How Artificial Intelligence (AI) Help In The Healthcare Industry?

Artificial Intelligence performs all the tasks quickly and rapidly that humans take time to perform. In today’s era, this is being used in every domain. Computers can also achieve human-like competence in image recognizing and also enabled success in speech recognition and natural language processing.

 

The Healthcare industry is an abundance of data. The quality of, accessibility of these resources is a challenge. Health data have privacy issues associated with it. Lack of interoperability of electronic health record systems and the inability to collect the relevant social & environmental information. These are some issues faced by the healthcare industry.

 

Artificial Intelligence is swiftly entering the healthcare industry and performs major tasks from automating drudgery and daily tasks in medical practice to managing patients and resources. AI in the healthcare industry mainly refers to doctors and hospitals accessing large data sets information. This includes treatment methods, their results, survival rates, and speed of care, and geographical location. This new computing power can detect and analyze the trends from the data and even make predictions through machine learning that’s designed to identify potential health outcomes.

 

Benefits of Artificial Intelligence in the Healthcare Industry

Human Performance Boundaries are Pushed

The visual impressive use of medical AI is to do the things that humans cannot do. An artificial intelligence algorithm can improve the care of the patients beyond the current situation of medical performance.    

Normalize Medical Knowledge

AI can help to share the knowledge and performance of experts to the providers who lack that expertise. This type of normalization is important because highly skilled experts are rare compared to the need in many areas. 

Medical Practice Drudgery Automation

AI has automated many of the tasks on which providers spend a large amount of time dealing with electronic medical records, reading screens, and typing on a keyboard. When the AI system queues up the information in the patient’s record including this will increase the facetime between doctor and patient. 

Resource Management

AI can help to allocate resources and shape the industry. This AI system even helps to identify which department needs more staffing, and the most controversial topic of revenue-maximizing practice.  

 

Some tech innovation in the healthcare industry using AI 

Robotic Reflection

In 2017 University of Bristol study found that children suffering from Autism have an issue in distinguishing facial expression and in that year Dell technologies launched Milo, a 2-foot tall robot that helps children from ages 5 to 17 years to identify signs of emotion.

Connecting ALS Patients 

Eye-tracking glasses have developed to help people who lost the ability to speak. People can type with their eyes onto a monitor screen that will vocalize the patient’s thoughts through computerized decoding.

Detecting Afib

Atrial fibrillation can make heart attacks or strokes more likely and according to research from Stanford University shows that AI software can identify more accurately arrhythmias from an electrocardiogram (EKG) than a human expert. 

Artificial Intelligence services in California pass all the tests and even real-world tests that they could become significant partners for humans in shaping modern health care. There are many things humans and machines can together do and this is a powerful package.

How On-Demand Service Apps Drive The Economy In 2021?

In this contemporary world, technology is changing very speedily. It’s like a dream that becomes true that today’s everything is just a click away. All businesses have acquired the importance of mobile apps. Many business owners have designed and launched their business ideas through android and iOS app development. Business owners have learned the requirements of users and have provided the best solutions to users. These on-demand changes have given origin to the on-demand economy.        

This On-Demand modification has reshaped the life of people around the globe whatever the field is like healthcare, supply chain, manufacturing. This all is making a massive difference in everyone’s life with satisfactory benefits such as expandability, satisfaction, and profitability.

Have a glance at some of the statistics

• The on-demand economy is predicted to expand from $213 billion to $435 billion between the year 2017 to 2021 with an annual growth rate of 49%. 
• There are around 22.4 million people who spend around $57 billion in on-demand service apps.

We have mentioned some of the business vertices responsible for increasing demand

Entertainment

There are numerous video on and music streaming applications that help the user search a variety of series, soundtracks around the world. Users can get instant real-time access.       

Real Estate

In the growing economy real estate also contributes. Real estate agents and business owners are growing towards the on-demand service apps to find the answers to problems such as no need for brokers, lower cost, time efficiency, decreasing the need for on-site agents, and ease of selling or buying the property. 

Tourism

Traveling and tourism are some of the industries that boost up the economy. Previously we have to wait for hours on the odd time, public holiday and have to face issues to travel to remote locations. But after the development of mobile apps like Ola, Uber, and other more applications. This made it easy for users to get a cab easily for traveling, escape from the refusal of taxi drivers, etc. 

Food Delivery

Definite working hours and waiting in a long queue in stores, restaurants, and other eateries outlets has resulted in the demand for online delivery services. This idea has helped the customers to taste the delicious food in no time and also given restaurant owners a high return on the investment options. 

Healthcare

Previously, patients had to stand in a queue for booking an appointment, hospital staff have to maintain the heap of data files, and reach the pharmacy for medicines within a specific time duration. This all is making healthcare facilities very difficult at the time of emergencies. But with the help of service apps, all things have changed dynamically. This has provided facilities such as medicine home delivery, online doctors appointment, instant data sharing, and many more. This all has lower down the cost, times, and errors. And helped reach the facility to a large number of people. 

Now you might have got the idea that on-demand service apps have covered the entire marketplace. You also got the idea to use these apps successfully and efficiently to enter the on-demand economy and earn higher profits. And if you need any kind of idea or need any further help you can contact us for Mobile App Development Services.   

How to Create Successful MVP

May 2, 2020

Do you have an idea for a product but not sure if you can successfully implement it or not? The majority of startups fail because the market doesn’t need them. Bringing a product to market is always a big risk. But to minimize the risk, you can first develop a minimum viable product (MVP).

To understand what customers need from your product, you should develop a minimum viable product. MVP allows you to study the situation on the market as well as its costs, also less than a full-fledged solution.

What is an MVP

MVP is a product with just enough features to satisfy early customers and getting feedback for future product development.

The Purpose of a Minimum Viable Product

A minimum viable product includes only essential features that will solve the customers’ problems. Everything else will be developed after reviewing the user feedback. Companies only develop MVP to verify the economic viability of the product.

MVP Goals

1. Testing a product viability at low costs.
2. Spending less money on product development.
3. Faster delivery of a product that solves at least one problem of a user.

Benefits of MVP

Faster Release and cutting the development costs

In MVP, you only spend time in building features that are absolutely needed which save from to invest in development cost as well as beneficial as quick delivery of the product

Room for evolution

An MVP benefits your business by providing an engine for growth. Because you can receive valuable feedback from early users and can use this feedback to update your product. 

Testing Business Concepts and market demand

The biggest benefit of developing an MVP is that it allows organizations to test their business concepts and ideas. MVP process to not only test the feasibility of their respective products but also to develop functionality over time based on user test data and feedback to gradually evolve towards the mature applications.

Get the funding from the investor

Receiving funding from the investor is to build confidence in the product and its ability to achieve the desired outcome. By representing your MVP you can easily impress the investors to invest in your product. 

How to build an MVP

• Figure out, What problem you are solving and for whom

The concept of developing an MVP is quite simple. Your goal in creating an MVP is to create the smallest, fastest, and most functional version of your idea, something that can be tested quickly and easily, over and over again, until it works. Before you initiate an idea and embark upon an MVP Development process, ensure that it fulfills the target users’ needs

• Define the user flow

To define the main flow of users, we must first define the stages of the process. You need to look at the app from the users’ perspective. This is actually quite easy because all you need to do is explain the steps necessary to achieve the main objective of your product. As soon as all these steps of the process are defined, we can define characteristics for each stage.

• List out the features

1. Ask yourself: What is the most important action I want my users to take? [Note: this will be its main feature]
2. Ask yourself: What other facilities do I have to provide? essential with [Explain why you need each of these essentials, then cross out the least important ones.]
3. Now all the features under the categories should be graded ‘must-have,’ ‘nice-to-have’, and ‘don’t care.’ can story making techniques make this process easier. You can build a matrix where you have a horizontal row that shows the main stages of the process (our user flow) and below each stage a series of features dedicated to this stage.
4. Once you have added all the steps and features for each step, you can draw a vertical down arrow that goes from “high priority” at the top of the column to “low priority” at the bottom. Now, you’re ready to start organizing features based on priority. Move stories that are crucial up the column and other stories down. Always pay attention to the whole process.
5. When you have prioritized all features, you can define your scope for the first version of the product as well as M.V.P can proceed to create, if you want to see how your future product will be, so you can create m.v.p prototype first.

• Build, test, and learn

When the first step of work is defined, so we move towards development, as soon as the development work is completed then we need to test it. The first testing phase is conducted by our Quality Assurance engineers. which is to enhance the quality of the product. They ensure that a product is prepared for alpha or beta testing. you can start improving your product again and then try, and learn, and build again, and try again, and learn again. 

• Analyze your competitors

It is clear to say that if there is already a similar product in the market, then you must also make a competitor analysis, keep in mind if you think so, that you have no competitors in the market, your belief in the uniqueness of your product is not a sufficient reason to bring your product to the market with confidence. Competitor analysis is important no matter what the situation. 

Aryavrat Infotech helps you to identify opportunities in the different marketplaces, raise your revenue, and help to build your business. we think it’s worth trying & for more info: sales@aryausa.com

Artificial Intelligence (AI) In Software Testing

Artificial intelligence is one of the most talkative things in the marketplace nowadays. It refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

Software testing is an important process that ensures customer satisfaction in the application. But what does it really mean? How does AI in software testing make a difference?

The use of AI in software testing is still in its initial stage, and the level of autonomy is much lower than seen in more evolved areas, although it is still driving forward in the direction of autonomous testing. The application of AI in software testing tools is focused on making software development lifecycle easier. AI can be used to help automate and reduce the number of  tedious tasks in development and testing

How AI is changing the way of Software Testing

Need for AI in Software Testing

Software testing is a procedure that constitutes a very fundamental aspect in the area of development. AI application in software testing focuses on facilitating the life cycle of software development. Since 60% of testing is only a repetition of the checks that the software already possesses, Artificial Intelligence will be helpful to automate the processes in an efficient way. Artificial Intelligence can be tremendously helpful in the testing industry in making more productive software for the end-user.  

AI Impact on Software Testing 

AI is a growing trend for the world, as you say that AI influences software testing and autonomic various business processes, AI proved itself by increasing the quality of software testing.  

Benefits of AI in Testing

1. Improved Accuracy:-  It is human nature to make a mistake, even the micro examiner makes a mistake, This is where automated testing helps by performing the same steps accurately. 
2. Automate the process:-  With automated testing, it may increase the scope of the test as well as improve the quality of the software. Automated software testing can look into memory and file contents, internal program states, and data tables so that it can be determined whether the software is working or not.
3. Saved time and money:- Source code is also modified each time with software testing, repeating these tests manually can be time-consuming and extremely costly. By using automation processes we can reduce the time spent in the testing which directly turns into cost savings.

Some AI-based testing tool

Test.ai:- Test.ai is mobile test automation Who uses AI in continuous testing, It is useful when it comes to getting your application performance metrics. It is more of a monitoring tool than a functional test tool.

Functionize:- Functionize uses machine learning for functional testing and is very similar to other tools in the market regarding its capabilities such as being able to create tests quickly (without scripts), execute multiple tests in minutes, and carry out in-depth analyzes.

Conclusion

Artificial Intelligence is a technology that will change the future, Artificial intelligence should never be considered a threat to software testing or for jobs because Artificial Intelligence acts as a to improve development works.

As more and more AI comes into our lives, the need for testing with Artificial intelligence is increasing. We have already started to use AI, but we need to continue the testing evolution to achieve efficiency. To know more about sales@aryausa.com

ReactJS, Angular And Vue: A Comparison

When it comes to building interactive web applications, ReactJS is a well-established framework and a popular choice among developers. But what about its competitors? The two main ones are Angular and Vue, both robust frameworks that come with their own strengths and weaknesses. Let’s look at how these other frameworks shape up next to ReactJS.

React is a JavaScript library for building user interfaces for web applications. Developed and maintained by Facebook, it is used by many well-known online businesses such as Netflix, Airbnb, Dropbox and Microsoft.

Angular is a cross-platform JavaScript MVVM (Model-View-ViewModel) framework for building interactive web applications. Developed and maintained by Google, it is also used by a variety of major online businesses such as Upwork, Paypal and Udemy.

Vue is a JavaScript framework that aims to be more approachable, versatile and performant than its competitors. A relatively new challenger, it is growing rapidly in popularity. It was created by Evan You, an ex-Google developer who worked on Angular wanting to create a better, more lightweight framework. It is used by Alibaba, Grammarly and Adobe, amongst others.

Development and Support
Because React is backed and used by Facebook, it is very well maintained with frequent updates, and being open-source, many programmers from all over the world contribute to the codebase. Because of its widespread popularity, there are a range of resources and learning materials through Q&A sites, blogs and guides, making it easier for new developers to get up to speed. Facebook is also developing the next generation of React called React Fiber, which will be 100% backward compatible.

Angular is backed and used by Google and comes with comprehensive documentation as well as a variety of learning materials and tutorials. Angular is a recent evolution of AngularJS, the framework originally released in 2010. This means that Google is hard at work improving Angular and making it a better choice for developers.

The development and maintenance of Vue is led by Evan You, who has a small team of engineers developing the framework, relying on sponsorships and donations. Despite these humble beginnings, Vue is growing very fast and is already experiencing strong uptake with new companies and developers.

Learning Curve
Applications written with React are written in JSX, a syntax extension to JavaScript which requires developers to have JavaScript knowledge. Because it is a very flexible framework, it is also one which offers little structural guidance for developers when creating an application. Due to its depth, it takes a relatively long time to master, and requires competence in integrating user interfaces into an MVC framework.

Angular is much more opinionated on how an application should be structured, which makes it easier to grasp. However, it offers a fatiguing number of tools for developers to learn, as well as requiring developers to use TypeScript, which is relatively niche compared to JavaScript and is therefore less dependable as a long-term choice for companies. Angular is also more bloated in features compared to its counterparts, which results in a significant learning curve.

Vue is the easiest and most approachable of the three, and some companies have switched to it specifically because of how easy it is for new developers to learn. Its syntax is based on HTML which is easier to learn than JavaScript, and it also features compatibility with React’s JSX in order to allow developers to take advantage of the more powerful JavaScript when necessary.

Performance and Capability
React is a very performant, flexible and responsive framework, particularly due to being heavily JavaScript-based. It features a virtual DOM (Document Object Model) which makes updating the application as a result of changes in data and state more performant. It also supports native development with React Native.

Angular is very performant with similar characteristics to React, although for large, data-heavy applications it can be significantly slower. This is because it features two-way data binding between source and view, whereas React and Vue are one-way. Two-way data binding also makes it more difficult to debug errors in the application.

Vue is a very flexible and modular framework that makes it easier to develop a wide range of different applications. Like React, it features a virtual DOM to improve performance.

All these frameworks are component-based, which means that developers can create small, versatile components that can be combined in different ways to produce complex UIs.

Conclusion
The choice of framework for your project depends on the specific characteristics and requirements of your project, and the skills you have on your team. Despite differences in the way that applications are developed in these three frameworks, all are robust and performant options that are well worth considering.
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Artificial Intelligence and its Challenges with Solution

Artificial Intelligence Development

Technology is riding the future. In particular, the artificial brain (A.I) is turning into an inherent part of our lives at a speedy pace. Almost every recreation which is carried out in the digital world can be traced and analyzed with the use of artificial intelligence. What does it imply for technology to have an exact effect on our lifestyle? What problems come with the rise of artificial intelligence? Recently, we have occurred throughout some controversies in the digital world regarding the use of data. A lot of statistics exists in artificial intelligence.

Today we are going to discover a less pervasive topic – challenges in artificial intelligence.

Drive operational efficiencies

Render higher and deeper data-driven insights that force operational efficiencies.

Transform choice making

Embark upon your AI ride to find the rich records insights that will permit you to change your selection making, real-time radically.

Grow the business

Drive business consequences and create new revenue streams to grow the business.

How Transform your business with AI-enabled infrastructure?
Arya affords the revolutionary solutions that minimize complexity and allow our customers to capitalize on the promise of AI. We uniquely grant a vast portfolio of technologies to deliver the Narrow Intelligence, General Intelligence and high-performance computing options that underpin successful AI implementations. Here are some examples of AI:

JudeFly – Travel Booking Agent

Objective: Travel Companies spent lots of money and time in managing the high-quality support system and still, customers are not satisfied with the offered services as travel agents are not available 24*7, do not provide proper support thus loose business leads, etc.

Challenges: For Travel Companies it is a major challenge to satisfy their customers, resolve the queries timely and available all time.

Solutions:
* Artificial Travel Agent are available 24*7
* Handles 4-5 customers at a time
* Instant and Timely Support to the queries
* High-Quality Customer Support at Low Cost
* Smoother Interactions
* Hustle free customer support system
* Replaces Tier-1 Support Or Travel Agents
* More Business to Close, Repetitive Customers
* Saves the Business Running Cost

FactorySync Survey

Challenges: Scanning Driver License

Solution: Collect survey information by scanning driver’s licenses and gathering questions regarding user’s e-cigarette usage.

Related Artificial Intelligence Technologies:

AI permits corporations to make significant choices with growing data. It’s a story-driven via statistics – how it’s analyzed, managed, stored, processed, blanketed and exploited – to decrease risk, derive value, and create new, significant opportunities. Today’s technologies are developing data at speeds and volumes in no way imagined. From the Internet of Things (IoT) to excessive overall performance computing, to mobile applied sciences and applications, it is the data that is fueling AI.

Solution:

A sizeable portfolio of technologies creates high-performance computing and data analytics to underpin profitable AI, desktop and deep learning.

IoT

The Internet of Things (IoT) is about more than connecting things. It is about data. And, IoT requires AI to make the feel of the data. We trust AI, and IoT must work in tandem to drive faster, better, more profound and new insights to allow groups to stay competitive and grow.

Solution:

Modernize your information core with future-proof storage architectures and industry-leading software.

Cloud

Organizations today understand the need to seriously change and that transformation need to appear throughout the edge, to the core, to the cloud. Where will your facts live? Understanding the cloud operating model that protects your information capital is a vital step in your AI journey.

Solution:

Know your fees and manage your path to the cloud for higher commercial enterprise results.

Conclusion

Despite the scale and kind of solution, Artificial Intelligence can become a stable basis for a business or a separate operation. Coupled with mobile and different technologies, AI permits corporations to remedy present issues, deliver new experiences, and always power sales and technology.