evelopment of apps is at its highest level as you can see more than six million applications are running in both iOS and Android smartphones. This is the time when people spend most of their time on mobile applications instead of using their desktops. Any company which wants to build a strong bond with customers should go for app development marketing strategy. It can be one of the best tools which can help you to gain profit in your business. If you have taken the decision to take the help of mobile apps development process for enhancing the level of your business, then you have to give the answer of most common question. On which platform do you want your app developed: Hybrid, Cross or native platform? Without making any mistake, it is better that you choose native applications. According to senior project manager, Sahil Modan, ‘Native apps will always be far more superior to the best cross-platform apps out there’. If you have certain business planning according to budgets with which you want to reach deeper for launching various apps at once, then you can go for the cross-platform app. What’s next? There are a number of mobile frameworks available in the market but you have to select which one is best for your business app. Check out the App development frameworks which are mainly used by the developers due to native quality and easy to use a feature of these applications:
Go Native Of course, there are various application development frameworks which can help you to make the lives of Front end developers easier. You should be known with the fact that not every framework is made equal and it can’t be able to support a different kind of devices. At that time, app developers use plugins and that can have a great effect on the app performance.
Initially, your application might function well with the native capabilities but later you will come to know that application has started degrading. Crashes, bugs will be a common thing and this is the common drawback of cross-platform applications is that these can’t adapt to changes. There are some reasons due to which we strongly believe that nothing can be better than Native app development. Here are the reasons due to which native apps are a better option for you:
These are all native apps.
Interesting Things: Know about average cost to develop chat apps
0 Comments
We live in an era where we come across different innovations almost every day. Some help us with our tasks, some with daily chores and some ease up things at the workplace. And if you look closely, behind each and every innovation, the goal is the same: To reduce effort on our part and increase efficiency. Today, the word ‘manual’ sounds obsolete and anachronous in itself. No matter what area we pick, the cloud of automation is clearly overshadowing manual ways, and software testing is no exception. Although there have been debates about automation causing people to lose their jobs, unforeseeable costs, heavy one-time investment and what not, automation testing clearly is a better option in comparison to manual testing. Here’s why we believe that: Better Return on Investment (ROI) As an entrepreneur, your one and only goal should be maximizing your ROI. In manual testing, the investment figures may seem profitable to you initially, but as the project starts gaining complexity approaching its end, a number of manual testing also becomes intensive. Automation Testing, on the other hand, saves you the hassles of hiring new people, and hence, of losing funds. Load Testing Automation testing allows you to check your product under load. This is particularly helpful when you need to check how your software behaves and responds under load environment. Load testing helps you accurately determine the speed and stability of your software. In manual testing, one has to carry out performance testing, which is significantly long and tedious compared to automation testing. Answerability Automation testing is much more organized compared to the manual. Each member of the team is answerable to what they are assigned. Any error detected can easily be assigned back to the assigned person and hence, the issues always addressed on time, ensuring timely completion of the project. No Repetitions In manual testing, the software is tested every time the developer makes a modification in the source code. This costs your business, time, effort and money. Another issue with manual testing is that the software has to be tested for compatibility with each platform it runs on. On the other hand, automation testing automatically tests the software many times, on various platforms, with modifications in the source code. Efficiency in Test Case Generation Test Case Generation is often a time-consuming affair because of the requirement to create test scripts, whereas in Automation Testing, algorithms using code annotations, path analysis, and user behavior-based script writing, test scripts are automatically generated. This saves time and allows the tester to carry out more test at the same time. Early Bug Detection Manual testing allows the detection of bugs in the later stages, which is cost-inefficient and brings down productivity. Automation Testing is much more effective in this regard as it tests the software along with the development process. This makes sure the error is always detected at an early stage, maintaining the overall efficiency of the team. Reliability Test automation effectively rules out the scope of human error because it involves fewer testers. Apart from that, the same test code can be used over and over for different platforms and configurations, reducing the chances of error to a minuscule. Also Read: Uber app development cost Looking out for the perfect IT provider to handle your automation needs? Reach out FuGenX – leading a Mobile Apps Development Company Bangalore, India, by drop a mail at [email protected]. Machine learning- An extended arm of Artificial Intelligence is a perfect substitution for human with machine. Putting it in simple words, Machine Learning uses computer system intelligent for building the algorithm from learning the data generated. Without Machine learning, a programmer has to write the code to get the task done as required, but with the advancement of a Machine learning company, one can find a perfect substitute where a machine, i.e., the computer itself performs this task.
The designs of various algorithms are first developed by machines and then they are developed into algorithms in ML Company. The perfection of these algorithms is maintained through continuous testing and evaluation. This accounts for the accuracy of the algorithms developed using Machine Learning in ML companies. Delivering the Best Machine Learning Services The various best services offered by us are making us stand at peaks among the various Machine Learning Startups India. We at FuGenX, Best Mobile Apps Development Company in India, handle various advanced Machine Learning algorithms. All our developers are experts in crafting the best of artificial intelligence delivering the best Machine Learning Services. Machine learning service companies offer various help using Machine Learning (ML), which include the following
Taking a deeper insight into furthermore specifies of each service arena, Data Mining- Association Rules, Anomaly detection, predictions. While with regard to Text Analysis, it offers services like Sentiment analysis, Spam Filtration and Information Extraction. Whereas, under Image processing, the services include Image tagging, Self-driving cars and Optical Character Recognition. The services expected from a Machine Learning India include many which are explained as follows
ML for Human Resource, HR: With the help of ML, one can find it easy in tracking the applications and assessing them, find out fine talents, Track behaviour, and develop skill management and/or skill management. ML for Marketing: Helps in enhancing the various customized marketing campaigns, thereby helps in delivering the best customer based services ML for Finance: There are various benefits of ML in the finance industry which include insurance or loan underwritings, fraud detection, portfolio management, algorithm trading, news/sentiment analysis, and various other customer services. In simpler words, using ML, one can extract the maximum benefits with the existing resources. The various Machine learning consulting company offer various machine learning and data science services to businesses. These services are extended with the help of officially available data to the web. With the help of Machine learning, it is possible to analyze the user behaviour and develop respective models which are learnt and developed as data, enhancing the user active growth. From the client point of view, these ML services serve in two ways, viz understanding the intention behind the query and then delivering the relevant results for it. Artificial Intelligence and Machine learning are deep penetrating into our lives especially in a mobile/ internet search. The fact that one has to accept is that though computers can do the job as humans, they are not the complete and perfect replacement for humans. Yet, these computers with the help of AI and ML are extending a friendly environment for easing the tasks. Also Read: Average cost to develop marketplace apps |