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Updated by Consagous Technologies on Jun 07, 2021
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Benefits Of A Cloud Based LMS

#LearningManagementSystems have revolutionized the entire e-learning scenario across the globe. With a robust, cloud-based learning system, the reception and delivery of learning become beautifully streamlined and cohesive. Listed below are a few #benefits of a cloud-based LMS!

#LearningManagementSystems have revolutionized the entire e-learning scenario across the globe. With a robust, cloud-based learning system, the reception and delivery of learning become beautifully streamlined and cohesive. Listed below are a few #benefits of a cloud-based LMS!

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2

Best App Testing Tools for iOS and Android!

Best App Testing Tools for iOS and Android!

Mobile app testing is a Software testing and quality assurance process in which the developed mobile apps are tested for their usability, functionality, and consistency. This is to assure the quality before these apps are released into the app marketplaces like AppStore and PlayStore. Applications are tested at different levels which increases their efficiency on all fronts.

Today, smartphone users install any application based on its review and ratings, which is directly proportional to the performance of the app. This has made mobile apps testing and software testing and quality assurance services very important.

Now that we have learned briefly about the concept of mobile apps testing and its importance, let’s know about the various tools that make such kind of testing possible.

Appium
An open-source tool for testing a wide range of Android and iOS applications. With this software, developers can also test native apps written in Android and iOS SDKs, hybrid apps containing a basic web view, and mobile web apps that can be accessed through mobile-based browsers.

Appium aims at automation in the testing of apps without any modification and is a full-on solution for automated testing, but it is quite inconvenient because of its complex UI. Appium uses a WebDriver protocol for performing tests and supports C#, Ruby, Java, and other languages that belong to the WebDriver library.

Appium is purely based on the Selenium tool suite that is used by testing engineers to automate browsers. So, if one is familiar with the Selenium tool suite, Appium won’t be difficult to work with. Being a cross-platform, it allows the programmers to reuse the source code amongst Android and iOS.

Monkey Talk
Another open-source software quality assurance and a testing tool is Monkey Talk which is used to test both Android and iOS apps. Like Appium, Monkey Talk also automates functional testing. This software is quite simple to set-up and easy-to-learn as it doesn’t require deep knowledge of programming and technical scripting. The scripts of Monkey Talk are very simple and understandable.

From performing a little smoke test to tough data-driven tests, Monkey Talk is capable of handling everything. The tool consists of three different segments - the scripts, the operator, and the IDE. The testing engineers can also create XML and HTML reports using this tool. Likewise, it also catches screen capture when an error or failure occurs.

Monkey Talk supports emulators, tethered devices, and network devices. It also has inbuilt support for Jenkins and Hudson, which fulfills the purpose of continuous integration.

Kobiton

A mobile device cloud platform that provides access to devices to perform automated and manual tests on web, hybrid, and native iOS as well as Android apps. It gives users full control of the real-time mobile devices during the process of manual testing with support for multi-touch gestures.

Kobiton provides a seamless experience to the testing engineers by furnishing the testing-process and therefore it markets itself as an experience platform and not as an app testing platform. Kobiton lets access to the latest devices via the cloud-labs to perform more efficient testing and that too without script modifications.

Kobiton automatically generates commands, activity logs, metadata, and screenshots that help in faster identification of issues. It also includes support for Appium as it is built on top of the Appium open-source framework.

EggPlant
EggPlant is a part of the Digital Automation Intelligence Tool and allows dynamic testing from the user’s viewpoint. It is quite much useful for software quality assurance, User Interface Automation, Mobile Testing, Web Testing, and Image-Based Testing. This tool allows testing a wide range of iOS and Android apps, including mobile and web-based apps.

This tool has one script for all platforms and devices, with some additional features of Full device code. While running tests through this tool, almost everything that appears on the screen can be tested.

EggPlant is a visual testing tool and therefore it doesn’t require testing engineers to know iOS and Android messages. This makes it a user-friendly tool for writing automated test scripts for mobile applications.

Apptim
This tool empowers developers and testing engineers to easily test their apps and analyze the performance to avoid any critical issues or bugs from going live. Apptim measures the performance of iOS and Android applications while running them on real mobile devices.

After every test session, this tool produces a record of available bugs and overall performance metrics that you may find during the test. You can also track and publish bugs directly with this tool.

Apptim’s UI is intuitive and easy to use. Additionally, on the website, you get to see the detailed documentation that will be helpful to you during your initial steps with the tool and you get support available at every step of the way.

Mobile app testing is an exciting task to perform but sometimes this process gets complex due to some advanced features getting added. Using mobile app testing tools reduces the complexity and appearance of technical bugs. These testing tools assist you in software quality assurance testing for both iOS and Android apps.

Several applications are making their way into the app marketplace every day. And many apps are also being taken down daily. So, if you are not familiar with appropriate software quality assurance techniques, the absolute best option is to outsource your application.

Consagous Technologies is one of the renowned software quality assurance service providers in the market and has been offering professional software testing and quality assurance services for more than 10 years and can be the best option for you.

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3

Developing An On-demand Video Streaming App Like Netflix: Cost, Features & More!

Today, Entertainment & media app development solution like on-demand video streaming has turned out to be more time-saving and comfortable than watching TV. These platforms have seen a drastic increase in their popularity and demand. These are more attractive to users than watching TV shows as they have complete control over the videos being streamed and can watch their favorite movies and serials without any interruptions.

The apps related to these platforms have seen a tremendous spike in the number of apps available on the app marketplace for downloads. So in this blog, you will get to know about the development of video streaming app, features, and costings.

What is an on-demand video streaming app?

Before knowing about the development of video streaming apps, let’s discuss and learn what is on-demand video streaming?

A video-on-demand mobile app is a system that allows users to choose a movie, serial, and web series of their choice and watch it at any point in time as per their wish. All one needs to do is installing any video streaming app, register, plugin any device (like mobile, TV, or laptop), and start viewing anything of one’s choice.

Difference Between OTT and VOD

OTT or Over The Top are online channels or applications that have an entire library consisting of movies, shows, short videos, and web series. Netflix and Hulu are examples of OTT platforms.

VDO or Video on Demand are platforms that offer a wide range of choices between web series, TV series, movies, etc. Two examples of VOD platforms are Youtube and Amazon Prime.

But, is there any difference between these two platforms? Let’s have a look:

· OTT platforms are a subset of VOD.

· OTT can be accessed free of cost, while users need to pay for the channels they wish to subscribe to VOD.

· VOD gives access to unlimited videos to users, while OTT does not.

Cost to develop a VOD app

Similar to all other apps, the cost for the development of a video streaming app also depends on the features, size of the app, and other such factors. Also, the charges would differ depending on the reputation of the assigned team providing you with the entertainment app development solutions.

Have a look at the charges based on countries:

· U.S.-based developers charge 50 to 250 dollars an hour.

· Developers from Eastern Europe charge 30 to 150 dollars per hour.

· Indian developers charge 10 to 80 dollars per hour.

The development costs of an app are often estimated only after the approximation of time that might be spent by the developers over the video streaming app development.

General Features of VOD app:

The general features of any app will be based on two panels i.e. Admin Panel and User Panel.

Admin Panel Features

The major features in your VOD app admin panel will be:

· Mass video Upload

· Users and subscribers management

· Managing subscriptions and memberships

· Adding videos, albums, styles, and artists.

· Removing videos, albums, styles, and artists.

· Video Publishing at one click.

· Managing advertisements and promotions

User Panel Features

The major features included in your VOD app user panel will be:

· Browsing and searching content

· Language and genre selection

· Creating a personalized playlist

· Downloading videos offline

· Play video in the background

· Managing profile and devices

· Subscription renewal or discontinuation

· Managing watch history

· Video preview before playing

Advanced Features of VOD app:

A video-on-demand app should also be loaded with the following advanced features:

User Onboarding

A VOD app should navigate a new user through the entire app. It should be explaining all the in-app features properly.

Behaviour Tracking

It is very essential to know the interest of the users. According to their search records saved in the backend, it gets easy to suggest them with the movies or series based on related genres. This also helps in promoting any content and increasing views.

Realtime Analytics

This means that the admin can analyze the real-time statistics of live viewers and broadcasters graphically in the form of reports, graphs, pie charts, etc all over the admin panel dashboard. This helps the admin to strategize ideas and to market the content accordingly.

Push notifications

Any recent updates would be notified to the users. This offers a more natural and seamless experience for the users.

Streaming Quality

The VOD app should ensure to provide an HQ/HD video quality to the users. The app should also be able to decide the quality of streaming by itself, depending on the bandwidth of the network connection. It would be better to keep the lower option of the video quality to 144p and higher options up to 4k for the best viewing experiences.

With a rise in demand for OTTs and online streaming video content, media & entertainment app development solutions like video-on-demand apps are also in demand. A company launching such a VOD app should be well-versed with the latest market trends and procedures in the video streaming industry.

Get the best VOD and entertainment app development solutions that can showcase videos related to sports, news, and entertainment. At Consagous Technologies, we have a highly professional and experienced team of on-demand mobile app developers. We understand your needs and bring the absolute best solutions to fulfill your needs.

Original Source:

https://bit.ly/2Q699e6

4

How AI & ML are Transforming Social Media?

How AI & ML are Transforming Social Media?

Today Artificial Intelligence has been a major component of popular Social Media platforms. At the current level of progress, AI for social media has been a powerful tool.

What is Artificial Intelligence?

The term artificial intelligence (AI) refers to any human-like intelligence shown by a machine, robot, or computer. It refers to the ability of machines to mimic or copy the intelligence level of the human mind. This may include actions like understanding and responding to voice commands, learning from previous records, problem-solving, and decision-making.

Many companies are providing AI application development services, which has made it easy for organizations to adopt AI and ML-based applications.

What is Machine Learning?

In general terms, Machine learning (ML) is a subset of AI focusing on building applications and software that can learn from past experiences and data and improve accuracy without being specifically programmed to do so. Machine learning applications learn more from data and are designed to deliver accurate results.

How AI works?

Not going deep into the engineerings and software development part of AI, here is just a basic description of working of AI:

Using ML, AI tries to mimic human intelligence. AI can make predictions using algorithms and historical data.

AI and ML in Social Media

Today, there exist several applications of AI and ML in different social media platforms. Big Companies have been using AI for a long time and are still into improvising their platforms and also acquiring small firms. There exist varieties of AI and Machine Learning App Development Services that are making the adoption of AI and ML possible.

AI is being used on Social Media platforms in various ways. Some of them are mentioned below:

· Analyzing pictures and texts

· Advertising

· Avoiding unwanted or negative promotions

· Spam detection

· Data collection

· Content flow decisions

· Social media insights, etc.

It may sound surprising but your favorite social media apps are already using Artificial Intelligence and Machine Learning.

  1. Facebook and AI

Whenever it comes to social media, the first name that comes to mind is Facebook. Talking about cutting-edge technology, repurposing user data broken down into billions of accounts, Facebook is the leading social media platform.

Users on Facebook are allowed to upload pictures, watch videos, read texts and blogs, engage with different social groups, and perform many other functions.

Thinking of such a crazy and huge amount of data, a question arises how Facebook handles such data? Here, AI in Facebook comes in handy.

Facebook and the use of AI in Social Media

Here are some major examples of AI applications in Social Media:

· Facebook’s Text Analyzing

Facebook has an AI-based tool “DeepText”. This tool provides deep learning and helps the back-end team to understand the texts better and that too around multiple languages and hence provide better and more accurate advertising to the users.

· Facebook’s Picture Analyzing

Facebook uses Machine Learning to recognize faces in the photos being uploaded. Using face recognition, Facebook helps you find users that are not known to you. This feature also helps in detecting Catfishes (fake profiles created using your profile picture).

The algorithm also has an amazing feature of text explanations that can help visually disabled people by explaining to them what’s in the picture.

· Facebook’s Bad Content Handling

Using the same tool, DeepText, Facebook has been hailing the inappropriate or bad content that gets posted. After getting notified by AI, the team gets to work to understand and investigate the content.

As per the company guidelines, we get to see a few things that are flagged as inappropriate content:

· Nudity or sexual activity

· Hate Speech or symbols

· Spam

· Fake Profiles or fraud

· Contents containing excessive violence or self-harm.

· Violence or Dangerous organizations

· Sale of illegal goods

· Intellectual property violations, etc.

· Facebook’s Suicide Preventions

With the same tool, DeepText, Facebook can recognize posts or searches that represent suicidal thoughts or activities.

Facebook has been playing a crucial role in suicide prevention. With the support of an analysis based on human moderators, Facebook can send videos and ads containing suicide prevention content to these specific users.

· Facebook’s Automatic Translation

Facebook has also adapted AI for translating posts automatically in various languages. This helps the translation be more personalized and accurate.

  1. Instagram with AI

Instagram is a photo and video-sharing social media platform that has been owned by Facebook since 2012. Users can upload pictures, videos (reels and IGTV) of their lifestyle, and other stuff and share them with their followers.

This platform is used by individuals, businesses, fictional characters, and pets as well. Managing all the data manually is next to impossible. Therefore, Instagram has developed AI algorithms and models making it the best platform experience for its regular users.

Instagram and the use of AI

· Instagram Decides What Gets on Your Feed

The Explore feature in Instagram uses AI. The suggested posts that you get to see on your explore section are based on the accounts that you follow and the posts you’ve liked.

Through an AI-based system, Instagram extracts 65 billion features and does 90 million model predictions per second.

The huge amount of data that they collect, helps them to show the users what they like.

· Instagram’s Fighting against Cyberbullying

While Facebook and Twitter are dependent mostly on reports from users, Instagram automatically checks content based on hashtags from other users, using AI. In case something is found against the community guidelines, the AI makes sure that the content is removed from Instagram.

· Instagram’s Spam Filtering

Instagram’s AI is capable of recognizing and removing Spam messages from user’s inboxes and that too in 9 different languages.

With the help of Facebook’s DeepText tool, Instagram’s AI can understand the spam context in most situations for more filtration.

· Instagram’s Improved Target Advertising

Instagram can keep a track of which posts have most of the user engagements or the user’s search preferences. Later, Instagram with the help of AI makes target advertisements for companies based on all such databases.

· Instagram handling Bad Contents

Since Instagram is owned by Facebook, more or less, Instagram also follows the same community guidelines over bad content.

  1. Twitter and Use of AI

On average, Twitter users post around 6,000 tweets per second. In such a case, AI gets necessary for dealing with such a huge amount of data.

Tweet Recommendations - AI in Twitter

Twitter firstly implemented AI to improve and give users a better user experience (UX) that would be capable of finding interesting tweets. Now, with the help of AI, Twitter also detects and removes fraud, propaganda, inappropriate content, and hateful accounts.

This recommendation algorithm works in a very interesting way as it learns from your actions over the platform. The tweets are ranked to decide their level of interest, based on the individual users.

AI also considers your past activities of engaging with various types of tweets and uses it to recommend similar tweets.

· Twitter Enhancing Your Pictures - AI in Twitter

Posting of pictures on Twitter was introduced in the year, 2011. Since then, it has been working over an algorithm that is capable of cropping images automatically.

Firstly, they created an algorithm that focused on cropping images based on face recognition, because not every image is supposed to have a face on it. Thus the algorithm was not acceptable.

AI is now used over the platform to crop images before posting them, to make the image look more attractive.

· Tweets Filtration - AI in Twitter

Twitter uses AI to take down inappropriate images and accounts from the platform. Accounts connected to terrorism, manipulation, or spam are taken down using this feature.

Twitter Fastening the Process - AI in Twitter

How did Twitter use AI to speed up the platform?

For this, Twitter uses a technique called Knowledge Distillation to train smaller networks imitating the slower but strong networks. The larger network was used to generate predictions over a set of images. Then, they developed a pruning algorithm to remove the part of the neutral network.

Using these two models Twitter managed to work over cropping of images 10x faster than ever before.

  1. AI in Snapchat

Snapchat started by acquiring two AI companies. In 2015, it first acquired Looksery, a Ukrainian startup, to improvise its animated lenses feature. Secondly, it acquired AI Factory to enhance its video capabilities.

· Snapchat’s Text Recognition in Videos

Snapchat uses AI to recognize texts in the video, which then adds content to your “Snap”. If you type “Hello”, it automatically creates a comic icon or Bitmoji in the video.

· Snapchat- Cameo Feature

AI in Snapchat can be used to edit one’s face in a video. Using the Cameo feature, the users can create a cartoon video of themselves.

From the above-mentioned renowned, we can extract a list of benefits of AI and ML in Social Media, which is given below:

· Prediction of user’s behavior

· Recognition of inappropriate or bad content

· Helps in improving user’s experience

· More personalized experience to the users

· Gathering of valuable information and user data.

AI has also helped understand human psychology, tracking multiple characteristics of your behavior and responses.

If you are looking for the best AI & Machine Learning Solutions Provider for your organization, Consagous Technologies is one of the best AI Application Development Company in USA. With years of experience, all the company professionals are great at their work.

Original Source:

https://www.consagous.co/blog/how-ai-ml-are-transforming-social-media

5

How to Create an Educational App: Features, Cost, and Business Models?

Covid-19 and the lockdown have changed the lives of almost all familiar lives. Many businesses closed down due to the pandemic. Others adopted various ways out through remote mode of working. In this race, education was no exception.

But these difficulties prove to be a blessing for the education industry. During the lockdown, this industry has experienced great changes. Online learning and Educational app development services received a great boost. The demand for e-learning mobile app development has increased swiftly. These apps have turned out to be a profit in the field of education, for society.

Today, in this blog we’ll tell you all about Education mobile app development, business model, its features, costs, etc.

Why e-learning mobile app development solutions are gaining popularity?

The e-learning mobile apps have several benefits. These benefits are categorized into two parts based on benefits to customers and businesses.

  1. Benefits to Customer

For personal users, these apps have a lot of benefits. Some are discussed below:

· Stress-free learning: These apps provide hassle-free learning, unlike the traditional education process.

· Engagements: These programs offer a huge advantage of keeping the students engaged in learning the topic being discussed. The retention rate has increased due to engagements.

· Setting your own pace: The educational apps provide the users with flexibility in learning hours. They can pause the lessons at any given time and can continue later from the same. Users can set their own pace based on their speed of learning.

· Developing new skill sets: Using educational apps on computers helps the users to develop their computing skills too. On the other hand, these apps help the faculties to get in the habit of computer-based teachings.

· Digital Literacy: You won’t accept it but these educational apps are solving many other problems also. These apps have made the tutors and the students literate when it comes to browsing and learning online.

  1. Benefits to Business

· Skill acquisition: Educating employees individually through apps could improve their skills. This also becomes a cost-saving benefit of education mobile app development.

· Improved Performance: Online learning provides a major benefit through improved performance of employees/trainees.

· Productivity Tracking: The administration of any company can track the progress of any trainee/employee and also identify their strengths and weaknesses respectively.

· Cost Saver: The implementation of e-learning mobile apps for training is way better and cheaper than opting for traditional training.

· Time-Saving: These apps save a lot of time as employees can pace themselves over learning. Employees can also learn during their free time at work. No extra time is spent on training sessions, etc.

Types of Educational App Development Solutions

Before talking about the creation of an e-learning app, you should be aware of the various types of software that are in demand.

Education mobile app development targets both learners and teachers. Types of educational app development solutions are:

· Apps for learning

· Apps for teaching

Apps for Learning

The nature of these apps is mainly based on the learning of end-users. These are for those who are mostly interested in content for learning.

There are various options of apps for learners, here are some of them that you can target.

· Apps for educational information: These apps are designed to strengthen and assist learning. They contain information and data related to several topics in the form of documents, audio or video, etc. based on a wide range of topics.

· Apps for any certain purpose: You can develop an educational app based on particular learnings like cooking, gardening, language, personal development, etc.

· Apps for kids: These apps are developed to simplify learning for kids. These apps are designed basically for kids so they would appear more creative, colorful, and playful. It would include poems, games, color filling, etc, helping the children to focus on creative learning.

· Apps for exams: Creating educational apps for training students for certain competitive exams is also a good option.

Apps for Teaching

The main idea of these apps is to assist the tutors in finding more exciting and beneficial ways of teaching or passing any information to the learners/trainees.

These mentioned below subgroups can be considered as educational apps for teaching:

· Apps for Planning

· Apps for Scheduling

· Apps for generation of analysis charts

Must-Have Features for Your Educational App

Given below are the features that must be included in your app.

· Sign up & Log in

· User Profile

· Search Tab

· Filters

· Language selection

· History

· Offline access

· Notes download

· Push notifications

· Live Classes

· Scheduling System

Analytics

These are the major and essential features that should be included in your app. They help to maximize user experience, keeping your app user-friendly and easy to navigate.

Business Model

In education mobile app development, it’s your call to decide whether or not to monetize your app. The truth is, most of the e-learning mobile apps are paid.

Still, take a look at all the available options.

· Free Trial: This feature in the education mobile app development involves offering your content for free but for a limited period, maybe for a week or two. After this, access to the content is available to you only after you make the purchase. This model is the best if you want to earn revenue regularly.

· Paid: Here, you make money in advance with every new user registration.

· Freemium: This educational app development feature involves access to very limited content unless the user subscribes through a payment. This model helps to gather a broad user base rapidly.

· Ads: In this business model, you earn through selling data-driven advertisement space in your educational mobile app development. You have options to do this either independently or you can collaborate with a mobile ad partner.

· In-App Purchases: This is a business model where users need to purchase or pay for using some interesting features available on the app.

Cost of Educational Mobile App Development

Like other apps, the cost of developing an educational app also depends on the time required by the developers for the creation and testing of the e-learning mobile app. It also depends on the variety of features that you wish to add to your app and the designs.

For hourly hiring of any developer, the average charges for mobile app development may range from 30 USD depending on the developer’s brand name and experience.

Even the smallest leak or bug in your app can affect your company’s reputation. Therefore, security also has to do a lot with the cost. Putting all these together, a basic estimate for an app would range between $15K to $30K.

Education mobile app development is the present and future of learning. You can see this as a long-term opportunity. In terms of revenue also, it is a favorable niche in the mobile app development sector.

Consagous Technologies is one of the best players in educational app development services. Our highly experienced team has got the best educational app development solutions to fulfill all your requirements.

Original Source:

https://www.consagous.co/blog/how-to-create-an-educational-app-features-cost-and-business-models

6

Best 5 Real-World Applications of Artificial Intelligence!

Best 5 Real-World Applications of Artificial Intelligence!

Whenever it comes to Artificial Intelligence, the brain automatically invokes pictures of humanoid robots taking over the whole world. But fortunately, the reality and the present pictures are way more positive than our imaginations. The development of AI has resulted to be so fruitful that almost every industry is benefited through AI application development services in some or another way.

In this blog, we will be discussing the real-world applications of Artificial Intelligence that have made great impacts.

Banking

The banking sector has been growing faster than ever before! Banks have started to adopt AI-based systems to detect anomalies and frauds in the system and to provide improved customer support and service.

For instance, let’s talk about the HDFC Bank’s AI-based chatbot named EVA(Electronic Virtual Assistant) that was developed by the Bengaluru-based team of Sensforth AI Research.

To date, EVA has interacted with over half a million customers, addressed over 3M user inquiries, and held around a million conversations. EVA is designed in such a way that it can collect and store knowledge from thousands of sources and can provide answers to your questions in less than 0.4 seconds.

AI and Machine Learning development services are also being used by the banking sector to enhance security. By card usage tracking and access to the endpoint, the security experts can now prevent fraud more effectively. The ability of AI - to detect fraudulent transaction patterns has saved millions of dollars.

Finance

Today trading depends on the ability of accurate market prediction. Ventures are relying on data scientists and computers to determine the future trends and patterns of the market. Machines have turned out to be great at this as they can crunch a huge amount of data in a very short span. The machine learning algorithms have also allowed them to analyze and observe patterns in past data and make predictions about how these patterns will follow in the future.

Nomura Securities, a leading brokerage house of Japan has reluctantly been pursuing a single goal i.e., analyzing the insights of the experienced stock traders using AI and computers. And after years of R&D, Nomura is all set for introducing a new system for stock trading.

Nomura’s latest system is believed to store a huge amount of trading data and prices in its computer. It will make all its assessments using this large data reservoir. No doubt, Nomura will be a great help for companies to make better stock trading decisions based on the market predicted by the system.

Marketing

Marketing has always been determined as a way to sugar coat your products to attract your target customers. So what if an algorithm is built solely for sugar coating and marketing a brand or a company?

In the early 20’s it was next to impossible to search an online store to find a product without knowing its exact name. But now, just search for a product and you get all the results related to that search. You get a well-defined list of relevant items.

For instance, finding a movie on Netflix. Today we are all obsessed with the ‘Netflix and chill’ trend, just because it provides highly accurate suggestions using its predictive technology based on the user’s past reactions to the films. After analyzing and observing millions of data and your previous actions and choices, it suggests you with those movies and series that you might like.

Healthcare

Nowadays, when it comes to saving lives, a lot of medical institutions and healthcare centers are dependent on AI. Today there exist many real-life examples where AI has helped patients across the globe.

For example, an organization named Cambio Healthcare developed a support system that uses patient data to identify those at a higher risk of having a stroke, gives warning alerts to the physicians to take precautionary measures and the system also recommends pre-emptive prescriptions on the screen, saving a life.

Automated Vehicles

Self-driving cars have been a buzzword in the AI world. The development of such cars will undoubtedly revolutionaries the automobile industry. Advanced and deep learning algorithms can make accurate predictions on what objects in the vehicle’s surroundings are likely to do.

A very famous example of self-driving and automated vehicles is Tesla's self-driven cars. Here, AI implements image detection, computer vision, and deep learning algorithms so that the cars can self-detect objects and drive around without any human involvement or commands.

Gaming

The past few years have been very transforming for the gaming industry, as AI has been an integral part of the gaming world. The gaming industry has turned out to be AI’s biggest accomplishment.

For example- DeepMind’s AI-powered AlphaGo software is known for defeating Lee Sedol, the world-level champion in the game GO. The software is considered one of the most significant accomplishments in AI-based software.

Just after its victory over the world champion, DeepMind created the advanced version of the previous software, naming it as AlphaGo Zero, which defeated its older version, AlphaGo in an Artificial Intelligence face-off round. Unlike AlphaGo, which was trained over time using a vast database and supervision, AlphaGo Zero taught and trained itself to master the game.

Apart from the above-mentioned real-life applications of Artificial Intelligence, there also exist other applications like social media, space exploration, education, chatbots, agriculture, etc. where AI is being used to make life easy and efficient.

AI and Machine Learning development services are a very vast concept in themselves and need very highly experienced professionals to work on. If you are looking for AI & Machine Learning service providers, Consagous Technologies is the only appropriate answer to all your questions related to AI Application Development Services. We are the best AI application development company in USA.

Original Source:
https://consagous.co/blog/best-5-real-world-applications-of-artificial-intelligence

7

SEO vs. Inbound Marketing: Know the Differences!

SEO vs. Inbound Marketing: Know the Differences!

Search Engine Optimization (SEO) and Inbound Marketing, generally performed by any Boutique marketing agency, are two high-standard activities that overlap. And the best part is the interconnection between both of them. One can’t perform some good inbound marketing activities without doing SEO and vice versa, thanks to Google!

So, are SEO and inbound marketing on the same page, or is there some sort of differences between the two?

The question regarding SEO vs. inbound marketing rises a lot. And that’s not very surprising because the line of difference between these two is too blurred. Both of these are important for websites and content marketing and can also be considered as strategies for each other, to a great extent.

The difference between inbound and SEO is more about the goals they target.

What is Inbound Marketing?

According to Hubspot, it is a business method that draws customers’ attention by creating valuable content and providing tailored exposure to them.

It is a means of generating leads without interrupting them. It maps your digital marketing solutions with the stages of the purchasing process in a systematic way that helps you to attract, convert, close, and delight the customers by pampering them with care and then finally turning them into your brand’s promoters.

Through the creation of valuable content that engages and meets a user’s need, they learn to qualify and develop preferences naturally. One creates a natural structure with appropriate call-to-action and reinforces all those activities with social media optimization, paid search, and other online marketing services.

If the above things go right, a website can start generating qualified and potential leads that are ready to take steps towards becoming a valuable paying customer with long-lasting relations.

For achieving the goals with a website, one needs to create appropriate content. And to make that content visible to the right audience at the right time, one also needs to make sure that the content is well-optimized for search.

What is SEO?

According to Moz, SEO that stands for Search Engine Optimization is the practice of growing the quality and quantity of visitor traffic to your website or landing page through organic search engine results.

Various algorithm updates in Google have made the search engine to be much more user-centric, which means that the more one does to meet an explorer’s need and services that need in an easy-to-use way, one’s search ranking will increase.

Performing keyword research, alignment of your website to these keywords, optimizing your site pages thoroughly, creating keywords optimized content, monitoring, and improving performance over time. These are the steps to your website’s SEO and when done correctly, it brings you to the top of the search results, and that finally gets you more traffic.

There exist many SEO tricks that can make your website rank higher. But if you are willing to generate high-quality traffic of potential leads and opportunities, you need to be sure that your content is structured and encourages the right kind of moves.

What’s the Difference?

Inbound marketing is a holistic approach to what content can do to generate potential leads. Whereas SEO is a strategy for increasing the organic traffic by optimizing your content with keywords, etc. for user queries.

If you wish to increase organic search traffic, you will need SEO. But, if you want to use your content over the website to generate leads, you need to practice some inbound marketing tactics like social media optimization, digital marketing services, and other online marketing services.

Inbound meets SEO Creating Right Content!

Inbound is a tactic for generating potential leads through content. SEO is a strategy for facilitating that tactic and putting the content in front of the right person and that too at the right time. The best thing for SEO is creating high-quality content assisting the explorer’s intent. Again, thanks to Google!

It is a very common practice but a misconception that focusing alone on technical SEO would lead naturally to increased traffic, bringing more sales. But that isn’t the real case. No doubt, traffic will increase, but there’s very little in the technical SEO that can turn any curious visitor into a paying customer.

Inbound marketing or digital marketing services are tactics that are built on the visibility of a well-optimized website and use value-rich content to fuel the sales funnel.

Not on-board with Inbound marketing and SEO yet? Or looking for the best SEO company? No worries.

Consagous Technologies, the best Boutique digital marketing agency is here to help! We are the best digital marketing company in USA. Our highly experienced and dedicated team helps you optimize your website, loaded with keyword-rich content that helps you rank better.

Original Source:
https://bit.ly/3aENwZH

8

Everything You Need to Know About an LMS Software!

Everything You Need to Know About an LMS Software!

LMS: What is it?

LMS stands for Learning Management System, a software and a well-known online hosting platform for delivering learning courses and other similar training programs.

As the name suggests, a Learning Management System is an e-learning mobile app or software solution that helps you to create, organize, manage, and deliver distance learning programs.

Focused highly on online learning, teaching, and training the platform is a virtually designed space where the students and mentors can get together and have all the required resources respectively. The online learning platform acts as a management system because it helps the mentors and faculties to create, organize, change, classify, and assign their courses online to the students.

In short, LMS software development consists of two parts:

#1. A user interface that runs inside your browsing application as a website, and is used by instructors, students, and administrators.

#2. A server component is assigned to perform the main functionalities like creation, organization, modification, and delivery of courses (including user authentication, notifications, etc.)

LMS: Uses and Functionalities

In simple words, anyone who is using an e-learning app or taking any online course is using a Learning Management System.

A Learning Management System can be used for all kinds of learning and training activities and has already become a valuable tool for business, adopted by small and large organizations.

Some of the very common use cases for LMS are:

Knowledge Retention

Any knowledge retention program assures that the valuable techniques and skills retain with your organization when any of your employees leave the organization. For this, it is suggested to use a Learning Management System, as you won’t prefer losing this valuable information by storing it in any document management system.

By using an education app development solution or any LMS software solution for this, an organization can make sure that everyone has access at any point in time to train newly hired employees or people from other departments.

Employee Training

Training the newly hired employees and interns or teaching new skills to everyone, is a constant need in many organizations.

Using LMS software will help you to reduce costs and save time by allowing your employees to study the available materials online anywhere they wish to and at their own pace of learning.

With LMS development companies enabling distance education and learning, organizations not only save a lot of time and costs compared to the face-to-face training sessions, but they also have sharp control and up-to-date information on the progress of their employees individually, thanks to the monitoring tools.

Education

Today, when this pandemic is affecting almost every industry, opting for an education app or LMS software development solutions, is considered a good choice for general education and related offerings.

LMS today can serve- a school by selling classes online, a company planning to educate its clients, or maybe an NGO that’s willing to educate the general population.

For these and other similar cases, online teaching has come to exist and is on the way to be the future of education and learning.

In general terms, LMS deals with the management and delivery of online courses and training programs.

Discussed below is a more detailed description of all the common features that any LMS software development solution offers.

Creating online courses - Before you make your educational app or course available to your target audience, you first need to add it to your LMS software development. You can do this by creating your course either from scratch or by importing the existing materials that you already have with you.

Organizing Courses - After creation, the next step is to organize the content that you have created. This can be done easily if you are offering a mini-course or a single course. And can be a complicated one if you have multiple courses to offer.

So this depends on the need and structure of the courses you are offering through your business.

Delivering Courses - Once you are done with creating and organizing your courses, you are all set to deliver them to your target audience. The way for doing this also depends on the same factors, i.e. need and structure of your business.

A modern Learning Management System should be serving all the cases and should allow you to handle and manage an entire course with an unlimited number of students, and should be easy to integrate with the payment processors.

Well-structured LMS software and educational apps should be responsive, user-friendly, and should offer intuitive navigation.

Managing Users - There are three types of users to get your platform started - administrators (the admin panel of people setting up the platform), students, and instructors. Sometimes, on a small scale, the instructor and the admin may be the same person, after all, setting up a friendly LMS platform is no more difficult than using social media like Facebook, etc.

On the students’ side, it could be your employees or students enrolled in the courses. Managing these users involves the procedure of registration, assigning them the respective course, interacting with them as instructors, arranging content, organizing tests, etc.

A modern LMS software automates all the recurring actions and allows you to make changes and updates to various factors. One of the essential functionalities that LMS software provides is the ability to real-time track the progress of students.

LMS: The working of deployment!

Deployment of LMS could be no easier, especially when compared to other types of software.

Usually, LMS is a software-as-a-service (SaaS) and is hosted in the cloud, i.e. it doesn’t demand any kind of installation.

There are generally three types of deployment options for LMS software.

#1. Cloud-based

Cloud computing is the preferred solution for most businesses and people as well unless you wish for full flexibility and the capability to make changes in the eLearning environment.

Server installation, monitoring, and upgrades are the responsibility of the administrator panel, and your cloud-service provider company will also offer various free or paid upgrade options and backup services.

These cloud-based services are usually available in custom packages so that one can choose the combination of features, performance, etc. as per their requirements.

#2. Self-Hosted (local deployment)

A self-hosted LMS platform is a web application that is sold more like a licensed product that can be installed and kept over a server.

This kind of option needs you to be familiar with the installation processes and makes you responsible for up-gradation of software, backing up of data, etc.

#3. Hosted LMS (Private Cloud)

In this option, you get a private and secure Learning Management System that doesn’t offer sharing of resources or codes with other firms, and also it offers you the best possible security and performance.

In general, there are certain advantages of outsourcing your online course or LMS software development. These are:

No extra investments in upgrades and maintenance.

Tested and approved model of teaching.

Saving time and money.

Specialized tech support

Easy configuration.

With complete LMS software development solutions, Consagous Technologies being one of the top e-learning companies in USA has the absolute best LMS software development solutions for those who wish to have, sell, and promote their e-learning courses over the internet, and that too without making any huge capital investment.

Original Source:

https://www.consagous.co/blog/everything-you-need-to-know-about-an-lms-software

9

The Myths of Software Testing Debunked

The Myths of Software Testing Debunked

Software testing is used to ensure that the software is bug-free with no processing and run-time flaws. It involves the execution of software components using automated and manual testing tools for the evaluation of one or more modules of interest.

The main objective of software testing and quality assurance services is to identify bugs, errors, functional defects, missing requirements, etc. But, despite the advantages of software testing, many false assumptions and myths loom about the process the software testing and quality assurance. These myths prevent the proper testing of software and lead to several other things that are a reason for the production of insecure application software.

Let’s get started and demystify the myths of software testing.

Myth #1 - Software testing doesn’t require any coding.

Reality - With the testing processes growing to be highly automated, the skills of scripting have turned out to be an important element. While preparing the test environment, the coding abilities of the testing engineers allow them to get comfortable. Perhaps, it is not a very essential part of the job, but the basic idea of coding is necessary for creating or suggesting scripts for the preparation, monitoring, and maintenance of the test environments.

Myth #2 - Testing is always very time-consuming.

Reality - It is a common talk around that testing procedures are time-consuming. But the real fact is that testing is carried out parallelly with the software development process, so it’s irrational to say that testing takes a longer time. Comparatively, the debugging processes are longer because the rectification of complicated bugs requires more effort and time as well.

Myth #3 - No design exists in software testing.

Reality - Testing engineers do follow a design-oriented approach for efficiency in the workflow as software testing is all about coming up with a new design to explore other designs.

Myth #4 - Expenditures on testing are unnecessary.

Reality - People think that it is no worth investing much in testing but the reality is that if software testing and quality assurance are performed correctly then you can save a lot more on software maintenance costs because repeated maintenance is much costlier than one-time testing.

Myth #5 - Developers need not know the testing concepts.

Reality - Testing concepts are necessary to be known by developers as they need to execute the test on their code in order to ensure the quality of any newly-added feature and its functionality. They need testing concepts for making a product that is more test-friendly and has improved quality of codes with better implementation tactics along with outstanding designs.

Myth #6 - Testing engineers need an application to test

Reality - It is not a hard and fast rule or necessity. Instead of any application, testing engineers need a design or an idea to test. With proper planning followed with execution, the testing engineers can go a long way without any application - helping them to perform testing productively.

Myth #7 - Software Testing is only related to finding bugs.

Reality - There’s no denying that finding bugs is one of the prominent tasks of testing but software testing is not only limited to finding bugs. Several other things are checked while software testing and quality assurance. The functional and non-functional requirements of the software are also checked during testing. A testing engineer needs to understand the complete structure of the software and its working along with interaction in a given environment.

Myth #8 - Software Testing is a boring task.

Reality - Testing is neither boring nor a repetitive task. Moreover, testing is a process including investigations, discoveries, and learnings. It is more about trying and checking on the functionalities of new features. Testing presents you with new challenges every day.

Myth #9 - A software is completely bug-free after testing.

Reality - This kind of final result is very hard to achieve. Even after a top-level of testing, there is no 100% warranty that the bugs would not occur after the deployment of the software. There is always a possibility of getting new bugs during regression testing even after the removal of previously indicated bugs.

Summing Up

Despite the above-discussed myths, the process of testing is focused not merely on the detection but the identification of the sources of the bugs. The main purpose of software testing and quality assurance services is to provide an effective examination of the software bottlenecks along with excluding all the possible bugs and flaws that may cause damage to the users’ data, other works of the system, etc. There exist no ideal process for overcoming these myths but, some ways would enhance the process of software testing and quality assurance through best practices.

Due to various reasons, it is always suggested to outsource your software or application for software testing and quality assurance services. Today, there are many top-class software quality assurance providers like Consagous Technologies with cutting-edge technologies for software testing and quality assurance. We are also the best players when it comes to software or mobile app development.

If you are looking for flawless software testing and quality assurance services, head directly to www.consagous.co

Original Source:
https://bit.ly/349qcjp