productivity, among other things. Because it allows firms to integrate their security and data structure while also enhancing customer experience by concentrating on their demands, BI has the potential to change the technology industry.


How AI can Improve Cloud Computing?

The cloud is the natural environment for artificial intelligence. The AI cloud, a concept that combines artificial intelligence (AI) with cloud computing, is just now being used by businesses. There are two reasons for this: Cloud computing is no longer only a cost-effective solution for data storage and processing but a critical component in the adoption of AI.

Using AI to aid in the automation of routine IT infrastructure improves efficiency. The combination of cloud computing with artificial intelligence (AI) provides a massive network capable of storing enormous data while also learning and improving over time now; let us explain how AI can improve cloud computing.

How AI can Improve Cloud Computing?

The AI cloud’s ability to address problems is the most compelling advantage. In this way, artificial intelligence (AI) becomes more accessible to a broader range of people. Because AI-enabled transformation decreases adoption costs and makes it simpler to collaborate and generate new ideas, enterprises benefit from AI-enabled transformation.

Using AI to give strategic inputs for decision-making is made possible by the cloud’s agility, adaptability, and scale. The cloud substantially enhances AI’s reach and impact, first with the user organization and then moving to the larger market. AI and the cloud are mutually reinforcing, enabling AI to blossom on the cloud to its full potential.

AI Cloud Solutions

Companies may become more efficient, strategic, and insight-driven using cloud computing enabled by artificial intelligence. In order to boost productivity, artificial intelligence (AI) can do complex and repetitive tasks and analyze data without human intervention.

An AI system may analyze data sets of any size for patterns and trends. Because it contrasts old and new data, data-driven insight is valuable to IT workers. As a result, companies can answer customers’ queries and concerns more swiftly and effectively, thanks to AI technology. Artificial Intelligence (AI) may provide insights and suggestions that lead to improved results may be provided through Artificial Intelligence (AI). With Amazon Personalize, you can provide your customers with in-app recommendations that are updated in real-time. EES cloud computing consulting services can help you modernize your infrastructure.

Benefits of using AI Cloud Solutions


  • To design AI solutions, cloud computing makes it simpler. You may be able to receive better results for less money.
  • Google, Amazon Web Services (AWS), or Microsoft Azure may all be used to store your data in the cloud. We can develop solutions that minimize the danger of lock-in to protect your investment.
  • Develop an end-to-end Cloud solution or integrate AI, machine learning, or forecasting into an existing application.
  • Familiar with Google Cloud AI Platform, Sagemaker, AWS Azure Machine Learning, and Cloud Python and R data science deployments.
  • Knowledgeable
  • Maintenance training will be required when the project is completed.

Cloud AI Services Consulting

Companies are working hard to ensure that cloud computing services are consistently enhanced, although general and not tailored to specific requirements. Cognitive computing may teach a computer to provide certain services depending on the information it gets from its consumers. Finding the best algorithm or training model is no longer necessary.

Expertise from cloud computing consultants can help businesses take advantage of the most recent and finest cloud data centers, clouds, and data warehouses. Consultants aid in selecting and implementing best practices for your company’s use cases in the cloud. If your firm is contemplating migrating to the cloud or implementing new technologies, hiring the services of a cloud computing specialist might be a good decision.

Cloud consulting services are provided by several prominent firms, including Deloitte, Accenture, AWS, Capgemini, IBM, Cognizant, too many of the Fortune 100 global enterprises. These cloud consultants’ clients have very particular and comprehensive requirements from all across the globe. A cloud AI services consulting firm with an excellent reputation and considerable industry experience may be the ideal choice for medium- and small-sized businesses., for example, is a fantastic choice. We provide a wide range of cloud services for several platforms.

Final Verdict

It is becoming more critical for organizations to secure their data in the cloud as more and more cloud-based services are used. Using AI-powered tools, IT departments can monitor and analyze traffic on their networks. A flag may be raised when an AI-powered system notices anything out of the ordinary. This proactive approach assures the safety of confidential information. An example of this is Amazon GuardDuty, which uses AI and machine learning to detect potential risks.

AI cloud solution has made data processing, administration, and organization simpler. AI’s marketing, customer service, and supply chain data management may benefit substantially from more reliable real-time data describing how AI can improve cloud computing. Data can be consumed, updated, and managed more efficiently using artificial intelligence (AI) tools. Use Google Cloud Stream analytics for real-time personalization and anomaly detection to help IT organizations better plan maintenance scenarios.


How Artificial Intelligence will Transform Business?

Business intelligence consulting is the process of understanding your company’s AI and how it will transform your business. Artificial intelligence is an emerging field in which theoreticians, researchers, and programmers are working to create intelligent machines. The idea of artificial intelligence has been around for years, but only recently have computers become powerful enough to run the experiments and calculations necessary to make AI a reality.

However, even a basic definition of artificial intelligence can be challenging to pin down. The broadest definition would be any machine capable of doing something that, if done by a human being, would be considered “smart.”

Artificial intelligence is a concept as old as the term itself. The idea of a machine that could think and even learn to do so on its own has been with us since ancient times. But imagine how far we’ve come! Today, we’re able to create machines that can not only work alongside humans but also automate processes, streamline production, and boost efficiency. In fact, the entire manufacturing process wouldn’t be possible without artificial intelligence.

Use of Business Intelligence for Business Growth

If you haven’t heard, artificial intelligence will transform business in 2022. It’s already happening. But how? We’re here to tell you that it’s not through some high-tech robots or automated management systems!

The secret is in the numbers. Business Intelligence is all about figuring out what your numbers mean and how they can help you grow your business—and artificial intelligence is just a way of describing how sophisticated technology has become at crunching those numbers for you and helping you understand them better!

Our team at EES can help you get the most out of your business intelligence strategy. Whether you’re new to business intelligence or an old pro, we have the tools and expertise to take your data analysis and interpretation to the next level with advanced AI technologies.

Artificial intelligence (AI) is the kind of machine learning that enables computers to perform human-like tasks. It’s being used across nearly every industry to automate processes, mine and analyse data, and improve decision-making. In addition to improving existing functions, AI can be used to create new products and services.

Business leaders are exploring AI technologies because they can produce substantial savings in time and money by automating repetitive administrative tasks. And in a world where 1.7 megabytes of data are created every second, they need all the help they can get mining information for insights that drive profitable decisions.

While it’s important to note that AI can’t replace your business intelligence consulting and shouldn’t be used without human oversight, it certainly gives you an edge by providing a more thorough analysis of your organisation’s operations and performance.

Ways in which AI will Transform Business

Reduce Costs

Artificial intelligence does a fantastic job of cutting down on labour costs by automating processes that would otherwise require human attention. A great example of this is chatbots. They’re the brains behind customer service software these days.

Time Saver

They’re a huge time-saver for your company because they allow your customers to ask questions and be given answers without requiring anyone from your team to field those questions.

AI is Divided into Distinct Categories

Reactive Machines

These machines do not use previous experience or data to inform their actions but instead, make decisions based on what information is most immediately available. The IBM Deep Blue computer program that famously beat chess grandmaster Garry Kasparov is an example of a reactive machine.

Limited Memory

This category considers past experiences and data, but only for a limited period. Most self-driving cars are examples of machines with little memory, as they take in data from sensors and cameras as they travel along their route but don’t retain data from past trips to inform future ones.

Theory of Mind 


These machines can reason about others’ emotions and mental states and use this knowledge to create meaningful social interactions with humans or other machines. Problem-solving robots like Cog or Kismet fall into this category, as they can read human facial expressions and body language and react accordingly.

Final Verdict

If you’re looking for a way to get ahead of the curve in business, there’s no better option than AI. We’ll help you take your organisation to the next level by leveraging the power of this emerging technology. The main application of AI will be in decision-making tasks, especially when there’s too much data for humans to process effectively. Artificial intelligence is a broad term that describes a wide range of capabilities and technologies. Some aspects of what we call AI have been around for decades, while others are still in the development stages.


How Does Augmented Reality Work?

Augmented reality uses technology to enhance the physical world by incorporating visual, audio, and other sensory digital elements. Many businesses are hopping on the AR trend, including mobile computing and business applications for different industries. Augmented reality highlights physical features to derive insights that apply to real-world apps. This article will answer the question of how does augmented reality works. You will also understand its practical uses and benefits, including how AR differs from virtual reality.

How Does Augmented Reality Work?

Augmented reality is developing rapidly and revealing multiple applications across different industries. It uses camera-equipped devices (smartphones, tablets, or smart glasses) with computer vision technology to highlight and recognize objects.

AR Adds Digital Features to the Real World

AR downloads information about highlighted objects from cloud servers. It’s similar to how a web page gets downloaded using a URL. Only AR presents your data in 3D. It provides real-time data regarding your particular products, and it allows you to interact and control the system using a touchscreen, voice command, or gestures.

For example, You can use an AR headset to interact with a robot. It can show you superimposed data regarding the robot’s performance and give you access to the controls.

It can also help Personalize a Consumer’s Purchasing Process

Early adopters in retail services have incorporated AR technologies to help enhance shopping experiences for consumers. Using augmented reality to improve catalogue apps helps consumers visualize different products in different environments.

For instance, you can visualize how new furniture or decor may look in your house before actually buying it. AR allows you to point your camera at a specific fitting room, and it projects the product in the foreground.

What else?

The Benefits of Augmented Reality can Extend to Healthcare

Users can simply hover their AR device over target images and view detailed 3D models of various body sections. It can also be an effective learning tool by building 3D training models. Wearable devices could also present a significant breakthrough for AR, considering they go mainstream! Although smartphones and tablets may show tiny portions of your AR landscape, smart eyewear can provide a tangible link between the real and virtual worlds.

The Difference Between Virtual and Augmented Reality Services

AR uses “augmentation” to add live digital projections to your physical surroundings using a camera on a smart device. In contrast, VR provides an immersive experience by replacing your physical environment with a simulated node and virtual information. Augmented reality (AR) and virtual reality (VR) can enhance or replace your natural environment with a simulation.

Augmented reality allows a virtual environment to coexist with your actual environment. It provides augmented information about your physical environment without having you search for it. For example, you can use industrial AR apps to get data about failing equipment. This speeds up repairs and offers instant troubleshooting.

Virtual reality projects an environmental simulation to replace your world entirely. VR is a wholly fabricated environment usually designed to be larger than life. Consider how VR boxing video games could allow you to box Ali in a virtual boxing arena. Although virtual reality and augmented reality present a simulated environment, they are unique and have different applications.

How are Virtual and Augmented Reality Services Helping Businesses?


Augmented and virtual reality development services are essential components for businesses and enterprises. They are improving many business processes, and they have multiple training apps to guide you on how to use them effectively.

Some key examples of how AR and VR are essential to improving businesses include:

Maintenance and Repairs

Virtual and augmented reality services can lead technicians through maintenance and repair processes for various products, including industrial equipment and complete building projects. Technicians can operate equipment without referring to manuals or documentation from websites.

Design and Construction

Today, this is a widespread and results-filled application for AR and Virtual reality development services. Architects and designers use AR and VR services to project hypothetical structures in natural environments or make virtual adjustments to products before altering the physical item.

Education and Training

VR and AR technology helps businesses provide immersive experiences that are highly comprehensive and effective when training employees.


The retail industry now sees developments such as virtual makeup and virtual fitting rooms to give customers a modernized virtual or augmented experience as they browse through products.


AR and VR development services are also helping to improve healthcare. These two services allow health practitioners to use virtual overlays to guide them through critical operations. Or, trainees can operate freely in a risk-free virtual environment.

Common Challenges of AR Virtual Reality Development Services

AR is still in its early stages of development, with so many trials and a long development timeline before you can consider them proper mainstream technologies. Some common technology and business challenges of virtual and augmented reality services include:

Technology Challenges

  • Low Mobile Processing Power: For the most part, mobile devices have limited processing power. However, tethering users to high-performance servers isn’t practical. Mobile processing power needs to expand, or the work will get offloaded to the cloud.
  • Mobile Bandwidth is Limited: Cloud processing may provide a compelling solution to the issue of mobile processing. However, mobile phone bandwidth remains limited, making it challenging to deliver real-time video processing. Although, this will likely change as mobile bandwidth improves.
  • Developing Apps is Complex: Building apps with AR or VR support can be costly and complex. Development tools should be more user-friendly and accessible to programmers.

Business Challenges

  • Building a Business Model: Outside of video gaming, many AR applications remain in the early stages of development with unproven viability in the business world.
  • VR Hardware’s Inconvenience: Putting on a virtual reality headset and clearing a room detracts from the user experience. In the form of modified gaming controllers, VR input devices can also often be unintuitive, with a steep learning curve.
  • Security and Privacy Issues: The mainstream community remains sceptical regarding cameras and privacy implications: especially the security and possible storage of video feed.

Key Takeaways

  • Virtual reality replaces your real world with a digital environment. Augmented reality just enhances your world as it is.
  • Augmented reality enhances your physical world by overlaying sensory information such as visuals and audio to digitize your experience.
  • Businesses across different industries can use augmented reality for service and product promotion, improve customer interactions and collect important user data.

Augmented reality services have impressive potential as they mature.


Augmented Reality vs Virtual Reality vs Mixed Reality

What is Virtual Reality?


Virtual Reality uses digital tools such as display and audio to build simulated environments. Its places the user in a 3-dimensional virtual environment. It substitutes your screen with an interactive 3D world that simulates human senses. VR turns digital devices into multi-dimensional platform simulators.

However, developers may be facing the dilemma of computing power and content availability.

What is Augmented Reality?

Augmented Reality (AR) simply enhances your physical environment by projecting virtual visual elements, sound, or other sensory stimuli. It is a developing trend among business applications across various industries.

What is Mixed Reality?

Mixed Reality blends factors of both AR and VR to provide a simplified but unique experience. Unlike virtual and augmented reality services, which help you view virtual content using a filter or app, mixed Reality enables interplay with the digital content. You can use gestures to transport a piece of digital content around a digital whiteboard and notice virtual avatars of your colleagues sitting beside you.

Augmented Reality vs Virtual Reality vs Mixed Reality

The three fundamental classes of virtual reality development services include:

Non-Immersive Virtual Reality

This category usually gets left out of “VR,” sincerely because it’s not unusual. Non-immersive VR includes a computer-generated environment where you simultaneously remain aware and manage your physical surroundings. Video video games are a top example of non-immersive VR.

Semi-Immersive Virtual Reality

This type of VR presents partial-virtual surroundings. It’s familiar among academic and educational applications that use graphical computing and massive projectors, such as flight simulators for pilots.

Fully Immersive VR

This form of VR generates the most realistic simulation, from sight to sound to some sensations. Car racing video games serve as good examples of immersive VR, giving you the sensation of velocity and using skills. Development for more gaming and other uses in different sectors is ongoing.

Understanding Augmented Reality Solutions

  • Augmented reality use is snowballing across various sectors.
  • Early adopters in the retail sector have used AR to enrich the client shopping experience. Customers can visualize exclusive merchandise in particular environments by incorporating augmented Reality into catalog apps.
  • Customers point the digital camera to the fitting room for fixtures, and the product appears in the foreground.
  • Its uses are also spilling over to healthcare for more extensive functions. One way would be via apps that permit users to see surprisingly detailed, 3-D depictions of different frame structures when they hover their device over a target photograph.
  • Augmented Reality may be a powerful tool in helping medical experts collect information and gain knowledge throughout their training.
  • Wearable devices will surely take virtual and augmented reality services a step forward. Whereas smartphones and other displays show a tiny part of the consumer’s panorama, smart eyewear, for instance, may also provide a more significant link between physical and digital environments.

Some Business Use-case For AR and Virtual Reality Development Services Include:

  • Real Estate: Designers are given a brilliant opportunity to experience more than just three-D models for simulating the live interior of their buildings. Also, real estate agents can use AR and VR to show possible tenants detailed views of different properties.
  • Healthcare: It offers various healthcare benefits that cover health practitioners, academics or medical researchers, and patients. You can suppose the use of VR and AR to relax anxious patients or ease the mood of depressed individuals by distracting them from Reality. Medical students will be able to learn more efficiently, most importantly, about surgical training through real-life imaging.
  • Retail: Retailers will be able to offer real-time imagination to customers to position themselves in situations where they can “try on” garments or gadgets to get a realistic feel before purchasing.
  • Entertainment: Mesmerizing experiences will rework leisure. Gaming and Hollywood will allow customers and viewers to move from passive to energetic. Consumers will interact with services in a customized way (must they want to). Choosing your own POV in games will preserve to offer new sorts of engagement.
  • Data Visualization: Engineering and clinical data visualization have profited for years from VR. The new display era has revolutionalized weather models, molecular visualization, and other data visualization models.
  • Fashion: You can view Dior’s VR save on its French internet site. It offers shoppers a 3-D, 360-degree e-commerce experience. Users can genuinely browse the store’s offerings, zoom in on desired items and purchase them online.
  • Manufacturing: Designers and engineers can experiment with different models of products and test looks before commissioning high-priced prototypes. Brands including Jaguar and BMW use the generation for early layout and engineering reviews. Virtual Reality saves the car enterprise millions by decreasing the variety of prototypes built according to automobile lines.
  • Law Enforcement: VR goggles are revolutionizing digital training and can help improve law enforcement training. Incident schooling is possible, enabling adequate preparation of officials for everyday situations.

The Future of Business with These Technologies

Businesses can use these three technologies to build competitive advantages and improve customer interactions, considering both technologies are developed thoroughly and remain user-friendly.

You can imagine the massive potential in sales and retail. While the opportunities of MR are nonetheless under observance, the mixture of digital and real-world environments promises interesting matters for the future.

Mixed Reality is likely to be a treasured tool for on-the-task training, thanks to the mixture of practical education and virtual statistics. It may be the key to supporting interactive communications between teams and clients in the collaboration surroundings. These technologies will allow businesses to communicate effectively, work on shared thoughts, and build virtual prototypes in real-time.

How is Machine Learning used in E-Commerce?

E-commerce organizations can use machine learning to provide a more personalized client experience. Customers today not only want to engage with their favourite businesses on a personal level; instead, they have evolved to demand it. In fact, according to research, 73 per cent of customers are tired of being bombarded with useless content.

Retailers may use artificial intelligence and machine learning to tailor each connection with their customers, giving them a better experience. They can use machine learning consulting to prevent customer service problems in advance.

Cart turnover rates should decrease as a result, and sales should increase. Customer support bots, unlike humans, can deliver unbiased responses 24 hours a day, seven days a week.

How is Machine Learning used in E-commerce?


The recommendation engine is the most extensively utilized role of AI in e-commerce. A good product recommendation algorithm can significantly increase your income and average order value.

A recommendation method is a sophisticated data filtering tool that uses machine learning algorithms to suggest the most appropriate product to a buyer.

The algorithms use information such as the customer’s most recent purchase, purchasing history, preferred colors, typical budgets, etc.

Pricing Optimization

Using machine learning consulting, retailers can calibrate prices driven by supply and demand, minimum price, operational expenses, competitiveness, and other factors.

Manually completing all of this isn’t easy. AI automates massive volumes of data collecting, processing, and analysis to provide better real-time dynamic pricing. This also aids organizations in recognizing early trends and forecasting demand for products for which transaction data is not available.

Fraud Protection

Chargebacks are the biggest nightmare of any online retailer. Most shoppers, especially first-time customers, believe that e-stores are untrustworthy. E-commerce stores are vulnerable to fraudulent activity. E-commerce business owners must exercise extraordinary prudence. It is not uncommon for businesses, especially internet businesses, to shut their gates due to a bad image. As a result, companies must not cut corners when detecting and combating fraud.

Machine learning can substantially limit the scope of fraudulent behavior. It can quickly evaluate large amounts of time-consuming, recurring data and detect illegal transactions earlier on by proactively detecting any abnormalities.

Image Processing

Retailers engage in artificial intelligence (AI) and image recognition technologies to influence consumer (buyer) behavior and automate processes. Investing in information visualization with visual search capabilities could help you match images of consumers with similar clothing sold online, for example. This could be determined by a user’s request based on the type of things they typically purchase (color, brand) and data from media platforms.

Another e-commerce machine learning application is its help in automatically filling in the subject information based on the photo.

Retargeting, Upselling, and Discounts

Not every person who visits your website will make a purchase. Some may seek product information, while others may put something in their cart and then abandon it. Using dynamic retargeting, upselling, and discounts, machine learning consulting can assist get more individuals to finish their transactions.

Machine learning allows e-commerce stores to better retarget consumers by analyzing data to see what has worked in the past to acquire similar profiles via retargeting. ML analyses millions of profiles, analyzing their behavior and outcomes to anticipate what will most likely convert a consumer.

Trend Analysis

Before you put things available for auction on an e-site, you should research their popularity: is it a best-seller, a regular seller, or out of date?

Whether from an outsourcing provider or internal fulfillment, procurement is influenced by trend analysis. If statistics are not carefully monitored, returned items will play a significant role in procurement. As a result, analyzing a product’s trend is crucial, as it can help lower the catalog’s total size, product maintenance costs, and warehouse space utilization.

This is made simple with machine learning because it analyses and compares product evaluations, ratings, and media platform inputs. Low-rated products may be removed from the site’s inventory.

Better Inventory Management

Inventory management is one of the most persistent issues in e-commerce. Manual stock control can be time-consuming (particularly for e-commerce stores) and can hurt accurate sales forecasting, leading to financial flow issues. ML can significantly improve the accuracy of future demand predictions. It will make supply chain management more accessible, but it will also ensure that you better understand your clients and their behaviors.

Stock replenishment is required to avoid stockouts and guarantee that client requests are met promptly. Inventory replenishment can be automated using Artificial Intelligence algorithms based on previous and current sales information. This can be set up for “Pick up from store” and “Deliver to customer” scenarios.

Final Verdict

Machine learning is here to stay in e-commerce. It has various practical applications in eCommerce, as we’ve seen. How machine learning is used in e-commerce may interest you if you wish to improve your e-commerce operations.

Machine learning is being embraced by many e-commerce companies, which are reaping significant benefits from it. ML may be a substantial advantage for firms that automate time-consuming, labor-intensive, and costly manual procedures. It can provide internet retailers with helpful information on their customers. They can assist internet businesses in increasing clicks, converting prospects into customers, keeping them, and even developing strong customer relationships.



What is the Future of Business Intelligence?

In addition to traditional BI platforms such as Tableau and QlikView, these newcomers offer natural language querying, geo-location reporting, user-defined dashboards, and automated statistical analysis tools. While some of these features are already available on other platforms, there are more to come in the future.

As powerful as these developments are, they only scratch the surface of what’s possible with modern BI technologies—and they’ll be even more effective when used alongside other emerging innovations like cloud, serverless computing platforms, robotic process automation (RPA), and machine learning systems.

The critical factors in how BI will evolve and become involved in the market

Data Visualization will Continue to Change the way we use Information

For better or worse, the human brain is biased towards visual information. We are far more likely to remember what we see than what we read and hear. Therefore, data visualisation will continue to play a key role in business intelligence as a way of helping people understand data.

The future of data visualisation is exciting because there are so many different areas in which it can be applied beyond business intelligence and data science. The non-profit sector, for instance, has the potential to make great use of data visualisation in communicating its impact and raising awareness about important issues.

Whatever the future holds, you can bet that data visualisation will be an integral part!

The Volume of Data Continues to Grow Exponentially

As someone in charge of your business’s data, you probably feel that the amount of data being generated is doubling every month. While that’s not exactly true, it’s undoubtedly increasing exponentially, showing no sign of slowing down. The volume of data out there—the aggregated mass of all the ones and zeros we have at our fingertips today—is known as “big data.” It’s the big buzzword in business intelligence (BI) because big data is driving some of the most innovative BI solutions and business intelligence consulting services.

Big companies like Microsoft and IBM are investing heavily in this area.

Business Users are Demanding New Capabilities

These days, you find data everywhere. Once the exclusive purview of C-level executives and a few trusted analysts, business-critical information is now available to everyone in the enterprise. A big thanks to the transformation of BI technology over the last several years, as new platforms make it easier for users at every level of an organisation to do their data exploration and analysis.

With this unprecedented access has come a demand for more self-service BI capabilities from users across all departments. To meet these demands, vendors develop technologies like augmented analytics and natural language processing that automate previously time-consuming processes.

We also see more advancements in areas like data visualisation, dashboarding, and reporting capabilities that allow non-technical users with little previous experience to gain insight faster than ever before.

Businesses will Face Increasing Complexity

Businesses will face increasing complexity in terms of data sources, types, and platforms. The number of data sources — including social media activity relevant to a company, web clicks, and captured mobile interactions — will continue to grow exponentially. In addition, a variety of data types, including real-time data streams that enterprises currently don’t consider but may want to track in the future, will increase in importance.

To make matters even more complicated for businesses trying to act on all this information quickly, companies often use a mixture of on-premises and cloud platforms as part of their IT infrastructure. And many organizations are still using legacy on-premises applications with planned upgrades that might or might not ever happen. Others rely heavily on cloud providers for their analytics needs but are concerned about the security and regulatory compliance risks.

Increasing Focus on Real-Time Analytics

It’s hard to define, but we like to think of it as the ability to access and analyse data that enables decision making based on real-time circumstances rather than merely historical ones. Think of it as a modern-day version of what companies did in the past using big data: shifting through massive amounts of information to make conclusions about trends.

Cloud Computing and BI

Cloud computing will become more of a focus for business intelligence solutions!

Cloud computing, the trendiest buzzword of the current decade, is now a reality. We are no longer limited to technical knowledge of how the cloud works.

When users access applications and services hosted on a server over the Internet, they access those services using a cloud service provider’s infrastructure, which performs tasks such as data storage and data processing. Businesses use password-protected VPNs to access resources from their off-site offices or home computers.

If you have an existing company with IT that has not yet embraced cloud computing, it’s time for your business to take advantage of cloud technology for all your technology needs.

Businesses can use Cloud Computing in Any Number of Different Ways


  • Hosting internal Web applications (e.g., Intranet sites) for easy access and remote collaboration across physical locations
  • Configuring business solutions (e.g., ERP software or CRM solutions) to run on-premises without human intervention or IT help
  • Deploying multiple software applications simultaneously on individual computers at worksites but with centralised resources like database servers potentially located at another location

Inexpensive Mobile Hardware and Business Intelligence Space

Inexpensive mobile hardware is driving increased interest in mobility within the business intelligence space. The ubiquity of mobile devices has made mobility a hot topic for many businesses.

Today, it’s possible to carry out various work-related tasks using your phone or tablet. The cost of purchasing mobile hardware will only continue to decline over the next three to five years. Companies looking to save money on IT costs are likely to invest more in mobility solutions.

Business intelligence is no exception, as new reporting and analytics tools are developed specifically for mobile devices every day.

Business Intelligence is Undergoing Unprecedented Change

On the one hand, we’re facing a period of tremendous change in the industry. Businesses face new challenges and find new ways to keep up with their competition, which means it’s time for something fresh and different. On the other hand, we’re also living in a time when there is more information about almost any topic than anyone can absorb, let alone use to make good decisions.

Final Verdict

There is no shortage of data out there; we just need to know how to interpret it and apply it effectively, which is what business intelligence technology was designed for in the first place.


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