Electronic Point of Sale (EPOS) systems have revolutionized the way businesses operate and interact with customers. These advanced systems provide a wide range of functionalities, including inventory management, customer tracking, and financial reporting. EPOS systems have become an essential tool for businesses of all sizes and types, as they help to streamline operations, improve customer service, and increase sales. In this article, we will discuss the various applications of EPOS systems and provide examples of how they are being used in different industries. Inventory Management One of the primary applications of EPOS systems is inventory management. These systems allow businesses ... Read More

Data science integrates math and statistics, specialized programming, advanced analytics, machine learning, and artificial intelligence (AI) with specific subject matter expertise to reveal actionable insights hidden in an organization’s data. Data science is one of the fields which has shown the quickest growth rates across all industries. This is a result of the increasing volume of data sources and data that results from them. Data Science has generated controversy among other disciplines as a field ever since it began to gain recognition. In this article we will be learning about the fundamentals of software engineering, why it ... Read More

Testing as a Service or TaaS is a process where an organization outsources its testing services from a third party. A business can rent infrastructure, buy testing tools and software on pay per use basis, or handover their entire testing responsibilities to a third-party service provider.TaaS is generally used for automated testing processes, which requires a massive amount of resources if done manually. The resources could be staff, time, money, or technology.Classification of TaaSTaaS is an umbrella covering a wide range of functional and non-functional testing procedures. It helps organizations enjoy customized and comprehensive support of an experienced testing team ... Read More

The object-oriented life cycle model considers 'objects' as the basis of the software engineering process. The development team starts by observing and analyzing the system they intend to develop before defining the requirements. Once the process is over, they focus on identifying the objects of the system. Now, an object could be anything; it can have a physical existence like a customer, car, etc. An object also constitutes intangible elements like a process or a project.Advantages of Object-Oriented Life Cycle ModelApart from enhancing the system performance, object-oriented programming offers some advantages such as:Since it is data-focused and easy to work ... Read More

Life Cycle Phases of Data AnalyticsThe Data Analytics Lifecycle is a cyclic process which explains, in six stages, how information in made, collected, processed, implemented, and analyzed for different objectives.Data DiscoveryThis is the initial phase to set your project's objectives and find ways to achieve a complete data analytics lifecycle. Start with defining your business domain and ensure you have enough resources (time, technology, data, and people) to achieve your goals.The biggest challenge in this phase is to accumulate enough information. You need to draft an analytic plan, which requires some serious leg work.Accumulate resourcesFirst, you have to analyze the ... Read More

Testing Shows the Presence of DefectsEach application must pass through a search of testing phases such as system integration testing, user acceptance testing and beta testing, etc. before they are released into production. Some form of defects will always be found, Regardless of how much testing one conducts.The core purpose of the testing team should focus on finding the defects in an application. The inspection team must use different methods to discover as many errors as they can. It helps in reducing the number of undiscovered errors in a software application. Even though the testing team fails to find any ... Read More

Both Forward and Reverse Engineering are related to the re-implementation of the legacy systems to achieve more sustainability. On the basis of the mode of creation, we can classify these modes as Forward and Reverse Engineering. Read this article to learn more about forward engineering and reverse engineering and how these two approaches are different from each other. What is Forward Engineering? Forward Engineering is the mode of development of an application in which the development is done on the basis of given requirements from the client or consumer. In forward engineering, the requirements are provided before the development ... Read More

Automation is one of the hot domain in the Information and Technology, which has become predominant topic of discussion among the IT professionals. In general, automation can be defined as the process of involving software robots or hardware robots to solve the human problems (requirements). Due to this automation, it is said that ¼th of the job will be lost in the market. But people still prefer automation for (top) 7 reasons, which is discussed in this article.Cost SavingsCost is one of the major factor in the software development cycle, which predominantly comes into picture right from the planning phase. ... Read More

When I say machine learning, it reminds me a subject for the B.Tech Mechanical stream. No this is not a session of machine learning or it’s not related to your regular subject knowledge. The topic remains the same but it’s still different. So before we go to the point why should we be bothered about what is machine learning. We should now see what is machine learning actually.What is Machine Learning?Machine learning is a subcategory or to a say, a type of artificial intelligence (AI) which gives computers, a privilege to learn without being explicitly programmed. It mainly focuses on ... Read More

In the quick changing digital world, where we are carrying digital money, shopping online, calling through VOIP and constantly being online all the time, it is difficult to work without digitization. To become an outstanding IT professional in this digital world, we may require more skills than before. Here we have identified few skills which are in high demand in the market.AI/Machine Learning ResearcherThe machine language was always there but never in demand. Research improvements to machine learning algorithms will be one of the hot skills of the future. The knowledge of machine language and Artificial Intelligence has become a ... Read More