How automation enables teams to develop, test and deploy quality applications faster?

Every company owner needs a product that is error free. A product having bugs and errors could not satisfy a single user. Quality of product is the key factor of success of business whether it is small scale or large scale. Automation is a part of our daily life. Not only daily simple repetitive tasks but also highly skilled tasks are slowly getting automated. Automation saves millions of dollars and time in development and deployment of software product because of the benefit of build once and use multiple times. Automation is software development helps the development team to minimize errors and thus increases the productivity. IT automation is the use of instructions to create a repetitive process which replaces IT professional’s manual work. There are some automated tools available for development and testing.

How automation affects processes?

IT automation is depends on software tools to define and execute a series of actions that can be called by manually or by an external trigger. IT automation replaces the series of actions and responses between administrator and IT environment. Complex IT automation can be carried out by combining multiple scripts into a series. These automation processes are more helpful when they replace the administrators frequent task. This saves the time of administrator which is utilized for decision making.

There are some automated tools/frameworks available for development and testing and deployment.

1. Prebuilt Software-

It is difficult to estimate the cost of development of a new project. But it can be easily calculated by using a prebuilt framework such as CMS, pre-built shopping carts. Sometimes there is a risk of increase in cost or delay in deployment due to poor design compatibilities or errors in code. These Pre-built software is built to remove these errors and problems. It provides ready made features that minimizes the cost of development as these features don’t need to be coded again.

2. Validation and Testing Automation-

The testing can be done repetitively so that the bit of software is bug-free.  The testing can be done in parallel with development to reduce the further bugs. No manager would like to deliver untested product.Untested product costs more than tested because it requires more support. Automation of testing helps to not only validate the workflow but also to detect the errors. Automation testing means the automation of mechanism of repetitive and necessary tasks in a testing process that will be difficult to be done manually.  

Advantages of automation testing-

• Easy and early detection of errors.
• GUI testing can be achieved at multiple browsers and platforms thus reduces the bugs in less time.
• Continuous testing and API driven testing detects bugs in multiple releases.
• Bug free product at each release.
• Increase productivity
• Saves money
• Greater consistency

3. CI/CD for release control-

The concept of continuous integration is to find bugs and issues quickly and provides each developer feedback on their work and rapid fixing of bugs. Build creation is a tool to validate application to make it free from bugs or errors and free from a breakage. This is carried out for each run of build creation.Whenever build fails, the failure reasons are identified and report is sent for bug fixing.

When to automate an application?

• Large and sensitive projects.
• Access the application for load and performance with many virtual users
• Requirements do not change frequently
• Obtainability of time
• Projects that need to test the same areas often

Automated testing Tools-

Automation Testing

1. Selenium-

Selenium is popular among all the automated testing tools. It is designed to support functional aspects of web based applications and wide range of platforms and browsers also.

Features of Selenium-

• It supports many programming languages like Java, Python, C#, Perl, PHP, and JavaScript and even more.
• Selenium also supports parallel test execution.
• It requires less resources as compared to other tools.
• Test cases prepared using selenium can be executed on any OS.

2. Ranorex-

Ranorex is all in one tool for cross- platform test automation. It is easy to use for beginners with codefree click-and-go interface. This is powerful tool with full IDE. It has a large user community.

Features of Ranorex-

• It automates challenging interfaces like SAP, ERP, Delphi and legacy applications.
• Run tests in parallel or distribute on a Selenium Grid
• Cross-browser testing
• Reduced maintenance

3. Waitr-

It is open- source cross- platform web application testing tool. It is more reliable and also flexible tool of ruby libraries for web browser automation. This testing tool interacts with browser likewise that of human, for eg., click the links, fill the forms and validate text.

Features of Waitr-

• It is free.
• Waitr is lightweight and powerful tool.
• It has an active and also growing community for support.
• It supports multiple browsers on multiple platforms.

Benefits of automation-

1. Speed-

IT operations includes a number of different tasks. Automation helps to perform these tasks rapidly than manual. Automation helps administrators from time spent on routine tasks, so that they can invest their time on more important tasks such as decision making.

2. Accuracy-

Errors lead admins to invest extra time to troubleshoot and repeat the work process to get it right. IT automation allows an IT professional to build accurate sequence of operations that can be run N number of times in an effective manner.

3. Flexibility-

There will be change in processes as technologies changes. Automated processes remain static until it manually changes. Organizations should have a workflow to update and revalidate automation processes. This helps to track the changes in tasks.

If you are new to software industry know the types of testing at our blog- Alpha, Beta and Gamma Testing- What is the difference?

Automation is a key to success-

Using automation for development, testing and deploying, you will be at a mechanism in which you always know the state of software. It is important to think and note that whether changing in a code causes more errors or not. It can be easily done by automated process and is beneficial to the production. You can safely develop new functionalities without worry about breakage of any functionality. This directly means that you are eliminating the risk of breakage of anything, and if you find any issue, you can fix it.

Need to develop a software for your business? Then you are at the right place. Solace expert’s will help you to develop a software that meets your requirement by using automated tools. So you can get your software within less time and money with high accuracy. Contact us for software development which gives exponential hike to your business that it deserves.

How to Develop Internet of Things (IOT) Applications?

The term “Internet of Things” refers to a homogeneous network that connects the real-world objects around us and exchanging information between them without human participation. The interconnection can include any kinds and combinations of cable (twisted pair, coaxial, power supply) and also wireless (Wi-Fi, Bluetooth, NFC, cellular) links. Internet of Things is a popular concept in mobile software development. IoT solutions simplifies our day to day life. There are various regions for the usage of IoT. These can manage smart homes, medical facilities that automatically diagnose and also determine treatments based on the results of surveys, or logistic companies that track the real time location of their vehicle. That’s why many IT companies are focusing to this immense segment of software development and also the demand and cost of developers building the software increases. 

Here you can see Principles, stages, options to develop, tools, areas of developing IoT.

5 Main principles that you should consider before creating an application-

1. Safe collection of Data-

Data is collected outside of the usual data transmission networks with the help of special equipment. Hence it is important that this data should be safe. It is necessary to think about the ways of protecting such received information (in particular, the integrity and security of the initial settings in such devices, and mechanisms for the sensitive data encryption).

2. Organize high performance data-

Data collection system consists of many electronic devices. Hence organizing large volume of data from these devices is necessary. So consider the mechanism that can easily and effectively collect and organize the massive data.

3. Create an IoT platform-

IoT platform is a set of software tools that not only helps to collect data but also to organize it from electronic devices.

4. Develop an IoT solution in the cloud- 

Cloud storage are to ensure the quick deployment of processed data to a user device and also to organize storage. These systems can guarantee the effective operation of IoT application with minimum operating cost and requirements for carrier networks.

5. For effective data management-

Such solutions can guarantee the rapid delivery of processed results to end users even at the case of data collection devices failure.

Stages of developing an IoT application-

1. Select centralized data storage-

A cloud storage is best for accumulation, systematization and further analysis of collected data. Cloud solutions are perfect from the perspective of providing efficient data transmission over low-speed networks.

2. Develop server side data handling algorithms-

IoT applications offer extensive functionality for sorting and also analyzing the collected data. This allows for the creation of high-performance, intelligent and scalable backend.

3. Create Front-end-

Mostly all recent platforms for IoT application development allows the creation of full-featured, also user-friendly front-end application interfaces with advanced functions.

Best Options to develop IoT apps-

1. Amazon Web Services-

It is one of the largest platforms that allows for monitoring the location of goods at any stage of their deployment. To provide efficient data exchange between chips and hardware such as PCs Amazon web services are used . It is a full-fledged infrastructure of agnostic platforms. It includes file hosting, cloud computing and virtual servers also. One of the largest advantages of this is for IoT app development including increased security, flexibility and also adaptability.

2. Azure IoT Suite-

It is popular software package from Microsoft, especially developed for simple integration of information collection devices into a consolidated system for transferring, storing, analyzing and processing data. Azure IoT Suite provides access to a reliable and scalable storage bank of large volumes of information. Microsoft Azure Cloud is also supplemented with an extensive list of advanced services, including Azure IoT Hub, Azure Stream Analytics, Azure Storage, Azure Cosmos DB.

3. Oracle IoT-

It is one of the leading software solutions for the development of Internet of Things applications. Based on cloud computing technologies, applications created with Oracle IoT have a whole host of advanced capabilities, including device virtualization, high-speed messaging, endpoint management, stream processing, data enrichment, event storage, REST API support, and also enterprise connectivity. In 2017, this platform was complemented with new products: IoT Asset Monitoring Cloud, IoT Fleet Monitoring Cloud, IoT Production Monitoring Cloud, and also IoT Connected Worker Cloud, designed to solve a number of business tasks and improve the process of converting data into the user-friendly form.

3. KAA IoT-

It offers very rich toolkit for developing IoT applications. KAA IoT has a lot of advanced features; among them, a well-thought-out functionality for the adjustment of mobile device compatibility, flexible management of an unlimited number of sensors for the collection of information through an SDK server, real-time sensor monitoring, cloud services, automation of software updates, and also automated user personal device settings distribution, etc.

By using the above tips, you can easily develop applications for IoT. 

At Solace, IoT Development is a strength of ours in which we take great pride. If you’re interested in adopting IoT for your business, then you might need some help getting started. We believe in benefits and effectiveness of using IoT in a business. Solace expert’s are here to help you with IoT development. Kindly contact us for any IoT development that set you on your way to business growth.

Blockchain – The Basics you should know

A community following banking, investing, or cryptocurrency over the last ten years may be familiar with “blockchain”. What is blockchain technology? It is a record-keeping technology behind bitcoin. In case of learning blockchain, you may have come to related terminologies- such as distributed, decentralized, and public ledger.

What is blockchain?

Blockchain

A Blockchain can be defined as a chain of the block that contains information. This technique is planned to timestamp digital documents so that it’s not possible to backdate them or temper them. The blockchain is used to the secure transfer of items like money, property, contracts, etc. This transfer is carried out without requiring a third-party intermediary like a bank or government. When information is recorded inside a blockchain, it is extremely hard to transform it. 

The blockchain is a software protocol. Internet is necessary for running the blockchain. It is also called meta-technology as it affects other technologies. It consists of some pieces: a database, software application, some connected computers, etc. There are many wrong assumptions about blockchain. So just clear these points.

What blockchain is not?

⦁ Blockchain is not a Bitcoin, actually it is a technology behind Bitcoin.

⦁ Blockchain is the ledger to keep track of who owns the digital tokens while bitcoin is the digital token.

⦁ You can’t have Bitcoin without blockchain, but you can have blockchain without Bitcoin.

Need of Blockchain-

1. Time reduction: 

Blockchain plays an important role in the financial industry. It does not require a lengthy process of verification, settlement and clearance also, so it allows quicker settlement of trades. This is because a single version of agreed-upon data of the share ledger is available between all stakeholders.

2. Reliability: 

Blockchain affirms and confirms the identities of the interested individuals. This evacuates double records, reducing rates and accelerates transactions also.

3. Unchangeable transactions: 

After registering transactions in chronological order, Blockchain ensures the unalterability of all operations.  This means when any new block has been added to the chain of ledgers, it cannot be removed or altered.

4. Fraud prevention: 

The concepts of shared data and consensus prevent possible losses due to fraud misappropriation. In logistics industries, blockchain is a monitoring system to reduce costs.

5. Security: 

Attacking a traditional database is the bringing down of a specific target. Using Distributed Ledger Technology, each party can hold a copy of the original chain. So the system remains operative, even the large number of other nodes fall.

6. Transparency:

Changes to public blockchains are publicly viewable to everyone. This gives more transparency, and also all transactions are changeless.

Versions of Blockchain-

1. Blockchain 1.0: Currency

The implementation of distributed ledger technology prompted its first and obvious application: cryptocurrencies. It is used in currency and payments. It permits the financial transactions carried out through blockchain technology. Bitcoin is the most common example in this segment.

2. Blockchain 2.0: Smart Contracts

Smart Contracts are the small computer programs that work with the blockchain. They are the computer programs that automatically executes, and check conditions that are defined earlier like facilitation, verification or enforcement. It is used as an alternative for traditional contracts.

3. Blockchain 3.0: DApps:

DApps is an abbreviation of decentralized application. It has their backend code that runs on a decentralized peer-to-peer network. A DApp can have frontend code and user interfaces written in any language that can make a call to its backend, like a traditional Apps.

Structure of Blockchain-

Basically, blockchain is a public digital ledger. This ledger records transactions across computers. What makes it successful and popular? The answer is, it is centralized and distributed. Let us consider one example- Let’s say that person A wants to send some Bitcoins to another person B. To do that, they must know what is wallet address of person B. This wallet address is usually similar to an email. But we use this wallet address to send money rather than emails. Once the money is sent, it must be verified by every node. This node is a part of the blockchain network to get to person B’s wallet. In this transaction, every computer on the blockchain makes a transaction record and also saves it. Hence rather than having one transaction record kept in a bank, there are thousands of records stored in thousands of computers.

You might not like the thing of having your transaction records available on so many computers. This issue is resolved by making transactions mysterious. This is achieved by using cryptography. Hence cryptography is vital part of this technology. In case of changing transaction records, it would have to access every node ie., computer. But this is impossible. Blockchain miners are the people dedicated to devices and blockchain. Devices of these blockchain miners are the nodes on the network that validate transactions and store it in distributed ledger. These miners are get rewarded in bitcoins for their services.

Use Cases of Blockchain-

1. Government sector-

Blockchains are used in government sector for digitization of document/ contracts and proof of ownership. It can also be used for Tele-attorney service, registration and identification, IP registration and exchange, Tax receipts Notary service and document registry.

2. Markets-

Blockchain is used in marketing for billing, monitoring and data transfer. Also it is useful for Quota management in supply chain network.

3. IoT-

Blockchain technology is used in IoT for agricultural and drone sensor networks, smart home networks, integrated smart city, self-driving cars, robots and digital assistants etc.

4. Health-

Health sector uses Blockchain for data management, Big health data streams analytics, Digital health wallet smart property and personal development contracts etc.

5. Finance –

Digital Currency Payment, Inter-divisional accounting, Clearing & Trading & Derivatives and Bookkeeping also uses Blockchain technology.

Future of Blockchain-

1.Most governments around the world will create or adopt some form of virtual currency. This leads to the development of nations. 

2. By 2030, there will be more trillion-dollar tokens than there will be trillion-dollar companies.

3. Most of the world trade will be conducted using blockchain technology.

Disadvantages of Blockchain-

1.Technology cost

2. Speed inefficiency

3. Illegal activity

4. Hack Susceptibility

Conclusion-

Blockchain is a new technology that will help nation and also businesses for development. Blockchain is also used in Healthcare. Hence, it is most significant use of Blockchain technology.

Interested in incorporating blockchain to your business? Solace will be the perfect place to get started. Solace expert’s in blockchain will help your business to step forward in a wide market. For effective blockchain development, contact us.

6 Cool Things You Can Do With Node.JS

NodeJS is an open- source server- side run- time environment built on Google Chrome’s JavaScript V8 Engine. It is a JavaScript runtime environment based on event-driven programming. It enables non- blocking I/O capable of serving different simultaneous occasions in a single thread. Non-blocking I/O makes Node.js quick, lightweight, adaptable, and also proficient in handling data-heavy and I/O heavy workloads. Here you will get to know about how Node.js can be used efficiently in many kinds of applications. Node.JS event-driven nature makes it capable to handle multiple requests at a time. 

• It is powerful enough to handle a large traffic site like Paypal. 
• Node.js is fast enough to handle the most used site for video buffering Netflix.
• It is so good in handling requests to support an app like Uber. 

Know the comparison of Node 6 to Node 8 at our blog- Upgrading from Node 6 to Node 8: performance comparison.

6 Cool Things You Can Do With NodeJS-

1. IoT-

When the fame of IoT rose drastically,  Node.js has turned out to be one of the favored solutions for enterprises and organizations seeking to develop their private and public IoT systems. The most evident advantage of Node.js as a back-end for such networks is its ability to process multiple concurrent requests and events produced by thousands or even millions of devices on the network. Large amount of requests and data coming from IoT devices doesn’t block Node.js servers because of their event-driven architecture and asynchronous processing suitable for I/O-heavy operations on the IoT network. This makes Node.js quick as an application layer between these gadgets and also databases used to store information starting from them. The development of Node.js ecosystem for IoT clarifies why environment has been utilized effectively in numerous IoT items.

Skycatch used Node.js in its specialized drones that take photos of construction sites and turn them into 3D models and data needed to kickstart construction projects. Node.js is used in business products such as Siemens Smart Grid (Monet), a power management solution designed to save energy resources and identify vitality use oddities and potential risks. Monet uses Node.js as an application layer and MongoDB for data storage, both hosted in the Microsoft Azure Cloud.

2. Real time chats-

Real-time chat is any online communication tool that allows the live transmission of text, video, or audio messages from a sender to a receiver. 

Real- time chats can take the form of one-to-one or one-to-many group chats built on instant messaging (IM) or Internet Relay Chat (IRC) technologies. Nowadays in social networks, commercial sites and everywhere on the web real-time chats are mostly used.

Node.js provides all basic functionalities for building real-time chats of any complexity. Node has a powerful Event API that encourages making  certain kinds of objects (“emitters”) that periodically emit named events “listened” by event handlers. Because of its functionality, Node.js makes it simple to execute server-side events and push notifications mostly used in instant messaging and other real-time applications. Node’s event-based architecture also works well with the WebSockets protocol that encourages a quick two-way exchange of messages between the client and the server via one open connection.

By installing WebSockets libraries on the server and the client side, you can execute real time messaging. It has lower overheads and latency and faster data transfer than others. In Node, you have fantastic help for WebSockets by means of such libraries as socket.io, ws, or websocket-hub, because of which you can without much of a efforts send proficient real-time chats and applications. Just a few lines of code is sufficient to achieve this basic functionality.

3. Real-Time Collaboration Tools-

Real-time collaboration applications offer a wide assortment of programming solutions for co-browsing, project management, video and audio conferencing, application sharing, collaborative editing of documents, and also many more. Among the most well known collaboration applications, one should make reference to Slack for group chats and also management of remote teams, Trello for project management, and Google Docs for collective editing of documents. For real-time chats, asynchronous and event-based architecture of node is a great fit . Many events and I/O requests occur concurrently in these applications. For eg., some users can edit the same paragraph, comment, post messages and attach media.

Only after a cascade of events, changes to one piece of content might be applied, where each progression relies upon the past one. WebSockets and Event API of Node will ensure that heavy I/O operations performed by many users don’t make the server hang. By producing message pop-ups to the customer, Node.js will also instantly update the collaboration environment so that all clients have a solitary and rational representation of the application. Hence team of project management application Trello uses Node.js stack.

4. Create a cool mobile apps-

Consider that, you want to create a mobile version of your web application. Then what will you do? Node.js will work just as well for building a responsive web application. But you’ll need installable application iOS, Android and potentially Windows that can take advantage of the app marketplaces. NodeJS also provide frameworks for mobile app development like Meteor.JS, Mojito.JS. Meteor.JS is a full stack framework for web and mobile app development also. 

5. Multi-player games-

When we talk about real-time events, NodeJS and Socket.io come into the picture. A multiplayer game is one of their real- time applications. We can also build a multiplayer game using node.js and Socket.io. For this we need to make a node.js server and establish a socket connection for every player and emit event of our game logic on every move.

6. Remote Control Slide show presentation-

With the use of NodeJS and Socket.io, we can easily control presentation slides with just a smart- phone swipes. For this, you can use Reveal.js API to make a slideshow. Reveal.js puts every slide number in URL with hashtag. We will send this URL to every connected user and when they swipe URL will reflect and slide will change. We will use a passcode to connect with this URL (establish socket connection).

You can know the new features of Node 8 at our blog- Node 8: Six New Features You must Know.

Wrap up-

Node.js is great for building applications with heavy client-side rendering, multiple concurrent requests, and also frequent shuffling of data from a client to a server. Whenever you think about building heavy I/O and data-driven applications, Node.js should definitely be the first option on your list.

Are you looking for an application or web development to boost your business? Then you are at the right place. We at Solace believe in benefits and effectiveness of using Node in development. Solace expert’s are well trained to use Node for effective development. To get a free quote for any web development, contact us. We are happy to help you get started through our expert’s.

All you need to know about Machine Learning

The innovations in science makes our life more comfortable and preferable than before. In our regular day to day existence, the commitment of science is simply irrefutable. We can not ignore the effect of science in our life. If we try to analyze the effect of science in our life, then we will notice that, these are the outcomes of using Artificial Intelligence and Machine Learning applications. Machine learning is a modern innovation of science. It helped man in industrial and professional processes and advances everyday living. To know the difference between Artificial Intelligence and Machine Learning, go through our blog- Artificial Intelligence and Machine Learning: A Comparison.

What is Machine Learning?

Machine Learning

Machine learning is a subset of artificial intelligence. It focuses on using statistical techniques to build intelligent computer systems in order to learn from databases available to it.

Machine learning is the process of teaching a computer system how to make accurate predictions when fed data. Those predictions could be answering whether a piece of fruit in a photo is a banana or an apple, whether an email is spam, or recognizing speech accurately enough to generate captions for a YouTube video.

The main difference from traditional computer software is that a human developer hasn’t written code that tells the system how to distinguish. Instead a machine-learning model has been taught how to reliably distinguish between the fruits by being trained on a large amount of data, in this instance likely a huge number of images labelled as containing a banana or an apple. You can refer machine learning software tools at- Best Machine Learning Software and Tools To Learn in 2019.

Types of Machine Learning-

Supervised learning and unsupervised learning are the types of Machine learning.

What Is Supervised Learning?

This approach basically teaches machines by using examples. Systems are presented to large amounts of labelled data during training for supervised learning. For example images of handwritten figures annotated to indicate which number they correspond to. From the sufficient examples, a supervised- learning system would learn to recognize the clusters of pixels and shapes associated with each number and in the end have the option to perceive manually written numbers, ready to dependably recognize the numbers 9 and 4 or 6 and 8. For training of these systems, a large amount of labelled data requires. Systems with these data need to be exposed to millions of examples to master a task.

The data-sets used to train these systems can be huge with Google’s Open images about nine million images. The size of training data-sets continuously growing with Facebook and Instagram. Using these images to train image recognition system yielded record levels of accuracy – of 85.4 percent – on ImageNet’s benchmark. The process of labeling the datasets used in training is carried out using crowd working services such as Amazon Mechanical Turk. These services provides access to a large pool of low-cost labor distributed across the world. Facebook’s approach of using publicly available data to train systems could provide an alternative way of training systems using billion-strong datasets without the overhead of manual labeling.

What Is Unsupervised Learning?

In contrast, unsupervised learning tasks algorithms with identifying patterns in data, attempting to spot similarities that split that data into categories. An example might be Airbnb clustering together houses available to rent by neighborhood, or Google News grouping together stories on similar topics each day. The algorithm isn’t designed to single out specific types of data. It simply searches for data that can be grouped by its similarities, or for anomalies that stand out.

Why Is Machine Learning So Successful?

While machine learning is not a new technique. But the interest in this field has reached a sky in recent years. This resurgence returns on the back of a series of breakthroughs, with deep learning setting new records for accuracy in areas such as speech and language recognition, and computer vision. What’s made these successes conceivable? There are primarily two factors. One being the vast quantities of images, speech, video and text that is open to analysts hoping to prepare machine-learning systems. Most important is the availability of vast amount of parallel-processing power, cordiality of modern graphics processing units, which can be connected together into clusters to form machine learning powerhouses.

Anyone with an internet connection can use these clusters to train machine-learning models, via cloud services provided by firms like Amazon. As the use of machine-learning has taken off, so companies are now creating specialized hardware tailored to running and training machine-learning models. For eg., Google’s Tensor Processing Unit which speed up the rate at which machine-learning models built using using Google’s TensorFlow software library can  construe information from data, as well as the rate at which they can be trained. These chips are not only to train models for Google DeepMind and Google Brain, but also the models. These models support Google Translate and the image recognition in Google Photo as well as services that allow the public to develop machine learning models with the use of Google’s TensorFlow Research Cloud.

The second era of these chips was revealed at Google’s I/O meeting in May a year ago, with a variety of these new TPUs ready to prepare a Google AI model utilized for interpretation in a fraction of the time it would take a variety of the top- end GPUs, and as of late declared third- age TPUs ready to quicken training and induction considerably further. It is becoming very common for ML tasks to be carried out on consumer-grade phones and computers, instead in cloud datacenters because hardware becomes more specialized and machine- learning software frameworks are refined. In the summer of 2018, Google took a step towards offering the same quality of automated translation on phones that are offline as is available online, by rolling out local neural machine translation for 59 languages to the Google Translate app for iOS and Android.

Real Life Machine Learning Applications-

1. Image recognition-

It is an approach for identifying and detecting a feature or an object in the digital image. Moreover, this technique can be used for further analysis, such as pattern recognition, face detection, face recognition, optical character recognition, and many more.

2. News Classification-

Interesting category of news to the target readers will surely increase the acceptability of news sites. Moreover, readers or users can search for specific news effectively and efficiently. There are several methods of machine learning for this purpose, i.e., support vector machine, naive Bayes, k-nearest neighbor, etc. Moreover, there are several “news classification software” is available.

3. Email Classification and Spam Filtering-

To classify email and filter the spam in an automatic way machine learning algorithm is employed. There are many techniques, i.e., multilayer perception, C4.5 decision tree induction, are used to filter the spam. 

4. Speech Recognition-

Speech recognition is the process of transforming spoken words into text. This field is benefited from the advancement of machine learning approach and big data. In a machine learning approach, the system is trained before it goes for the validation. 

5. Online Fraud Detection-

It is an advanced application of machine learning algorithms. This approach is practical to provide cyber security to the users efficiently.

6. Prediction-

All sort of forecasts can be done using a machine learning approach. There are several methods like Hidden Markov model can be used for prediction.

7. Services of Social Media-

Social media uses machine learning approach to create attractive and splendid features. For eg.,people you may know, suggestion, react options for their users. These features are the result of the machine learning technique.

If you’re interested in adopting Machine Learning technology for your business, then you might need some help getting started. Solace team is there for you to start. Dedicated developers of solace will be more happy to help you for development of ML system and set you on your way to business innovation. Contact us to get effective ML system that will help you to stand out in a growing market.

7 Important Considerations When Building A Mobile App

Whether you accept it or ignore it, but the fact is you can’t ignore the growing presence of mobile apps. With everybody from children to adults, getting snared to Apps. Nowadays many enterprises have begun investing in creating business apps, not just for their customers but also for their employees. When the challenge is so high, user expectations for the app quality also goes high. To ensure zero drawbacks, it is prudent to invest in App testing at every stage of development. Not at all like testing traditional desktop apps, mobile App testing is truly complicated and challenging. Let us see the 7 important considerations when building a mobile app.

Top 7 important considerations when building a Mobile App

Mobile App Development

1. Know your audience-

Your company needs to analyze the competition to determine the type of applications they are building, why they create that app and how they are engaging in the process. Listing out the competitor companies and search for their apps on the app store and google play helps you to analyze the level of development of your competitors. This helps you to set the development goal for your application. Pilot the applications yourself. For this read the reviews on the store pages to realize which features are liked by clients and what part of experience need to improve. With the help of this information you can improve your application to stand out among competition and also to serve your target audience in a more efficient and exciting way.

2. Attractive User Interface-

User interface is a vital part of an application. UI is the first impression of app it presents to the users. The common objective of UI is to fulfill the audience needs. It is always good to keep the UI, simple and easy to use. Probably the most ideal approaches to comprehend client reaction is to go for UI group testing. This helps you to understand the initial response and feedback from real users in real world conditions. It also gives you the flexibility to test your app with users from different locations. 

3. Compatibility Challenge-

The same app may have different results on devices having different screen sizes on different platforms and browsers. It is beneficial to test the app with real users, in real time, on real devices using real platforms to understand what works best and what does not work. The goal is to ensure that the app works well with different devices, operating systems as per the exact expectations. In the case of devices, developers need to factor in the impact on battery life, the RAM used, and the CPU processing power of different devices.

To cover these aspects using traditional testing is difficult and also expensive. Testing on real devices can never be replicated by emulators. The least complex and most savvy answer for battle the issue of similarity is to put resources into publicly supported App testing. Getting real insights in transit your App works will empower you to improve your app performance across devices, browsers and platforms.

4. Provision for updates for Mobile Apps-

Users will expect new features and upgrades in your app.If you want your app to stand out in the market, you need to invest in upgrading your App and also in additional testing for each upgrade. Also you need to ensure that the released updates are working well in different OS versions. It is also necessary to ensure that the app is easy to upgrade or install. Your testing procedure should cover installation, updates and un-installation of the App to reveal any mistakes all the while.

5. Internet bandwidth and other external Factors-

You need to understand the impact of internet bandwidth on your App’s quality. According to the results of, how good or bad the internet connection is, application behavior will be different for different users. You could lose your sales by 1% for every 100 milliseconds of load time. Most of the users won’t wait more than 3 seconds for a page load. Additionally, a mobile app in real world conditions is inclined to intrusions like lack of coverage and incoming calls. It is difficult to reproduce the fluctuating conditions because of the  network and location in a lab. The simpler way to estimate and fix these issues is through crowd-sourced performance and interrupt with testing that will allow you to understand the effect of interruptions like incoming calls and network fluctuations.

6. How to Monetize the App-

Every business is ultimately creating their apps to monetize them.  Companies must consider the budget and maintenance costs of their application, as well as which methods will help them make money off of their users. Possible options include:

Advertising: 

Most of today’s apps use banners, video, native, interstitial, and text ads to make a profit. This doesn’t force users to purchase the app, it does create distractions or pauses in the experience.

Freemiums:

Apps can be free to download, but users will have to upgrade to get full access. This pay-to-use method allows some users to enjoy a limited version of your software with free of cost, while others will enjoy the experience and pay to continue. While you won’t make money off of everyone, your users will not be turned off by having to purchase ahead of time or seeing obtrusive advertisements.

In-App Purchases-

Game developers do a great job of monetizing in-app purchases through play credits, character unlocks, and level unlocks. Again, not everyone will engage, but it is an effective and psychologically-based way to tantalize the user to enjoy more of your product. 

App Installs–

This is one of the riskiest options, because not everyone will be enticed to spend money on your app before they try it. If you have high user reviews from those who have already used it, more users may be encouraged to spend money. It is beneficial to create a related audience, but you will secure revenue from everyone who uses your product.

7. Security challenges-

A security testing can help uncover vulnerabilities of data leakage during the transmission and working of the App. Your App must meet the authorization policies and other security standards set, to ensure that the user data is protected. You also need to include certificate testing in your strategy to meet the mandatory certificates set for compliance for devices and apps.

You can also know the mobile optimization tips at our blog- Best Tips to improve your mobile App performance.

Are you looking to develop effective mobile app for your business? Solace developers are expert in app development tools. We at Solace believe in the benefits and effectiveness of choosing the best mobile app development tool. We will provide the best solution to bring your company the success it deserves. Feel free to contact us for any mobile app development.

What is Augmented reality? How does it work?

Augmented reality interest is increasing as the innovators explore the business importance. AR plays a vital role in workforce enablement and client experience and cooperation.This rising innovation holds huge guarantee for changing the manner in which organizations work. Let us see the details of Augmented Reality.

What is Augmented Reality?

Enlarged the truth is the innovation that grows our physical world, including layers of digital data onto it. In contrast to Virtual Reality (VR), AR does not make the entire artificial intelligence to replace with a virtual one. AR shows up in direct perspective on a current situation and includes sounds, videos, graphics to it. A view of the physical real-world environment with superimposed computer-generated images, consequently changing the view of the truth, is the AR. With the increase in the use of the internet and smartphones, AR revealed its subsequent wave and these days is mostly related to the interactive concept. 3D models are legitimately projected onto physical things or melded progressively, different expanded reality applications impact on our habits, social life and the entertainment industry.

AR applications commonly connect digital animation to an extraordinary ‘marker’, or with the help of GPS in telephones pinpoint the area.

There are 4 types of augmented reality:

1. markerless AR
2. marker-based AR
3. projection-based AR
4. superimposition-based AR

How does Augmented Reality work?

AR can be shown on different gadgets: screens, glasses, handheld gadgets, cell phones, head-mounted showcases. It includes innovations like S.L.A.M. (simultaneous localization and mapping), depth tracking (briefly, a sensor data calculating the distance to the objects), and the accompanying parts:

1. Cameras and sensors-

Cameras on devices are for scanning the surroundings. With this info, a device locates physical objects and generates 3D models. It might be a special cameras, like Microsoft Hololens, or common smartphone cameras to take pictures/videos.

2. Processing-

AR devices eventually should act like little computers, something modern smartphones already do. In a similar way, they require a CPU, a GPU, flash memory, RAM, Bluetooth/WiFi, GPS, etc. so on to have the option to measure speed, angle, direction, orientation in space, etc.

3. Projection-

This refers to a smaller projector on AR headsets. These headsets takes data from sensors and projects digital content (result of processing) onto a surface to see. In fact, the utilization of projections in AR has not been fully invented yet to use it in commercial products or services.

4. Reflection-

Some AR devices have mirrors to help human eyes to view virtual images. Some have an “array of small curved mirrors” and some have a double-sided mirror to reflect light to a camera and to a user’s eye. The goal of such reflection paths is to perform a proper image alignment.

Types of Augmented Reality-

1. Marker-based AR-

It is also called as image recognition,because it requires a special visual object and a camera to scan it. It may be anything, from a printed QR code to special signs. The AR device calculates the position and orientation of a marker to position the content, in some cases. In this manner, a marker starts advanced activities for clients to see, thus pictures in a magazine may transform into 3D models.

2. Markerless AR-

It is also known as a location based or position based augmented reality, that uses a GPS, a compass, gyroscope and an accelerometer to provide data according to user’s location. This information at that point figures out what AR content you find or get in a specific zone. With the accessibility of cell phones this sort of AR regularly delivers maps and directions, close by organizations data. Applications incorporate events and information, business ads pop-ups, navigation support.

3. Projection-based AR-

Projecting synthetic light to physical surfaces, and in some cases allows to interact with it. It detects user interaction with a projection by its alterations.

4. Superimposition-based AR-

Replaces the original view with an augmented, fully or partially. Object recognition plays an important role. Without it the whole concept is simply impossible. 

Augmented Reality devices-

1. Mobile devices–

AR in Gaming

The most available and best fit for AR mobile apps, ranging from pure gaming and entertainment to business analytics, sports, and social networking.

2. Special AR devices–

These devices are designed primarily and entirely for augmented reality experiences. One example is head-up displays (HUD), sending data to a transparent display directly into user’s view. Originally introduced to train military fighters pilots, now such devices have applications in aviation, automotive industry, manufacturing, sports, etc.

3. AR glasses-

AR Glasses

It includes Google Glasses, Meta 2 Glasses, Laster See-Thru, Laforge AR eyewear, etc. These are able to display notifications from your smartphone, assisting assembly line workers, access content hands- free, etc.

What’s the difference between Augmented Reality and Virtual Reality?

Augmented Reality (AR)- It improves, enhances or expands real life by inserting virtual objects into the user’s real world environment. Virtual Reality (VR) creates a completely virtual world that users interact with using devices that isolate the user from the real world. VR grabs headlines, but researchers say AR will prove to be a bigger market after some time.

Are you thinking to modernize your business? But confused about what to do? Then solace is the right place to start with augmented reality, artificial intelligence, machine learning etc. Solace expert’s are well trained to work with such new technologies. Get a free quote for any web development related to augmented reality, artificial intelligence and machine learning.