The agriculture and food sector in itself is a trillion-dollar industry. With the ever-increasing population, there is a higher demand for food which in turn demands more production. However, with the current farming techniques, we are using, we can’t produce enough to meet this demand.

This has led scientists to develop new methods that would prove to be more efficient than the current farming techniques. Automation by the use of robots is one such solution that seems to be the answer. This requires the use of Artificial Intelligence (AI) and Machine learning (ML).

 

Current State of the Agriculture Industry

The agricultural sector is one of the most important sectors in any economy. It employs a significant amount of workforce and there’s a high demand for food produced by it. However, to meet this demand for food, we need to increase the production of these farms. But with humans working on it currently, it’s not always possible. There is a lot of wastage in this process because of which there are fewer numbers that end up being produced.

This is where agriculture technology software such as robots come into play and prove to be a very efficient solution.

 

How AI and ML Can Improve Agriculture Practices

AI and ML can improve farming practices by the use of machines. These machines can monitor the condition of a farm, take care of it just like a human would do, and increase production while reducing the waste produced.

This technology is being developed currently to help farmers in their day-to-day tasks using robots that have AI/ML systems installed on them. The use of these robots will not only improve the farm output but also increase efficiency in farms.

Machine Learning is an automated method for obtaining actionable insights from data that provide predictive models through algorithms and statistical techniques. Machine learning can help organizations automatically discover important patterns hidden in large data sets, ranging from consumer preferences to anomalies affecting critical systems.

AI is a rapidly growing technology area. It also can perform tasks in an automated manner and can provide better solutions than humans can. This has led to not just improvement in industrial processes but also aids in the development of the agriculture and food sector.

Some specific applications of agricultural AI are:

 

Determining Weather and Climate

The current harvesting season depends on the climate and weather conditions that we experience. With the use of this technology, we can predict future climatic patterns and plan to avoid any loss and increase yields by the use of AI/ML systems.

 

Predictive Maintenance

This will also contribute towards increasing the efficiency of the farming sector. By using predictive maintenance on farm machines, we’d be able to plan out when there is a need for repair and replace it before it causes issues.

 

Plant Protection

We can use AI/ML to prevent any sort of plant injury while at the same time boosting its growth rate by identifying pests or diseases that affect the growth of plants.

 

Data Collection

By having data collected on an ongoing basis, we can use this information to improve crop yield and ensure efficient farming practices. This is where the robots come in handy since they can gather all sorts of data without any issues.

 

Automated Irrigation

Using AI/ML, systems can be automated so that they can automatically control sprinkler valves without any human interference. This will help save time along with water.

 

Identify Genetically Improved Seeds

These seeds are genetically improved so that they have better yield and higher resistance to diseases or other factors that affect plant growth. This technology helps identify these seeds more quickly thereby improving crop yields.

 

Identify Crop Problems

By using AI, we can identify and fix the problems with crops faster than it would take a human to do so to increase productivity and avoid any losses because of this problem.

 

Other Useful Technology/Software For Agriculture

Along with AI and ML, farmers can leverage other technologies as well to improve crop yield and farm management strategies.

 

Jatropha Curcas Plant

This is a plant that’s grown specifically for biofuel production purposes. This plant doesn’t require much maintenance, can grow on soils with high acid content, and can produce for up to three decades.

 

Plant Sensors

These are sensors that collect information about the state of plants hence allowing growers to target their fertilization accordingly. It also allows them to determine which stages of growth require more water or nutrients.

 

Virtual Reality

This technology is being looked into as a way to monitor and enhance crop yields. It will allow farmers to experience what their crops would look like under certain conditions, without actually needing to visit the farm. This helps save time and boost efficiency. VR systems provide a three-dimensional view from all angles which also allows for easy monitoring of many different crops.

 

AI and the Future of Agriculture Technology

With the advancement in AI and ML, more people are looking into how these technologies can be applied to improve agriculture and its efficiency. There is a good amount of research already done on this but still, more work needs to be done.

Any new technology that comes about will need some time to gain acceptance by farmers as it’ll take a while for society to adapt to it.

With the current advancements that are being made in this field, there is a very bright future for agriculture and its efficiency. AI & ML will play a large role in the success of farms around the world.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

A data breach is when the personal information (e.g., PHI) of an individual is accessed by unauthorized individuals; this can lead to identity theft and other harmful activities. Healthcare data management software systems are part of the larger network, which has many components that can be hacked into or infiltrated by would-be hackers. Any organization that deals with the healthcare industry should be aware of the cybersecurity threats that are out there. Healthcare is one of the most targeted industries for data breaches, so this industry needs to be particularly careful.

 

Importance of Securing Healthcare Data

The most common type of data breach is a malware or virus attack. For example, an organization’s access logs are collected by the hackers so they can gain more information about the company itself for future attacks. This includes knowing how many employees have access to what information within the organization’s internal system. Hackers can use this data to do some pretty damaging things, like ransomware.

Businesses are responsible for protecting their data. If the company’s data gets hacked, it can have devastating consequences on both customer privacy and the business itself. For example, if a healthcare software company is hacked, there’s a possibility that PHI could get compromised which isn’t good news for anyone involved. Data breaches can happen in practically any industry, but the healthcare industry is a particularly lucrative one for hackers.

 

Preventing Data Breaches Through Secure Software

There are some steps that organizations can take to prevent a data breach from happening in the first place.

 

Make sure you’re using the latest version of your software.

You can find updates in your system’s help menu or on the software developer’s website. If there are security patches, you need to download and install them. Not installing these updates can leave your software susceptible to attacks.

 

Use strong passwords.

The stronger the password, the harder it will be for hackers to access your information. Make sure you change your passwords every year or so as well—you don’t want hackers using an old password for their purposes. If you use a software system, make sure your passwords are unique to that system. You may want to use a password manager for this purpose if you have trouble remembering them all.

 

Check your security logs often.

Some computers will generate log files when there’s information about suspicious activity on the computer itself, such as attempted access or when something is detected in the system. These logs can help you monitor what’s going on in your system and who is accessing certain information; if someone unauthorized has access to PHI, for example, it can lead to a data breach.

 

Hire a good cybersecurity firm.

A cybersecurity firm can help you monitor your software for any possible bugs or security vulnerabilities that could lead to a data breach later on. If you do detect an issue with your system, they can provide technical assistance for remedying the problem. You need professionals dealing with these issues to ensure everything is taken care of properly.

 

Build internal defenses against data breaches.

You can set up security monitoring systems inside your walls to keep an eye on everything that’s going on with the system. You can also use your knowledge of what’s happening in the outside world—like new software updates and patches—to prevent cyberattacks. The more you know about the threats out there, the more you can do to keep your system secure.

 

How to Choose The Best Healthcare Security Software?

There are many different factors to consider before you choose your healthcare fraud detection software.

 

Make sure the company you’re buying from is reputable.

When researching your next purchase, always look into what kind of reputation any given vendor has. A good place to start is by checking out online reviews and seeing if other people have had good experiences with them. If you do end up looking at multiple companies for comparison, make sure to keep an eye out for any recurring issues that may arise with your security options as well as the organizations themselves. Keep in mind that some vendors may be trying to push certain products on you and using scare tactics about potential risks to get you onboard; they may not be the best option for you.

 

Choose software that is compatible with your current ones.

Before you buy anything, make sure to check if it’s compatible with other software you already have installed on your devices. If you’re using a specific brand of security software, for example, make sure any new programs are compatible or else you’ll have to uninstall the old one to take advantage of a new choice. If you’re not sure about compatibility, check with the vendor or leave the non-compatible software off your purchase list for now—you can look into it further down the line when you know exactly what other options you want but don’t necessarily need right away.

 

Don’t just pick something on a whim.

Check out as many different options as you can to see what the market has to offer before choosing one. If you’re looking at more than one option from a particular vendor, take note of any differences between those products and see if they truly have anything unique or special that sets them apart from their competitors. If you don’t, you may miss out on an even better choice that’s more suited to your needs.

 

Go the custom software route.

If you have very specific needs that none of the traditional software can accommodate, then go with something custom. This is usually at a higher price but the benefits outweigh the costs if it gets the job done better than any other program out there. Custom programs are also more likely to be compatible with your system properly so you don’t have to constantly be worrying about how it’s affecting your overall setup.

 

What To Consider Going Forward In Healthcare Data Security?

When choosing a healthcare data security software, make sure it works for you—not the other way around. Although certain features may be more desirable than others, they aren’t as important as your specific needs. If one program has everything you want but something else is better suited to your setup and the way you work, then go with that option instead. You can always try to adapt the features you want into the software you have while learning how to work with something that isn’t exactly what you were used to at first.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

In today’s world, the ability to connect and create relationships with your community is critical. Without a strong virtual presence, you are limiting yourself from reaching a large portion of potential supporters.

Livestreaming is the latest trend in online engagement. You can currently livestream anything from events, book launches, weddings, and more. But what makes a successful livestream? And how can you make sure your virtual event is engaging for your audience?

 

Increase In Livestreaming Virtual Events

Livestreaming has been increasing in popularity for virtual events. This is for good reason. Because livestreaming video content can increase site traffic and search engine optimization (SEO), it has become the go-to strategy for virtual event organizers.

Livestreaming your event allows you to take advantage of SEO benefits because Google loves fresh, updated content. If you are livestreaming an event, this allows you to increase your livestream movie’s SEO value by uploading it to sites like YouTube or Vimeo.

According to OptInMonster, 89% of video marketers say that video marketing gives them a good ROI.

 

How To Host and Livestream a Virtual Event

Now that you understand the importance of livestreaming virtual events, let’s take a look at how to go about hosting one.

 

1. Choose the right platform

There are a variety of platforms that you can use to livestream your event. The most popular platforms are Facebook, YouTube, and Periscope.

Each platform has its pros and cons. For example, Periscope is known for its live interactions with viewers. In contrast, YouTube allows you to upload pre-recorded videos, which gives you more control over the final product.

 

2. Choose a live streaming device

Livestreaming devices can help you stream your virtual event from almost any location.

Some popular live-streaming devices include the Livestream Broadcaster, the Teradek VidiU, and the Mevo.

Choosing the right device will depend on your budget and needs.

 

3. Promote your event

Once you have chosen the platform and device for your live streaming virtual event, it’s time to start promoting it!

Use your existing social media channels to promote your event, and make sure to create a dedicated event page on your website.

In addition, email lists are a great way to let people know about your upcoming event.

 

4. Prepare for the livestream

Before the day of the event, make sure to test your equipment and check the internet connection.

Additionally, make sure to have a backup plan in case of technical difficulties.

On the day of the event, be sure to start promoting it early and keep an eye on the livestreaming device to make sure everything is going smoothly.

 

5. Host a Q&A session

One of the best parts about livestreaming your virtual event is that you can interact with your audience.

Host a Q&A session by taking questions from viewers via Twitter or email. This helps to increase engagement because it makes the livestream feel more personal to the viewers, which increases viewership and loyalty.

 

6. Host giveaways

Virtual event guests are more likely to engage with your livestream if there are prizes involved.

Host a giveaway at the beginning of the livestream so that viewers know what they’re playing for. This will keep them watching throughout the entire event.

 

7. Keep it short and sweet

It is important to keep in mind that not everyone will have the time to watch your entire livestream.

Make sure to keep your event short and sweet, with breaks for Q&A sessions and giveaways. This will ensure that viewers don’t get bored and are more likely to stick around until the end.

By following these tips, you can successfully livestream your virtual event and reap the benefits of SEO and increased brand awareness, site traffic, and community engagement.

 

An App for Virtual Events Can Improve Viewer Experience

Hosting a virtual event is an excellent way to increase traffic and engagement to your website, as well as attract new followers. That said, it can be difficult to make every attendee feel like they’re physically in the same room as you, especially if you have a massive audience. Luckily, livestreaming apps make it possible for virtual event guests to engage with the host and each other in a way that feels more personal.

 

Virtual Event Apps Make It Easy for Attendees to Interact

To make the livestreaming experience feel as interactive as possible, many organizations use virtual event apps to help attendees connect. Virtual event apps allow guests to communicate using video chat, send messages and GIFs, and participate in Q&A sessions. This creates a more interactive livestream experience that makes guests want to keep coming back for your next event.

 

Virtual Event Apps Make Livestreaming Easier for the Host

Hosting a virtual event can be extremely time-consuming, especially if you’re managing multiple platforms (i.e. Facebook, Twitter, and your website). Virtual event apps make it easier for the host to keep track of everything that’s happening during the event. With a virtual event app, hosts can see which attendees are online, view conversations between guests, and moderate Q&A sessions. This takes some of the stress off of the host and allows them to focus on interacting with guests in real-time.

Livestreaming has many benefits when it comes to marketing your business. Although it is fairly simple to livestream your event in person, it can be much more difficult to do so when broadcasting from a remote location. Fortunately, virtual event apps make livestreaming easy for the host and guests because they cut down on lag time between hosts and guests, provide an interactive experience, and make it easy for hosts to keep track of what’s happening. Now all you need to do is find a reputable virtual event app development company to take care of this process for you!

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

I’m sure by now most of us have seen the announcement and subsequent coverage of Samsung’s new Galaxy Z Fold and the Galaxy Z Flip phone models. The foldable devices factor has been tried before, but it seems that this time around both Samsung and others in the industry are taking it a bit more seriously. And with good reason – as devices get smaller and more portable, the need for a design that can take advantage of that portability becomes more and more important.

From a developer standpoint, what does this mean? What changes need to be made to support such devices?

At first glance, it seems the answer would be simple – more screen real estate! However, if you take a closer look there are some other interesting issues to consider in this new emerging technology in apps.

For example, what happens to the UI when you fold or unfold the device? Do you adapt the UI to each form factor individually? Do you have one layout for different modes? Or do you simply lock it in “unfolded” mode with an option to switch when unfolded?

 

Current State of Foldable Smartphone Industry

Before we can dive into what needs to be done to support foldable devices, I think it’s important to take a look at the current state of the foldable smartphone industry.

Currently, there are only a few companies that have released foldable smartphones. These are Samsung, Huawei, Xiaomi, and Lenovo.

Samsung was the first to announce its plans with the Samsung Galaxy Fold in March 2019, and the phone was released in September 2019. Following the Galaxy Fold, Samsung released the Galaxy Z Fold 2 in September 2020, the Galaxy Z Fold 3 in August 2021, and Galaxy Z Flip in February 2020.

Huawei released their first foldable phone, the Mate XS, in November 2019. Following that was the Mate X2 in February 2021.

Xiaomi came out with their version of the above models with the Mi Mix Fold, which was released in April 2021 in China.

Lenovo also took a shot at foldable smartphones by introducing the public the concept of the Cplus Bendable Phone, which can also be used as a wearable, back in 2014, but the phone has yet to release. There have been many rumors about the release date of the phone. Some said 2017, some said 2021, but the phone has not reached the consumer market yet.

 

How To Develop Apps for Foldable Smartphones vs Regular Smartphones

So, now that we’ve looked at what the landscape of foldable mobile devices is like, how about we start looking at this from a developer standpoint? As we mentioned previously, there are some additional challenges to consider when dealing with these devices.

The first challenge stems from screen real estate. With traditional smartphone devices, you can assume that they will be in portrait mode and that the app will be designed to fit in that orientation. However, with foldable devices, you need to be prepared for both orientations – portrait and landscape.

Another consideration is input. With traditional smartphones, you can assume that users will primarily be using their fingers to interact with the screen. However, with foldable devices, this may not be the case. Users may want to use a stylus or their finger as they would with a tablet, so you will need to take this into account when developing your apps.

Finally, test on all supported devices and form factors early and often. This is something that can easily be missed so it is very important to keep in mind.

 

A Look Ahead to the Future of Foldable Smartphone Technology

Now that we’ve looked at what the landscape of foldable smartphones is like, let’s take a look into how this technology may develop over the next few years. As we mentioned previously, there are currently only a small handful of companies that have announced their intentions to produce foldable devices.

However, this number is rapidly growing. Just in the past few weeks, there have been announcements from LG, Oppo, Dell, and Google that they are also working on foldable smartphones.

This increased interest in foldable smartphones can be attributed to a few things. The first is that foldable displays are no longer science fiction. The displays themselves have been around for a few years, however, the technology to construct them into devices has only just started to be developed.

The second reason is simple economics. When you look at all of the patents and research efforts that currently exist for foldable displays, it becomes clear that manufacturing costs will drop significantly over the next few years. This is because the technology will no longer require the use of two separate displays (one for each side of the fold) but can instead use a single display that is bent.

The third reason is that users are starting to demand more from their smartphones. They are no longer happy with devices that just do the basics. Users are now looking for devices that can replace their laptops or tablet. This is where foldable smartphones come in as they can offer a larger screen size without the bulk that you would get from a traditional tablet.

So, what does the future hold for foldable smartphones? We believe that they will eventually become the norm and that traditional smartphones will eventually be phased out. This may take a few years to happen, but we believe that it is inevitable. We also believe that the form factor of foldable smartphones will continue to evolve and that new designs and innovations will be introduced over time.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Artificial intelligence is becoming more powerful by the minute, and this fact isn’t lost on marketers who are starting to put AI to work for their businesses. More than just serving up ads relevant to customers’ specific interests, AI can also be used to serve up personalized content in general. Imagine if you could provide perfectly tailored tips or even short story-like pieces of content to every customer. With the help of AI, this scenario is becoming a reality for many businesses.

 

AI Content Personalization

Marketers have been using analytics tools to get a better handle on how their content performs over time. When everyone gets served up with the same generic content via an email, most who open up the message will read it briefly before deciding to click through or not. When AI is used to serve up specifically tailored content, however, many more people are likely to read it in its entirety. This allows you to provide valuable information that different customers may need based on certain factors.

 

Related Content With the Help of AI

AI isn’t just used to serve up incredibly relevant content. The technology can also be used to serve up related content as well. Imagine if someone who initially clicked through on one piece of content ended up reading an entirely different piece as a result. By using AI, you could offer related articles and pieces of information that a customer may have missed otherwise.

When marketers use AI to provide related content, it not only enhances someone’s experience with a company but can also serve as a way to generate more business. In the same way that you could serve up an entirely different piece of content as a result of someone clicking through on something else they found interesting, you could also use the technology to serve up advertising. By serving up related products that fit into someone’s price range and interests, you can then get them to make a purchase.

From an efficiency standpoint alone, using AI makes sense for businesses of any size. After all, we’re talking about cutting down on the time human employees need to spend on simple content tasks while also enhancing the value of this content in general.

 

The Demand For Personalized Experiences Has Grown

AI isn’t just about creating more efficient workflows. Using this technology, marketers are also able to create more engaging experiences for consumers overall. Even though there’s a lot of competition when it comes to finding new customers, many businesses don’t have the time or money to market themselves in every possible way. With the help of AI, however, it’s easy to serve up the right information at the right time.

An online shoe retailer, for example, could use AI to serve up specific recommendations based on a customer’s location and price range. By offering free shipping on certain orders or running special deals during certain times of the year, you can get people excited about making their first purchase without needing to spend a lot of money on marketing.

When consumers are interested in making a purchase, they want to know that you’ll come through with the type of personalized content they expect. Especially when it comes to eCommerce businesses, AI makes it possible for companies to provide these types of experiences without breaking the bank.

 

Future of Personalization

As people continue to rely on the internet to make purchases, businesses need to offer them the types of personalized content they expect. With the help of AI, marketers can serve up content that’s incredibly relevant and related while also offering contextual suggestions in every phase of a customer’s journey.

As time goes by, this technology will continue to allow marketers to provide a personal experience without needing to spend a lot of money on marketing. By using AI, companies can cut down on the time they need to put into content tasks while also serving up more engaging experiences overall.

Because consumers seek out personalized experiences in every aspect of their lives, it only makes sense for marketers to use AI in this way. By moving toward more personalized experiences, companies are not only able to improve their marketing strategies significantly but also make it easier for consumers to find the types of information they need.

 

How You Can Get Started With AI

While there’s a lot of hype surrounding artificial intelligence, businesses can already see the benefits in action today. Using specialized software and even some simple automation, you can personalize content for each visitor right away. Today’s enterprise platforms like Salesforce use AI to help users create intelligent apps that serve up the right content at the right time. Once you’re able to start thinking about AI as a way to enhance the content you’re creating, rather than a shiny object that makes your job more difficult, it’s easy to see how this technology can change marketing for good.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Voice recognition software is becoming an increasingly popular and useful tool to have in mobile applications. It’s not only a great way to make your application more convenient, but it can also be a huge selling point! Voice recognition is a feature that requires hard work and constant improvement, however, it can make your application stand out. Regardless of the industry that your app is focused on, or the kind of tasks that it has users perform, voice recognition can be very valuable.

 

How is Voice Recognition Used In Apps?

It’s important to remember that there are many different ways you can use voice recognition software in your application. Sometimes it’s used for simple, everyday tasks such as creating a reminder or taking notes. Other times it has more practical applications such as giving the user the ability to search online using their voice. A good example of this is Siri, Apple’s built-in virtual assistant. It can perform several different tasks such as showing the user how to cook, setting alarms and reminders, and even answering general questions such as “Who is Donald Trump?”

 

Types Of Voice Recognition Software

If you’re going to include voice recognition software in your application, you must take the time to do your research. There are many different kinds of software, each with its advantages and disadvantages. The most popular types of voice recognition software are:

 

1. Speaker-Independent Software

This type of software can detect and interpret speech without any prior training. It’s perfect for applications where the user needs to be able to speak in any language. However, it can often result in poorer accuracy rates.

 

2. Speaker-Dependent Software

This type of software can detect and interpret speech after the user has been processed through a short training process. It’s perfect for applications where users will need to speak in a specific language or dialect. It can achieve much higher accuracy rates than speaker-independent software, however, it requires more time and effort on the developer’s part.

 

3. Offline Voice Recognition

This type of software can function without an internet connection. It’s perfect for applications where the user will need to use voice recognition in areas with poor or no internet connectivity.

 

4. Online Voice Recognition

This type of software can function only when there is an active internet connection. It’s perfect for when your app requires the use of voice recognition in areas with very good internet connectivity.

 

How Much Does Voice Recognition Software Cost?

Like most things in life, the cost of voice recognition software can vary greatly depending on the kind that you use. Most voice recognition apps are anywhere from free to $15/mo.

A voice recognition software license can be anywhere from $5-$80.

 

Making Voice Recognition Software More Convenient For The User

Now that you understand why voice recognition software can be valuable to your app, it’s time to figure out how to implement it in the best way possible. Doing so can lead you to success and will give users a reason to keep coming back! When you’re building an app using voice recognition software, it’s important to remember that it should be the most convenient option for your users.

 

1. Ensure That There’s A Clear Button For Confirmation

There should be a clear button on the screen, and the user must use it to confirm their voice command before your app takes action. This will prevent any false positive triggers, which can frustrate users.

 

2. Make Sure The Voice Recognition Software Is Accurate

If your app has poor accuracy rates, it will quickly frustrate users and they will likely uninstall it. Make sure to test the voice recognition software in a variety of different environments and ensure that it works as well as possible.

 

3. Use Positive Feedback To Encourage Users

When your app successfully recognizes a user’s voice command, give them positive feedback. Let them know that they’re doing a good job and that the app is responding to their request. This will encourage users to keep using the voice recognition software.

 

4. Keep The App’s Interface Simple

The last thing you want is for your user to be confused by your app’s interface. When possible, keep your app’s design as simple as possible to reduce confusion. This will make it easier for users to recognize their voice commands and respond accordingly.

 

5. Implement A Clear Option To Manually Input Voice Commands

If you’re going to include voice recognition software in your app, provide a clear option for manual input so that users can still use your app even if they don’t have a working internet connection. This will give them options and keep them coming back for more!

 

Most Useful Applications of Voice Recognition Software

There are many different ways that voice recognition software can be used in your mobile app to make it more convenient and efficient for the user. Here are a few of the most common:

 

Create Reminders Without Using Your Hands

On average, users interact with their smartphones over two hundred times per day! There’s no doubt this number will continue to grow, making your app more useful.

 

Convenient Interaction With Your App

Voice recognition software can also be used to create more convenient ways for users to interact with your application! For example, if the user gets a reminder on their phone while they are driving home from work, they can simply say “remind me about this at 7pm” and Siri will automatically create the reminder. This is just one example of how voice recognition software can be used to make life a little bit easier for your users!

 

Increase Productivity In The Workplace

In the workplace, many different tasks can be completed using voice recognition software. For example, if you need to create a document and you don’t have time to type it all out, you can simply speak into your phone and the software will take care of the rest! This is a quick and easy way to increase your employee’s productivity without having to do any extra work!

 

How to Integrate Voice Recognition in Your App

If you’re looking for a way to make your mobile app more convenient and efficient then voice recognition software is for you. There are many ways that you can build a mobile app with voice recognition, and we suggest using it as an alternative to text-to-speech technology and/or typing! Doing so will give users the convenience of having their words spoken aloud and will save them time!

When you’re choosing a voice recognition software to use in your app, keep in mind that not all of them are created equal. It’s important to select one that is reliable and user-friendly. If you’re not sure where to start, we suggest using Apple’s Siri or Google Now. They are both reliable and user-friendly options that are sure to enhance the convenience of your app!

As you can see, there are many different reasons why voice recognition software is a valuable addition to your mobile app. When implemented correctly, it can make life easier for your users and increase productivity in the workplace!

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

In today’s digital world, if you have any form of online account – from a social media profile to a streaming music service – it probably has some sort of authentication. Whether it is a username and password or a PIN code, our online identities often require us to prove who we are before being granted access to the vast majority of services on the Internet. The drawback of this method is that passwords are often reused across multiple sites, allowing hackers to gain access to even more information than they initially targeted. To combat this issue, many people have turned towards biometric authentication.

 

What is Biometric Authentication?

Biometric authentication is a form of identification that uses physical characteristics to grant users access to their online accounts. The two most popular types of biometric authentication are face and fingerprint recognition, though there are other possibilities such as iris scanning, voice recognition, etc. As there are so many different ways in which we can uniquely identify ourselves by our bodies, biometric authentication offers a quick and convenient way to grant access to potentially millions of accounts.

 

How Does Biometric Authentication Work?

It is important to note that when we are talking about online security, identifying someone by their body is not foolproof – it is just more secure than using text passwords or PIN codes. This means that while using a fingerprint to unlock a phone might seem like the safest option possible, someone can hack into your device and take advantage of that information. However, there are ways in which biometric authentication can add an extra layer of security – such as adding a PIN code after an initial attempt at face recognition has been made.

 

Types of Biometric Authentication Software

When looking at the types of biometric authentication software available, there are two primary methods in which companies can do their security checks:

 

1) Verify your identity using a stored template

This method allows users to take pictures of themselves and use facial-recognition software to create a digital snapshot of their face. When they log in to an account, the software will compare their face to that pre-stored template.

 

2) Verify your live, moving face

This method requires users to take a selfie for the software to capture any slight changes in their expressions and create a model of their face. It is important to note that this type of authentication does not store an image or digital snapshot of your face, but instead builds a model of your face which it constantly updates to ensure that the person trying to access the account is you.

There are pros and cons associated with both types of authentication – for example, with live facial recognition there is less chance of error during login, but it would be easier for someone to hack into your phone and unlock it without your consent.

 

How Biometric Authentication Increases App Security

Changing the password required to log in to an app or site is not only time-consuming but inconvenient for users. This is where biometric authentication comes into play – by using physical identifiers such as facial or fingerprint recognition software, companies can secure their services while providing a high level of convenience for their end-users.

One of the most common concerns when it comes to online security is that passwords can be hacked or stolen. With the introduction of biometric authentication, this is no longer a risk – giving users the peace of mind they deserve.

Biometric authentication is an exciting new method for increasing the security of your apps and sites. When used properly, it can protect your data while simultaneously making accessing them more convenient for users. Although there are still some security concerns that need to be addressed with this type of software, biometric authentication is an exciting new trend in the world of app development – especially for companies with sensitive data.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

With the mobile world being as competitive as it is today, a developer needs to know their options when developing a cross-platform app. If a developer chooses one platform and sticks to it, they risk getting left behind if other platforms gain more momentum. On the other hand, developers can always take an approach where they develop for many different platforms at once. However, this may leave them open to not fully utilizing any existing resources and infrastructure.

Here we will detail a few of the most popular cross-platform approaches so you can decide which one would work best for your next project.

 

What is a Cross-Platform App?

A cross-platform app is any app that runs on multiple operating systems. Unlike native apps which are usually developed specifically for one platform at a time, cross-platform apps are usually developed with web technologies so they can run on different platforms without additional coding or changing the codebase. This results in the ability to release the same app across multiple platforms in one go.

 

Benefits of a Cross-Platform App

There are many reasons why a business should have a cross-platform app. Some of the benefits are:

 

Benefit #1: Ease of Deployment

With a cross-platform app, you only have to deploy the app once. When you release new versions, updates can be pushed out as needed.

 

Benefit #2: Easier Staffing

With different platforms come different qualifications and work experience requirements for developers. Having separate teams for each platform is problematic and potentially costly. The benefits of a cross-platform mobile app is that your developers only have to learn one language and platform.

 

Benefit #3: Ability to Port to Other Platforms

If you decide later on down the road that you want to port your app over to another platform, it will be much easier with a cross-platform app. You already have all the code written and it’s just a matter of modifying it to run on another platform.

 

Drawbacks of a Cross-Platform App

Some of the potential drawbacks of using a cross-platform solution for your business are:

 

Drawback #1: Performance Issues

One key issue with cross-platform apps is that you are limited by the performance capabilities of the targeted operating system. For instance, an app may perform well on iOS but not so well on Android.

 

Drawback #2: Lack of Native Functionality

Another major drawback is that many cross-platform solutions can’t provide all the features and functionality available on native apps. So if your business requires specific native functionality, you may want to rethink your decision. Additionally, some things can be done on one platform that can’t be done on another. For example, an app for iOS may have the ability to track the device’s location while this feature is not available in Android.

 

How to Develop a Cross-Platform Mobile App

Below are the steps that you should consider in cross-platform app development.

 

Step 1: Determining Your Goals

Before embarking on any project it’s important to determine your goals. With a cross-platform app, identifying what devices you need to target is key. Do you want your app for phones? Tablets? Laptops? You don’t want to go through the process and expense of developing an app if you only need it for phones.

 

Step 2: Checking Your Existing Infrastructure

Do you already have some existing web properties that you can leverage with your cross-platform mobile app idea? If so, then this will help tremendously as your development efforts will be concentrated on the app itself instead of having to build all your infrastructure.

 

Step 3: Identify Your User Base

If you do not have a large user base already in place, this is something you should consider when developing your cross-platform solution. You don’t want to release an app only to find out there’s no one to use it.

 

Step 4: Determine Your App’s Functionality

This should be pretty straightforward but you need to identify what your app should do for your business. There are many other apps out there that may already offer the same functionality you’re looking for, so take time to evaluate them before you begin development on your app.

 

Step 5: Determine How You Will Monetize Your App

You need to determine how you will monetize your app and what the revenue model is going to be such as paid downloads, advertising, in-app purchases, or a combination of these factors. For most apps, there’s no one silver bullet for monetization so you’ll need to create more than one revenue stream.

 

As you can see, there are many different things to consider before moving forward with your cross-platform app idea. You need to determine what your business goals and objectives are and how the cross-platform option will best serve those needs. There is no one right answer here as it depends on each business and its requirements. The important thing is that you take the time to do your research before making a final decision.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

The popularity of mobile wallets has grown exponentially over the years. All major players such as Apple, Google, and Microsoft have released their version of wallet apps to support NFC-based payments. These developments have also allowed traditional financial institutions to step up and join the bandwagon by providing digital payment services. With so many companies investing in this new-age solution it seems only natural that mobile wallets are the future of payment transactions.

However, despite their convenience and security features, mobile wallet apps still have many skeptics who do not trust them to be secure enough. They fear that hackers will breach company built-in security measures and steal their personal information or funds stored in their digital wallets. This is why it is important to understand how mobile wallet transactions work, their benefits, and the various ways in which these apps can be breached so this can be prevented.

 

History Of Mobile Wallets

Mobile wallets were introduced through payment apps like Square, PayPal, and Google Wallet. These applications allowed users to use their phones as a digital wallet for purchasing products online or at physical stores. This was made possible by NFC (Near Field Communication) which is a wireless technology that allows devices within close range to communicate with each other.

This was followed by the introduction of Apple Pay, Samsung Pay, and Android Pay, which all utilize the NFC feature to make mobile wallet transactions possible. Since their launch, these applications have gained popularity for their convenience and security features.

 

Are Mobile Wallets Secure?

Since NFC technology is the only requirement to make mobile wallets work, hackers and cybercriminals can easily intercept these radio signals and gain access to users’ sensitive personal information. This is why both financial institutions and device manufacturers need to implement security systems that will add an extra layer of protection when conducting mobile wallet transactions.

Mobile wallets can be breached in various ways. But the most common way is by using counterfeit devices, such as fake NFC card readers and mobile phones. These hackers will try to intercept users’ information by mimicking an NFC-enabled payment terminal and tricking them into giving out their sensitive details. To prevent these kinds of attacks financial institutions constantly update their security features and issue regular security updates for their mobile wallet apps to keep criminals at bay.

 

5 Tips to Improve Your Mobile Wallets Security

Here are five security tips for mobile wallets:

 

1. Enable a Passcode

Enabling passcode protection on your mobile device will give you the peace of mind that only your family and friends will be able to access it without any limitations. Most mobile devices today have this feature already built-in. It is usually located within the “Security” or “Privacy Settings” of your device. Your mobile wallet’s security code should be different from your phone lock screen passcode.

 

2. Beware Of Phishing Scams

Phishing scams are one of the most popular ways hackers gain access to people’s personal information online. Be wary of messages, e-mails, or phone calls that seem suspicious and ask for additional personalized information. Never follow links or sign in using your mobile wallet app if you are not 100% sure it is a legitimate request from your financial institution.

Mobile wallet apps usually have security measures in place to prevent and block phishing scams. You can also turn on two-factor authentication where you will be required to sign in by entering a verification code sent through your  device for every transaction made using your mobile wallet app.

 

3. Update Your Mobile Wallet Application

You should always update your mobile wallet app whenever there is a new update available. This will provide you with additional security features that can help protect your information from being hacked or breached. Samsung Wallet is one of the mobile wallet apps that provide users with updates daily so they are less susceptible to malware attacks.

 

4. Enable Fraud Alerts

You should activate the “fraud alerts” option when you first set up your mobile wallet app. This will allow you to receive instant alerts whenever a suspicious transaction is made using your phone number or e-mail address.

 

5. Restrict Remote Usage

If your smartphone does not have an NFC chip embedded in it, then you can restrict the usage of mobile wallets on that device by disabling the “remote usage” option. This will only allow the device to be used near an NFC terminal that is connected directly to your financial institution’s servers.

 

Future of Mobile Wallets

Mobile wallets are becoming increasingly popular because of the convenience that it offers users. Not only does it give them the ability to purchase items anywhere, anytime, but mobile wallet apps can also be used as secure storage for other important information such as medical records, e-tickets, and contact information all in one place.

The mobile wallet market is expected to grow rapidly over the next few years with Apple Pay alone having more than 383 million users worldwide. The introduction of new features and updates continues to provide consumers with better ways to protect their information online.

As advancements are made, security measures will continue to be improved, providing consumers with secure methods on how they can protect themselves against fraud attacks.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.

Business automation is all about getting daily, weekly or monthly jobs done without human intervention. It’s the process of developing a computer program that can complete certain tasks which are required by an organization regularly. Automating business processes makes it easier for organizations to scale their operations and saves time as well as money. Once automated, these processes cannot be altered and serve as a foundation for future systems.

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on making computers learn from data, discover patterns and predict outcomes without being explicitly programmed. It uses statistics to find trends, update rules and generate predictions based on past experiences. Machine learning algorithms can analyze complex data, identify patterns and create models that adapt to changes in the data.

 

7 Tasks For Machine Learning to Automate in Business

Machine learning is being used in various business processes to simplify repeating tasks that take up a lot of time. It can be applied in the following ways to automate daily, weekly or monthly activities without any human intervention:

 

1. Predict Customer Churn

To prevent losing your customers to churn, identity and target those that are at high risk of leaving. Machine learning algorithms combine customers’ historical data with variables such as demographics and past behavior in the market to identify the likelihood of a customer churning in the future. This helps companies in delivering customized offers to retain customers and stop churning.

 

2. Improve Sales Productivity

Machine learning enables us to learn from a group or several groups of data, rather than a single instance. It allows us to find hidden patterns within the data that would be difficult for humans to find simply by reviewing each experience in isolation. This is especially helpful when it comes to making predictions that can be used in sales. Predictive data analytics using machine learning helps companies to personalize their marketing and target the right prospects, which can increase productivity and improve ROI.

 

3. Personalized Marketing

Personalization has been considered as one of the biggest opportunities for growth in digital business today. By leveraging customer information stored in CRM databases, companies can better understand their customers to tailor their marketing efforts.

By using machine learning algorithms on customer data, companies can identify patterns in purchasing behavior and devise different predictive models that would give them an advantage over competitors. These predictions get more accurate as the algorithm learns from additional data, so companies need to collect as much information as possible about their customers.

 

4. Forecasting Demand

Many businesses today have a tough time predicting future demand, which often results in stock-outs and leads to significant revenue loss. In retail, it is vital for businesses to accurately forecast demand based on product sales data from previous years so that adequate inventory can be maintained to avoid stock-outs. For instance, if a company sells one million units of an item in a particular quarter and it is well received by customers, then to avoid stock-outs in the next quarter it must order two million items for inventory. Machine learning algorithms can take into account various inputs such as sales history, location demographics, and real-time weather forecasts to predict future demand and provide an accurate forecast.

 

5. Identify Fraud Patterns

Fraud detection is one of the key areas where machine learning can make a difference. Machine learning algorithms can be used for identifying anomalies in large data sets that could point towards fraudulent activities, such as credit card fraud or money laundering. For example, in the case of credit card fraud, machine learning can be used to build a model to predict when a transaction is likely to be fraudulent by analyzing past data about how consumers typically use their cards. In the case of money laundering, algorithms can identify anomalies in large amounts of financial transactions and point towards possible illegal activities.

 

6. Risk Management

Risk management is one of the biggest areas where machine learning can be applied for decision-making. Machine learning algorithms can be used to predict possible risks within a business by analyzing input data that would be difficult for humans to comprehend, such as millions of scientific papers and reports, technical information about products and services, insurance claims, weather forecasts etc.

 

7. Predictive Maintenance

Machine learning can be applied for predicting the failure of equipment and machinery before they break down. Machine learning algorithms can help companies understand how equipment is used in each environment and analyze the data collected to determine what can trigger the failure of that equipment. The learnings from these algorithms can be used in operations to proactively plan for equipment maintenance and prevent failures, which will increase productivity by reducing downtimes.

Machine learning algorithms help companies make sense of their data and use it to improve customer experience and develop new business opportunities. Machine learning systems can be implemented by organizations with limited IT resources and expertise as they require minimal human intervention and are affordable to set up. These systems continuously learn from the data that is fed to them and generate insights that can be used in various business cases by companies.

 

Future Use Cases of Machine Learning in Business

As machine learning continues to evolve, it has huge potential in many other areas that are yet to be tapped into. Here are some machine learning business use cases for the future:

 

Personalized Customer Experience

By using machine learning to analyze customers’ preferences, businesses can tailor their products and services for each individual to boost sales. For example, Amazon uses machine learning through its recommendation engine which suggests products based on a user’s previous purchases. This helps Amazon improve the quality of its product offering and boost sales by providing customers with personalized recommendations.

 

Speech Recognition and Language Understanding

With advancements in machine learning technology, machine learning algorithms are now able to understand and respond to queries in natural language. This has opened up a range of new opportunities for businesses as they can start creating virtual assistants that can interact with customers and provide them with information about their products. Further, chatbots can be used to automate customer service, understand queries and intuitively respond to them.

 

Customer Segmentation

Companies can segment their customers based on purchase history, geographic location, or any other relevant parameter. They can then use this data to create personalized marketing campaigns by sending targeted messages that must likely appeal directly to each segment.

Small businesses are currently focusing on machine learning to automate their business processes and gain insights into the data that they collect. It is an essential tool for companies that want to compete in an increasingly aggressive market by using customer data to provide personalized products and services. Machine learning is revolutionizing business models across industries with an increasing number of organizations trying to utilize its potential.

Its huge potential in other areas is yet to be tapped into and with time it has the potential to transform business models across industries. Machine learning has become an integral part of businesses that want to compete in an increasingly competitive environment by using customer data for enhancing their products, services, and overall customer experience.

Sunvera Software develops next-level software applications from start-to-finish. We are a premier software and mobile app development agency specializing in healthcare mobile app development, custom mobile app development, telehealth software, sales dashboards, custom mobile app development services, retail software development, supply-chain software, ecommerce, shopify, web design, iBeacon apps, security solutions and unified access software.

We are proud partners with Amazon AWS, Microsoft Azure and Google Cloud.

Schedule a free 30-minute call with us to discuss your business, or you can give us a call at (949) 284-6300.