Page not found – mobatia – mobile app development company https://mobatia.com Let's Talk Apps Wed, 15 Jul 2020 07:45:12 +0000 en-US hourly 1 https://wordpress.org/?v=5.4.2 https://mobatia.com/wp-content/uploads/2018/01/cropped-favicon-50x50.png Page not found – mobatia – mobile app development company https://mobatia.com 32 32 BENEFITS OF ARTIFICIAL INTELLIGENCE IN MOBILE APPLICATION DEVELOPMENT https://mobatia.com/what-is-a-web-developer/ https://mobatia.com/what-is-a-web-developer/#respond Wed, 25 Sep 2019 13:25:59 +0000 http://themes.axilweb.com/wp/cynic/modern-big-digital-agency/?p=1404 ARTIFICIAL INTELLIGENCE Artificial intelligence is also called Machine Intelligence. Artificial Intelligence means intelligence displayed by machines in contrast to the intelligence displayed by humans. There are three different types of artificial intelligence such as Analytical, Human Inspires and Humanized artificial intelligence. Analytical AI is associated with the cognitive intelligence in which the learning is based

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ARTIFICIAL INTELLIGENCE Artificial intelligence is also called Machine Intelligence. Artificial Intelligence means intelligence displayed by machines in contrast to the intelligence displayed by humans. There are three different types of artificial intelligence such as Analytical, Human Inspires and Humanized artificial intelligence. Analytical AI is associated with the cognitive intelligence in which the learning is based on the past experience to make their future decisions. Human Inspired AI is associated with cognitive as well as emotional intelligence which understands the emotions of humans and consider it in the decision making and at last Humanized AI has the elements from cognitive, emotional and also social intelligence and able to be self-conscious and self-aware in all the interactions. Some of the benefits of artificial intelligence in mobile application development are listed as follows: 1. AI HELPS TO MAKE THE TIRESOME WORK FAST People will be annoyed by performing the same work repeatedly. Al makes a relief for that by making the tedious work quick and fast. With the careful automation AI can work for a long time with decrease in their capacity to be productive. By reducing these types of tiresome works the people and these apps can concentrate on more significant tasks. 2. AI MAINTAINS ACCURACY The app development process includes highly complex and logical numbers. Thus a small error in this would affect the whole process of developing. With the help of AI in this, there will be low chances of getting the mistakes the output will be in utmost accuracy and precision. 3. EASY USE OF CROSS PLATFORM Mobile application requires coding and designing by one or more people. With the use of AI all these can be done. AI has made all these with the development tools and this allows a person to learn the methodologies to develop a mobile app with little awareness. 4. EXPLORING UNKOWN REGIONS There are areas on earth which are difficult for the humans to explore. Ocean surface is such an area where human cannot explore because of the pressure in the surface. AI helps to withstand this. Intelligent robots made with specific materials can be used to overcome this pressure and explore these regions. 5. DAILY USE OF AI AI can be used in daily application. AI can be used in travel and tourism application which helps to detect the locations that makes more comfortable for a person to make a travel. AI also helps in correcting the spelling and helps for predictive writing in messaging apps. It also helps in detecting images of a particular person in the social media applications. 6. AI HELPS IN AUTOMATED REASONING Automated reasoning helps to solve problems within a short period of time. For example, taxi app uses AI to find the shortest routes to drop down the customers. It can be done by the algorithm that gathers data from other cab drivers who have travelled in the similar routes. 7. AI HELPS TO UNDERSTAND BEHAVIOUR PATTERNS AI in mobile app helps to understand and identify human behavior pattern. Natural Programming Language (NPL) with the combination of Machine Language (ML) makes better interaction according to the user preferences. For example YouTube, Netflix etc. gathers data about the users past behavior based on their searches and if put forward recommendations for them. 8. AI HELPS TO DEVELOP CODE CREATIVELY AI helps the app developers to understand more create ways to develop a code. App developers who can grasp AI more effectively can develop unique code. It reduces the development time for an app, eliminates time consuming operations. USAGE OF AI IN MOBILE APPS Some of the usages of AI in mobile apps are: 1. SPEECH RECOGNITION AI in mobile helps to automatically and accurately recognize human speech. For example, Siri in iOS recognizes the human sound and helps them by reverting with the accurate response for their enquiries. 2. CHATBOTS Chatbots also respond to human enquiries. They depend on machine learning and Natural Language Programming (NLP). Chatbots can store the enquiries even though it went online and reply back when it back to online. 3. BIOMETRICS Biometrics is a technology used in AI which helps to identify and analyze the human behavior, physical aspects such as shape of the body via working with images, sensory recognition, voice recognition etc. AI APPS IN iOS 1. CORTANA Cortana carry out many activities including scheduling meetings, sending emails etc. It records favorite aspects of the users and update with relevant information about the same. It also responds to the users with answers according to their queries. This app can also be used on android. 2. AIRPOLY This app is mainly designed for the visually impaired person. It has the ability to identify three objects at a single second. The app can be able to see and think according to the user preferences. 3. REPLIKA Replika is a messaging app in iOS platform. It acts like a human for the user rather than the bot by replying to the user questions. It helps the users to find how they sound in messages to others. It also listens to the users voice recordings and responds to it. This app also works on android. AI APPS IN ANDROID 1. GOOGLE ALLO Google Allo is a voice based messaging app where users can send messages via recording their voices. It also converts voice to text according to the convenience of the users. It also helps the users to express their emotions and feelings through emojis and stickers. It hides the search history using the incognito mode. 2. ROBIN Robin is another AI app used on android devices. It is another messaging app via voice. It reduces the work of actual typing and helps the users to compose text messages. It includes the GPS navigation. It updates the user with information on traffic signals, twitter news, weather forecast and also even helps to find a parking place. 3. SIFTR MAGIC Siftr Magic is another AI app used on android device. It helps to identify the junk photos in the device that they believe not important to the users. It helps the users to reduce the space in the device.

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USE OF BLOCKCHAIN TECHNOLOGY IN HEALTHCARE https://mobatia.com/what-does-a-web-designer-do/ https://mobatia.com/what-does-a-web-designer-do/#respond Fri, 25 Aug 2017 12:41:31 +0000 http://themes.axilweb.com/wp/cynic/modern-big-digital-agency/?p=1400 Blockchain is found by a person called Satoshi Nakamoto (it may be a group of people, identity is unknown for the name) in the year 2008. Blockchain is an open distributed ledger that record transaction between two parties efficiently and effectively. Blockchain is managed by a peer to peer network in which the data is stored in like “first

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Blockchain is found by a person called Satoshi Nakamoto (it may be a group of people, identity is unknown for the name) in the year 2008. Blockchain is an open distributed ledger that record transaction between two parties efficiently and effectively. Blockchain is managed by a peer to peer network in which the data is stored in like “first time write and then read only” manner. The data stored in the blockchain cannot be modified or deleted unless validated by all the users in the network. Also the data in the blockchain is added in a chronological order and is cryptographic. Blockchain invention was made in Bitcoin and it was the first digital currency without the need of any trusted authority or the central currency. Blockchain was considered as a payment rail. Working of Blockchain Blockchain is a peer to peer network technology and has three components:
  • Distributed Ledger:
The blockchain consists of blocks and it consists of network participants/members/users. Each member in the network stores an identical copy of the blockchain and they are authorized to validate and certify the digital transactions in the network.
  • Shared Ledger:
The users in the network record the digital transactions that took place in to the shared ledger and they verify those transactions. Once the majority of the users validate the transaction, it is added to the shared ledger.
  • Digital Transaction:
Each data that are stored in a blockchain are taken as a digital transaction and each transaction is arranged into a block that contains a cryptographic hash to add transactions in a chronological or linear order. Listing out the five ways to benefit the healthcare industry with the blockchain technology:
  • Patient Records:
The patient records including the disease registries, treatments, lab results etc. are added in a longitudinal way in the blockchain. Thus helps the health care sector to deliver better care for the patients.
  • Patient Database:
In the healthcare industry, there is often a chance to get the records to be duplicated or mismatched. Here, blockchain helps the entire database of the patients to be entered in a ledger. Thus when the user look for the address in the database, even though there are multiple addresses, it will all yield to a single patient identification.
  • Supply Chain Management:
The blockchain network in the healthcare industry helps the organization to monitor the supply demand cycles through its entire life cycle. That is, it monitors how the transaction takes place, whether the contract is successful or not, is there is any delay etc.
  • Interoperability:
Interoperability is a characteristic of a product or system whose interfaces are completely understood to work with other products in the present or future in either implantation or access without any restrictions. In the blockchain network, being the information shared with the authorized providers in a secure way, it would eliminate the cost and burden of the related data reconciliation. Blockchain can transform revenue supply management, drug supply management, clinical trials and prevent frauds.
  • Claims Adjudication:
It relates to the insurance and claims that are related to the patients. As the blockchain is based on the validation, the claims are automatically verified where the network agrees upon the way a contract is executed. Also, since blockchain does not have any trusted authority or central server, there may be fewer errors or frauds.

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HOW TO SECURE ANDROID APPS https://mobatia.com/what-do-you-do-as-a-web-developer/ https://mobatia.com/what-do-you-do-as-a-web-developer/#respond Fri, 25 Aug 2017 11:44:04 +0000 http://themes.axilweb.com/wp/cynic/modern-big-digital-agency/?p=1381 Application Sandboxing, Protection against buffer and overflow attacks are some of the security features that an android operating system has, so the simple android apps that do not perform any file system or networking operations can be considered secure by default. As for complex android apps, it is the developer’s and the user’s responsibility to

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Application Sandboxing, Protection against buffer and overflow attacks are some of the security features that an android operating system has, so the simple android apps that do not perform any file system or networking operations can be considered secure by default. As for complex android apps, it is the developer’s and the user’s responsibility to make it secure and protect the privacy of the users. Note: Application Sandboxing is an approach to software development and Mobile Application Management(MAM) that limts the environments in which certain code can execute. It is also called as Application Containerization. Some of the best practices to secure android apps are:
  • To Store Sensitive Data Use the Internal Storage:
Every android app has an internal storage directory whose path is based on the package name of the app. They use Mode_Private to secure files inside this directory. This means that the files in an app cannot be accessed by any other app or device. getFilesDir( ) method is used to ascertain the absolute path of the app’s internal storage directory. Once you know its path, referencing files inside it is simple as referencing files inside any other directory.
  • Store Encrypted Data in External Storage  :
There is limited internal storage in an android app. So at times it is better to store sensitive data on external storage media such as removable SD card. As the data in such external storage media can be directly accessed by both users and other apps on the device, thus it is important to store such data in encrypted format. One of the most popular encryption algorithm used is AES, Advanced Encryption Standard with a key size of 256 bits.
  • IPC with Intent’s Process:
Note: IPC means Inter Process Communication Sockets, named Pipes are used by the programmers of android to communicate with other apps on android. Easier and secure approach to IPC is to use the intents. To send specific data to the component of an app, the developers must create a new instance of intent class and use its setComponent( ) method to specify both the package and the name of the app. Then they can add data using putExtra( ) method.
  • Use HTTPs:
HTTPS (preferably HttpsURLConnection) is used to communicate between the android app and their servers. The network traffic will be secured as the server is configured with a certificate issued by trusted certificate such as Digicert or GlobalSign. The network traffic should be secured against eavesdropping and man-in-the-middle attacks.
  • Use GCM instead of SMS:
SMS Protocol is neither encrypted nor safe against spoofing attacks. SMS can be read by any app in the user’s device with a Read_SMS permission. GCM is lot more secure than SMS to push messages to an app as the communications are encrypted. They are authenticated using refreshed registration tokens on client side and a unique API key on the server side. Note: GCM, Google Cloud Messaging
  • Personal Data is Avoided:
A better approach to user identification and user profile information look up on android is through Google Identity Platform. This platform allows the user to quickly sign into the app using their Google account and thus, the app can easily access the user details like username, email address, contacts, profile photo etc. To handle the credentials by the user itself, they are recommended to store and transmit them in the form of secure hashes. The way to generate different types of hashes using Android SDK is by using MessageDigest class.
  • User Input are Validated:
User inputs don not leads to buffer overruns in the android device. To avoid making the data vulnerable into SOL injection attacks, developer should allow the users to interact with SQLite database, thus developer must either sanitize user input or make use of parameterized queries.
  • ProGuards are Used Before Publishing :
To secure source code, the developers should make use of a tool called ProGuard which is in android SDK before publishing the app. The default ProGuard configuration publishing in Android SDK’s proguard.android.txt file is sufficient for most apps. If the developer want to add custom rule to configuration, they can do so inside a file named proguard-rules.pro which is a part of Android Studio Project.

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SWIFT Vs FLUTTER: iOS https://mobatia.com/how-to-build-a-partnership-with-your-web-designer/ https://mobatia.com/how-to-build-a-partnership-with-your-web-designer/#respond Wed, 02 Aug 2017 08:08:27 +0000 http://themes.axilweb.com/wp/cynic/modern-big-digital-agency/?p=577 SWIFT is fast and safe type programming to develop iOS apps with native tools created by Apple INC. SWIFT took language ideas from Objective C and many others. On June 2, 2014 the Apple WorldWide Developers Conference application became the first publicly released app written with SWIFT. FUTTER is an open source, multi-platform which builds

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SKY” and ran on Android operating system. On December 4, 2018 the FLUTTER 1.0 was released at the Flutter Live Event denoting the first Stable version of the framework. The comparable features that both the programming languages possess include:
  • Onboarding Process:
FLUTTER uses DART Programming Language and SWIFT uses Objective C as the programming language. In order to develop iOS apps with SWIFT, we need to use XCode as the IDE. We need to just have the macOS machine with  XCode installed. While in FLUTTER we need to have Xcode + Flutter binary installed.
  • Profiling:
Profiling is a process of dynamic analysis which measures memory, resources and other performance factors of the apps. Both FLUTTER and SWIFT have great support for profiling the apps. In SWIFT, iOS apps can be profiled using Instrumentation where in FLUTTER, we can profile iOS apps using IDE or Command Line.
  • Accessibility:
SWIFT has accessibility in UIKit framework, so there is no need to import another to enable accessibility where as FLUTTER don’t have any mature support to add accessibility, thus use Xcode’s accessibility inspector tool.
  • Application Size:
SWIFT apps are generated in .app format and can get the app artifact from CI server where the application’s binary is 23.2MB. Flutter apps are generated in build/iOS/debug iphone simulator directory where the application’s binary is 52.4MB.
  • Build Time:
FLUTTER apps appear to take a bit longer time to clean the builds than the SWIFT. The build time of SWIFT or native apps can be measured with XCode or the XCode build command line tool. SWIFT app takes about 13 seconds for clean build where the FLUTTER apps can be build in debug mode and it takes approximately 30-45 seconds for clean build.
  • Reloading:
While developing an iOS app it is required to make code changes and test in devices and this process is known as reloading. Once any element is renamed in SWIFT apps, we need to rebuild the app to check whether the changes are reflected in the app. While FLUTTER, there is a hot reload feature that makes changes in the code, reload the app and the changes are reflected in a second.
  • Building on CI Server
iOS app building can be different on local machines depending on machine configuration like RAM, disk size etc. As SWIFT is available on Github, we need to login to Nevercode using the Github credentials where in FLUTTER we use Codemagic as the official CI/CD solution.
  • Testing Support:
SWIFT provides a XCTest native testing framework for unit, integration, performance and UI testing of iOS apps. As it lacks data driven testing, grouping of tests and some other features are provided by XUnit testing framework like JUnit. On the otherside, FLUTTER provides a solid testing framework at unit, functional and UI level. Widget testing is one cool feature that FLUTTER provides to run UI tests. It provides a separate package, FLUTTER DRIVER to drive these tests.

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