5 Ways AI Is Transforming the Healthcare Industry

Many of us may not realize that Artificial Intelligence (AI) has quietly established a global presence in our everyday lives. From revolutionary apps such as Facebook and Uber to mobile check deposits, we have a lot to thank AI for. 


The healthcare industry is starting to witness massive upcoming changes that will change the whole game. Many hospitals and healthcare professionals have started incorporating this groundbreaking technology into their work lives, and the results have been impressive so far. Here are five ways that AI can, and will, positively impact the health industry. 


( 1 ) Making sense of big data: Healthcare professionals rely on big data to study diseases so they can try to find a cure for them. The problem is that examining big data can get really complicated and even take years to understand, so this spurs the need for AI. Using automated technology also reduces the chances of misinterpreting information and therefore, saving even more time. 


( 2 ) Brain-computer interfaces solution: Some people have had the heartbreaking experience of seeing their loved ones struggle to speak due to neuromuscular disorders. The solution for this lies in the hands of a brain-computer interface, or BCI, which takes brain signals and projects them onto an outward device. BCIs not only work to solve communication barriers, but are also being used for prevention of life-threatening habits such as alcohol and smoking as well as detection of health issues. Learn more about the various medical applications of BCIs

( 3 ) Robots helping perform surgeries: Yes you read that right. More and more doctors are finding the option of robot-assisted surgery attractive for various reasons. The most important reason is that robots allow levels of precision and control that humans may not be capable of. A new study by iData Research reveals that the robotic surgery market is expected to reach $7 billion by 2025. 



( 4 ) Accelerating the development of new medicine: AI-created medicine will be used on humans for the first time this year. This is exciting news since manual drug development processes can take up to 20 years, while AI can get the job done in just weeks. Therefore, the incorporation of more AI in medicine development will be a huge step-up towards medical advancement. It is very likely that the majority of new medicines near the end of the decade will be developed with AI. 


( 5 ) Simplifying the medical imaging process: According to a survey by Definitive Healthcare, approximately one-third of organizations use AI to assist with medical imaging processes, resulting in more faster and accurate diagnoses. 


The results of the studies conducted on artificial intelligence processes thus far give us a bright outlook on the future of healthcare. The possibilities with AI are endless. The question then remains, how will medical professionals allocate the rest of their time to seek better treatments and cures for patients? 

Sunvera Software is one of the market leaders in providing custom AI-based telehealth solutions to medical professionals. We have pioneered intelligent apps that solve common issues such as accessing urgent care and medical research studies with ease. 


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Find My Phone Apps


Our dependence on smartphones has multiplied exponentially in the last few years. They might have eased our lives but we are a single object away from a disturbed life. That object is our phones. If by any mistake or accident, we lose our phone, we will be a mess.

Multiple backups and cloud storage might get us our data back but they won’t get us our phone back. Nevertheless, the concept of “Find my phone app” has been worked upon a lot and there are multiple such apps in the market. Their significance has led to a lot of improvement and research in this domain.


“Find my phone” app lets you recover your data, photos, phone numbers, and helps you track the location of your device. The battery life and details of the Wi-Fi network it is connected to can also be seen. Android’s “find my device” system is pretty sophisticated as it pinpoints the location of your device on a map. The app can also be used to ring it remotely or lock it. Wiping data off your device is also an important feature of this app.

Find my phone app has a large scope in the app market because phones and other android devices are a necessity in everyone’s life. People use them for their official and private tasks. Therefore phones are of immense importance to everyone.

Designing such apps is a profitable investment these days. Multiple factors influence the design and cost of the app.

Process of making the app

All the requirements for the app need to be gathered at first. For instance, if the app is for androids only, different android versions, various phone models, and app platforms are to be jotted down. This step is followed by the UI/UX design of the app. It will be the programmer’s job, however, multiple things need to be discussed with the investor as well. After finalizing the UI design and a lot of programming, a prototype is made. Multiple test runs and analyses are performed which help to understand the practicality of the app. App development is the next process that finalizes much of the programming and gives a final version of the app. After quality assurance and multiple checks, the app is ready to be launched. App deployment takes place after the design, user interface, and quality meets the requirement of the client. The support and maintenance team has to be on duty all the time and fix any errors or bugs that might be encountered.

Cost and conclusion

The variety of designs and features makes the price of such an app, a variable. However, according to an estimate, such an app can be developed in $3000-$18000. On average it takes around 45 days for such an app to be developed and run all the quality assurance tests.

Mobile app business is on a growth trend for 2020

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Mobile apps growing again in 2020.

Mobile app business is on a growth trend for 2020, according to the International Data Corporation (IDC). The market is projected to be valued at US$15.5 billion by 2020. There’s a huge amount of mobile apps that can be used for entertainment, communication, banking, and business purposes.

There are millions of apps and websites available, so you can count on not having enough time to hunt through them all.

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Why Mobile Apps Are the Next Big Thing:

You won’t be able to tell us that you’re not using a mobile app. No worries, because most of the apps that you find are all over the Internet, such as Facebook, Instagram, and WhatsApp. People are always spending more time on the Internet, and that’s because mobile is the preferred option for doing any task or gathering information that can be sent over the Internet.

Not only that, but many of the apps you find are optimized for mobile, such as instant news, music apps, and banking apps. In order to create a website, even with desktop technology, you need to make a webpage.

While there has been a recent wave of apps targeting mobile devices, most of them are targeted at enterprise customers. But many have a more consumer-like appeal, such as Woot, which offers a social feature for the “smart home.” It’s not enough for app makers to simply develop for the enterprise market, says Ram Iyer, CEO of app development company Sunvera Software. He says an app should give users multiple ways to interact with it, and not simply be a “single button in your hand.”

For example, Woot, a social app, has various ways to communicate with customers; people can post updates on Facebook with Woot’s “Like” button, or chat with company members using the app. Other companies, such as Amazon, Snapchat and Twitter, offer additional messaging features.

The question for developers and consumers alike: How do you make an app to meet the growing expectations for consumers and the growing need for enterprise software?


Sales Enablement Apps To Zoom Your Sales

Sales Enablement Apps Are The Future of Selling

Primary function of any business is to “sell” something. Anything that helps make a sale is extremely crucial to not only profitability but also survivability. Sales enablement apps precisely help achieve that. They are core to any company that wants to improve their sales process and to help achieve defined sales metrics.



All sales enablement apps must have few core functionality along with set of personalized abilities to suit business needs. Sales Dashboards, Sales Metrics view, Collateral & documents repository, Product availability & Marketing  ability and AI powered Chatbot are some essential and optional components that define a good sales enablement app.

Sales enablement apps allow mobile sales and marketing teams to keep  all their collaterals in a single repository that is easily accessible. As a result, sales people save significant time chasing collaterals essential for reaching sales targets.

Enable marketing and content creation teams to access precious data and to update collaterals based on marketing metrics. As a result, sales department can align themselves with marketing efforts to present an effective and credible front to prospects.

Legal compliance is a big factor for many regulated industries like healthcare, pharma, finance, real-estate and food & agriculture. For such companies, it is essential to have all such documents in a single repository.

Big part of sales enablement is meetings, executive briefings, training and onboarding. The Sales enablement app should fully allow these functions with easy. Furthermore, ability to schedule and reschedule meetings on the fly would help sales staff to achieve their sales metrics.

At Sunvera Software, we help you with creating your very own “Sales enablement” app to zoom thru your sales goals.

US falling behind in AI, ML

According to Forbes magazine 80% of enterprises already have some form of AI (artificial intelligence, machine learning, data analytics) initiatives with Asia Pac leading the field. Product Innovation and Research & Development, Data engineering, Intelligent workflow and decisioning automation, and analytic operations at scale being main areas for AI.

In many of the areas, US is behind both AsiaPac and Europe which is concerning given that traditionally US has lead the way in emerging technologies.


State of Affairs

The three main points from Forbes article are:

• 80% of enterprises already have some form of AI (machine learning, deep learning) in production today.
• 30% of enterprises are planning on expanding their AI investments over the next 36 months.
• 62% expect to hire a Chief AI Officer in the future.

An interesting insight from the article is that enterprises are starting to benefit from AI like never before. More enterprises benefiting would mean more and widespread application of AI techniques.

What can we do?

However, the fundamental question (like always) – is it vaporware? And when is the right time to jump in? And what can we do to establish US dominance in such emerging fields.

We at Sunvera started working on AI (machine learning/data-analytics) three years ago when we developed a product for a client in the financial sector. The AI web portal was designed to accurately forecast macro-economic metrics for application in financial investments to maximize returns and minimize losses. The system uses historic macro economic indicators to derive near future and long-term forecasts.

The mean error between actual and forecast values was less than 0.25% indicating a high confidence factor in results.

Our experience developing the product has helped us understand the nuances not only from a software development point of view but also from client’s application of AI to their businesses.

For example: in any application involving Artificial Intelligence, Machine learning or data analytics, it is important to start with good and sufficient data. It is also important to have wider datasets – factors not directly affecting outcome – to ensure good results. Finally, determining how to present results – web portal, mobile apps – is important ensure clients are able to benefit from the application.

At Sunvera Software we we can help you navigate and benefit from AI, ML and data-analytics. We know to separate vaporware from real when it comes to your specific solutions and help increase revenues and reduce losses.

Google Vision API: Technology That Can Sense Our World

Google Vision is the future

Google Vision API: Technology That Can Sense Our World

If you have been spending a lot of your summer watching SYFY Blockbusters, you’ll know that the most powerful computers are like humans, in that they can, see, taste, touch, hear, and smell the world around them.  One of the latest and greatest Application Program

Interfaces (API), Google Cloud Vision, enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use API.  Finally, your computers and smartphones can see and sense their world.  How does it work?

  • Google vision can detect individual objects within larger pictures to categorize and build metadata on your image.
  • Vision API has the ability to grow and change over time as more objects are introduced to improve accuracy.
  • Vision API can help moderate, prevent and block violent or adult content on crowd-sourced images.
  • Vision API can detect text and language from images using optical character recognition and Automatic Language Identification.


The myth that only big business can utilize google vision is a false one.  Small and mid-size companies can improve their efficiency, and streamline their categorization and inventory processes all with a simple click of the button.


Sunvera Software is here to help your small and mid-size business achieve the success and proficiency your company has been hoping for.  Check out our website or give us a quick call to begin planning your tech future today.

AI vs. ML

What’s the difference between Artificial Intelligence and Machine Learning

AI vs. ML

Artificial Intelligence (AI), in contrast to the natural intelligence of humans, is machine taught and learned technology.  Coined in the 1950’s, Artificial Intelligence is one of the biggest buzzwords impacting big data tech companies today. The 6 major goals of AI are as follows: Continue reading “AI vs. ML”

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