Role of AI in Chronic Care Management

Effectively managing chronic diseases such as asthma, diabetes, cancer, and several others have been one of the biggest challenges for healthcare providers worldwide. According to a study, chronic diseases are responsible for 70% of deaths and about 50% of the disease burden globally. Owing to this, we will discuss how AI in chronic care management can change these numbers.

As the pandemic unleashed a global health crisis, many countries faced a shortage of healthcare professionals and medical resources. This caused several hurdles for patients with chronic conditions to get treatment at the right time. Such conditions forced chronic patients to adapt to remote and digital treatment, which is the new normal in the current world.

For medical professionals to deliver quality remote healthcare, it has become essential to leverage fast-emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML).

Both AI and ML have already shown how they can significantly improve the efficiency of operations in various other industries like e-commerce, manufacturing, automotive, etc. In this article, we will take a look at the role of AI in Chronic Care Management (CCM).

Key Benefits of Chronic Care Management

Before we understand the importance of AI in Chronic Care Management, let us look at some key benefits of Chronic Care Management: 

• Chronic Care Management or CCM offers an organized approach to dealing with chronic conditions, making the process more coordinated for patients as well as the healthcare provider.
• Healthcare providers can build long-term relationships with patients through their CCM services, which can result in increased revenue.
• It can prevent unnecessary visits to partitioners.
• Researchers have proved that CCM can offer quality healthcare to patients at a lower cost.

What is the Role of AI in Critical Care Management?

Here is how AI in chronic care management can turn around the situation:

●     Medical Data Analysis

An extensive medical data set will be required to utilize AI in chronic care management at its full potential. In today’s digital world, it can be easily gathered throughout the patient life cycle via mobile applications, IoT devices, and patient portal software. An Al-based algorithm can analyze this pool of data and generate new insights and opportunities for both patients and medical professionals in CCM. This can streamline the overall chronic care management processes.

●     Prognosis and Prevention of the Disease

One aspect of CCM is to prevent diseases from happening. With the help of AI, practitioners can identify the choric disease to which the patient is susceptible. This allows the doctors to take the correct preventive measures and circumvent the chronic condition.

In a study published by Yannis Paschalidis in Harvard Business Review, healthcare professionals were able to forecast hospitalizations due to diabetes and heart disease a year in advance using machine learning and Electronic Health Records (EHRs) with an accuracy of 82%. 

●     Diagnosis of Diseases

Many recent studies have proved that AI can also be indispensable when it comes to the diagnosis of diseases. Al-algorithms can easily detect diseases based on data points like medical imagery, ECG data, patients’ demography, and their medical history. Such developments have led to time and cost-effective CCM service. It also has significantly improved remote diagnosis.

●     Treatment

The healthcare data can be used to create AI/ML models that can assist physicians in medication modeling and treatment suggestions. These models can be further applied to suggest appropriate dosage and treatment plans for the patient.

A personalized plan and treatment for individual patients can also be created by AI. The personalized treatment can enable clinicians to intervene before a patient’s condition becomes critical, making CCM more effective.

Recently, a company named IBM Watson has achieved some remarkable results by utilizing AI in the field of oncology. The organization performed genetic data analysis and was successfully able to identify the rare secondary leukemia caused by myelodysplastic syndromes.

●     Remote Patient Monitoring (RPM)

With an AI-powered CCM, healthcare professionals can constantly monitor a patient’s vitals like blood pressure, pulse rate, temperatures, etc., from the comfort of their home. The AI can also send an alert to health professionals if there is any sudden or critical change in the vitals of a patient.

●     Virtual Assistant

Chronic diseases generally last for a lifetime. As the patient gets older, it gets difficult for them to keep track of medication and appointments, which causes disturbance in their chronic care management. In such cases, an AI-powered virtual assistant can come in handy for the patient. It can assist them by ensuring drug adherence and also monitor their vital data.

For example, a Meditech company created AI-embed nurse avatars that send notifications to the patient each morning for a check-in routine, record their vitals, and sends alerts for timely intake of medicine.

Another aspect of chronic care management is measuring and managing the patient’s chronic pain. Here again, AI can assist in detecting chronic pain by monitoring the facial muscle movements of patients who are unable to self-report the pain to their physicians.

Conclusion

Artificial Intelligence can offer actionable insights to guide clinical decisions and allow physicians to diagnose, treat and handle chronic conditions remotely, thus making chronic care management more efficient, accessible, and affordable.

That’s why many healthcare organizations have begun to utilize AI in their chronic care management services. If you are also looking to leverage AI to improve your chronic care management, you will need to hire or work with people who have relevant expertise and skill set.

Mindfire Solutions is an IT-service provider that has worked with several healthcare organizations over the years to provide customized healthcare tech solutions that are highly cost-effective, secure, and scalable. Visit Mindfire Solutions to learn more about us.

The Future of Application Development for Enterprises: React

Introduction

Mobile applications play an essential role in generating revenue for businesses with an online presence. An application has all the functionality of the company website, but it is more compatible with the mobile device’s hardware and interface. Mobile Application development has helped multiple industries to expand their global footprints.

According to a latest industry report, mobile applications were responsible for generating 365 billion U.S. dollars in revenue worldwide, and it is not hard to predict that these numbers will only increase. It is projected that by 2023, mobile applications will rake in business well worth over 935 billion U.S. dollars for companies globally.

As the future of mobile applications is looking very bright, more companies are focusing on developing applications that offer a seamless user interface and meet all their customer’s requirements. However, it is not an easy task to create a successful application.

There are many methods and approaches you can adopt to develop an app. You can choose to build a native application, or you can go for cross-platform app development. You also have the option to choose from different programming languages and frameworks.

Most companies prefer a cross-platform app development framework because it saves a lot of time and resources. One such framework that has grabbed the attention of developers is React or React Native, to be specific. A latest industry report showed that as of 2020, React Native was the 2nd most popular choice among developers for cross-platform app development.

Before we get into why React or React Native is the future of enterprise application development, let us understand a bit about it.

The Key Features Of React Native

React Native is a cross-platform application development framework created by Facebook. It was made an open-source platform in 2015 and has been used by many enterprises ever since. Popular companies like Instagram, Netflix, Flipkart, Tesla, and others have used React Native for cross-platform development.

An application that is used for Android and iOS is called a cross-platform application. React Native makes it very easy to build a cross-platform app. The developer will only have to write the code once, and the app can cater to multiple mobile operating systems.

Even though React Native is a cross-platform app development framework, one of the benefits of developing an app on React Native is that it delivers a user experience akin to a native application. Hence, you can expect a React Native app to run smoothly without any glitches.

Many computer engineers and developers claim that, with time, more and more enterprises will choose React Native for cross-platform application development. Let us dissect why that is the case.

Why Is React Native Future Of Enterprise Application Development?

Here is why React Native will be the future of mobile app development for enterprises:

● Reduces Development Time

One of the things that most companies love is reducing the time to market so that their product can be available as soon as possible. By using React Native, businesses can achieve lower time to market. It enables the developers to build the app in a much faster and efficient way.

The developer using React Native can create an application in 30% less time than the other platforms. As the development time reduces, the production cost also goes down. It is the reason why companies prefer React. It is also the reason many startups are choosing to develop their app on React Native.

Startups always aim to achieve high returns with minimum investments. Another advantage of React Native is its code reusability. 90 % of code written for Android can be used for iOS and vice versa. It again saves much time.

● Cross-Platform Ability

As discussed earlier, React Native is an excellent framework for cross-platform app development. However, at the inception of React, you could have only developed applications for iOS. Later, when Facebook realized the full potential of React, they re-developed the framework that was compatible with Android as well.

React Native allows your team developers to build an application on a single platform. This process eliminates any miscommunication among the team. There are different design specifications for different operating systems. React Native also came up with a solution to this problem by providing file extensions that can be used when needed.

● Native Nature

The name “React Native” was given to the framework because the application developed on it can operate as a native application. A native application can only work on one operating system; It can work for iOS or Android, but not both. Native applications have better integration with the device’s hardware and therefore deliver outstanding performance.

This native app-like performance is because of the native widgets of React Native, which also helps in UI development. In fact, React Native surpasses native applications in terms of performance.

Another reason for the excellent performance of React Native is JavaScript, which is the scripting language in React. It allows the framework to create complex applications.

● Real-Time Updates

Real-time updates are another feature that attracts businesses towards React. You can push new updates into the application without user intervention through the app stores. Due to this, users get to enjoy the updated version of your app seamlessly.

React Native makes the up-gradation cycle of your app short and direct.

● Unparalleled User Experience

Most business owners are looking to provide a top-notch user experience to each individual using their application. Its compatibility and native app-like nature ultimately add up to create a rich user experience that your target audience will enjoy and will not mind revisiting your application when needed.

● Large & Growing Community

React Native has a large community of experts backed by Facebook. The React Native community is very active. If the developer faces issues at something while using React, they can share their problem with the community, and the community helps overcome it. There are already more than 2 lakh questions and answer on React Native, so the answers to their questions may be available.

Overall, this makes things easy for the development team if they face any issues while using React framework.

The Way Forward for Application Development

The value that React Native adds to the enterprise application makes it a clear choice among the business owners and developers for cross-platform application development. With less effort and money, React Native offers a high Return of Investment, which most companies want.

From the above points, it will not be a stretch to say, “React Native is the future of enterprise mobile application development”.

Like other businesses, if you too are looking for SaaS Based System, Mindfire Solutions can be your partner of choice. We have deep expertise in React Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years

Here are a few interesting projects we have done with the help of React. Click here to know more:

Case study for a social network platform for travellers.

Case study for a video consulting platform.

Rental and Property management case study.

The Benefits of Custom Educational App Development for Schools and Universities

The Edtech industry experienced exponential growth in the past couple of years, largely because of the push to remote due to the pandemic. The global market size of e-learning applications was estimated at $197 billion in 2020. In the same year, Coursera witnessed 10.3 million new enrollments, which was 644% more than in 2019.

With the growing adoption of remote learning solutions, it is evident that the demand for e-learning applications will further increase. According to a study, the global e-learning market is expected to reach $840 billion by 2030.

Schools and universities can adopt e-learning applications to make their education more accessible while also increasing learner engagement.

In this article, we will look into different types of educational applications schools and universities can develop and explore the benefits of custom educational app development.

Types of Educational Apps to Develop

There are different types of educational apps that can be developed for various purposes. Some of them include:

Apps for Exam Preparation

Educational apps can be customized to help students prepare for exams by providing mock tests, quizzes, and other study materials.

Education App for Kids

These apps are specially designed to make learning engaging for kids by using animated videos, puzzles, games, etc.

Apps for Learning New Skills

Schools and universities can develop custom educational apps to teach their students new skills such as coding, web development, graphic design, etc. Coursera, Udemy, and Duolingo are some popular examples of such type of an app.

Apps for Teachers

These apps provide teachers with the tools that can help in scheduling, lesson planning, etc., and enable them to teach efficiently.

Benefits of Custom Educational App Development

Personalized Learning

Teaching a class can be a challenging task. Every student learns in a different way, and it is difficult for a teacher to give personal attention to each one of them. By leveraging smart technologies like Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), the educational app can be programmed to provide students with content that is tailored to their learning style and pace. Personalized learning helps students to understand a concept in a better way, which can consequently improve their academic performance.

Easy Access to Learning Materials

Educational apps enable students to learn anywhere, anytime. With mobile application features such as push notifications, content-sharing, and live streaming, educators are able to easily share course material with their students while maintaining high engagement levels.

This accessibility is especially beneficial for students who are unable to attend classroom settings. It promotes distance learning and eliminates the need to travel to institutes to attend lectures, saving valuable time and travel expenses. These benefits allow educational institutions to reach a wider audience.

Improved Communication

Another advantage of custom educational app development is improved communication between students, teachers, and parents. The app can provide a platform for students to communicate with teachers and parents, share their work, and receive feedback. Teachers can also use the app to send updates and reminders to students and parents.

Furthermore, educational apps could help students to solve their doubts by scheduling one-on-one sessions with their teachers according to their availability. This improved communication helps to keep everyone connected, which promotes a seamless learning experience.

Increased Student Engagement

Educational apps can also increase student engagement by providing students with interactive elements such as quizzes, challenges, and games, making learning fun while motivating them to study.

The engagement can be further increased by incorporating an AI-chatbot assistant that can solve student queries 24/7 and also connect them with the teacher if needed, resulting in better learning outcomes.

Improved Assessment and Tracking

The educational app can offer teachers the tools they need to track students’ progress and assess their learning. For example, the app can provide teachers with options to prepare quizzes, tests, and other assessments that can be used to evaluate students’ understanding of the subject. Teachers can also use the app to track students’ progress over time, which can help to understand how well students interact with course material as well as identify areas where they need additional support.

Cost-Effective Solution

The development of an educational app is a valuable investment, and once the app is created, schools and universities can use it for an extended period. Additionally, the app can be updated regularly to ensure that it remains relevant and up-to-date. Schools and universities can reduce the costs associated with printing and distributing study materials, such as textbooks by replacing them with digital versions.

Conclusion

Custom educational app development can be valuable for schools and universities in the current times. The app development is a cost-effective solution from the long-term perspective that can increase student engagement, improve assessment and tracking, and lead to better learning outcomes.

If you are looking to leverage technology to enhance the learning experience of your students, consider investing in educational app development.

Developing an application can be an overwhelming task as there are various moving parts involved in the process. You can collaborate with an IT firm to drive efficiency in the development process and reduce your time-to-market.

Mindfire Solution is a leading IT firm that specializes in custom application development. We have assembled a team of expert professionals to create an interactive e-learning experience by infusing leading-edge technologies into traditional educational practices.

Visit Mindfire Solutions to learn more about our capabilities.

E-Commerce Customization: Get Your Solutions To Pay Off

In the world of online shopping, businesses need to offer exceptional experiences to their customers. While ready-made e-commerce software can provide a solid foundation, sometimes customization is required to meet specific business requirements. This blog post aims to guide you through the process of understanding your needs, selecting suitable software solutions, and seamlessly integrating them with your existing systems.

1. Understanding Your E-commerce Needs:

Before diving into customization, it’s important to assess your unique e-commerce needs. This means understanding your target audience, sales volume, product range, and desired features. Consider factors like how many people will be visiting your online store, the types of products you sell, how you want customers to pay, and how you will manage your inventory. By identifying your requirements, you can avoid spending unnecessary resources on features you don’t need and focus on what’s important for your business.

2. Choosing the Right Software Solutions:

Once you have a clear understanding of your needs, it’s time to evaluate different e-commerce software solutions that can meet those requirements. There are various options available, ranging from open-source platforms like Magento and WooCommerce to all-in-one hosted solutions like Shopify and BigCommerce. Assess each platform based on factors such as cost, flexibility, scalability, ease of use, available features, and community support.

3. What Does Customization Mean?

Customization involves making changes to the e-commerce software to fit your specific business needs. It’s like tailoring a suit to fit you perfectly. Customization options can include adjusting the design, adding new features, integrating other software or applications, and improving the overall user experience. Different platforms offer varying levels of customization, so it’s important to choose one that aligns with your requirements.

4. Prioritizing Customization Efforts:

While customization can be exciting, it’s crucial to prioritize your efforts effectively. Focus on the areas that will have the biggest impact on your customers and your sales. For example, personalized product recommendations, easy-to-use navigation, a smooth checkout process, and a website that looks great on both computers and mobile devices are all important factors. By prioritizing these aspects, you can ensure that your customizations provide the most benefit to your e-commerce business.

5. Connecting with Existing Systems:

Integrating your customized e-commerce software with your existing systems is essential for streamlining operations and maximizing efficiency. This means making sure that your online store works well with your other systems, such as inventory management, customer relationship management (CRM), accounting, or shipping solutions. Look for e-commerce platforms that offer pre-built integrations or the ability to connect through APIs. This allows information to flow smoothly between different systems, reducing the need for manual work and preventing data duplication.

6. Testing and Deployment:

Before launching your customized e-commerce solution, it’s important to test it thoroughly to ensure it works properly. This involves checking its stability, functionality, and security. Test the customizations on different devices and web browsers to ensure everything looks and works as expected. Gather feedback from potential customers to see if there are any areas that need improvement. Once you’re confident in the performance of your customized solution, you can deploy it to your live website.

7. Ongoing Support and Maintenance:

Customized e-commerce solutions require continuous support and maintenance to keep them running smoothly. Stay up to date with the latest security patches and updates provided by your chosen platform. Regularly monitor your website’s performance, loading times, and user experience. If any issues arise, address them promptly to ensure a seamless shopping experience for your customers. As your business evolves, regularly reassess your needs to identify new customization opportunities.

8. Mass Customization: The Way Ahead For Your E-Commerce Business

Mass customization is a business strategy that allows customers to personalize their products according to their preferences. It is a way to offer unique products to customers while still maintaining the efficiency of mass production. In recent years, mass customization has become increasingly popular in the eCommerce industry. In this blog, we will discuss the advantages of mass customization and how it can help your eCommerce business.

One of the main advantages of mass customization is that it allows you to offer unique products to your customers. By allowing customers to personalize their products, you can differentiate your brand from your competitors. This can help you attract new customers and retain existing ones. Additionally, customers are willing to pay a premium for personalized products, which can increase your revenue and profit margins.

Another advantage of mass customization is that it can help you reduce your inventory costs. With mass customization, you only produce products that have been ordered by customers. This means that you don’t have to keep a large inventory of products on hand, which can save you money on storage and transportation costs. Additionally, you can reduce your waste and environmental impact by only producing what is needed.

To implement mass customization in your eCommerce business, you need to choose a platform that allows for easy customization. Ideally, the platform should automate your inventory and manufacturing processes, so that online orders and customer interactions are seamless. There are many platforms available that specialize in mass customization, so it’s important to do your research and choose the one that best fits your needs.

It’s also important to note that mass customization is not just a trend, but a way of doing business that is here to stay. According to a study by Deloitte, 36% of consumers are interested in purchasing personalized products, and this number is expected to grow in the coming years. By adopting mass customization, you can stay ahead of the curve and meet the changing needs of your customers.

Conclusion:

Customizing e-commerce software is a strategic approach that allows businesses to meet their specific requirements and stand out in the competitive online marketplace. By understanding your needs, selecting the right software solutions, and connecting them with your existing systems, you can create a tailor-made e-commerce platform that offers an exceptional user experience. Remember to prioritize your customizations, thoroughly test your solution, and provide ongoing support to ensure the success of your e-commerce business.

Steps to Optimize Data Warehouses for Data Engineering

 

Data warehouses play a crucial role in deriving insights from data for many organizations. They are a central repository for storing and analyzing immense data from various sources. As the volume of organizational data continues to develop exponentially, optimizing the infrastructure of data warehouses has become more crucial than ever.

A scalable, well-optimized data warehouse provides quick query response times and ensures that business intelligence and analytics tools receive clear, consolidated data to drive crucial business decisions. This blog seeks to provide data engineers with actionable steps to maximize the efficacy and utility of their data warehouse systems.

Understanding Data Warehouses

A data warehouse is an organization's primary repository for storing, organizing, and analyzing enormous amounts of data from diverse sources. Data is pulled from operational databases and other systems for reporting and analytics purposes, cleaned, and aggregated into the warehouse. A data warehouse makes it simpler for users to access historical data, produce reports, and get insights since it is the one source of truth.

However, data warehousing faces significant challenges due to the data that modern organizations must handle. Several systems across various departments produce terabytes of organized and unstructured data daily. This data deluge has become more challenging to store, aggregate, and analyze in a way that guarantees quick query performance and enables advanced analytics. A high maintenance weight, a lack of scalability, diverse data sources with poor data quality, and challenges with optimizing for new tasks are further issues. These challenges highlight the requirement for meticulously organized data warehouses.

Benefits of Data Warehouse

Implementing a data warehouse generates significant benefits that assist organizations in maximizing the value of their data assets. The advantages of a centralized data warehouse include:

●       Consistency

With data from numerous sources in one place, a data warehouse ensures a single truth. The inconsistencies created by departments keeping distinct data sets are eliminated, and the accurate, reconciled data supports business choices.

●       Security

At the warehouse layer, sensitive security measures protect critical corporate data and comply with privacy laws. User roles and permissions restrict data access. Additionally, auditing shows data access and usage. It reassures stakeholders about data security.

●       Saves Time

Individual reports and studies no longer need to incorporate diverse data sources. Self-service business intelligence and analytics technologies may quickly access warehoused data. It saves users time compared to collecting data from numerous operational systems. Decision-making is faster and more informed.

●       Data Governance

Definitions of data standards are centralized in the warehouse. It assists in managing data quality, lineage, retention, classification, and utilization centrally. It disciplines the company's data management. Data governance cleans, standardizes, and follows company standards.

Steps to Optimize Data Warehouses

Optimizing a data warehouse involves several essential steps to ensure high performance and scalability. Let's look at the various phases of data warehouse optimization, including assessment, design, implementation, and maintenance.

●       Assessment and Planning

The first step in optimizing a data warehouse is to conduct audits and evaluations to determine its current state. It assists in identifying limitations, underutilized resources, and improvement areas. Goals and critical performance indicators must also be outlined in advance. Then, a road map outlining the optimization initiatives, timelines, required resources, and anticipated benefits should be created.

●       Data Modeling and Schema Design 

The data model and schema form the foundation and substantially affect efficacy. They must be optimized for the organization's typical queries. Normalization and denormalization should be balanced for optimal query processing. The principles of dimensional modeling can simplify complex queries.

●       ETL (Extract, Transform, Load) Process Optimization

ETL is the primary procedure responsible for importing data into the warehouse. Throughput can be increased by optimizing incremental loads, data profiling, error handling, parallelization, and transformation optimization. Changing data capture techniques allows ETL to keep up with the transaction volume of the source.

●       Query Performance Tuning

Explain plans, execution stats, and query monitors assist in identifying poorly written queries, missing indexes, and complete table scans that are dragging down performance. Rewriting queries, adding appropriate indexes, leveraging materialized views, partitioning, and query optimization techniques are all components of query tuning.

●       Indexing and Partitioning

Indexes speed up queries by preventing complete table scans. However, excessive indexes impact load times. Vertical and bitmap indexes enhance query performance further. When partitioned, large tables are more manageable, and queries can selectively access only relevant partitions.

●       Hardware and Infrastructure Considerations 

Scalability is affected by infrastructure design and hardware selection. Elasticity is provided via a scale-out architecture with nodes, clusters, and redundancy. Storage solutions must support intensive throughput workloads. RAM is used for caching and in-memory processing.

●       Data Compression and Archiving

Compression reduces storage overhead while archiving transfers less frequently accessed and older data to less expensive storage tiers. Together, they optimize storage utilization and costs without compromising query performance for active data.

●       Monitoring and Maintenance

A monitoring framework monitors metrics, identifies anomalies, and sends out alerts. Regular maintenance, such as statistics updates, index rebuilds, and vacuuming, reclaims space and assures the most efficient execution plans. Automation can assist in decreasing expenses.

●       Automated Workload Management

Workload management tools dynamically schedule and optimize query workload distribution based on priorities and system load. They assure compliance with SLAs by rerouting queries as necessary.

●       Security and Data Governance 

Strong access controls and security measures prevent unauthorized data access, and policies regarding data classification and retention ensure regulatory compliance. Auditing provides transparency, and tracking data's lineage promotes data integrity and quality.

●       Documentation and Knowledge Sharing

Institutional knowledge is captured by documenting optimizations, data models, ETL processes, configurations, and best practices. Platforms for collaboration encourage the exchange of knowledge to standardize best practices across teams.

●       Performance Testing and Tuning

Before production, testing reveals regressions caused by design or implementation changes. A/B testing helps compare and selection of the ideal optimization strategies. Moreover, continual tuning keeps the data warehouse performing optimally as burden patterns change.

●       Continuous Improvement 

A culture of ongoing assessment, planning, testing, and review of initiatives fosters a culture of optimization that results in continuous performance enhancements. Automation helps maintain optimizations and keep up with evolving data and analytics requirements.

Get Optimized Solutions with Mindfire Experts!

Various technical and process-related steps must be meticulously planned to optimize a data warehouse. It is not a straightforward task and requires specialized knowledge to ensure that all aspects are addressed appropriately. As a market leader in data engineering and digital transformation solutions, Mindfireprovides comprehensive support for optimizing data warehousing systems. Our consultants will assess your organization's unique requirements and recommend solutions for achieving high-performance analytics on scalable infrastructures. Visit our website and talk to our experts to discuss your requirements.

Multi-Cloud vs Hybrid-Cloud: Factors to Consider to Choose the Right Cloud Strategy

In today's digital-first business environment, cloud computing has become essential for expanding businesses to stay agile, scalable, and cost-effective. Determining the best cloud strategy can be difficult with so many cloud platforms and hybrid options.

Do you spread workloads and data over various public clouds for redundancy or maintain certain apps and data on-premise? This blog seeks to assist you in answering these crucial questions by understanding multi-cloud and hybrid-cloud approaches. We will explore the considerations that must be made when selecting one strategy over another. This blog aims to provide readers with valuable insights and guidance that will assist them in determining the optimal cloud computing path for their specific business requirements and objectives.

Understanding Cloud Computing Strategies

Cloud computing has become indispensable for businesses of all sizes for scalability, flexibility, and cost savings. Cloud computing is the on-demand supply of IT services such as servers, storage, databases, networking, analytics, and more through the Internet with pay-as-you-go pricing.

Instead of sustaining costly on-premise infrastructure with high upfront costs and limited scalability, cloud services offer a highly elastic and pay-per-use pricing model. It has allowed companies to rapidly scale up or down in response to fluctuating requirements, avoid overprovisioning, and eliminate hardware refreshes. The cloud has also accelerated innovation by providing developers access to nearly unlimited computing power for testing new ideas.

Within cloud computing, there are a variety of deployment and management strategies for cloud resources. The two main approaches are:

●       Multi-Cloud - This involves concurrently utilizing multiple cloud platforms from different vendors. For example, using Amazon Web Services for storage and computing in conjunction with Microsoft Azure for analytics and AI-related workloads. A multi-cloud strategy offers redundancy and protects against vendor lock-in.

●       Hybrid Cloud - With a hybrid cloud, companies keep some workloads and data on-premises within their private infrastructure while integrating cloud platforms for other applications. It enables the use of public clouds while maintaining security and control over sensitive workloads.

Choosing the Right Cloud Strategy

Several important factors must be examined to make an informed decision. Given below are some of the primary considerations that influence cloud strategy selection:

●       Cost

When deciding between multi-cloud and hybrid cloud strategies, cost is an important factor to consider. While a hybrid strategy requires upfront expenses to maintain some infrastructure on-premise, it can provide long-term cost savings by migrating workload processing to cloud platforms where companies only pay for the resources they consume.

However, a multi-cloud model eliminates the need for costly on-site hardware but increases the difficulty of consolidating invoicing from multiple cloud vendors. It provides optimum flexibility through usage-based pricing and the ability to optimize costs by executing specific workload types with the most cost-effective provider.

●       Cloud-first vs. Multi-Cloud

Whether a company has a cloud-first mentality or must maintain control over some internal systems significantly impacts choosing between a multi-cloud or hybrid cloud strategy. Organizations with a strong desire to leverage flexibility and innovation through cloud services will likely adopt a multi-cloud strategy to take full advantage of the scalability, agility, and pay-as-you-go cost structure this offers.

Those with legacy IT infrastructure, stringent governance policies, or sensitive workloads requiring stringent security may feel more at ease with a hybrid strategy that allows them to selectively choose which applications and data are migrated off-premise while retaining critical systems on-site.

●       Reliability

When choosing a cloud strategy, the dependability of operations and services is another crucial factor. A multi-cloud strategy has distinct advantages in this area, as distributing workloads and data across multiple vendors helps avoid vendor lock-in and potential disruptions. If one provider experiences issues, responsibilities can seamlessly failover to another platform. However, attaining consistent performance and connectivity across multiple clouds complicates management.

Meanwhile, a hybrid model provides the highest levels of availability for mission-critical systems hosted on highly reliable local infrastructure while leveraging cloud infrastructure for less essential workloads that are more fault-tolerant disruptions.

●       Performance

On-demand, public clouds can provide immense processing capacity and scalability. However, for latency-sensitive applications such as high-frequency trading, a hybrid or private cloud approach may provide an advantage in assuring consistent low response times.

A multi-cloud strategy is appropriate for the majority of workload types. Still, it requires thorough consideration of each provider's capabilities to select the optimal performing option for each use case.

●       Workload Audit 

Companies must comprehensively audit all applications and associated data across their infrastructure to determine the most effective cloud strategy. This assessment considers integration requirements, regulatory obligations, usage patterns, and data gravity to determine cloud readiness for each workload. Based on the identified classification, the audit then coordinates the allocation of resources between on-premise infrastructure, public clouds, or a combination based on the identified classification.

●       Security

While most cloud platforms provide robust security controls, some sensitive workloads involving personal data, intellectual property, or compliance with industry regulations may require more stringent on-premise governance and access restrictions. A hybrid model permits the maintenance of stringent security and supervision for such systems along with public cloud resources, but integrating policies across environments increases operational complexity.

●       Training Needs

Transitioning to new cloud-based models necessitates investing in personnel to ensure they possess the skills to manage emergent technologies and platforms. The scope of this training program and budgets and timelines influence the adoption rate; hybrid deployment may require less adaptation than multi-cloud. This aspect of organizational change management must be considered when selecting a cloud strategy.

Select a Reliable Partner to Assist in Building Optimal Cloud Strategy

Ultimately, selecting the optimal cloud computing strategy is determined by a company's specific objectives, risk tolerance, and IT infrastructure. A hybrid model offers the best of both worlds by preserving control over critical systems while leveraging the scalability and efficiency of the cloud. On the other hand, a multi-cloud strategy maximizes flexibility via cloud-first operations. Moreover, a multi-cloud strategy is recommended to avoid vendor lock-in and diversify the potential points of failure.

Mindfire, a prominent software development company, guides businesses through digital transformation journeys. Our experts can evaluate your software development requirements and recommend the optimal cloud strategy. Moreover, we provide customized solutions for the development of cloud-native applications, the migration of existing workloads, and the management of multi-cloud or hybrid cloud environments. So, are you prepared to harness the power of the cloud? Contact us today and explain your business needs to create an optimal and sophisticated strategy to meet your goals!

Choosing the Right Partner: Factors to consider while outsourcing your Cloud Development

Businesses focusing on their core strengths and simplifying their processes in today's fast-paced business world to drive growth and productivity. Cloud outsourcing has enabled businesses and organizations to connect to various services and resources via the Internet without physical infrastructure.

Outsourcing your cloud development will deliver managed cloud services for business. Your business will benefit from the experience of R&D partners while you can focus on your other IT service projects. Let us look more closely at what cloud development outsourcing and the factors to consider while outsourcing your cloud development partners.

Understand Cloud Development Outsourcing

Outsourcing cloud development involves leveraging third-party provider services to develop and manage your cloud infrastructure. It covers the development, deployment, and upkeep of cloud-based programs and services.

The cloud service provider handles day-to-day cloud computing, interoperability, security, regulatory compliance issues, and processing enormous volumes of data in real-time, helping individuals to focus on their core business operations. Since cloud services are hosted and managed by third-party cloud computing vendors, users can benefit from scalability, pay-per-use billing, high availability, and resource flexibility. Therefore, there is no need for expensive onsite infrastructure maintenance.

Different Categories of Cloud Services

Cloud services can be broadly classified into four categories:

1.      Servers, storage, and networking are examples of the services the cloud computing service provides, known as Infrastructure as a Service (IaaS).

2.      Developers can create, test, and deploy applications using Platform as a Service (PaaS), a cloud-based solution, without worrying about the supporting infrastructure. 

3.      Software as a Service (SaaS) is a cloud service model where software applications are hosted by the service provider, typically on websites. 

4.      A FaaS solution (Function-as-a-Service) enables programmers to deploy specific procedures or lines of code in the cloud and have them run in response to specific occasions or other triggers.

Benefits of Outsourcing Your Cloud Management

Here are some advantages of outsourcing cloud development to help you make that choice:

●       Cost Effectiveness

By contracting out the administration of your cloud development, you may get the best outcomes at the most affordable prices. By collaborating with a reliable cloud service provider, you can manage and lower the cost of network maintenance.

●       Streamline Operations

You may streamline your operations by outsourcing cloud development so that a third-party supplier will take over the daily administration of your cloud infrastructure. As a result, you have more time and money to concentrate on your primary business areas.

●       Enhance Security

Outsourcing your cloud IT services might help you increase security by employing their security knowledge. They will have the resources and expertise to implement best practices and ensure the data is secure from potential threats.

●       Maintain Your Lead

You can keep your lead in a changing market by outsourcing cloud development. By collaborating with a team of experts, you may have access to the newest technology with the most effective business procedures.

Understanding Key Factors while Selecting Cloud Development Outsourcing

Consider these factors when evaluating cloud service providers so you can determine which one to work with after a thorough evaluation:

●       Security

Businesses' top priority when considering cloud data storage is security. Therefore, you should evaluate each cloud service provider's cloud security capabilities and procedures to see if they can satisfy your organization's security needs. You must also confirm that they adhere to industry standards like ISO 27001.

●       Cost

Pay-as-you-go billing is the norm for cloud services, so you only have to pay for the resources you use. However, as different cloud service providers have different pricing structures, you must compare their costs before choosing one. You should also consider other elements that could affect the cost, such as bandwidth, cloud storage architectures, and support and maintenance services.

●       User Experience

User experience is another important factor to consider when using cloud services. The last thing you want is your staff to waste time learning how to use cloud computing platforms or applications. The cloud service provider must provide a simple and user-friendly interface that makes it easy to use by your employees and clients.

●       Functionalities and Features

Certain cloud service providers will provide varying features and functionalities. Before selecting a cloud provider, evaluate your company's needs and choose the one that can provide the features and functionalities you need. Making a list of every feature you require and selecting a few cloud service providers based on that list will be very helpful.

●       Support For Clients

Issues and problems will always arise, no matter how excellent a cloud service provider is. Choosing a cloud service provider also requires careful consideration of customer and technical support. The level of customer service provided by cloud service providers can vary greatly. Checking customer reviews of a cloud provider's services or getting in touch with the team to see how responsive they are will help you gauge the caliber of their customer support.

●       Migration and Implementation Support

The ability of the cloud service provider to assist with the implementation and migration process is another important aspect to consider. The last thing you want is to choose a platform that is too challenging to set up or migrate to. An essential consideration is choosing a cloud provider that can provide expert services to assist you throughout the entire process.

●       Release Cycle

It takes time and effort to set up a cloud environment. You will occasionally need to update and upgrade your system to keep up with the most recent trends and technologies. The stability of your cloud system will, therefore, be directly impacted by the release cycle of the cloud service provider. Although a cloud provider with a long release cycle is typically more reliable, it might not always be able to provide the most recent features and functions.

●       Exit Strategy For Vendors

Vendor lock-in is when switching from one service provider to another is difficult. Contract limitations, customized services, and exclusive technologies you order from the cloud service provider frequently cause vendor lock-in. Therefore, companies should utilize services that do not restrict their portability when switching vendors and migrating their data.

Mindfire - Your Outsourcing Cloud Development Partner!

Outsourcing cloud development might be a smart move to boost security, reduce expenses, and simplify processes. Cloud development outsourcing and scalability challenges are something Mindfire is familiar with. We provide a comprehensive range of cloud development and data engineering services to design, develop, and maintain your cloud-based apps and services seamlessly. Our qualified team of engineers is available to build an effective strategy to meet your business requirements, facilitating smooth data migration and maintenance of cloud systems. Connect with our experts today and discuss your requirements.

Distributed Order Management

 

Executive Summary

The project dealt with developing a cloud-based software product for retailers. The primary aim was to offer them a cost-effective system to manage their operations efficiently at lower costs and in a comprehensive manner. Retailers using this platform get over the hassles of having to deal with multiple software applications to handle the complex activities of sales, inventory and order fulfillment. Infact, with the flexibility that is offered to them, retailers can focus their energies and time more on building their core capabilities and not get caught up in otherwise managing a multitude of activities lacking synergy and draining them of resources and time. They become better positioned to meet the demands of a fast-growing omnichannel customer base. The product is very easy to configure and can be scaled up depending upon the need of its users. Being cloud based makes it highly cost effective too.

About our Client

Client Description: Confidential

Client Location: USA

Industry: Retail

Technologies

Tech Tags: PHP, MySQL, jQuery, Ajax, Bootstrap, Sphinx, SOAP & REST APIs

ECommerce Platforms: Big Commerce, Magento, Shopify, and Zoey

Market Places: Amazon, eBay, Walmart

Payment Gateways: Authorize.net, PayPal, Braintree

Shipping: Endicia, FedEx, Pitney Bowes, UPS, and more ship station

Version Control: GIT

Download Full Case Study

 

Ordering App for Merchants

 

Executive Summary

The project involved developing an android application for a tablet which is a part of a kit. This kit is used by merchants/shoppers to place orders for products and also to raise top-ups requests. In a B-to-B setup, this application automates the process of raising orders; thus offering convenience. It also enables them to avoid losing out on getting the financial benefits from discounts and offers due to lack of awareness or time lag in responding.

About our Client

Client Description: Confidential

Client Location: Ireland

Industry: Retail

Technologies

Android SDK (v4.1 and above), Android Development Tools v24.1.2, SQLite Database, USB Accessories, Printer,PHP, Symfony, Doctrine and Mysql

Download Full Case Study

 

What development capabilities you should look for in a Java company?

Most of the blogs on topics similar to this one on different forums try to include a bunch of companies wherein they mention about the company’s strengths and weaknesses. Usually such blogs have a hidden agenda to promote their own companies.

It is critical to choose the right outsourcing partner who can offer the appropriate skillsets and suitable engagement models for your projects. If you need to make a decision to outsource Python related projects, let’s take a look at some important aspects you should be familiar with. We have tried to capture the essence of each of these parameters below.

Today, Python is among the most prominent programming languages. It has gained global popularity, whether it’s about building an AI and ML application or even an app with Django web development.

You can use Python to build scalable and rapid web applications and software development. From B2C web apps to ERP apps, a Python development company can develop all sorts of applications for you.

If you want to hire a python development company to outsource your project, first, you need to know what it takes to choose the best one out of many. While many articles talk about the list of companies, we talk about how to find the best fit. Read on to know the necessary information before you reach out to outsource any company!

1. What development capabilities you should look for in a Java company?

a. Data Analysis

Data analysis using Python inspects, transforms, cleanses, and models data to discover useful information and form conclusions.

b. Software Prototyping

Software prototyping is the activity to create prototypes of software applications; incomplete versions of the software program which is being developed.

c. Custom Python Development

Get a team of Python developers who can dedicatedly work for your customized project and offer the best Python application.

d. Python Web Application Development

The Python web developers should be skilled and have experience in developing high-performance secure Python applications.

e. Python Migration

Integrate the skills and expertise of Python developers to migrate any existing application to Python for futuristic apps

f. Enterprise Python Applications

Get the developers who offer high-performing enterprise Python applications as per the business requirements while offering unique solutions to your users

g. Python Template Design

Hire Python developers who give unique and interactive Python templates for any feature-driven app development

h. Python Support & Maintenance Services

The hired team should have performance and quality solutions. For the same, get access to the best maintenance and support services.

i. AI & ML

Machine Learning is a new step in the direction of artificial intelligence (AI). It is a program to analyze data and learn to predict the outcome. Python has multiple frameworks and toolkits to develop AI & ML Solutions.

j. REST API Backend

API backend is a new way for developers to link their software with applications to cloud-based storage. It makes it easier to link up with APIs and software development kits.

2. What Skills Should Python Developers Have?

a. Pyramid

Pyramid is a lightweight, flexible, and open-source Python framework that aims at creating web applications with ease.

b. Web2py

Web2py is helpful for the rapid development of scalable, fast, database-driven secure web applications. It is a full-stack, open-source framework.

c. Flask

Flask is among the most popular, extensible Python microframeworks used to build fast and reliable web applications with Python.

d. CherryPy

CherryPy is an object-oriented HTTP framework that uses the Python programming language. It offers synchronous request support and is designed for rapid development.

e. TurboGears

TurboGears is a Python web application framework that has several WSGI components such as Genshi, WebOb, SQLAlchemy, and Repoze.

f. Zope

Zope is a free, open-source web application server in the object-oriented programming language Python.

3. Why Outsourcing Is Better?

When you operate in-house, you must be conscious that it will cost you money. Python framework is very accessible; however, you will ultimately spend more time and money to make everything work right. Let’s dig into this further.

a. Manage Your Money Better

Like said above, outsourcing is cheaper. But why? It’s because you just pay for the team you hire. The web framework or other resources are usually handled by the company. This makes it more cost-effective than using your resources for the objective. Since these developers are already armed with the necessary training, you have one less expense there too.

b. Get Quicker Results!

Also, you save time. This is because the Python development services are a highly oiled machine that’s ready to go anytime. They already know how to optimize efficiency and streamline things, so you get the results you want in the least time frame, whereas an in-house team would navigate a lot of trial and error to put things in order.

c. Long Term Support

Another benefit is that an in-house team will need to learn on the go. So if any problems arise up, they’ll need more time to troubleshoot and run diagnostics.

Professional Python developers have useful insight to help you at all times. If you run into an issue, you can just call them, and chances are they’ll immediately know how to can fix it.

4. Roles and responsibilities of a Python Development company

Simply put, they do all the work for you. There are top-notch experts in programming languages who can implement Python into your business on your behalf. Since the technology is highly versatile, these development teams offer a wide range of services.

These are typically:

● Debugging project

● Design and deploy mobile and web apps

● Develop web framework for coding

● Website development right from inception to publishing

● Incorporating artificial intelligence or machine learning capabilities

● Advising and suggesting based on data analytics

Remember that this list isn’t exhaustive. Python developers can accomplish a very diverse number and types of tasks. So if your business needs a service that is not listed, it’s not an issue. Just tell the team you what you need, and they’ll get right on it.

This is arguably the biggest benefit of working with this language. A big room for versatility exists, and programmers aren’t confined in any way. That’s why a large number of possible applications exist.

Looking for a Python team:

You must find an outsourcing company with a quality experience, adaptable approach, risk assessment knowledge, trustworthy communicators, and other additional benefits. As for the skilled web developers, they must be fluent in:

● Python syntax and semantics

● Rudimentary Python concepts

● Deep knowledge about object-relational mappers, like Django ORM or SQLAlchemy

● Experience in coding server-side templating languages

● Understanding the popular frameworks like Django, Pyramid, or Flask

● Data sources and Ample database in one single system integration comprehension

● Front-end development skills including HTML5, JavaScript and CSS3.

5. Preparing for outsourcing or collaboration:

● If you are outsourcing an integral business project to a third-party company, you need to ensure you have a collaboration-friendly environment. There has to be an equal amount of dedication and commitment from both sides.

● Prepare a list of requirements, goals, ideas, etc. Discuss all the scenarios of the job and show them to the team.

● Make the necessary data available to the outsourced company. It should include all the files and designs that are indispensable to your project.

● Identify the dependencies between your hired outsourced company and the in-house team. Make sure everyone knows their job roles and responsibilities known.

● Hire a project manager on either side who could play a key role in managing all sprint backlogs. It can be the point of contact for both parties throughout the development process.

● Set up access tools to keep an eye on the progress of your project.

● Ask questions whenever you need clarification to avoid misunderstandings.

Conclusion

There are an array of companies all waiting to be outsourced to, but you have to understand that there is no one perfect firm that fits all needs. It greatly depends on your project and requirement. Still, out of many, these three companies are the most proficient ones that can meet most of the needs-

● Mindfire Solutions- https://www.mindfiresolutions.com/

Industries served- Publishing, Healthcare, Retail and e-Commerce, e-Learning, Transportation and Financial Services.

● Netguru- https://www.netguru.com/

Industries served- E-commerce, banking, healthcare, real estate, travel, and more

● Selleo- https://selleo.com/.

Industries served- Manufacturing, automobile, healthcare, IT, and others.

Improving ROI with Script less Test Automation

 

For the last few years, test automation has been used to develop, specify, and run tests using an automation framework. However, not every firm has access to engineers who can quickly construct these automated tests. Furthermore, when applications and products develop, there is a significant maintenance expense, resulting in poorer automation ROI and coverage.

This is where scriptless test automation comes into the picture. Businesses today may utilize Scriptless Test Automation to automate test cases without having to worry about the complexities of coding. It speeds up the time to learn and build code, resulting in a shorter time to market, a greater return on investment, and increased coverage with little maintenance.

In this article, we will discuss scriptless testing in-depth, how scriptless test automation benefits your organization and how you can utilize scriptless testing tools to streamline software development.

What is Scriptless Test Automation?

Scriptless or codeless testing, as the name implies, is a way of automating tests by using tools rather than writing test scripts. The tools are often built on test automation frameworks such as Selenium.

A scriptless testing tool can record a tester’s activities as they navigate through features on application screens. By collecting these actions, the tool will generate the same test steps for which one can typically create a test script.

As a result, scriptless testing is restricted to interacting with UI components. A tester, on the other hand, may validate end-to-end testing scenarios and guarantee crucial components are error-free.

Scriptless testing is constrained by the same constraints as the test framework it employs. As a result, it may not test things like captcha, barcodes, and so on.

Scriptless Test Automation Workflow:

Scriptless testing is accomplished through the use of record and playback. Simply said, it implies recording the activities on screen and replaying them as a test.

Consider the following e-commerce workflow:

Register or Login >> Search the Product Catalog >> Adding Item(s) to Cart >> Add Shipping and Billing Information >> Checkout & Payment >> Create a Receipt and Order Details

This complete scenario includes several features, data inputs, and third-party connectors. As a result, numerous things might go wrong as features are regularly upgraded. However, one can simply explore as if they were a user, record tests, and automate them.

Cross-browser and parallel testing are also features of several scriptless testing solutions. That is, tests can be run on many browsers at the same time.

General Features

● Traditionally, Automated Testing necessitates complicated script creation, which frequently necessitates strong engineering skill sets. Furthermore, these test scripts are “brittle,” meaning they break as the app changes or as the app runs on multiple devices.

● Test scripts may be developed in a simple “no-code” fashion.

● This is why scriptless automation tools are appealing. They provide enterprises with a low-complexity and cost-effective way to leverage the benefits of Automated Testing without the complexity or cost of script creation.

● They provide businesses a simple and cost-effective solution to take advantage of the benefits of Automated Testing without the hassle or expense of writing scripts. As a result, it is critical to guarantee the following when selecting a mobile Scriptless Automation platform:

● The test scripts can run on a wide range of devices and operating systems without causing problems.

● Test scripts might be exported in an open standard format to avoid vendor lock-in.

Benefits of Scriptless Test Automation

The Advantages of Scriptless Test Automation are as follows.

● Less coding experience -

It is not required for testers to have programming or scripting expertise.

● Catalyst between business analysts and technical experts -

Aside from testers (who are the primary users of Scriptless automation), the framework may also be extended to Product Owners (in the Agile era) and Business Analysts for setting up and conducting User Acceptance Tests (UAT).

● Reduced time to automation -

Automated tests that are more quickly developed and properly integrated into the Agile approach.

● Agile -

It provides versatility for both novice and experienced users.

● Quicker development -

There would be fewer ‘test’-related issues because the underlying scriptless framework would have been fully tested. As a result, the time spent troubleshooting and addressing test-related errors is reduced.

● Easy maintenance -

Maintenance of the complete automation suite is simplified.

Challenges with Traditional Automation Testing

● Maintenance issues: As the AUT changes, automation components must transform on a regular basis, update scripts, and so forth.

● Change of focus: the testing team’s goal has shifted from testing the application’s functionality to technical development and script execution.

● Less coverage of automation tests: Due to the maintenance overhead and human coding, automation tests have lower coverage.

● Poor testing procedures: If testing approaches aren’t up to standards, such as poorly organized tests, inconsistent documentation, and tests that aren’t particularly successful at discovering defects, automation isn’t always the best solution.

● False feeling of security: Just because the test suites don’t uncover any flaws in the program doesn’t mean there aren’t any. This is critical because if the tests themselves have flaws, the results will be erroneous. Those erroneous findings will be saved indefinitely by the automated test.

Best Scriptless Test Automation Tools based on different approaches

When selecting an automated testing tool, seek one that is versatile and supports a wide range of applications and languages. This will allow your team to participate in your testing efforts regardless of their experience or skill level. These frameworks have evolved significantly throughout the years. Let’s look at some of these tools based on different approaches:

1. Keyword-driven approach: It is a functional automation testing framework that is sometimes referred to as table-driven testing or action word-based testing. In keyword-driven testing, we set keywords or action words for each function that we want to perform in a table format, generally a spreadsheet.

Ex: — Robot Framework

This is an open-source automation framework tool that is well-known for Acceptance Test Driven Automation, Robotic Process Automation (RPA), and Acceptance Testing.

Features:

● This tool employs the keyword-driven testing technique with simple tabular test syntax.

2. Model-based approach: It rapidly scans the application’s UI or APIs to create a business-readable automation model. That makes it 4X faster than coding. This approach follows the strategy of developing or specifying an application or platform that is based on the use of software models.

Ex: — Tosca

Tosca is a software testing tool for automating end-to-end testing of software applications. To test GUIs and APIs from a business standpoint, Tricentis Tosca integrates many components of software testing.

Features:

● It creates codeless, robust automated tests using a novel technique that isolates an application’s technical knowledge from the automation model.

● It allows you to increase automation rates to 90 percent or higher, decrease maintenance costs, and enhance productivity.

3. AI-powered object recognition engine approach: This approach is concerned with AI systems’ ability to distinguish various items and entities. Object identification enables AI algorithms to recognize and extract items from inputs such as video and still camera photos. These tests can be recorded, scripted or manually created with keyword-driven operations and native support for BDD (Behavior-driven development).

Ex: — TestComplete

TestComplete enables testers to write automated tests for Microsoft Windows, Web, Android, and iOS apps.

Features:

● TestComplete may perform many automated tests on different workstations.

● It records the important activities required to rerun the test and eliminates those that are unnecessary.

4. Behavior-driven test creation approach: This is a testing methodology that adheres to the concept of specification by example. The goal is to explain how the program should act in a very basic user/business language. It writes tests in plain English language from the end-user perspective.

Ex: — TestRigor

TestRigor leverages AI to assist its customers reduce test maintenance by 200X, accelerate test creation by 20X, and enable human QA to design tests in plain English as an executable language. In addition, end-user analytics is utilized to develop tests that match the most commonly used end-to-end scenarios from production.

Features:

● In less than 15 minutes, one may complete a full retest.

5. GUI Test approach: is defined as the process of confirming the appropriate operation of a particular application’s graphical user interface (GUI) and ensuring that it corresponds to its specified standards.

Ex: — Squish

Squish is a market leader in graphical user interface testing. It has a number of excellent features. It is cross-platform and extremely versatile, capable of automating Windows, web, Android, iOS, and Java.

Features:

● It supports a number of programming languages such as Ruby, JavaScript, Python, and Perl.

Conclusion

Scriptless testing might be a viable alternative for organizations facing difficulty automating tests. It has several advantages over traditional test automation approaches. With applications getting more complicated, scriptless test automation is emerging as a cost-effective solution.

Like other businesses, if you too are looking to develop scriptless test automation solutions, Mindfire Solutions can be your partner of choice. We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.