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Is Augmented Reality the Future of Social Media?

The world of social media has created a new kind of community or society that never existed before. It has transformed our ways of interaction and communication with each other forever, and it will be very difficult to let go of it.

Because social media is a trend, the technologies backing it up have been plenty, and more of them have been collaborating over the years. Joining this bandwagon is the Augmented Reality technology, or AR as we call it.

Thanks to AR VR app development, Augmented Reality has been one of the upcoming technologies to have a big impact on the whole social media app scenario. Such has been its force that innovators are calling it the next big thing in the world of technology as a whole.

If you compare AR with the other existing technologies, it exists somewhere between the real and virtual worlds. There’s also no denying the fact that making use of virtual technologies in real-life situations makes it a truly immersive experience for the users. 

Augmented Reality- An Overview

Augmented Reality, or AR, has time and again been confused with Virtual Reality. While both the technologies are closely related, there are subtle differences to separate them from each other.

While Virtual Reality focuses on creating an entirely new world from the beginning, Augmented Reality works the other way round, taking real-world situations and projects on the virtual route through computer-generated augmentations, enhancing the final customer experiences.

How AR has Transformed Social Media

Given the popularity, AR VR services have increased too, where companies have a dedicated workforce of scientists to unearth the potential that AR holds. The very first instance you might have noticed with AR in front would have been those Snapchat filters. They were so easily available, that a lot of people never heard about Google Glass. 

One of Google’s most ambitious projects and also one of its widest failures, Google Glass was a revolutionary idea that was aimed to make digital content available to customers laid out in the world around them. Despite every bit of effort, Google Glass could never find takers in the real market.

Thanks to smartphones though, AR VR app development became a reality. Snapchat, Nintendo’s Pokemon Go game, and the recently introduced LiDAR scanner in Apple iPads have made AR accessible to the masses in a form where they get accustomed to it quickly and smoothly.

The Future of AR in Social Media

Extended Reality app development will be the way to proceed ahead, no two ways about it. As for this future, AR has enough potential to affect huge brands in the time to come. Nobody will have a better time making use of AR than brand marketers and strategists, having the unique opportunity to present their products and services in a very unique way to their target markets.

Here are some of the instances of how AR will impact social media in the future-

AR-enabled Social Media Stores

Social media apps like Instagram already offer shopping options to their users, but AR technology will make this entire process much more immersive. 

Customers will be able to witness a virtual store from their place in real-time, try out the products you have on offer, and even buy them online. Impulse purchases have a chance of increasing manifold, given the lifelike nature of this experience.

Videos with AR

Many brands will be able to ensure a better range of customer engagement initiatives with extended reality technology services, and interactive AR videos will become a big means to that.

These videos can range from product demos or service experiences once a user purchases either of them.

Live Events

Have a look at the recent product launch events by Apple, Google, and other brands and you will realize that these events are not at their auditoriums, yet you can access them from the comfort of your home.

AR technology allows more, like playing AR-based games with other members of the gaming community for particular games. Brands are already implementing this technology more and more, given how it enhances the overall experience of all the users.

Conclusion

Instagram, Snapchat, and Facebook. These three apps and more of these have made AR a very integral part of social media. These apps are not just allowing the users to make more use of the AR features, but are also giving them the right tools to create their own AR experiences.

Consagous Technologies is a leading company, providing Augmented Reality mobile app development in the USA to clients all over the globe for more than a decade. You can connect with your requirements and be sure of getting professional solutions as needed.

Original Source:

https://www.consagous.co/blog/is-augmented-reality-the-future-of-social-media

Watching the Transformation of Social Media in the Past Decade!

The era of social media hit great advancements with the introduction of Facebook, Linked In, etc. A decade back, many predictions were made about social media. Some anticipated that it would fade away, while others claimed that it would bring new waves for businesses.

From the beginning to present times, in the race of social media application development, several different social media platforms came up and vanished quickly because they lacked the optimum user base.

Just like other entertainment & media app development, there are only a few top social media apps that have gained maximum attention and luckily they have this from the time of app launch. The reason behind this is - there always exists an uncertainty that the app being new, would stop working, which makes the user conscious about privacy and therefore they count only on the top-rated apps.

 



Let’s see what transformations headed towards in the social world in the past decade:

Real-time interactions

The time is long gone when getting the latest information on the happenings around the world was done through the newspaper. Today, people receive the information at the moment something happens. For this, social media is playing a very important role. Social media users can make any news or video go viral just in seconds. Businesses these days are monetizing and leveraging social media offerings to go viral and trending.

Expanded to businesses

Social media is no longer limited just to making friends or to connecting with friends online. Slowly but for sure, the value of marketing over social media began to appeal to the local businesses rather than just normal individuals. Marketing professionals soon understood that the world is going to travel through social media. Nowadays, a business without a Facebook page may not be considered a business in many aspects.


Used for enhancing CX

Social media platforms are strong marketing tools because customers these days don’t like ads. Using social media, brands and marketers are allowed to interact with the customers on a different and relatable level. Not only this, but social media also provides them with the potential to create more meaningful customer experiences. It allows the customers to raise their concerns and suggestions.

Conversations rather than Ads

The potential to talk directly to customers is extremely valuable and having a healthy interaction may provide better returns. Social media encourages such conversations with its new features and various content curation tools allowing users to enhance their social media experiences as per their preferences. Customers these days are more likely to skip ads, but would positively respond to a message.

Emerging Artificial Intelligence technologies like AR & VR

The social media platforms are aware that embedding the latest emerging technologies is the only way to hold on to the existing users and attract new ones. AI technologies like AR, VR, and other machine learning algorithms are turning out to be a hit on social platforms, giving users an ultimate interface and experience.

You must also read: How AI & ML are Transforming Social Media?

Video Content and Live Streaming Sessions

In the last few years, video content on social media apps has grown to be more prevalent. From Youtube to Instagram, almost every top social media platform has video streaming services. There are thousands of content creators on Youtube and other social platforms. Live streaming has also been popular lately, empowering influencers, brands, etc. to provide interactive live sessions to their audiences instead of scripted videos. One can also invest and expect good returns in media and entertainment app development like video streaming apps.

Read this to know more about Video Content: Future of Marketing in Social Media?

Making Brands Appear More Relatable

Social media sites have provided marketers with powerful platforms for storytelling. Unlike previous generations, customers these days are more inclined towards authenticity and prefer to spend on brands that appear more human and relatable than the old-school marketing platforms. The storytelling concept is unique to consumer experience and the brands profit from this by telling their brand stories and relaying values.

Going through the above-mentioned points, ultimately, social media today is not exactly what it used to be a decade back. And it is also a fact that it won’t be the same ten years from now. The present scenario is quite exciting with all the possible technologies.
 

To succeed in the long run, one needs to pay attention to these changing trends and learn what works best for their niches for social media.

If you wish to be a part of this trend and you are looking for a social media development company, there can be no better choice than Consagous Technologies.

Consagous Technologies is the top and best social media app development company. With our highly experienced team of developers, we bring you the absolute best social media app with cutting-edge technology-loaded features and whatnot. Our team has experience in serving clients from various industries. We are also a top mobile app development company in the USA. To know more about us visit consagous.co now!

Modern Learning Management System With Performance Driving Features

 

One of the best tools for this is the modern learning management systems. Organizations from diverse industries are investing in modern LMS software development in order to boost the performance of their workforce with increased productivity and higher returns.

 

Using modern LMS software improves the overall performance of training with easy and more accurate tracking, reporting, certification, etc.

 

 

Companies are deploying these new-age LMSs to enjoy the following business benefits:

  • Reduced costs, unlike traditional instructor-led training.
  • Delivery of customized e-learning courses for diverse audiences.
  • Enhanced knowledge and skills proficiency with the delivery of personalized content for training.
  • Increased expertise for the effective administration of workplace training programs.

With the delivery of the above benefits, the modern LMS has made a shift towards implementing performance-driven solutions. The key features of modern LMS software development solutions include the following:

 

  • Easy Navigation

    The e-learning content available on the LMS can be accessed anywhere and anytime. Modern learning management systems provide an interface and functionalities that are easy to navigate and allow the trainees to learn at their own pace. Hence, an automated UI helps the trainees to quickly register, begin sessions, track progress, etc. just after installation.
  • KPI-Driven Training

    These modern LMS are embedded with the systems of an organization to assemble KPIs. KPIs refer to Key Performance Indicators and are used for the purpose of performance metrics creation. Using the KPI metrics scores, the e-learning platform assigns personalized training to fulfill appropriate learning needs and performance targets. The KPI-driven training enables the analysis of limitations due to skill gaps and solutions in the form of relevant training content to fill those gaps.
  • Collective Learnings

    Collaborative and social learning features such as surveys, forums, ratings & reviews, etc. allow the whole team to come together along with managers, team leads, trainers, etc. Companies observe the advantages of collective learning as it allows the complete team to come together, share ideas, practice brainstorming, and learn efficiently from each other’s experiences.
  • Analytics to Increase Returns

    In this digital world, it’s an important need to make use of analytics features for the determination of the return on investment made on training. For example, these modern LMS software development solutions allow to automatically track and generate reports on learner performance. Later these reports are used for detailed analysis of the KPI scores.

    The KPI data is then assembled with the sales targets and generated revenues to bring out the overall impact of training sessions on the performance and retention level of employees. With the analytics feature, identification of the need gaps in a company and delivery of customized training content to fill those gaps can be done super-quick.
  • Gamification

    This feature serves as a feasible solution to hook interested audiences with an interactive learning experience. Rewards, prizes, badges, and leaderboards encourage the corporate workforce to actively participate in these training and to perform better. The ultimate goal is to attend training sessions, complete levels, gain recognition, score points for better ranking on the leaderboard, and reflect the overall learning experience in post-training performances.
  • Microlearning

    Delivering micro-content is also a major feature of LMS software development that focuses on delivering short content that is easily accessible and understandable across mobile devices. The feature of microlearning splits relevant information into small sessions in the form of games, pdfs, videos, slides, etc. There’s no doubt that when any lengthy course is compressed into small content and delivered, it boosts the overall engagements with enhanced retention levels.

So, the above-discussed are some of the major key features of LMS software development. These features are shaping the bright futures of corporate training and development. The other features that are included in LMS software development solutions are assessment engines, virtual classes, video libraries, content management, and many more.

 

With the top e-learning companies getting into LMS software development, the focus is shifting more towards delivering returns-based and performance-driven learning, the scope of modern LMS deployment has reached a new height.

 

If you are looking for the best LMS development companies to make healthy LMS implementations in modern corporate environments, Consagous Technologies is an ideal choice. Consagous being one of the top e-learning companies in USA brings you the most feasible and cutting edge solutions. Our LMS software development team includes highly experienced developers working day-in and day-out, to bring out the absolute best-personalized products to meet all your requirements. 


To get more details about Consagous’ software and mobile app development services, connect with the team at consagous.co.

AI and RPA: What’s the Difference and Which is Best for You?

Today, Robotic Process Automation (RPA) and Artificial Intelligence (AI) are the two most successful technologies. These are the best tools for companies when it comes to the accomplishment of apparently conflicting objectives. These objectives could be anything like boosting employee morale and customer delight or reducing costs, etc

Let’s discuss the specific offerings of these technologies and how these are best used. 

Augmenting People with Process Automation - RPA

Robotic Process Automation deals with using specialized bots, for the automation of repetitive and recurring business workflows. These RPA bots are specialized to perform the same task every time. They don’t have the potential to learn from what they perform and also they can’t develop any new improvised way of doing the assigned task on their own. They are more like smart virtual assistants doing repetitive tasks and setting employees free to focus on other valuable tasks. All they need is instructions with maximum effectiveness.

Using RPA solutions for augmenting people will benefit organization with: 

  • Speed - faster completion of tasks.
  • Efficiency - more efficient outputs
  • Accuracy - no human errors
  • Improved morale of employees - can focus more on important tasks
  • Compliance - following the rules precisely
  • Reliability - can keep working round-the-clock, with least delays

RPA solutions are best for automating straightforward workflows but when processes are more complicated, at this point Artificial intelligence can work and take the automation process further.  

Boosting Automation with Artificial Intelligence - AI 

AI application development services deal with computing machines that imitate human intelligence processes which include learning, reasoning, and problem-solving with self-corrections. These machines have the ability to acquiring of information, using the information to reach conclusions, and learning from experiences. The general AI applications are - optical character recognition, image recognition, chatbots, voice recognition, etc.

Artificial Intelligence is a technology used to replace human labor and automate the workflows end-to-end. Whereas Robotic Process Automation is used to work in association with employees and automating repetitive mundane tasks. 

AI is capable of using unstructured inputs and develops its improvised logic to perform efficiently. Whereas, RPA is bound to use the utmost structured inputs and logic as well to perform with effectiveness.  

Combining these two smart technologies i.e. RPA and AI can create a truly independent process. Organizations have both structured and unstructured data, many workflows require both the technologies to switch to complete automation of any process. This can also be done to advance the Robotic Process Automation once it has been implemented. 

Enabling End-to-End Automation - RPA + AI

End-to-End automation is the only key to enable the self-service options that customers these days want. 

For instance, consider if a customer wants to open a new bank account. An online account opening service of a bank that is fully automated using Artificial Intelligence and Robotic Process Automation will surely result in the next level of customer satisfaction, saving time and efforts. 

The chatbots will guide the customer with the processes along with direct links that will take the customer to the relevant page where he can fill the digital form. After submission of the form, the customer will be guided by another bot for completing the KYC documents verification. An intelligent OCR then analyzes the documents that are scanned and uploaded by the customer. 

Once all the required data is organized, the bot executes the process for opening a new bank account, connecting with the bank’s back-end systems. If the customer data meets the eligibility, the bot automatically sends a welcome message to the customer along with other account information, and credentials.

Consagous - AI and RPA solutions

Consagous Technologies is the best AI Application Development Company in USA and helps you pinpoint the most optimal workflows to automate your operations. We will get you covered with the implementation of the best AI and Machine Learning Development Services and top-class Robotic Process Automation tools. We know that the necessity of automation begins immediately as the companies can ensure compliance, cut costs, increase output, etc.

With success comes the impetus to automate more workflows. With the change in needs and requirements, Consagous helps you grow, bringing all automated processes under one umbrella. Being the best AI & Machine learning service provider, we integrate Robotic Process Automation tools with several AI application development services and technologies like chatbots, OCR, image recognition, algorithms, etc. 

Common Mistakes to Avoid During Mobile App Development in 2021!

Today several apps are being developed by any XYZ custom mobile app development company. But, not all of these apps succeed even when they are designed and developed by keeping all the aspects in mind! Why? This is because the mobile application development company ignores many important factors that are necessary for developing any mobile application. Mistakes like not focusing on your - target users, important in-app features, visibility, etc. are very common.

When you ignore these key aspects while app development, there are maximum chances that your app will be nothing more than a failure in the market. It doesn’t even matter how dedicated developers you’ve hired! All your invested capital, time, and efforts will turn out to be a waste.

Therefore, it is suggested to focus on these common mistakes instead of over-using resources on your app functionalities.

 



While developing any business app, the developers unknowingly commit some very common mistakes that can be specifically characterized and discussed in two segments based on design and technology.

#1. Design-specific mistakes in App Development

i. Less becomes More when Displayed on Bigger Screen

The display technologies have seen major changes over time. With the increasing screen size of smartphones, it should be very necessary for developers to display all the features of the mobile app on the main screen itself. The users, these days, quickly get distracted by new apps with their visual appearances and it gets very difficult to retain them.

So it is very important to keep your app visually appealing but simple. To make it easy for the users to relate between the different screens of the app, try focusing on the visual elements available. Keeping your app visuals to be very simple and classy, will make it look more alluring to the users.

ii. It’s not OK to keep a similar UI for both Apple and Android app.

Another common mistake by any custom app mobile development company is - they apply similar UI designs for both Apple and Android apps. No doubt that both Playstore and Appstore are apps marketplace, but, these two are different platforms and need different designs. And unlike Android, not all UI designs are okay when developing apps for Apple.

The developers strictly need to keep the above point in mind and also if YOU are an app developer or if you own any top mobile app development company please be sure that you never commit such a mistake.

iii. Do Not Complicate about the UI and UX. Keep it Simple.

As briefed in point (i), if you want your app to be successful, be very sure that you keep it the least complicated. Both the UI and the UX need to be very simple and classy because it’s 2021, and simplicity embedded with top-notch technologies is - the new normal. You should make sure that you are delivering something that has zero complications. The moment users identify your app as complicated or difficult to understand, they will skip your app and this will be the only reason that they uninstall it and won’t get back.

So it is important for any custom mobile app development company or developer, to think and understand any app’s UI/UX from the users’ point of view.

iv. Fancy Fonts could be Dangerous

There’s a misconception trending among the developers that the use of fancy fonts makes the UI of the apps attractive. When developing a mobile app, this misconception is misguiding the developers for not choosing regular fonts like Roboto for Android; and San Francisco for Apple devices.

And make it very clear that choosing a specific font for your app needs licensing and if you use any such fonts without getting it licensed, the development cost of your mobile app would increase by 2000 USD or even more. Too much fanciness can turn out to be dangerous for your budget for mobile app development. Therefore, it is suggested to use simple fonts which are easy to be licensed.

#2. Technology-specific mistakes in App Development

i. Don’t remain stuck to a single Platform.

When it comes to deciding a base platform for launching an app, developers generally prefer to choose Appstore and not Playstore. Undoubtedly, iOS devices have a dominating market among the custom mobile app development company in the USA. But, one should always remember that Android has a global audience and it serves as a more powerful platform than iOS when it comes to targeting the world outside the United States. And, as discussed earlier, always do keep in mind that both the platforms are different.

ii. Avoid underestimating the importance of Research.

Before you begin with the development of an app, detailed research is very important to be planned and should be thoroughly executed. You need to have an idea about your target audience, their choices, likes-dislikes, necessity, etc.  

Incomplete research and wrong analysis will lead to the development of an app fully loaded with features but at last, it comes with no guarantee that the audience will ever require such kind of in-app services that you are providing through the app. So, it is always a better opinion to perform extensive research, and based on the research reports, you take any decision regarding the app development.

iii. Stop undervaluing- the importance of advertising  

The amazingness of your app is of no use unless and until your audience is aware of your existence. The app won’t be selling itself to the targeted group of users. It’s your call to action to show your app’s existence to the right users at the right time and this goes a long way in advertising. This kind of expenditure will add up to your costs and therefore, it is necessary to include them while budgeting.

You will also need to focus on the advertisements of your app updates. A Mobile app development company like Consagous Technologies will be a great help and a trustworthy source for such updates.

iv. Beta-Testing

A common mistake made by the development team - not beta testing the mobile apps before they are launched. Overlooking this thing generally ends with the existence of hidden issues like UI glitches, malware, bugs, etc. These flaws could ruin the app and can also cause harm to the user’s data.

Closing  

Developing an app with mistakes can not be accepted, as it directly affects performance and leads to failure. Overcoming these mistakes is an excellent idea for the app to become great. After finding out these mistakes, be sure that you won’t repeat these. Avoiding these mistakes will improve your app quality, performance, and usability.

Read this: Development of an OTT platform

If you are new in the industry of mobile app development, you can outsource the development processes. Consagous Technologies is the best mobile application development company in USA. We have a highly dedicated team of experienced developers who will guide you through the complete development process with required budgeting and much more. We have got the absolute best solutions when it comes to mobile app development. Contact us for more information related to flawless custom mobile app development services in USA.

Bots and AI: The Future of Software Testing and Quality Assurance!

Software testing and quality assurance services at present are crucial processes and are performed in parallel with software development for delivering the best level of quality. Artificial intelligence when integrated with testing services makes it even more efficient. In this blog, we will discuss the benefits and effects of AI and bots when implemented with these testing processes.

Software testing and quality assurance are very important processes and follow effective testing procedures and techniques to make sure that the customer receives the best quality software or application. These processes are a very essential part and are taken up along with the process of software development for delivering the best level of quality and customer delight through flawless application or software development.

 



At present, with the DevOps and agile practices on the go, the software testing and quality assurance processes have taken a shift-left approach. In this approach, the process of software testing is taken up along with the development, and both of these run parallelly.

Previously, with the waterfall approach, software testing and quality assurance were performed manually and were the last step in the software development life cycle (SDLC). This process being in the last phase of SDLC led to a lot of flaws and bugs, missed timelines of projects, and resulted in extra expenses. But today with continuous improvements, integrations, and continuous deliveries planted in DevOps, software development has taken a shift-left approach as discussed earlier and moved slowly from manual to automated testing.


The Progression of AI in Software Testing and Quality Assurance

It was observed that the companies could attain a lot of benefits such as quality products along with faster & continuous releases just by leveraging test automation. Still, their hunt for faster and increased returns on investment and full automation led to the innovation of Artificial Intelligence.

Gradually, the era of automation and smart AI-driven software testing and quality assurance has come into existence. This AI is more like an umbrella term with the latest technologies and a set of algorithms that allow the systems to mimic human intelligence. A wide range of these algorithms is developed using robotics, natural language processing (NLP), machine learning (ML), cognitive computing, computer vision, etc.
AI Bot in Software Testing

It is necessary to note that for software testing and quality assurance, most of the processes are recurring because the software or application features need to be tested many times before launch. It is about giving different inputs and compiling them to check the expected outputs. Such processes stand out to be the best and effective ones for applying machine learning for training purposes of the AI Bots.

AI bots are nothing but AI-powered chatbots being used to stimulate human interaction in the form of chats with the users. Working like humans, these chatbots ensure tasks’ automation, etc. Still, etc. Still, and save a lot of time and costs.

Significantly for AI-powered bots to operate with software testing, one needs to have the goals to be specific and more defined, for use. The software testing and quality assurance team need to be well aware of the functioning of AI to reap all the benefits of AI bots in the process of software testing.

The AI-powered bots are built around NLP and Machine learning algorithms and deliver many loads of benefits when used in quality assurance and software testing.
Benefits of AI-powered Bots in the Process of Software Testing and Quality Assurance

    Improves accuracy as no human interference means low/no errors.

    Can be used to generate test codes automatically.

    Helps in improving quality by increasing scope and depth of testing.

    Codeless tests can be performed.

    Enhances test automation process easily.

    Automation of test execution.

    Doing a quick analysis of test results.

    Making the tests easier and faster.

    Automation bots can be used to run parallel tests and auto-tune tasks to the next and advanced level.

    Can be used 24x7 and debugging can be performed adequately.

    Can be used to run time-consuming tests

    Helps in enhancing the testing quality and allows the team to work more viably on various projects.

The Effects of Bots and AI on the Future of Software Testing and Development


1. Debugging adequacy

We are already aware that AI-powered bots can work 24x7. Using this feature, the bots can be put to good use of debugging projects overnights which can be done by expanding the run-time of testing. After this, the testing managers can directly examine the test outcomes and work over the errors.

More developed automation can see self-modification of codes to settle the bugs.


2. Advanced continuous testing

Utilizing AI in robotics for advancing continuous testing can expand the extent of ongoing testing processes. Utilizing AI software testing and quality assurance again and again for performing the grunge work can enhance the quality of testing, hence, enabling the team to work more efficiently and viably on other projects.

3. Scope and workloads of testing

A typical issue with software testing is that as a project is being developed, the frequent testing parameters raise the workloads for the team.

But, using AI-powered bots, the testing managers can reconstruct the test for incorporating new parameters and the testing coverage can be raised without the addition of any extra parameters to the workload.


Conclusion

AI in software testing and quality assurance identifies the need for the final result and produces codes for hundreds of tests in a very less time.

AI and bots are no more a buzzword, rather they are today’s reality. The statement is equally valid in software testing and quality assurance services, like anywhere else in this world. The role and benefits of AI and bots in testing are just an edge of what AI is.

If you are wondering about AI and bots implementation in testing, Consagous Technologies is one of the best software quality assurance service providers in testing. Get in touch with us for flawless software testing and quality assurance services.

Original Source:

https://www.consagous.co/blog/bots-and-ai-the-future-of-software-testing-and-quality-assurance

What can AI do for your Learning Management System?

AI has been providing myriad benefits to a huge majority of Learning Management Systems by enabling a broader range of forward-thinking approaches to the learning experience of the employees. The AI-based LMS’s work in a way to streamline the way information being fed to the learners or trainees. It also enhances personalized corporate learning in the best possible ways, providing the learners with a flawless learning experience.

 

Such AI-based LMS software development allows the learning and development team to look out and identify the areas of knowledge that need to be consolidated and also enable the emphasis and optimization of necessary and important pieces of information.

 

 

AI also brings in the consideration of accurate suggestions on - the best ways of presenting and curating information arranged with the needs and choices of the individual users. 

 

What is an AI-based Learning Management System?

 

Commonly, companies are not very aware of the AI-based LMS.

 

As the name suggests, it is an AI-based learning platform or software developed using a specific set of algorithms to make predictions on data and learn. If you are still wondering that how it works and assists in learning, the Machine learning Learning Management Systems can provide the best learning experience to the users by feeding them with relevant information.

 

The AI-based LMS software development offers a wide range of challenging and unique features that have been discussed here.

 

#1. Learner Personalization and Content Recommendation

 

An AI-based LMS provides recommendations related to content for the passing of any information among employees effectively. Personalized learning based on needs and preferences is an essential part of optimal learning strategy. When the focus is on learning, the learners are more likely to be inclined towards progress through the relevant and useful course content you provide to them. Personalization is specifically important for the dispersed and diverse workforces as superior LMS tools provide a world-class level of reading.

 

#2. Smart Content Importing

 

The process of content importation is made more natural by AI-based LMS whereby a cloud-based system is utilized, which means that all you need to do is importing your unique content and then LMS will do the rest. Consagous Technologies is the best LMS development company and its authoring tool is a great solution as it uses current and accurate data-driven insights to the authors. Undoubtedly, the insights that we provide are unparalleled, whereby they report on the most optimized sequence for maximum retention, the impact of duration on completion rates, etc. 

 

#3. Smart Monitoring and Reporting

 

Best AI-based Learning Management System platforms provide their users with smart monitoring and reporting options for tracking the progress of learners effectively. Insightful reporting and data are very essential for observing the progress of the learner and figuring out his areas of strength and the areas that need to be improved. Statistical data such as correct answers, completion rates, average performance, and effective modules can be analyzed for the continual improvement of the course content and learners’ knowledge as well.

 

Consagous technologies also offer push notifications feature in their LMS software development solutions to keep the users updated with the new courses and reminders for completing the existing test modules. The notifications directly popups on the mobile’s lock screen where it is most likely to be viewed and acknowledged. 

 

#4. Smart Transformation of Content

 

In this dynamic environment of learning, smart content transformation in LMS software development is an important step towards the creation of competitive advantage for your organization. An effective authoring tool will allow the transformation of the content so that it is compatible with both iOS and Android devices whilst remaining perfectly formatted, crucial for effective delivery of lessons and learner delight. Our advanced authoring tool can also be implemented in your existing learning solutions, and can also be used independently.

#5. Smart Knowledge Collection for Improved Retention

This feature allows the accessibility of information to the learning users for gradual implementation of essential knowledge in learners’ memory for the long term. For improvement of retention, the constantly available knowledge is very beneficial to learners as they can memorize the previously learned information until they have a complete grip over the complex concepts.

 

Making a revolutionary and notable move, Consagous Technologies has introduced the idea of data-driven authoring, whereby each of the templates will be providing live data usage to the users, enabling the authors to get maximum insights for constructing the best learning modules for maximum engagement of the learners.

 

#6. Curation and Distribution of Content

 

Curation and distribution of content in LMS software development come with a vast template library loaded with ready-to-use, aesthetic, and responsive templates that are made available for the elements of the learning experience, helping out the learners of the course with videos and images and also accommodating their needs and preferences accordingly. Curation of content is done in a very interactive and engaging way for the learners. And rest of the hard work is done by us, leaving you to focus on the creation of effective learning materials. This means that no coding or scripting knowledge is required.

 

Summing Up

 

All the features discussed above, make your LMS software development, unique, user-friendly, and secure.

 

If you are looking for top e-learning companies in USA that provide effective and pocket-friendly LMS software development solutions, Consagous Technologies is the absolute best solution for all your problems. We help you with a supportive and dependable platform that will be developed as per your needs and requirements. 

Choosing the Best Telemedicine Platform for your Healthcare Practice

After the debut of telemedicine in the late 1950s, it has been greatly contributing to the transformation of the healthcare and medicine industry.

However, healthcare companies worldwide still are facing a very hard time making decisions between the various telemedicine platforms that are available out in the markets either in the form of software or telemedicine app development solutions.

To bring things down to a lower level, we have tried and listed the various types of platforms of telemedicine and we have also got you covered with "How to choose the best one for your organization?".

Types of Telemedicine

We have got to see the three types of Telemedicine

1.Remote monitoring
2.Real-time interactive medicine
3. Store-and-forward

In. Each of these categories has a crucial role in the healthcare industry, and when implemented rightly, these can offer tangible advantages for both healthcare providers and patients as well.

1. Remote Monitoring

Commonly known as ‘Tele-monitoring’, remote monitoring is a practice that makes the healthcare professionals capable of monitoring the vital signs and activities of a patient and that too while sitting at a different location.

Such telemedicine apps are frequently used for the administration of patients holding a high risk, including the critical patients who have been released from the hospital recently but have not yet recovered, or the patients with chronic diseases, or those with severe heart issues.

For example - Telemonitoring can be used for diabetic patients for recording their glucose levels and sending the reports directly to their respective doctors.

2.Real-time Medication

Interactive services can present instant advice to patients who need medical attention immediately. There are various mediums leveraged for this work, including phone calls, video conferencing, home visits, online calls, etc.

A professional’s consultation for discussing the symptoms and past medical records of the patient can be done, followed by the evaluation of their recovery or progress mostly conducted during face-to-face appointments.

There are various telemedicine app development

For instance, Teleneuropsychology is particularly this type of telemedicine which includes assessment and consultation over calls with the patients. Some standard procedures for evaluation are put to use to assess the patients through video conferencing.  

It was found that this method provides a feasible and reliable substitute for traditional face-to-face consultation visits.

3.Store-and-forward

Also referred to as ‘Asynchronous Telemedicine’, store and forward telemedicine is a process done by the healthcare providers where they share the patient’s medical information and reports with any physician, or any specialistic who might be at a distant location.

This is more like an email, but this is done through a sophisticated and secured platform maintaining the patient’s privacy. Store-and-forward telemedicine is a way out for the primary medical care providers, the patients, and the professionals to get together and examine the processes data gathered during the inspections, at suitable times. This approach gives patients complete access to a team of healthcare providers in distinct locations.

This kind of methodology is specifically favored for treatments that involve certain specialties like radiology, dermatology, etc.

Select the Best Telemedicine Platform for your Healthcare Business Practice

Before you are ready to add telemedicine to your healthcare, you need to be sure that this is going to improve your business. How?

Every healthcare provider has some specific set of requirements that may vary from others. But there also exist some common considerations that can help you choose the right healthcare practice telemedicine platform.

These common considerations are mentioned below:

1. ROI on Telemedicine

This can normally be a multi-faceted consideration. You firstly need to comprehend the total calculated value of any software/hardware and the cost of licensing.

The majority of healthcare providers generally focus on the fees they would be charging per visit of the patients.

While it is important to know the number of visits you will be needing monthly or annually to break even, you should also be prepared with operational planning.

2. Duration of Implementation

Telemedicine implementation with other advanced technologies, such as telemedicine apps, electronic medical software systems, etc. can help you get efficiency within a certain time and help you understand the data better. But the fact is that the integration of any kind of telemedicine platform into the EMR system is surely going to take some course of time.  

Some vendors of telemedicine may also take more than a few weeks or even a couple of months for a stable implementation. If in case you have multiple ERM systems, then this implementation timeline might be even longer than expected for completion.

So, to avoid this time-consuming process of integration, most healthcare providers opt for those telemedicine vendors who do not prefer any electronic medical software integration.

Consagous Technologies, a telemedicine app development company, will help you build your telemedicine platform fulfilling all your requirements, as it has been doing for other healthcare providers. Connect today, to get yourself a free quote.
 
3. Telemedicine Reporting

You will need a telemedicine platform that is capable of measuring data analytics and the productivity rate of your telemedicine video calls. But importantly, you need to compute feedbacks from the patient’s end.

Being a healthcare provider, one needs to make sure that the platform is fixing up your time as determined.

4. Technology Requirements

Not all telemedicine apps or platforms are developed alike. Therefore it is pre-assumed that the implementation time would have a large difference. For instance, some platforms might require installing of ay specific software/hardware, while the others may not need any such complex integration to be done.

Getting yourself customized telemedicine app development solutions through Consagous can seamlessly merge with your current workflows, and this will grow your overall telemedicine ROI.  

Summing Up

Everything explained you need a telemedicine app cum platform development solution that is convenient as per your requirements, user-friendly for your patients, and also enables them to provide feedback after the completion of their treatment.

Connect today with Consagous Technologies and get yourself the absolute best-customized telemedicine app built for your practice.

Salesforce Platform: A Simple Automation Solution for Complex Businesses!

Salesforce is the world’s No.1 CRM platform with a wide range of products that help businesses to put thoughts into action. In this blog, we’ll tell you about the Salesforce Platform and Salesforce mobile app builder that helps you to customize and automate your business processes, their advantages, and much more.

Undoubtedly, modern businesses are extremely complex entities. Businesses have somewhere to be able to manage the data related to hundreds of thousands of clients, in addition to data related to their business systems, to understand the client bases and market.

 



To access the power hidden within the intricate information and other systems, successful businesses have started to be dependent on advanced Business Process Automation.

Business Process Automation

Business process automation is all about the use of technology to execute the regularly occurring processes or tasks in a business, replacing manual efforts. This is generally done to increase efficiency, boost productivity, streamline processes, and minimize costs.

Before computing became an integral part of business, and the business systems and processes were managed by employees and the administration manually. For every process, there used to be at least one employee, or sometimes a team, investing their time and energy.

However, the approach and generation of technologies changed the overall system’s operations. Files are now stored, copied, and transferred digitally; reports are compiled from the digital data and prepared in minutes, and many other manual workflows got automated. Starting from these minute advancements, business process automation turned into reality.

As computers and other similar technologies became capable of handling huge amounts of data and performing intricate tasks, computer scientists began exploring the possibilities of automation.

Business process automation should not be confused with business processes management, which is a larger discipline involving the management of complicated processes using different methodologies.

 

Advantages of Business Process Automation

The main purpose of BPA is to free employees from such time-consuming tasks that can be done by machines in a comparatively short period.

Still, there are other benefits of BPA to be considered.

By cutting down on the manual processes, businesses also reduce the process turnaround time. With business process automation, companies can more quickly review the processing progress, locating, and eliminating potential bottlenecks (if any). Employees can enjoy timely payments of salaries and faster reimbursement on business expenses. The complicated processes of various departments can easily be automated, simplified, and streamlined with apps developed by Salesforce app development services, for any role, team, or any size of business.

Secondly, the cost advantage of business process automation is a very remarkable benefit. Between improving productivity and lessening the processing turnaround time, business process automation has the potential to save a large amount of money. And while there exists an initial investment required for the implementation of BPA, it tends to pay for its costs through increased efficiency of work. A BPA would generate a substantial amount of ROI, as the businesses will get a lot more out of available resources and time.

Also, business process automation developed on a reliable platform can avoid expensive mistakes. It was estimated by Harvard Business Review that data errors and irrelevant information cost U.S. companies $3 trillion annually.

With effective business automation, processed data is transferred directly between applications, and this eliminates the risks of human error with the valuable information retaining its relevancy and accuracy.

Considering the above-mentioned advantages, many companies are out in the market, searching for reliable business process automation software.

For such businesses who are willing to get the most out of BPA software, a solution built on the most trusted and highly customizable data management platform is worth consideration.

 

Salesforce Platform- The Absolute Best Answer

Salesforce is termed as the most reliable, #1 CRM and data software solution in the market, and one of the things that kept them out-of-the-box is their focus on business automation. Now, using the Salesforce platform, companies can enjoy the benefits of business process automation, designed and customized to fit their complex business needs.

The Salesforce Platform provides the business with broad access to a wide range of selection of easy-to-use process automation tools which can be implemented through integration with a company’s pre-existing system and CRM, and as Salesforce doesn’t expect each user to be an expert, they try to help the users finding the correct tools. Salesforce experts are available to guide these users through available tools and features, helping them to look out for a powerful solution to their automation needs.     

Additionally, for the cases where a tool is not that sufficient, the Salesforce Platform gives organizations the power to instantly conceptualize, build, and employ custom automation applications using Salesforce mobile app builder and also using Salesforce app development services.  

Drag-and-drop app design tools are available and easy to use and don’t require any past experiences related to computer sciences or coding.

Linked with the friendly UI, productivity tools, real-time processing, and the already existing Salesforce’s cloud-based structure, the Salesforce Platform is a business process automation solution that brings the dream of reliable automation to reality.

 

Optimizing the Processes that build Success

Today, companies have far-reaching and astoundingly complex businesses, but that doesn’t justify that their processing needs to be mysterious. From the single-manpower startups to the Fortune-500 companies, the right business process automation software can make sure that every process is on track and operation is going smoothly.

If you are looking for a perfectly experienced team of professionals, for getting the best Salesforce Platform solutions, you are at the right place. Consagous Technologies is one of the best providers of Salesforce Platform and Salesforce app development services in USA. The team is readily available to fulfill all your automation-related needs.

 

Original Source:

 

https://www.consagous.co/blog/salesforce-platform-a-simple-automation-solution-for-complex-businesses

Best Uses of AI to Improve your Customer Service Experience

Moving towards the digital world, the relationship between customers and businesses has been transforming over the past decade. Customers these days have higher expectations, therefore companies are busy finding ways of interacting and improving the efficiency and quality of products, services, and processes. Several companies have already started to switch on to AI application development services for enhanced customer experience with automated processes.

In this blog, we’ll be discussing the uses of artificial intelligence that helps with improved customer service experiences.

 



Benefits or Opportunities associated with investing in AI application development services are:

* Acquisition of Customers- Companies with investments made in AI and Machine Learning development services are three times more likely to acquire new customers.

* Customer Retention- Companies with AI applications are likely to have more and improved customer retention rates.

* User Satisfaction- Due to automated processes and personalized experiences offered by AI, companies can offer an increased level of satisfaction to their customers inclusive of the first two points.

In short, investing in AI can help companies to increase their sales and revenue, with increased customer satisfaction.

Using AI tools to Improve Customer Service

Here we bring you the most common use cases of AI application development through which organizations can improve their customer experience and services.

1. Object Detection

These solutions allow you to automate tasks related to image recognition.

For instance, think about a financial institution wanting to accelerate new customers’ onboarding. Using object detection would be of great help. Your customers can just simply upload a photo of their ID proof and a live selfie. Object detection can match the faces of ID proof and selfie, if matched the customer’s identification is done, replacing the whole lengthy process.

2. Language Analyzing

A great asset to improve your on-call experience with customers. Using Language analysis, a calling agent can detect the mood of the customer on-call and can adjust their tone and words accordingly. This tool enables the collaborators to extract the fundamental information from customer feedback and adapt their communication, based on the same.
 
BEAT is an AI-based application developed by Deloitte, stands for Behavioral and Emotional Analytics Tool. The application listens to the phone call conversations between the calling agent and the customers and then, transcribes the wordings and the sentiments.  

3. Optical Character Recognition- OCR

OCR is generally used in document processing automation. With OCR, you can train your systems to read a document and extract the relevant and necessary information from any given document.

Using OCR, you can process your documents digitally, supporting quick and more accurate retrieval of information from the document.

4. Machine Learning Models

You can train the machine learning models and integrate them into your applications to evolve predictive analytics that helps you make more informed and improved business decisions. There are various uses of AI and machine learning model development services as:

Classifying tickets for triaging support, assigning to the right team, and solution recommendations.

Predicting sales discounts, customer support demands, product demands, and available inventory stock.

Automation of risk analysis, approval decisions, business outcomes, etc.

5. Chatbots

A great way to provide a carefree engagement fitting in your customer’s super busy routine life. And one of the most common use cases of AI application development services in customer service is chatbots.

Using chatbots, you can:

Engage more with your customers- customers don’t like filling forms or waiting for getting any query solved. They want immediate experiences. With chatbots, you can have your customers’ feedback in a very conversational style.

Support employees- you can store a lot of information that your employees need to know in QnA format. Chatbots can help you deliver this information to the employees much more quickly and efficiently by just answering their queries.

Scaling the first-line support- rather than having individuals respond to very specific requirements, companies use chatbots to answer the FAQs of their customers. It also helps in decreasing traffic to other channels.

Popular chatbots include software like Intercom and Drift. Nowadays, modern AI application development services also help you with tools to build your chatbots, customized as per your needs.

A Next Level Customer Experience

Customers today have expectations higher than ever before. They believe that you have got exactly what they want. They expect you to provide them with a smooth and effortless experience. And for this AI application development services can play an important role by improving the efficiency in the outcome. In other words, AI application development will help in improving the coolness of your services and procedures.

If you are looking forward to using these above-mentioned cases in your business application and get the best returns on your investment, get in touch with Consagous Technologies, the best AI application development company in USA. We are one of the best AI & machine learning solution providers for more than a decade.

Impact of Augmented Reality in Education!

As we know, in the post-pandemic scenario, traditional education methods are becoming a thing of the past. Teaching is getting more digitized and education mobile app development is being driven by new technology innovation. Among the freshest trends in education mobile app development technology, Augmented Reality is on the top.

Through this blog, we’ll tell you more about this EdTech trend and also give some fresh ideas about how to use the development of AR in education!

AR in Education & Training: Benefits and Challenges

Augmented Reality when integrated with education mobile app design, can serve several purposes. This will also help the students procure, analyze, and memorize information. Moreover, AR makes the e-learning experience through mobile app development more engaging and fun.
The best thing about AR is that it can be used by all age groups of students.

Benefits of AR in Education

* High User Engagement with increased interest.

Gamified and interactive AR learning can have a notable impact on the students and this keeps them engaged throughout the sessions.

* Practical learning.


Apart from regular classroom teachings, practical learning can also be a great benefit using AR. AR can help you demonstrate and teach the practical skills required to perform any job.

* No special equipment is required.

Unlike Virtual Reality, AR does not require any such expensive gadgets or equipment. Augmented Reality is immediately available for use for the majority of students on their smartphones.

* More effective and faster learning process.  

AR helps students to achieve better results through full matter and visualization in the subject matter. Instead of reading theories, students can directly visualize the concept.

* Access to learning materials.

AR is capable to replace physical textbooks, models, posters, etc., and offers compact and less expensive study materials anytime, anywhere.

* Improved collaborations.

AR applications offer large opportunities to broaden boring teaching sessions. Interactive lessons will help all the students to involve themselves in the learning processes together and will also help in improving teamwork.

* Applicable to any level of education, universally.

AR-based education is no more limited to any specific use or field of application. Whether it is teaching at kindergarten or on-the-job training, AR can be used at all levels.

Challenges of AR in EdTech

Despite the above-listed benefits, certain limitations need to be addressed when building educational app solutions with Augmented Reality:

* Dependency on Hardware.

Using AR in the classroom would require a specific resource base because not all the students might have a smartphone that supports AR applications.

* Content issues.

The AR applications that you build with e-learning mobile app development, need to work similarly on each platform. And it is practically unattainable to provide the same quality AR content on every device.

* Lack of instructor’s training.

Teachers or trainers might struggle to bring such new technologies into practice, as their training doesn’t provide them with all the necessary and required links. Only the highly qualified instructors and institutions are ready to bring AR into the classroom.

* Using AR in EdTech

Dedicated developer tools like ARKit and ARCore, paired with powerful hardware, make it possible for educational app developers to build successful AR-based EdTech solutions. With the giants like Google and Apple pushing AR technologies forward, now is the best time to get into the trend.

We would like to help you with a fundamental roadmap for AR-based educational app development:

Step 1- Defining your goal and target audience.

You need to define the age range of your target audience and the general purpose of the app.

Step 2- Polishing the idea.

Secondly, you need to polish your idea through performing market research and viability testings to understand the actual needs and potential.

Step 3- Building a POC.

To test out the capabilities of the chosen tech stack, building a Proof of Concept is necessary.

Step 4- Creating an MVP.

Create a minimum viable product, a base version of your application, just to operate and test the core functionality.

Step 5- Testing the product.

Regular updates of the application with the new AR contents should be taken into account.

Looking for AR-based educational app development solutions? Consagous Technologies is the best option for you. With the team of the best educational app developers, it gives you top-level educational app development services. You can get yourself the cutting-edge education mobile app design inbuilt with AR features.

How AI & ML are Transforming Social Media?

With the advancement in technology and artificial intelligence, various AI-based application platforms have been gaining popularity for a long time. AI has turned out to be a boom for popular Social Media platforms like Facebook and Instagram. To know more about AI and Machine Learning development services in Social Media, continue reading this article!

 

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.
 
2. 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.
 
3. 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.
 
4. 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:
 

Medical Chatbots: A Boon for Healthcare Industry!

No doubt Artificial Intelligence is impacting medical and healthcare as the use of chatbots in this industry has recently become popular. What are these chatbots and why are they gaining more and more popularity? And why are chatbots being adopted by the healthcare industry as telehealth software solutions?

 

Through this blog, we’ll give you a closer look at what these chatbots are and their benefits in the healthcare industry.

 

Chatbots are interactive software designed to imitate human-like chats in real-time. These are developed using Machine Learning algorithms, including natural language processing. A chatbot assists the user via text messages within applications or websites.

 

 

Chatbots have already been applied in retail, social media, customer service, and banking. Several users engage and interact with chatbots daily on their smartphones without even knowing.

 

Healthcare organizations are reaping the benefits of these AI-enabled virtual assistants for automating their routine processes and provide the users/patients with 24/7 assistance. Telemedicine app developers are also working over the chatbots to be more effective and successful in the field of medication.

 

As per a report prepared by Accenture, the health industry is all set to register a compound annual growth rate of 40% by the end of this year. Currently, chatbots are ready to make a mark in the healthcare industry.

 

Application of Chatbots in Healthcare

 

Here we discuss the possible advantages that these chatbots promise to medical service providers, doctors, and patients:

 

  • Health Tracking

 

Doctors are always willing to help their patients and they understand that how important it is to be available if the patient is in urgent need of medical attention. Patients who require healthcare regularly can get benefits from such chatbots.

 

These bots can send a detailed health report and the medicinal dosage to the doctor. In case the doctor is not available, the bot can send a message on the doctor’s phone asking for his availability.

 

  • Training and Employing

Big healthcare agencies are continuously hiring new employees. For the processing of these applications, the HR department ends up with a lot of paperwork to be filled out and cross-checked. This task can be made easier by assigning chatbots.

 

For example, new hirings could subscribe and access talking to these chatbots, become integrated into the onboarding process as a new employee, and receive data regarding the organization and its working. These chatbots can also send required information and files to these employees.

 

  • Scheduling Appointments

Chatbots can also be used by doctors for scheduling fresh appointments and keeping track of old visitors and follow-up appointments. The patient can just get in touch with the chatbot and get available dates of appointment. And a day prior, a message or notification would be sent to both the patient and doctor regarding the next day’s appointment.

 

Patients can get these scheduling bots from a website or can access them through any mobile device as Telemedicine app development solutions have made medication over the phone easy and convenient.

 

  • Patient Feedback

The main aim of any healthcare provider is to provide the best services to their patients. Chatbots can be a great way for collecting feedback from patients. This feedback can then be used by the healthcare providers to make their practice and services better.

 

Collecting feedback through chatbots would help patients to give honest feedback. Moreover, it shows that you value their feedback and opinions.

 

  • Reduced Waiting Time

 

Chatbots enable the users/patients to get an immediate response and solution rather than waiting on a phone call, sending an email, or even waiting in a line. In many medical situations, time is essential as the patients don’t have the time to wait over a phone call to be answered.

Chatbots can be used to get an instant response and in case of an emergency, immediate medical rescues can be made. The user can simply ask a question and the bot would respond with an appropriate answer in few seconds. An emergency button would directly connect to the doctor and the user can ask for further help.

 

  • Daily Medication and Check-up Reminders

Doctors prescribe medications for dealing with various health conditions. But the biggest challenge here is that the patient is regularly taking that medication on-time or not? A study said that almost 50% of patients are irregular with their medication routine.

Chatbots can be used not only to dispense medication advice but also to send reminder messages to the patient for taking the specific medicine on time. The patient just needs to simply enter the medicine’s name they need to take, how many times a day they need it, and the time.

 

Chatbots are undoubtedly a beneficial and powerful tool. The healthcare industry players can implement these on their websites or apps, helping the patients to get regular and timely medical advice, scheduling appointments, sending medication invoices, next appointment reminders, etc.

 

Talking about Telemedicine app development company, Consagous Technologies is a good option one can look out for. It has got absolute best telehealth software solutions for your problems related to telemedicine app development.

Manual vs. Automated vs. Integrated- What's Best for Modern App Testing?

Software testing and quality assurance is a wide landscape that consists of various categories like regression testing, black-box testing, functional testing, etc. Out of the different types of testing, some of these categories work better with automated testing, while others perform desirably with manual testing and integrated testing.
 
 

Software testing and quality assurance services have seen an increase in the last few years. Software testing and quality assurance are performed to check whether the created software fulfills the expected requirements and is free from bugs. This involves the execution of software with the help of an automated or manual or integrated testing approach to check for the points of interest.

 

This well-organized guide will tell you about each of these testing approaches and help you make the right choice.
 

Manual Testing

Manual testing is a process where the tester or the testing engineer executes the app manually without using any automated tool. Manual testing stimulates the working of the app according to the end-user perspective and checks if the app is working properly.

The main purpose of this approach is to find and resolve the faults, defects, and other issues occurring in the software.
 

Benefits of Manual Testing: 

  •     Real-time testing- Minor changes are to be investigated on a priority basis.
  •     Quick- Relatively quick to launch.
  •     Flexibility- The testers using this approach have the freedom to question things and also employ creative suggestions.
  •     Low on cost- Manual testing is a fundamental approach and is cheap as compared to automated testing.
  •     Adaptability- The testing engineers can use and verify the new features or any changes in design at any point in time, without any scripts or prior preparation.
  •     Custom Feedback- The manual tester’s report can be used as a potential user’s feedback.
  •     User-Interface Feedback- UI is an important part of the software and plays an essential role, therefore manual testing is necessary.

Limitations of Manual Testing:

  •     Not all types of testing can be processed manually.
  •     Regression testing has repeated tasks to be done and that can be boring for testers.
  •     Such testing has possibilities of inconsistency and human error.
  •     Compared to automated testing, manual testing takes more time and is less efficient.
  •     Manual testing sometimes gets to be very expensive for large projects.

The common use of Manual testing:

Manual testing is frequently used with those testing categories which involve various functionalities and business utilities like:

  •     Functional testing
  •     Usability testing
  •     Low-volume regressions
  •     Hotfix testing
  •     Exploratory testing, etc.
Manual testing is suited for small-size projects that require few tests or have complicated user situations.
 

Automated Testing

Automated testing is the process where the tester performs automated testing efforts using scripts and various other automated tools.

*(Test Scripts are a set of limited instructions that are to be performed while performing automated testing over certain targeted platforms to validate an expected outcome or a feature.)

Automated testing requires frameworks to perform tests. Each of these frameworks is scripted with the set of rules of automation specified for the software that is to be tested.

The framework is integrated with different modules like function libraries, object details, test data sources, and other reusable components.
 

Benefits of Automated Testing

  •     Re-usability: After creation, the test codes can be used multiple times as per the requirements.
  •     Cost Optimization: choosing the right automation framework could optimize the testing process by providing high performance at low maintenance costs.
  •     Efficiency: Automated testing is proven to be more efficient.
  •     Quick-functioning: Compared to Manual testing, this test is faster in terms of functioning.
  •     Instant Results: Test results become available automatically and that too in real-time.
  •     Automated Tests are free from human errors.
  •     Reduced Cost: When used in the long run, automated testing offers low cost.


Limitations of Automated Testing

  •     Complicated: some of the automated tests are too complicated to perform.
  •     Time-consuming: these tests take time to develop and launch.
  •     Additional costs: Test code verification, maintenance, and testing tools increase the cost.
  •     Professional Skills: These tests require domain knowledge and professional programming skills for operation.
  •     UX testing is not possible with automated testing.
  •     Automated testing tools can be having their bugs.
  •     Automated tests investigate only the pre-defined problems.

The Common uses of Automated Testing

Automated testing is generally used with various types of testing mentioned below:

  •     Performance testing
  •     Data-Driven testing
  •     Unit testing
  •     Functional testing (repeatable)
  •     Warehouse testing
  •     Regression testing (high-volume), etc.
Automated testing is better suited with long-lasting and large enterprises and also with relatively stable projects.
 

Integrated Testing

Integrated testing is a type of testing where software modules are integrated and tested as a group logically. A typical software consists of multiple modules, coded differently. The purpose of this testing is to find out defects between these modules while they are being integrated. There exist varieties of strategies for the execution of Integrated testing.

The main focus of this approach is to check data communication between these modules.
 

Benefits of Integrated Testing

  •     Appropriateness: Integration testing ensures the appropriateness of the modules and results.
  •     Stimulation: This testing stimulates the interaction between different modules.
  •     Broader test coverage: Integration testing provides broader test coverage covering multiple modules.
  •     Smoothening: This testing helps to smoothen the transitions among interfaces.
  •     Efficiency: Integrated approach impacts the overall testing efficiency of the software.

Limitations of Integration testing

  •     Time Taking: The modules take time to integrate and cause a delay in operation.
  •     Inadequate testing: lower-level modules are tested inadequately.
  •     Early prototypes in Integration testing are not possible.
  •     Null pointer exception occurs while performing this test.

Manual Testing Vs. Automated Testing Vs. Integrated Testing

Basic Definition

  •     Manual testing is a type of software testing where a functionality test of the software is performed manually by a testing engineer.
  •     Automated testing is a type of software testing where functionality tests are done using automated tools and scripts.
  •     Integrated testing is a type of testing where software modules are integrated and tested as a group logically.

Reliability

  •     Manual testing is not reliable as there exists a possibility of human error.
  •     Automated testing is more reliable because testing is done using tools and scripts.
  •     Integrated testing reliability depends on the approach used for testing because it can be performed using different approaches and each approach has its disadvantages.

Investment

  •     In manual testing, investment is required in human resources.
  •     In automated testing, investments are to be done in automated tools.
  •     While opting for mixed-integration testing, separate investments need to be made for top-level and lower-level modules.

Framework

  •     In manual testing, frameworks are not used.
  •     In automated testing, different frameworks like Hybrid, data-driven, keywords-driven, etc. are required for faster automation.
  •     In integrated testing, modules are used instead of frameworks.

Knowledge and skills

  •     In manual testing, product knowledge is considered to be more important than programming knowledge.
  •     In automated testing, one can’t prepare scripts without having programming knowledge and skills.
  •     In integration testing, different knowledge and skills are required depending on the approach of integration.

Time-saving

  •     Manual testing is more time-consuming due to human resources usage.
  •     Automated testing is faster than manual testing and saves more time.
  •     Integrated testing takes more time because it consumes a lot of time for the modules to integrate.

Batch Execution

  •     In manual testing, batch execution is not possible.
  •     In automated testing, this is possible because all the written scripts can be executed simultaneously.
  •     In integrated testing, batch execution is possible to a degree as it includes both manual and automated approaches.

Performance Testing

  •     In manual testing, performance testing is not possible.
  •     In automated testing, performance testing is done to check the performance of the application, using load and stress testing.
  •     In integrated testing, performance testing is possible only for an automated approach.

Since each testing approach has its specific pros and cons, so choosing one as the better option would be immense. While automated testing can handle complex tasks, manual testing is believed to have a lower risk for false negatives.

To deliver successful software, you need to have a manual and automated testing approach. Adding automation makes your manual approach more efficient and reliable.

Consagous Technologies is one of the best software quality assurance service providers that you will come across for your needs.
 
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E-Learning Trends and Predictions to Watch Out for 2021!

Talking about Education mobile app development and eLearning trends, the year 2021 puts a question mark over traditional learning systems. The whole world is adapting itself to this trend of eLearning. Here are some predictions that you need to watch out for in 2021!

The year 2020 was like no other year before, but for those involved with Learning & Development in the eLearning industry, the year has provided some major and rapid growth.

With rising work-from-home trends and all educational institutions operating remotely, many eLearning and education technology opportunities presented themselves to be quite useful.

 



With e-Learning mobile app development, online learning has entered a new level and has made learning possible even during a global pandemic.

Mobile Learning replacing Mobile Readiness

No doubt, mobility has turned to be a very crucial part of day-to-day lives for billions of people. Previously, training contents were built with the desktop users in mind, and then it was modified as per the need for mobile users.

As the number of mobile users continues to increase and more users are developing a strong attachment to mobile learning, the traditional processes will be reversed.

Mobile learning is reaching maturity as in 2019, there was a rapid increase in Educational app development solutions, but these solutions turned out to be more of desktop versions. The best solution to mobile learning is not out yet but we are already fascinated by the transformative potential of mobile technology.

Inevitable Advancement of Immersive Technologies

Immersive technologies create a unique and different experience by merging the physical world with digital reality. Such technologies include Virtual Reality (VR) and Augmented Reality (AR).

Similar to Artificial Intelligence(AI), immersive technologies have the potential to change the features of eLearning.

VR includes the use of interesting elements like real interaction, 360-degree photography, etc. in the training material, and together, these features integrate to bridge the gap between real application and bookish theory. Its concept of distance learning has been of great help in corporate training where working-from-home is the new norm.

In eLearning, AR is considered the most convenient technology in eLearning. As the name suggests, this technology augments and also facilitates the use of graphics and images in the pre-existing training material.

Being in a very initial stage, these technologies have been delivering very promising results.
 

Microlearning

For nearly half a decade, this has been a buzzword in the concept of eLearning and is going to continue for 2021 as well. It is a method of quick knowledge consumption, based on skill learning. This is done by breaking the concept into micro-units and allowing the learner to understand the concept with minimum effort.

This concept is a strong option for corporate training as it can be done on any available device, including desktops and mobiles. And secondly, it allows the organization to provide purposeful and unbiased knowledge tailored to the wants and needs of each learner.

With decreasing attention scale, more and more organizations will adopt the concept of microlearning.

Video-based Learning

There’s nothing new in this concept but for eLearning, video-content has been an important part.

Over the last few years, video content has exploded, pushed by the rapid growth of video-content sharing platforms. Thinking of the year 2020, you can’t think of anything that has been in-use more than videos.

Video content has made quick learning easier and has also increased retention rates as the animations being used in videos are making content more comprehensible.

Today, learners prefer to have video content for demos, tutorials, conceptual learning, etc. rather than having all of these in textual format.

Since the pandemic occurred, most of the teaching all over the world is now being delivered either over virtual classrooms or through videos, and preferably this will be continued for upcoming years.

Artificial Intelligence

Say it for higher education, as well as the business or corporate world, Artificial Intelligence(AI) has been one of the most boiling eLearning trends. This emerging technology has its disruptive power set free on today’s learning and development. Without the need for manual intervention, AI has been opening up immense potential for customization in the field of eLearning. The AI-powered chatbots are finding a rise in their use in eLearning platforms.

AI would continue to grow and will be the top-rank trend in technology and eLearning for upcoming years. It will help one in interpreting the data or reports of the learner’s performance, or in personalizing the learning experience.

In 2021, it is expected that there will be an increase in the number of AI tutors and the platforms using machine learning algorithms.

Game-Based Learning and Gamification

Gamification is a set of activities and processes to solve problems and make decisions using game elements.

In eLearning, gamification is done through implementing game design elements that try to get user attention and increase satisfaction with the learning process.

For educational institutions and companies, gamification helps to contribute to a higher level of learner satisfaction, reducing dropouts and increasing productivity by providing entertaining elements.

Using gamification and game-based learning allows learning institutions and enterprises to create abstract incentives that drive successful training results.

 
Content Curation and Creation tools


The speed of change across 2020 was very quick with so many modifications in safety-related protocols, compliance training, work processes, and policies. The Internet has been a knowledge base with plenty of information about any topic or subject you wish to learn.

The excess of information makes it challenging to recognize the appropriate pieces of content. Now, at this point, content curation is injected. Curation helps you overcome this confusion of getting appropriate information and presents you with the most relevant resources for appropriate learning.

These trends are here to stay for 2021 and ahead. E-learning has made both conceptual and practical learning easier. Even though the trends in eLearning would come and go, the above-discussed trends will not become irrelevant in the coming years.

Consagous Technologies is one of the leading companies in providing Educational app development services. With highly skilled professionals in the team, you can be assured of the best learning solutions to your requirements.
 
Original Source:
 

Types of AI & Their Features

Artificial Intelligence today, is probably the most amazing and detailed creations of humanity to date, disregarding the fact that the area is still largely unexplored. The astounding AI creations that we get to see today are merely a small part of AI.

AI’s powerful capabilities and fast growth have made humans paranoid regarding the proximity and certainty of an AI’s acceptance. The changeover brought by AI in various industries has turned business people and the normal public to think that we humans are very close to achieving the pinnacle of AI. There are several AI Application Development Services that are focusing on and will make these transformations possible gradually.

 



However, getting to know the types of AI that already exist and are possible to exist will create a clearer picture of AI potentials.

Since AI research aims in making machines imitating human-like respondings, the extent to which an AI system can clone human capabilities is used as a standard for determining the various types of AI.


Types of AI can be labeled under one, among the multiple types of AI, depending on how a machine compares to humans in terms of flexibility and execution.

1. Reactive Machines

These are the oldest forms of Artificial Intelligence systems that have very limited capability. Reactive machines do not have any memory-based functionality.

Features of Reactive Machines :
  • They correspond to the human mind’s capacity to react to various kinds of stimuli.
  • Such machines are incapable of “learning” as they cannot use previously acquired experiences to guide the present actions.
  • These machines can be only used to react to situations that exist presently and that too for a limited set of inputs.

An example of such machines would be IBM’ Deep Blue, i.e. a machine designed to play chess against humans, that beat Garry Kasparov(Grandmaster) in 1997.

2. Limited Memory

Limited Memory machines are those machines that have some additional capabilities than Reactive Machines.

Features of Limited Memory Machines :
  • As the name suggests, limited memory machines can store some information learned from observing past experiences and data
  • All AI machines using deep learning are trained using a sizable proportion of training data that are stored in the memory as pre-programmed data to form a reference model for handling future situations.
  • Almost all the existing and known AI and Machine Learning Development services and applications fall under this category of Artificial Intelligence.
Self-driving cars by Tesla, for example, store pre-programmed data.
 
These vehicles can judge the environment around them and they adjust the driving as and when required.

3. Theory of Mind

The previously discussed types of AI are found in exuberance, but the next two exist, either in conceptual form or in the form of work-in-progress.
Theory of Mind is the type of next-level AI system that researchers are still engaged in innovating.

Features of Theory of Mind AI :
  • A theory of mind AI will be capable of better understanding the entities it has been interacting with.
  • This level of AI is based on the psychology that these machines will be capable of understanding that living beings like humans and animals have feelings and thoughts that can affect their behavior.
  • The theory of Mind level of AI machines would be required to use the pieces of information gathered from humans and learned from it, which would then be used to inform how such AI machines react or communicate to various situations.

A very primitive example of the theory of mind technology would be Sophia, the world-famous humanoid by Hanson Robotics. Whilst Sophia is unable to go through human emotions, she is capable of holding a basic conversation, recognizing images, and also can respond with appropriate facial expressions while having interactions with humans.

4. Self Awareness

These are the most complex AI machines that humans might be able to imagine or visualize ever. This is the final level of AI development and currently exists hypothetically.

Features of Self-Awareness AI :
  • Self-awareness AI is self-explanatory and has advanced to be so close to the normal human brain that it has a gradually developed self-awareness quality.
  • Constructing this type of AI is termed to be the ultimate goal of AI research and is centuries away from coming into existence, materialistically.
  • Such AI machines are believed to have emotions, beliefs, potential desires, and specific needs of their own.
Developing such AI can boost up our civilization potentially by advancements but, can also be disastrous because Self-aware AI machines having the idea of self-preservation may directly or indirectly bewitch the end of humanity.
 
At this point, it is difficult to visualize the state of this world when more advanced types of AI come into existence. However, this is quite clear that there is a long journey ahead to get there as the present condition of AI compared to where it is planned to reach is still in its fundamental stage.

If you wish to utilize the power of AI tools, get connected to Consagous Technologies Pvt. Ltd. now. It is a major AI Development Company in USA, with a dedicated team with years of experience.