Author: saravana

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. It’s designed to help solve the problems that arise from the centralization of data processing and storage in cloud computing. Some of the latest applications of edge computing include the following.

1. IOT

Internet of Things (IoT) can use edge computing extensively. Edge computing can process data from IoT devices in real-time, allowing for faster response times. This is particularly useful in industrial IoT settings where immediate data analysis can improve operational efficiency. Some examples include setting the pressure for steam generation in a boiler. As the quality of the fuel keeps on changing, the calorific value will be affected and thus the heat output will vary. By controlling this variable closely and at a very micro level, not only can peak efficiency in steam production be achieved, but also the fuel throughput can be made optimum.

2. Autonomous Vehicles

Self-driving cars generate a massive amount of data that needs to be processed quickly for the vehicle to operate safely. Imagine driving on a highway autonomously at high speed and stray cattle comes in the way out of a corner. Such challenges can be solved easily as edge computing allows for this data to be processed in the vehicle itself, reducing latency.

3. Smart Cities

In smart cities, edge computing can help process data from various sensors and devices in real-time, improving the efficiency of city services and reducing data transmission costs. For example, edge computing can help in traffic monitoring and real-time analysis of video. It can help optimize traffic, reduce the amount of data that travels to the cloud. It is more fault tolerant than a centralized system.

4. Content Delivery and Streaming:

Edge computing can be used to cache content closer to the user, improving the speed and reliability of content delivery and streaming services. This means that even if the user is having bandwidth issues, high quality video can be played on the user’s device. This can also be extended to applications in telecom.

5. Healthcare

In mission critical healthcare applications like remote surgery and real-time health monitoring, edge computing can be a boon since there is no latency involved. Privacy and data security is ensured since the data is more localized and this helps in complying with strict data regulation guidelines that arise when handling the data. Further, many IoT devises can be connected in real time and used simultaneously since data bandwidth consumption is very less.

6. Augmented Reality (AR) and Virtual Reality (VR)

AR and VR applications require low latency to provide a smooth user experience. Edge computing can process data closer to the user, reducing latency and improving the user experience. AR and VR in turn can be applied to a large spectrum of areas right from medical and education to retail and banking.

Why Grhombustech?

GRhombustech 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. Established in 2014, GRhombustech 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.

In today’s world, cloud computing and data warehousing are key components to organizational success. They help organizations stay agile and cost effective without compromising on other factors like data integrity, security etc. Further, by consolidating data in a single warehouse, there is improved visibility, centralization and a unified view to the data.

In fast-paced industries, this agility is critical for survival and reduces the time to market. It drastically improves collaboration, breaks down silos and improves productivity and employee satisfaction. Further, in the event of a emergency, business continuity is not affected as redundancy is often built-in with such solutions. As a leading software development company in USA, GRhombustech provides our insights

Snowflake is a cloud-based data warehousing platform that provides a platform as a service. It is a viable and comprehensive option for organizations looking to modernize their data management and analytics infrastructure.

Some of the key advantages of the Snowflake Data Cloud Platform are:

1. Scalable and Flexible

An organization has large amounts of data, and the workload is dynamic. In such as case, Snowflake’s architecture allows for seamless scaling of storage and compute resources independently. Thus, there is no performance degradation at any point of time. Snowflake’s architecture separates storage, compute, and services layers, enabling users to scale and manage resources independently.

Further, Snowflake supports structured and semi-structured data. This flexibility means that a large variety of data types can be handled.

2. Integration

Snowflake can seamlessly integrate with various data processing and analytics tools. Thus, as an organization, I am empowered to build custom data pipelines and analytics solutions. That means that I can achieve a very custom solution without heavy lifting or too much investment.

Key aspects like data sharing between organizations can be facilitated. This means that collaboration on a large scale and data-driven decision making are facilitated.

3. Cloud-native and Simplicity

Snowflake is built for the cloud and it is not mapped to any particular service provider. Thus, one can use the services by taking full advantage of all the aspects of hosting on a cloud, without being locked to any vendor.

The user interface of Snowflake is extremely user friendly and the UEx is intuitive. A broad spectrum of users right from engineers to analysts can use the system with minimal training and orientation.

4. Performance and Security

The architecture and optimizations of Snowflake ensure fast query performance. Even when large data sets are involved and there are complex queries and workloads, performance is top notch. Security wise, Snowflake is reliable and designed around best practices like data encryption at rest and in transit, audit trials and capabilities and role-based control.

5. Economic Benefit

With its pay-as-you-go pricing model, Snowflake allows organizations to pay only for the resources they use. This is highly cost-effective for organizations and offers reduced cost. This is critical especially during the learning and onboarding phase.

Why GRhombustech?

GRhombustech is a leader in offering cyber security solutions and is a trusted information security partner for leading companies in Europe and USA. We take pride in customising security programs per customer needs and offering flexible and elegant solutions. Our experts deliver detailed analysis and documentation along with comprehensive mitigation and testing solutions at every step.

Apart from cybersecurity, we are also a leading software development company in UK. 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.

AI as a Service (AIaaS) refers to the provision of artificial intelligence (AI) tools, technologies, and algorithms as a cloud-based service over the internet. Some of the most popular service providers include AWS web services, Microsoft Azure machine Learning, tools from IBM and Google’s cloud platforms.

What is usually offered is a suite of machine learning (ML) algorithms, natural language processing (NLP) tools, computer vision, and other AI technologies that developers and businesses can access via APIs (Application Programming Interfaces) or software development kits (SDKs).

Some of the key activities that can be achieved through this include image and speech recognition, language translation, and predictive analytics. The output from these services can then be integrated into various applications and services.

AI as a Service (AIaaS) is a model in which businesses can access and use artificial intelligence tools and services through a third-party provider. AIaaS allows businesses to take advantage of the benefits of AI without having to invest in the infrastructure, expertise, and resources required to build and maintain an in-house AI system. Thus, even a small or a medium business can use powerful tools to improve the efficiency, without investing heavily in AI or employing key resources with knowledge in AI.

The steps usually involves a strong business case and analysis on what needs to be achieved. Without this clarity about the problem, a solution cannot be arrived at. Similarly, only if the problem statement is clear, will the tool and data set that is required to be used be understood.

The next step involves choosing a good AIaaS provider who offers the service suite they need. The business will then hold extensive consultations and finalize the deal. The AI service provider will undertake a consultative approach in helping to refine the problem and arriving at a solution. The business will then prepare and provide the data to the AIaaS provider. The data will have to be in an agreed structure and format and this can then be used to train the AI model.

The AIaaS provider can also work with the business to integrate the AI models into their systems and processes. This can include integrating with existing software, creating new interfaces, and providing training and support to users.

Continuous testing and optimization is necessary to achieve success. Once implemented, the business can quickly see the benefits and use AI to automate processes, gain insights, and make data-driven decisions. Giving feedback and training the system is the key to success.

Overall, AIaaS allows businesses to access and use AI capabilities without the cost and complexity of building and maintaining their own AI infrastructure. It provides a flexible and scalable solution that can be tailored to meet the specific needs of each business, while also providing ongoing support and optimization. By making an informed decision and by engaging with the right partner, a business can scale unmatched heights and exceed customer expectations.

About GRhombustech

GRhombustech is a leader in offering cyber security solutions in UAE and is a trusted information security partner for leading companies in Europe and USA. We take pride in customising security programs per customer needs and offering flexible and elegant solutions. Our experts deliver detailed analysis and documentation along with comprehensive mitigation and testing solutions at every step.

Apart from cybersecurity, we are also a leading software development company in UK and can implement Salesforce solutions in USA. 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.

DevOps is an approach to software development that emphasizes collaboration and communication between development and operations teams. Some of the key advantages of DevOps are:

1. Faster development of solutions and time to market
2. Higher quality is achieved as defects in software development and coding is reduced. Tracking of tasks is also made easy.
3. There is good communication between the development and operation teams and thus any knowledge silos are broken down.
4. There is increased efficiency in the process and DevOps supports and builds agile processes.

As the importance of cybersecurity continues to grow, a new trend has emerged: DevSecOps. This approach emphasizes the integration of security practices into the DevOps process, ensuring that software is secure by design. This will thus help lock down defects and ensure that no separate process is required considering security aspects or vulnerabilities. It will also make the development process and architecture more robust.

The concept is not new, but has gained prominence due to significant security threats and compromises that have happened in recent years. With DevSecOps, security is built into every stage of the software development lifecycle, from design to deployment.

One of the key benefits of DevSecOps is that it helps organizations identify and address security vulnerabilities earlier in the development process. By integrating security testing and analysis into the development pipeline, organizations can catch security issues before they become more difficult and expensive to fix later in the process. This approach also helps to create a culture of security within the organization, where everyone involved in software development is responsible for ensuring that software is secure.

Another benefit of DevSecOps is that it can help organizations comply with regulatory requirements related to cybersecurity. By ensuring that security is built into the development process, organizations can more easily demonstrate compliance with regulations such as GDPR, HIPAA, California Security and Privacy Laws and PCI DSS.

DevSecOps also requires a shift in mindset from the traditional DevOps approach. Developers and operations teams must prioritize security and work together to identify and address security issues. This means that security professionals must be involved in the development process from the beginning, rather than simply conducting security audits after the fact. Specialized consultants and companies can also be involved to increase the knowledge pool and thus make the entire process sounder and more stable.

In summary, the advantages of shifting to DevSecOps are listed below.

1. Security is built into the system and development cycle
2. Easy to demonstrate compliance with various legal norms
3. Security issues are identified early and fixed
4. Increased collaboration and communication between various teams
5. Expensive remediation efforts in the event of a security breach are minimized

However, it is not very easy to shift to DevSecOps as it requires a fundamental change in mindset. A culture based on security must be created in the organization and security analysis and testing must be made a part of the development process. Automated tools may also need to be purchased to find out vulnerabilities. One must also have an understanding of the evolving cyber security challenges and the legal landscape and stay up to date with the latest trends and developments.

Why GRhombustech?

GRhombustech is a leading custom software development company in the UK and among the reputed cyber security companies in the UAE. 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 speciality lies in delivering tailor-made solutions for organizations, and we take pride in our collaborative approach and holistic thinking. 

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!

The term contactless technology refers to a group of special technologies that allow for communication or transactions without the need for physical contact between two objects or devices. Some of the examples of contactless technologies are:

1. Near Field Communication (NFC)
2. Radio Frequency Identification (RFID)
3. Bluetooth Low Energy (BLE).

Near Field Communication (NFC) is a short-range wireless communication technology that enables data exchange between two devices in close proximity. It is commonly used for data transfer between devices and for contactless payment. Any data transfer can be encrypted, thereby adding a higher layer of security.

The key advantages of NFC are:

1. It is a very simple technology to use and requires minimal setup time.
2. Data transfer can be encrypted.
3. It is supported by a wide range of devices and thus, there is higher versatility.
4. Data transfer speeds are quite good.
5. The power consumption is minimal or negligible.

RFID, or radio frequency identification, is a contactless technology that allows data to be transmitted wirelessly between a tag or label and a reader. This technology uses electromagnetic fields to automatically identify, and track tags attached to objects.

An RFID system typically consists of a tag or label, which contains a unique identifier and an antenna, and a reader, which emits a radio frequency signal that is picked up by the tag’s antenna. The tag then responds with its unique identifier, which is read by the reader and transmitted to a computer system.

The key advantages of RFID are:

1. RFID tags are durable unlike barcodes and can withstand harsh conditions.
2. They are an excellent choice for inventory tracking, especially when large volumes are involved.
3. RFID tags can store more information.
4. High levels of automation can be achieved using RFID and this reduces chances of human error.

Some of the common applications of contactless technologies are:

1. Access Control

Access control was one of the earliest adopters of contactless technologies. Such controls and control systems are commonly used in offices, hospitals, and other facilities to control access to specific areas or rooms. These systems usually involve an access card or fob that is waved over a reader to unlock a door.

2. Payment Systems

With QR codes revolutionizing payment systems, contactless payment systems have now become common place. It is also the same technology that finds applications in areas like making a payment by tapping a card, smartphone, or other device on a payment terminal.

3. Transportation

FastTag for toll payment is a classic example of application of contactless technology. Many public transportation systems like Metro Trains in major cities allow for contactless payment by allowing passengers to pay for their fare by tapping their card.

4. Healthcare

Contactless technologies are increasingly being used in the healthcare sector for applications such as patient identification, tracking medical supplies, and monitoring patient vital signs.

Overall, contactless technologies are powerful and versatile. They have revolutionized many industries like warehousing, payments and e-commerce and they continue to be adopted in new and innovative ways.

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 customisation and advanced automation functions based on the business needs. For more details, contact us.

Software and programming have revolutionised the way we work and have positively impacted human life at every level. Today, there is no field in the world that is immune to the software revolution.

Traditionally, software development proceeded on a monolithic architecture. In such a case, the entire system is developed as a single unified system. The codebase contained all the necessary components, such as the user interface, business logic, and data storage. Thus, all components shared the same memory space, and the entire application was running as a single process. This approach was easy to code and deploy especially for small scale software projects. However, as software projects became more complex and mission critical, such a monolithic approach had its inherent limitations. It was difficult to maintain the software and install patches and upgrades. Further, with increasing IT penetration and expanding user base, scaling up of systems was also a challenge.

Testing was difficult and making changes to one part of a system could have an impact on some other part. It was also difficult to trouble shoot in such cases, with testing also becoming cumbersome.

Considering the above limitations, many organizations moved away from a monolithic architecture to a more user and deployment friendly architecture like microservices or service-oriented architectures.

A microservice architecture is a type of software architecture wherein an application is composed of small, independent, and modular services. Each microservice performs a specific function and communicates with other microservices through well-defined APIs or any other light-weight protocol.

Some of the advantages of microservices are:

1. Robustness and Scalability

Microservices are usually small and self-contained. Hence, they can be scaled up or down as needed. This means that the application can handle varying levels of traffic and workload without impacting performance. Even if one part of the application fails, it does not bring the whole roof down (literally!).

2. Agility in application

Each microservice can be developed, deployed, and maintained independently, which allows for greater agility in the development process. Teams can work on different parts of the application without having to worry about breaking other parts, unlike in a monolithic architecture where all parts are held together as one unit.

3. Diversity in application of technology

Different services can be developed using programming languages, frameworks or technologies, depending on the specific requirements of each service. Thus, the best can be chosen for a specific function and this will deliver amazing results in overall performance.

Some very famous use cases of microservices being actively used are:

1. Amazon

Amazon actively uses microservices for application development and deployment.

2. Netflix

Netflix has over 500 microservices that run and is a great example of smooth performance even in conditions of high load or varying traffic volume.

3. Airbnb

Considering the business case of Airbnb, it is vital that users be notified on different devises and have a seamless experience right from logging in to making a booking. In such cases multiple channels and platforms being used, microservices are the best bet to success.

4. Best Buy

Best Buy was an early pioneer and started migrating to a microservices framework to manage and transform their e-commerce portal.

Overall, microservices offer a more decentralized approach, where each service can be updated and improved without disrupting the entire system. They are cheaper to develop and deploy and considering increasing complexity of software projects, microservices look to be among the safest and best methods forward.

About GRhombus Technologies

GRhombus Technologies is a leading software development company in UK. Apart from software development, we are also among the leading cyber security companies in UAE. GRhombus Technologies 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 Technologies family now has over 200 employees.

For additional details, please contact us.

Datafication refers to the process of turning various aspects of everyday lives of people like their behaviour, transactions made, social interactions etc into data in a structured format. This data can then be analysed using various data-analysis techniques and advanced technologies to glean information.

Technologies and developments in the arena of big data, machine learning, artificial intelligence etc have led to the increasing popularity of datafication.

Understanding Datafication with an Example

GRhombus Technologies, the best custom software development UK has to offer and among the leading cyber security companies in UK has deep experience in this domain. To understand the concept of datafication easily, let us understand the same with an example.

Consider a common health/fitness tracker or a health watch. They commonly collect data like heartbeat and pulse rate, number of steps walked, sleep patterns etc. This raw data is then stored and analysed by the system and displayed in a mobile or desktop application. The user can then get insights into their health and get personalized recommendations based on available scientific facts to help enhance their lifestyle and improve well-being.

Now consider that this data collected from various individuals is pooled. This polling and aggregation will give a larger data set. By analysing this data set, one can get insight on the general health and well-bring of a population. This can in turn help set up public health policies, investigate scientific approaches to improve health, provide specialized healthcare etc. Thus, society can benefit as a whole by this process if used correctly.

Today, datafication has led to the development of new business models, services, and products that leverage data to generate insights, create value, and drive innovation.

Some of the advantages of datafication are:

1. Robust decision-making

Datafication can help organizations make better decisions because they have access to more accurate and up-to-date information. By analyzing data, companies can identify patterns and trends that would be difficult or impossible to identify otherwise. This is especially true in sales trends, personnel productivity etc.

2. Improvement in efficiency

With a study of the data available from datafication, one can automate processes and reduce the time and effort required for tasks such as data entry, analysis, and reporting. This can lead to significant cost savings and increased productivity.

3. Achieve customer delight

By collecting and analyzing customer data with the active permissions of customers, organizations can gain insights into customer behaviour and preferences. Thus, companies can offer custom solutions and delight customers with their offerings.

4. Innovation

By analysing the data, organizations can identify trouble spots and innovate to achieve value both for the organization and for customers.

5. Manage and mitigate risk

By analyzing data, organizations can identify potential risks and take proactive measures to mitigate them, reducing the likelihood of costly incidents. This is especially true in the financial domain where analysis of data can help prevent fraud.

GRhombus Technologies

GRhombus Technologies is a leading software development company in USA and has the best cyber security experts in the business. From smart devices to technology stacks, we have end-to-end capabilities in the IoT domain and Salesforce implementation.

We are led by a dedicated and experienced team and take pride in offering cutting edge solutions to any business challenge. We have helped many businesses unlock potential and deliver value.

For any additional queries or business needs, feel free to contact us!

Driverless cars (also known as autonomous cars or self-driving cars are the latest innovations in technology. Right from Uber to Google, a lot of companies including automotive companies are investing in this technology to make driving easy. It uses a combination of sensors, cameras, radar, and artificial intelligence (AI) to sense its environment, analyze data, and make decisions about driving actions.

The aim is to completely replicate the actions and decision making of a good driver and also allow for a human override function, which allows a person to take control of the vehicle in certain situations. However, though ambitious, this technology is difficult to master.

Why is Autonomous Driving Difficult to Achieve?

Decision-making complexity

It is well known that even simple actions human actions are difficult to replicate. Autonomous driving involves decision making based on complex data sets with inputs from multiple sources, including real-time sensor data, road maps, weather conditions and traffic patterns.

Timing

While decision making is complex, it should also be done within a short time to ensure safety of passengers, other road users etc. Sometimes, split second decisions may be involved.

Unpredictability

On-road scenarios and conditions can be unpredictable and change rapidly. From a pothole to crossing pedestrians, changing weather, sudden rains etc, the list of unpredictable scenarios that can arise is countless.

Safety Concerns

Passenger safety must never be compromised. Any hazards must be immediately identified, and action taken. This is also the case when the driver may doze off.

What is the role of AI in Autonomous Driving?

AI plays a critical role in autonomous driving. Right from sensing the external environment to data gathering analysis and decision making, everything must happen seamlessly. Self-driving cars rely on a variety of AI technologies, including machine learning, computer vision, and natural language processing, to operate safely and efficiently. They are explained in detail below:

Machine Learning

Machine learning algorithms are used to train self-driving cars to recognize and respond to different objects and situations on the road. An autonomous car must be able to differentiate between pedestrians, animals, objects, other vehicles etc. As self-driving cars collect more data and learn from their experiences, their algorithms become more accurate and effective.

Based on this data that is gathered, decision making must be done. Path planning and determination of the most safe and efficient route is also undertaken by machine learning. Autonomous vehicles require high-precision maps to navigate the roads. Machine learning algorithms can analyze sensor data and create detailed maps of the environment.

Another important parameter is determining the behaviour of the driver, detecting signs of fatigue and distraction and taking appropriate action.  A driver must always be alert and ready to take control of the vehicle if necessary.

Computer Vision

Computer vision allows autonomous vehicles to “see” the world around them using cameras, sensors, and other devices. Computer vision algorithms are used to interpret visual data from these devices and identify objects, people, and other relevant information in the environment.

It is used for detecting objects, lanes, traffic signals, obstacles, pedestrians etc and then decisions are made accordingly.

NLP

Natural language processing (NLP) is used to enable self-driving cars to communicate with passengers and other drivers. NLP algorithms allow self-driving cars to understand spoken or written commands and respond appropriately, for example, by adjusting the temperature or navigation route.

NLP involves speech recognition to understand verbal instructions and commands, understanding the emotions and intent, answering queries, text-to-speech conversion etc. It should also bring high levels of contextual awareness and gradually understand the driver/user’s behaviour to offer a custom solution.

Overall, autonomous driving is a very promising field and it is definite that with more advancements and research, 100% autonomous driving will be achieved in the future.

About GRhombustech

Grhombustech is a leading software development company in UK and 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. Grhombustech is dedicated to world-class customer service, innovations and cutting-edge solutions. For more details, contact us.

Human conversations and expressions have existed since time immemorial and in today’s world, communication plays a critical role in maintaining human relationships and understanding. Conversations need to be real for humans to add value to any endeavour. With the growth of AI and machine learning, chatbots are a new trend to emerge.

What is an AI chatbot?

An AI chatbot, or simply a chatbot, is a computer program designed to simulate a conversation with human users through text or voice interfaces. Natural language processing (NLP) and machine learning are used by bots to understand and generate appropriate responses.

Today, AI chatbots find wide-ranging applications from sales and customer support to searching on the Internet and personal assistants. The advantage of an AI chatbot over a rule-base chatbot is the ability to continuously learn and refine the responses supplied over time.

Advantages of AI chatbots

Availability

Chatbots can work 24 x 7 x 365 without human intervention and fatigue.

Efficiency

Since I chatbots continuously learn, the responses get precise over time. Further, AI technology can help process large amounts of data and analyse the same. It also makes economic sense to employ chatbots since high volume business needs can be easily satisfied.

Scalability

Once the model is perfected, the number of conversations that can be handled can be increased and accurate responses provided.

Some of the recent Chatbots that have become famous are:

ChatGPT

ChatGPT is a large language model developed by Open AI and backed by Microsoft. Using deep learning techniques, the system generates logical responses in a human-like fashion. Using the technique of natural language processing, it can access and communicate information effectively. Released in late 2022, it has been used widely all over the world and won plaudits for the way it responds to queries.

Microsoft Bing AI

This is an evolution of ChatGPT and has been released to select users for test. The main idea is that it will unite the search, indexing and ranking data from Bing with the artificial intelligence of GPT. This will help provide a holistic response to any query, add creativity and deliver a fuller user experience. The chat experience will help users to refine their ideas and arrive at a better clarity regarding the query.

Google Bard

Google is the worldwide leader in online search and Google Bard is the latest AI offering from Google, which is proposed to go live in March 2023. It is based on Google’s Language Model for Dialogue Applications (LAMBDA). Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of large language models. It draws on information from the web to provide fresh, high-quality responses and thus improve the user experience and save time. Moving forward, Google intends to create a suite of tools and APIs that will make it easy for anyone to build innovative applications with AI. 

However, it should be remembered that all AI tools, including chatbots have limitations and hence, must be used with caution. They do not have empathy and may not be able to answer all questions accurately or completely. They may not understand the context and if the data set for learning is not proper, then responses can be biased.

About GRhombustech

GRhombus Technologies, is among the leading EdTech companies in UK and cybersecurity companies in UAE. Apart from these areas, GRhombus has established itself as a pioneer in Data Visualization, 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 spread all over the globe. We have delivery centres in India and partner offices in Europe.

For more details, contact us.

With mobile devices becoming a part and parcel of our lives, more and more functions are being added to mobile phones. Right from monitoring health to opening doors, a lot of functions have just become part of a mobile phone. For each of these functions, an application is required.

Mobile app development is the process of creating software applications that run on a mobile device, such as a smartphone or tablet, using tools and technologies specifically designed for the mobile platform.

This includes designing, coding, testing, and deploying the app to an app store like Google Play, etc. It can also be offered for private download.

Some popular frameworks and platforms for mobile app development include:

1)    React Native

React Native allows developers to build mobile apps using JavaScript and React, a JavaScript library for building user interfaces. A concept and syntax similar to React are used by React Native also. However, instead of targeting web browsers, it targets mobile platforms such as iOS and Android. This mobile app development framework was created by Facebook.

2)    Flutter

Flutter is a mobile app development framework created by Google. It uses the Dart programming language to build mobile apps for iOS, Android, and the web. The main advantage is that the framework automatically updates the app’s user interface in response to changes in the underlying data.

3)    Xamarin

Not to be left behind, Xamarin is a mobile app development framework created by Microsoft. This allows developers to build mobile apps using C# and the .NET framework. Xamarin also includes a feature called Xamarin Forms, which allows developers to create a single, shared user interface for their app that can run on multiple platforms.

4)    Ionic

Ionic is an open-source framework for building mobile applications using web technologies such as HTML, CSS, and JavaScript.

5)    Cordova

Cordova is also an open-source framework for building mobile applications. It provides a bridge between web code and native device features, such as the camera, GPS, and accelerometer, enabling developers to access those features from within a web-based app.

6)    NativeScript

NativeScript is an open-source framework for building mobile applications using JavaScript, which allows developers to create truly native apps for iOS and Android using a single codebase

7)    Swift and Objective-C for iOS

They are used for developing iOS and macOS applications. Objective-C is an older, high-level programming language that was widely used for developing iOS and macOS apps before Swift. Swift is a modern, high-performance programming language developed by Apple for iOS, macOS, watchOS, and tvOS. Swift is designed to work seamlessly with Cocoa Touch and Cocoa, the frameworks that make up the iOS and macOS SDKs, which makes it easy for developers to create high-performance and responsive apps.

8)    Java and Kotlin for Android

Java is a well-known programming language while Kotlin is a more recent programming language that helps to overcome the shortcomings of Java. Kotlin is an open-source, statically typed language that is fully interoperable with Java and can be used to build high-performance and reliable Android apps.

All of the above languages have large and active communities with tutorial libraries and resources. It is a point to note that the choice of a framework or platform is to be decided after a thorough business analysis and understanding of requirements. It will also depend on the skills of the company developing the application and support available online.

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.

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

For more details, please contact us.