Author: saravana

Since time immemorial, humans have used language and speech as a medium of communication of thoughts. As computers evolved, they had their own programming languages and codes. Software became advanced over time and coupled with hardware advancements, the potential for computer applications became endless.

The next step in this evolution is the case of Natural Language Processing or NLP for short. It is a field of artificial intelligence (AI), whose aim is to help computers understand and interpret human languages. The understanding and interpretation by computers must be in a way that is useful, and it is possible by advanced models, algorithms and other related developments.

The main applications of NLP include areas like

1. Machine-based translation
2. Summarization of information
3. Generation of text and language in a coherent manner based on various data sources. For example, writing about the performance of a company based on a summary of the balance sheet and other related financial data.
4. Chatbots and conversational agents

And many more such applications.

As the best software development company in USA and a leading cyber security company in UK, GRhombus Technologies analyses the recent trends in NLP in the below blog.

1. Ethics

As AI gains traction, one of the key areas to address is how NLP models can be trained to avoid bias and remain ethical. There is also an inherent fear of systems acting recklessly to take decisions. This is especially true in the case of customer-facing applications like chat bots.

2. Privacy concerns

Along with ethics, privacy concerns associated with NLP also need to be addressed. This is still a grey area and there are discussions at multiple levels on how various aspects need to be handled.

3. Quick-learning models

Humans have the inherent ability to learn new things even when the data around the project is limited. The aim is to extend this to NLP with few shot and zero shot learning. This also applies to cases where the data set is limited like in low resource languages.

4. Transparency and accountability

As NLP finds a larger scope of applications, it is important for end users to understand how decisions are made. Insights need to be provided on how the model behaves and what its limitations are.

5. Transfer Learning

There are many cases where learning in one task can be applied to a related task. More research is being undertaken in this area to quicken the evolution of NLP.

6. Multilingual capabilities

Language limitations themselves become a barrier sometimes. For example, a person may understand and speak Chinese, but not Spanish. The context also varies between different languages. So, the aim with multilingual capabilities is to bridge the divide and provide better communication and understanding across different languages.

Overall, the focus is on improving the ethical aspects around NLP as well as expanding the application across different verticals.

About GRhombus Technologies

As a leading software development company in USA and a reputed Salesforce CRM customisation company, we understand the tenets of a business and tailor the solution to a required business need. We are also well-versed in the Force.com development platform and can undertake key customisation and advanced automation functions based on the business needs.

We are also one of the leading custom app development company in UK and we offer a one stop solution for developing Web, Mobile and Cloud based applications with a responsive design that suits specific business needs. Are you interested in engaging with us and growing your business to the next level? Contact us to fly on wings of change.

It is no doubt that artificial intelligence (AI) and machine learning (ML) have revolutionized different aspects of various industries and business verticals. They have helped create new business models, add efficiency into the system and even understand customer perceptions and interactions better.

One area where AI, ML and Robotic Process Automation (ROPA) can find good applications is in the field of software testing. Oftentimes, one or more such tools can be combined to achieve stellar results. This is where the concept of hyperautomation testing comes in.

In layman terms, hyperautomation testing refers to the use of advanced technologies, such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), to automate and streamline the testing process. The key feature of hyperautomation testing is how it is able to analyze large volumes of data by leveraging various AI and ML algorithms to identify patterns, make intelligent decisions and improve the testing process. It can also be used to validate system behavior, automate the generation of test data, reduce manual effort and perform continuous testing.

As the best software development company in the USA and a leading software development company in UK, GRhombus Technologies has done key work in this area. In our experience, some of the key advantages of hyperautomation testing are:

1. Reduced time to market

Using hyperautomation testing, many manual and repetitive tasks can be automated and this will help in faster time to market of the product. Automated tests can run 24/7 and catch issues early and human resources can focus on other important areas.

2. Increased quality

With automation, the depth of testing and the breadth of testing can be increased. This includes areas like more use cases, browsers, devises etc, which may not be possible in a manual testing setup. This will ensure that quality is built into the testing process.

3. Consistency

Since there is no fatigue involved like the case of manual testing, hyperautomation eliminates human errors and inconsistencies. Since the breadth and depth of testing is more, it also means that errors can be caught early. The feedback loop is faster and more robust.

4. Ability to scale

With an automated test setup, it is easy to scale without any corresponding loss in quality. The same may not be possible in a purely manual setup.

While we discuss the advantages, it is also important to have a balanced perspective of things. Some of the key disadvantages of hyperautomatino testing are listed below.

5. Investment in time, infrastructure and capital for setup

From the perspective of hyperautomation testing, developing automated test scripts and building out the necessary infrastructure requires significant initial investment in tools and knowhow. Hence, it is necessary to weigh the pros and cons before making a final decision to go in for a hyperautomation setup in the organization.

6. Maintenance

As with all tools, even a hyperautomation testing setup needs maintenance. They have to be updated as the test cases, applications and envionments evolve. Further, when defining automated test scripts, they should be free from bugs. Else, they can lead to false positives/negatives in results. Further, a certain amount of foresight is required as automated tests must me capable of meeting future needs and should not be brittle.

7. Skill

Writing automated test scripts requires skill and deep coding expertise. Further, the modules must be clearly defined and designed and when error messages are thrown, it should be easy to identify the root cause.

Why GRhombus Technologies?

GRhombus Technologies is a leader in offering cyber security solutions and software testing solutions. We are a trusted information security partner for leading companies in Europe and USA.

Apart from cybersecurity and software testing, we are also a leading software development company in UK. Established in 2014, GRhombus Technologies has delivery centres in India at Hyderabad, Chennai and Bengaluru, and partner offices located in the USA and the Netherlands.

For additional details, please contact us.

Machine learning refers to the concept wherein computers learn to make predictions and decisions without being programmed for the same. Thus, they recognize patterns, sift through data to look for connections and then come to a conclusion. Machine learning is a part of the broad concept of artificial intelligence.

There are different types of strategies for helping machines learn. They include supervised learning where there are defined datasets, unsupervised learning without defined datasets and reinforcement learning based on rewards and penalties. The overall aim is to improve the performance over time and achieve a high level of perfection. Each strategy has different applications, advantages and disadvantages and needs to be carefully chosen based on the project need.

The applications of machine learning include the following areas.

Machine learning has a wide range of applications across various fields. Some of the key areas where machine learning is applied include:

1. Automatic recognition of speech or images

Machine learning algorithms are used to develop systems that can recognize and interpret images, videos, and speech. This has applications in fields such as computer vision, autonomous vehicles, and voice assistants. BY understanding human speech through NLP (natural language processing) techniques, one can achieve applications in chatbots, translation services etc.

2. Logistics

Machine learning is applied in transportation and logistics for tasks such as route optimization, fleet management, and predictive maintenance of vehicles. It helps reduce costs, improve delivery times, and enhance overall logistics operations. Further, additional touchpoints like advance planning based on weather updates etc can be achieved and applied in real time.

3. Fraud and outlier detection

By use of machine learning and datasets, one can look for patterns in cyber-crimes, tax evasion, credit card spending patterns, claims related to insurance etc. In the financial services and stock broking industry also, machine learning algorithms find extensive use. In fact, the enforcement wings of many government agencies use machine learning and artificial intelligence in a very proactive manner to achieve positive outcomes in the above areas.

4. Recommendations in platforms

Many recommendation systems used in areas like streaming services, e-commerce platforms etc are based on machine learning based on the study of human behaviour. Targeted ad campaigns by social media companies are an outcome of machine learning. User behaviour is studied in detail and recommendations are made based on the same.

5. Autonomous Systems

Machine learning plays a crucial role in developing autonomous systems such as self-driving cars, drones, and robots. It enables these systems to perceive and interact with their environment, making decisions based on real-time data. Additionally, machine learning can analyze sensor data and come up with proactive alerts and suggestions for system maintenance, overhaul etc and thus prevent breakdown of autonomous systems or their functions.

6. Environment and monitoring

Machine learning can continuously analyse large amounts of data from sensors, satellites, and weather stations to monitor and predict environmental conditions. It has applications in climate modelling, air quality monitoring, and natural disaster prediction.

Apart from the above areas, machine learning also finds extensive use in agriculture like predicting the best mix of crops and patterns, healthcare like discovery of new drugs etc. The machine learning revolution is only in the early stages and the applications are not only vast but have a huge potential to transform the way we lead life itself!

Why GRhombus Technologies?

GRhombus Technologies is a leading custom software development in the UK and among the reputed cyber security companies in the USA. Driven by passion, we have key partnerships with companies across the globe in different areas and thus have the capability to offer all-around solutions to customers.

Our team of experts serve clients across Europe, UK, USA, Middle East, and we cherish our long-term relationships with them built on values, engaging solutions and trust. GRhombus Technologies Private Limited is a subsidiary of GRhombus Consulting and has offices in Europe, with delivery centres in India. Have some security needs or questions? Contact us now!

Blockchain as a concept has caught the fancy of tech enthusiasts and digital nomads alike. Many venture firms are also investing in companies around this technology, and it has also fueled the cryptocurrency boom. So, what is the concept of blockchain in the first place that is currently a very hot topic?

Blockchain is a decentralized and distributed digital ledger technology that allows multiple parties to maintain a shared record of transactions or information. The information is maintained in a secure and transparent manner and each block contains a list of transactions.

The decentralization is achieved by using a network of computers called nodes. They work together to validate and record transactions. This ensures that no single person or system has control over the entire network.

A chain is created by use of identifiers, and they are linked to each other. The concept of a hash is used in this case. The hash is generated based on the data inside the block and also includes the hash of the previous block. All nodes must agree in order to add a new block to the chain. Thus, security is in-built into the system and manipulations are not possible. Smart contracts can be introduced and any intermediaries can be eliminated.

As the best software development company in USA and a leading cybersecurity company in UAE, some of the key industries where we see the application of blockchain technology apart from crypto currency are:

1. Logistics and supply chain

Tracking and movement of goods can be easily and cost-effectively achieved.  There is excellent traceability and in the case of sensitive cargo, counterfeiting possibility is eliminated.

2. Finance

Blockchain security is top notch and by eliminating intermediaries, faster transactions are achieved. By use of smart contracts and decentralized approaches, the sphere of application is largely increased. The record of transactions is also secure and cannot be manipulated.

3. Healthcare

Patient data is stored and secured yet remains accessible to the right parties. Blockchain technology can also streamline medical record management, clinical trials, and drug supply chain management.

4. IP rights

Blockchain can be used to establish proof of ownership and protect intellectual property rights. It can enable artists, musicians, and content creators to securely distribute and monetize their work and prevent theft. Use of blockchain in IP also helps to prove the case in case of infringement as the underlying technology is robust.

5. Insurance

Blockchain can streamline insurance processes by automating claims processing, reducing fraud, and improving transparency in policy management.

6. Internet of Things (IoT)

Blockchain can provide a secure and decentralized infrastructure for IoT devices, enabling secure data exchange, identity verification, and automated transactions.

The above are just a few examples and this field is continuously evolving on an almost daily basis! Hence, as more and more research goes into this domain and more industries explore its capabilities, the scope of application is sure to increase.

About GRhombus Technologies

GRhombus Technologies is among the leading EdTech companies in UK and cyber security companies in UK. Our insightful work and key implementation expertise have delivered powerful transformations to clients and created enduring value. We also offer test automation services in India and custom software development in UK. We are also well-versed in the Force.com development platform and can undertake key customization and advanced automation functions based on the business needs.

For more details, contact us.

Artificial Intelligence (AI) is the process where computer systems can perform tasks that typically humans perform including research, decision making etc. The computer systems can also be trained to solve problems and all of the above occurs by training the computer systems in studying data and patterns in the same.

AI is a broad umbrella and under it, there are different categories like robotics and related applications, machine learning, natural language processing etc. As a leading software testing company in UK and software development company in USA, GRhombustech brings rich expertise to the field. Based on our experience and observations, some of the ways AI can help achieve better results in software testing are

1. Automation of processes

Test cases can be automated by self-learning machine algorithms. Further, with more machine learning, test scenarios themselves can be identified and the system can also come up with proactive suggestions. Certain repetitive and time consuming test tasks can be readily automated and such tests can provide a wealth of information on software and code stability.

2. Focus Areas

With the analysis of historical data by AI systems, critical focus areas can be easily identified. This will help to proactively fill the gaps and undertake better testing. Thus, the weakest link in the chain will be identified easily and covered, thereby ensuring a stable release. Test cases can also be grouped based on impact and relevance. Thus, the number of test cases can be optimized without any compromise on the integrity of the testing process.

3. Analysis of test logs and associated data

AI can analyze the test logs to identify patterns and anomalies that may not be noticed during a manual analysis. This is especially true in the case of complex software products where the links may not be directly evident. This helps in identifying and resolving issues more quickly.

4. Security perspective

AI can also make specific analysis of code and test software from a security and vulnerability perspective. As the best cybersecurity company in UAE, GRhombus has a variety of tools and techniques in the domain of cyber security.

5. Simulations

AI can simulate user behavior to test the software under different scenarios. By using techniques like reinforcement learning, this will help identify trends and bring a more real-world use case to the testing perspective in the test bench itself!

6. Quality

AI can integrate in a CI/CD (Continuous integration/Continuous Delivery) pipeline. This allows software testing throughout the process and thus ensures quality throughout the process. Defects reaching the live/production scenario are thus minimized.

The main advantages of using AI for testing are:

1. Less errors due to human fatigue
2. Scalable solution
3. Ability to handle different complexity levels of testing simultaneously
4. Enlarged scope and coverage of testing
5. Faster testing and result delivery without compromise on the integrity of testing
6. Precise testing in identified areas
7. Predictive analytics can be incorporated

About GRhombustech

GRhombustech is a leading software development company in UK. Apart from software development, we are also among the leading cyber security companies in UAE. GRhombus has established itself as a pioneer in Data Visualization, Edtech, IoT Testing, Salesforce Development and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus family now has over 200 employees. Established in 2014, GRhombustech has delivery centres in India at Hyderabad, Chennai and Bengaluru, and partner offices located in the USA and the Netherlands.

For additional details, please contact us.

Often, applications require coding expertise for development. Now is it possible to create applications without any knowledge of coding? Yes. It is possible and that is where the concept of low-code or no-code automation comes in.

When an application can be developed just by drag and drop options and through GUI (graphical user interfaces) and configurations, then it is no-code automation. Thus, businesses or even lay users can create applications without any (or even if necessary, very minimal) coding knowledge.

As a leading software development company in USA and a leading cybersecurity firm in UK, we bring robust solutions. The below is our analysis on the concept of low-code/no-code automation.

Advantages of No-Code Automation

1. Plug and play and speed of development

Since there is only drag and drop options and a user interface, low-code/no-code platforms significantly reduce the time it takes to develop and deploy applications. Use of pre-defined templates also reduces the need for any coding.

2. Cost Savings

Since less-technical expertise is required, there is no need to hire developers or software professionals. If the low-code application completely satisfies the business requirements, then faster time to market is achieved. This also gives profits and cost savings.

Further, with no-code applications, scalability is also easy. This means that when the initial pilot project works successfully, it can be enhanced easily to other areas.

3. Larger user base

By ensuring that no coding is involved, non-technical users can develop solutions. This leads to a larger user base and enhanced footprint of technological and software applications. This can drive digitization, and digital adoption in new sectors.

While there are the above advantages, the disadvantages are

Disadvantages of Low-Code/No-Code Automation:

1. Limited possibilities

When a ready-made solution is used, the customization possibilities are limited. Thus, any specific business challenge will require either a custom-built application or a work-around. Often, work-arounds do not fully satisfy the requirements and only cause frustration for users.

2. Dependency and security

When low-code solutions are used, there is dependency on a single vendor or a company. Such kind of dependency can be unhealthy for business continuity as the organization scales up. Further, data security, application security and other parameters may be difficult to ensure. This can make organizations vulnerable to attacks.

3. Performance Issues and hidden costs

Applications built with low-code/no-code platforms may not perform as well as those built with traditional coding, particularly for complex or large-scale applications. Further, hidden costs like license fees or anything else can also apply.

Some of the ways in which no-code or low-code applications work are:

1. Visual Workflows

By simple drag and drop, an entire workflow can be defined. An example is data entry. In this case, the entire application can be opened and the data that is obtained from a source entered automatically.

2. Integration platforms

These provide pre-built integrations or connectors to various apps and services. An example of this is automatically adding new email subscribers to a CRM.

3. RPA (robotic process automation)

This uses “software robots” to mimic human actions like mouse clicks, keyboard inputs, etc. Useful for automating repetitive computer-based tasks.

About GRhombus Technologies

GRhombus Technologies is a leading software development company in UAE and the best software development company in UK. The company has made a mark in various spheres like end-to-end Software Development, DevOps, Manual Testing, Automation Testing, and Security Testing. We are also a recognized leader in the domain of cybersecurity solutions. GRhombus Technologies is dedicated to world-class customer service, innovations and cutting-edge solutions. For more details, contact us.

In the age of the Internet, everything has turned digital. So much so that we can create digital avatars of ourselves and have a personal metaverse! One significant advancement in this realm is the rise of chatbots and personal assistants. These AI-powered tools have revolutionized the way businesses operate and how individuals manage their daily lives. Today, be it a small task or a complex task, the first level to attack is usually at the chatbot and personal assistant range.

Chatbots and personal assistants provide interactive and personalized service. Yet, there is a difference between them. Further, they have become integrated into our very lives as a part of the ever-evolving digital landscape.

What are chatbots?

Chatbots are AI-based software designed to interact with humans in their natural languages. These interactions typically occur through messaging applications like a chat window in a website or a mobile application. They find favour in a business situation where customer service needs to be involved or when there are numerous routine queries like say about the status of a flight or a train.

What are personal assistants?

Personal assistants (also known as virtual assistants) are AI-powered software tools that understands natural language voice commands and performs corresponding tasks for the user. The range an complexity of the tasks can vary from setting up a simple alarm to wake up, to more complex ones like planning an itinerary or undertaking booking for travel.

Evolution

The evolution of chatbots and personal assistants has been driven by advancements in AI and machine learning. Early versions of chatbots were rule-based and could only provide pre-determined responses to specific inputs. However, with the advent of machine learning and natural language processing (NLP), chatbots have become more sophisticated, capable of understanding complex queries and providing relevant responses.

Similarly, personal assistants have evolved from simple voice-command programs to sophisticated AI-powered tools. They can now understand context, learn from past interactions, and even recognize different users’ voices. This evolution has made them more personalized and efficient, enhancing user experience significantly.

As a leading software development company in USA, some of the advantages of chatbots and personal assistance, we can think of are:

1. No fatigue
2. 24 × 7 × 365 availability
3. Instant response
4. Can handle high volumes of queries and operations simultaneously
5. Cheaper to implement than have human beings engaged in customer service or other operations
6. Customized and personalized responses can be provided
7. Even old people or people with disabilities can access the service and thus accessibility is improved.

Some of the disadvantages of chatbots and personal assistants that we can think of as the best cybersecurity company in USA are:

1. Limited capabilities when it comes to managing complex workflows or tasks.
2. Lack of EQ and empathy
3. Inherent bias because training models are not perfect
4. Risks associated with control, data access, privacy and security
5. Loss of human jobs in certain sectors

Overall, we can clearly see that chatbots and personal assistants are transforming digital experiences with their convenience, efficiency and personalization. However, users should be cognizant of the limitations and risks. The role of chatbots, personal assistants and AI in general, going forward, is sure to evolve as technology advances further. There is a lot of discussion at the world level and many governments are initiating policies to control AI and its application. These should give better guardrails in all fronts on how AI technology will be handled.

Why GRhombus Technologies?

GRhombus Technologies is a leader in offering Edtech solutions and is among the leading software development companies in UK. We take pride in delivering custom and best-fit solutions. Perceptive and collaborative, we offer an exceptional experience at every engagement touchpoint.

Apart from Edtech, we are also among the leading cyber security companies in UK and a software development company in USA. Established in 2014, GRhombus Technologies has delivery centres in India at Hyderabad, Chennai and Bengaluru along with partner offices located in the USA and the Netherlands.

For additional details, please contact us.

IoT stands for Internet of Things. It refers to the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors etc with the ability to connect and exchange data. By extending the connectivity by the Internet to non-traditional devises like lights, machinery etc, greater integration and automation can be achieved.

In the context of IoT automation, it is basically the idea of systems being able to take a decision on their own without human intervention. The main advantages of this are that there is greater efficiency achieved, especially in the case of repetitive tasks, convenience, enhanced lifestyles and user experience.

Some of the common IoT automation techniques are:

Machine Learning and AI Integration

IoT devices can be integrated with machine learning algorithms and AI to automate complex tasks. For example, a smart security system could use machine learning to recognize the faces of family members and automatically unlock the door for them. While home automation is a basic application, it can be enhanced to an industrial scale.

Collection of data from sensors and their analysis

Sensors are the virtual sense organs of a system and help to continuously understand the environment. Based on the data gathered and the patterns identified by an intelligent system, it is possible to trigger actions and outcomes. So if there are rules and thresholds defined and set, then a system can work seamlessly. An example is intelligent lighting and heating systems.

Predictive Maintenance of Machinery and Systems

By integrating IoT, better predictive maintenance management can be achieved. This is especially true in the case of large and complex systems like refineries where multiple machines, systems and processes are involved, and a breakdown can be very expensive. Further, by undertaking maintenance based on the actual condition rather than a schedule chart, maintenance costs also can be optimized.

Setting up of Digital Twins

This involves creating a digital replica of a physical system, allowing for simulations and analyses that can inform automation strategies. For example, a digital twin of a factory might be used to test different automation scenarios before they’re implemented in the real world.

Robotic Process Automation (RPA)

RPA can be used in conjunction with IoT to automate repetitive tasks. For example, data collected by IoT devices could be automatically entered into a database or spreadsheet, as the requirement may be. This data can then be analysed for other activities.

Automation and Control in Manufacturing

IoT devices can be used to automate control systems in industries like manufacturing. Based on the real-time demand, the production line and the processes thereon can be controlled. The production process itself can be monitored and process parameters adjusted continuously to achieve best possible output.

Blockchain for IoT

Blockchain can provide a secure framework for IoT devices to communicate and transact with each other. This can be used to automate processes like supply chain tracking or energy grid management. Automation of reordering, remote monitoring of assets, tracking of orders etc can be completely achieved in a secure manner.

Why GRhombus Technologies?

GRhombus Technologies is a leader in offering API automation testing services and cybersecurity solution in USA. As a leading software development company in USA, we bring passion and purpose to our every activity. We are also a leading EdTech company in USA and a leading software development company in UK.

Our team of experts serve clients across Europe, UK, USA, Middle East. Committed to nourishing long-term relationships with them, we are dedicated to ensuring an uninterrupted flow of delivery all the time. GRhombus Technologies Private Limited is a subsidiary of GRhombus Consulting.

For additional details, please contact us.

Today mobile devices have become ubiquitous. So much so that we cannot imagine life without them. Right from controlling our doors and heating to communication, mobile devices have changed the way we view the world. Fundamental to all this is wireless technology.

6G is the latest wireless communication technology which is still in the research and development phase.

Some of the main advantages of 6G or sixth generation wireless technology are:

1. They offer higher speeds and less latency than what is presently available.
2. They can incorporate AI based controls. This will mean highly efficient network selection, data processing, network management and decision making.
3. Connectivity will be seamless and reliable, even in highly crowded environments or even remote areas.
4. Global coverage can be achieved with 3D networking possibilities. Thus, ground, ariel and satellite networks can be used effectively.

An extremely important point that sets 6G apart will be the environmental sustainability and positive environmental impact. The hardware is envisioned to be more energy efficient and will thus consume less power. Similarly, renewable energy sources can be integrated to make base stations self-powered. Power consumption can be adjusted dynamically based on the load and other conditions in real time. Spectral efficiency will be achieved by using tetrahertz frequencies and spectrum can be reused. Increased virtualization will help save on cost of materials and also the setup of physical infrastructure.

While many parts of the world are seeing 5G rollout and implementation, it is interesting to see the advantages that 6G will have over 5G. Though 5G and 6G are both wireless communication technologies, the key differences are as follows. This analysis is based on our experience as the best software development company in UK and a leading software development company in USA.

1. Speed

5G networks offer speeds up to 10 Gbps, while 6G is expected to provide speeds up to 100 Gbps. Thus, there is a direct 10 times faster speed advantage.

2. Capacity

Due to increased speed, more devices can be supported.

3. Latency

5G has a latency of around 1 millisecond, while 6G is expected to have a latency of less than 1 millisecond.

4. Wider application net

Due to low latency, mission critical applications can be easily onboarded in 6G. This includes applications like autonomous driving, holographic communication, highly immersive applications like augmented reality and virtual reality. Connectivity will be applicable across a lot of different systems than is available at present with 5G. This will also help to create personalized experiences.

5. Frequency Bands

5G operates in frequency bands up to 100 GHz. 6G, on the other hand, is expected to operate in the terahertz frequency bands (100 GHz to 10 THz). Thus, there will be greater bandwidth available for use.

Why Grhombustech?

Grhombustech is a leading software testing company in UK and has the best iot testing experts on its rolls. We bring a layered approach to any IoT solution. Our segment-wise approach ensures that we bring 100% coverage to all IoT systems, right from the hardware and network to the data storage, cloud and final application. This comprehensive approach has helped us win the admiration of clients and we have emerged to be a leading software development company in UAE. Apart from IoT, we also have expertise in a range of services and areas including Devops, Salesforce, EdTech and Cyber security.

Money is fundamental to human life and economic growth. Money allows for the exchange of goods and services and quantifying them in a tangible fashion. Similarly, the concept of money helps in storing wealth and allows for valuation and comparison. It greatly expands the scope of trade and promotes uniformity in transactions whether across the border or within the country.

With the growth of technology, the concept of money and technology have emerged to create a new avatar of cryptocurrency.

Cryptocurrency is a type of digital or virtual currency that uses cryptography for security. Unlike normal currency, there is no central bank issuing the currency. A distributed ledger and blockchain technology is used to validate the transactions. The first cryptocurrency to emerge was Bitcoin. Since then, many cryptocurrencies have emerged. The value of different cryptocurrencies is calculated differently and there is no uniformity in the way they operate, as each currency has its own list of conditions. Given that this is a new area, the impact on the market is an interesting study. As a leading software developer in USA, GRhombustech has given basic inputs in this blog. We would always advice the readers to do complete research and also consult finance professionals before undertaking any investments in crypto.

1. Market Volatility

Cryptocurrencies are known for their extreme volatility in value. Prices can skyrocket to unprecedented heights or plummet in a matter of hours. Thus, returns can be high or low and there is no assured stability in the way things operate.

2. Tax challenges

Many governments do not recognize cryptocurrency as a legal form of currency. Further, many governments have enacted strict laws to curb investments in cryptocurrency or brought in taxation laws to tax the gain on capital etc. While there have been cryptocurrency exchanges and investment products like normal markets, they are mostly not completely recognized.

3. Regulatory Framework

The rise of cryptocurrencies has posed significant regulatory challenges. Because they can be used anonymously, they have been linked to illegal activities. Since the concept can be easily misused, many governments are wary and a complete framework is yet to be created. Further, while crypto operates on a global level, the same level of understanding has not yet been achieved between financial institutions, banks etc. This has made crypto a legal and regulatory soup!

4. Disruption of Traditional Banking

Cryptocurrencies can potentially disrupt traditional banking and financial systems. They offer a way to transfer funds directly between parties without the need for a trusted third party like a bank. However, crypto currencies can be manipulated and there are frequent news about hacks and attacks on exchanges. Hence, the reliability factor is less.

Why GRhombustech?

GRhombustech is a leader in offering cyber security solutions in USA and among the best software development companies in USA. We also offer iot testing services and salesforce CRM customization. Established in 2014, GRhombustech also brings rich insight to Salesforce products and solutions. Our insightful work and key implementation expertise have delivered powerful transformations to clients and created enduring value. We also offer test automation services in India and custom software development in UK.

The company has delivery centres in India at Hyderabad, Chennai and Bengaluru, and a staff strength of 200+ employees all around the globe.

For more details, please contact us.