Cord Cutting Is the Demise of Cable TV: How Can It Make a Comeback?

posted on February 24, 2022


Ahh, the cable TV. What was once our only way of consuming entertainment, news, sports, and other live events, is slowly dying down.

Sure, you may still have a cable TV subscription at your home, but we can almost guarantee that you will become a serial Cord cutter in the next year or so.

According to a survey by Statista, In March of 2021, 74 million households in the US paid for cable TV. However, this number will drop below 70 million in just a few years.

We’re not making this up!

COVID accelerated the cord-cutting trend that was slowly already underway. In 2020, the cancellation rate of cable TV subscriptions was 15%. In 2021, that number nearly doubled.

Want more damning evidence that cable TV is dying?

According to a survey by The Trade Desk, 27% of U.S. households said that they’ll cancel their Cable TV package by the end of this year. 

Currently, roughly two-thirds of U.S. households still use cable networks. That’s a significant decline if you consider that in 2012, 93% of U.S. households had access to cable.

In the current post COVID era, the masses are increasingly shifting their attention to streaming services. All of this is evident from the massive shift in view time.

If we talk about view time, which is simply the amount of time spent watching television, the view time of streamers is now 68%, whereas traditional TV’s view time is only 28%. 

Video content delivery is changing drastically each day. OTT (“over-the-top”) industry is rapidly evolving to meet the needs of viewers who prefer watching content anytime, anywhere, on any device, on the go. This is exactly what OTT services like Netflix, Hulu, HBO Max, and others are offering. 

How Crippling is Cord-Cutting for the Cable TV Industry?

According to statistics, cord-cutting will cost cable TV companies a loss of $5.5 billion in revenue in just a single year.

By 2026, estimates show that the total number of pay-TV subscribers in North America will be 74 million. Although a healthy number, if you look closely, this is a loss of around 43 million subscribers if you consider statistics from 2010 to 2026. 

Due to dropping viewership numbers, Total TV ad spendings dropped by around 15% in 2020 to roughly $60 billion. This is the lowest-ever number that the industry has ever seen since 2011.

According to the recent market forecast by Kagan, cable TV companies will suffer a loss of $33 billion in the coming next four years. Based on the same forecast, by 2025, the revenue of cable TV providers will plummet by $64.7 billion.

Based on the numbers, the cable TV industry is not doing too well. The cable TV subscriptions are in a virtual free-fall at the moment.

What Are Cord-Cutters Spending Their Money On?

While cord-cutting has its own fair share of issues, people are still happily shifting to OTT services. By issues we obviously mean geo-restrictions. But as howtowatchchannel suggests, accessing channels like NBC, Oxygen TV, Peacock TV, and other regionally blocked channels is relatively easy. 

With a cheaper subscription price, more content, and the freedom to watch any content anywhere, it’s no wonder why OTT services are gaining popularity over traditional cable TV. 

According to research conducted by Parks Associates, cord-cutters spend around $85/mo on streaming services, which is roughly $30 less than what they would spend on traditional cable TV subscriptions.

The study also found that 47% of all cord-cutters subscribe to more than one OTT service to make sure they don’t miss out on anything. On average, cord-cutters subscribe to 4 streaming services.

Streaming popular shows that only get aired on a particular streaming service draws nearly 78% of cord-cutters to subscribe to a new service just so they can watch one particular movie, show, or program.

The OTT online streaming industry will be worth a whopping $124.6 billion by the year 2025. Some of the most popular streaming services in the world are:

  • Netflix.
  • Disney+ 
  • Hulu
  • HBO Max
  • YouTube TV
  • Starz
  • ESPN+
  • Prime Video

What Are the Threats to the Cable TV Industry?

Cable TV providers are on the brink of extinction. But that wasn’t always the case. So what really happened.

Well, as we see it, the cable TV industry has become a threat to itself. With extravagant profit margins, major players in the business never consider anyone as a threat. Hence, never innovated or evolved with time.

This approach led to the birth of OTT services, which are now leaning over television network providers.

Another major reason why television companies lost so many subscribers over the years is because of their limited content catalog. Companies deliberately hide content that consumers actually want to watch in order to charge a premium for it. This used to work in the past and companies such as Direct TV made a lot of money because of it. However, with streaming becoming more popular and offering a lot more content, consumers are ditching cable networks. 

These threats may sound like there is no hope for cable TV providers, however, there is still a lot that can be done.

An Industry in Disarray – What Can Cable TV Providers Do From Going Instinct?

Cable TV providers can still make a comeback. Sure it is difficult to change, however, the cable television industry must innovate. Otherwise, they won’t be able to survive.

So here’s how cable TV providers can resurrect:

Revamp existing business models:

Cable companies can purchase a streaming service that’s performing well. Believe it or not, cable TV providers still make millions of dollars in revenue. American cable TV providers generated 92.44 billion U.S. dollars in revenue in 2019.

Now you must be thinking, why don’t they make their own streaming service?

Well, the risk would be too high. Developing a streaming service from scratch could mean sinking millions of dollars. With no sure-shot guarantee that a brand new streaming service would work, it would be a much better approach to acquire an existing one.

There are already rumors that Hulu will be purchased by some cable TV provider. Time Warner Cable and DirecTV have both made bids already.

Making something exclusive always attracts consumers – especially when there’s hype around it. For example, The Mandalorian can only be streamed on Disney+. Disney holds exclusive rights to the show. 

Cable TV companies could benefit from this approach. By purchasing exclusive rights to television shows, they can air it exclusively on their streaming networks.

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Machine Learning – What It Can Bring to Cyber Security?

posted on February 13, 2022


In 1959, Arthur Samuel derived the term of machine learning and defined it as a field of study that provides computers the ability to learn without the addition of explicit coding. Machine learning enables computers to think and learn from their surroundings using various data models as well as trial and error algorithms. The term ‘machine learning’ is self-explanatory as it provides the computer with the ability to think and make decisions by using various data training and testing algorithms, thus giving the ‘machines’ the ability of ‘learning’ and having control of driving conclusions based on the trained data. The addition to machine learning can work great wonders in cyber security.

Machine Learning: Definition and Types

Machine learning is a branch of artificial intelligence, which is a sophisticated technology that performs tasks without human help. The algorithms are designed to learn from experience and better perform at complex tasks. Netflix’s recommendation system is a good example here.

Types of Machine Learning

The programmers or data scientists choose the type of machine learning based on the data they are dealing with. The four types include supervised, unsupervised, semi-supervised, and reinforcement.

1. Supervised Learning

Algorithms in supervised machine learning are trained based on the labeled datasets which in turn classifies the data and derives the results accordingly. Supervised learning is task-driven.

Example: Filtering out spam emails.

Algorithms Used: Naive Bayes algorithm, support vector machine(SVM), etc. are some examples.

2. Unsupervised Learning

Datasets are not labeled in this one and the algorithm analyzes the datasets and looks for the presence of any pattern in them. Unsupervised learning is data-driven.

Example: Image recognition.

Algorithms Used: K-means clustering, probabilistic clustering, etc.

3. Semi-Supervised Learning

It is a balance between supervised and unsupervised machine learning algorithms and uses a mixture of both labeled and unlabeled data sets. The semi-supervised learning model explores its understanding of the data itself.

Example: Audio and video manipulation.

Algorithms Used: Self-trained naive Bayes algorithm (natural language processing).

4. Reinforcement Learning

Learns the environment on its own and doesn’t use the sampled datasets. Reinforcement machine learning algorithm operates on the trial and error method. Bad outcomes are rejected and the system uses the correct generated results for training.

Example: Policy creation.

Algorithms Used: Q-learning.

A Word on Sophia, the Robot

Activated in 2014, Sophia is the first humanoid robot. She is smart and can not only express facial expressions but can also use humor in her words. Sophia was first launched publicly in Texas. She was also granted citizenship by Saudi Arabia. In the not too distant future, robots will be able to perform daily regular activities in the same manner that humans do in real life.

Machine Learning and Cybersecurity: Enhancing Security

Machine language is imperative to realize the dream of a digital world, giving decision-making control to machines and providing ease to human beings from working on tardy tasks. Apart from just being a helper in daily work, machine learning can also provide benefits in the department of cybersecurity, which is the most present-day demand by the institutes working on confidential data. It is imperative for companies to have a secure system that protects their confidential records and prevents any attempts of hacks. Data breaches of, for example, company profiles can significantly damage their reputation, lead to financial loss and even fines. The introduction of machine learning in cyber security can help solve the security issue present in organizations today.

The future of cyber security lies in advanced technologies like machine learning. With machine learning, we can add security systems trained to recognize the patterns and improve the security systems based on the generated outcomes. Artificial intelligence can cover the loopholes and the hidden ambiguities in cybersecurity, with advancements like facial recognition, voice recognition, eye recognition, and fingerprint recognition, etc. Moreover, technologies like an identity verification system and know your customer kyc compliance can also provide security control on login checks to stop unauthorized users from accessing and corrupting the system.

Role of Identity Verification in Cybersecurity

The addition of identity verification can provide the security of the confidential information needed at the current moment. An identity verification system authenticates the user before giving them access to their system. Identity verification solutions authenticate the identity of customers during onboarding. The verification documents presented by the consumer are verified for their originality. The user’s identity is verified with biometric verification services like Facial recognition that can use 3D mapping and analyze the skin texture along with detecting the liveness of the user.


The chairman of Google, Eric Schmidt, says that the press and media have immensely covered the innovation of self-driving cars and robots whereas the real future of the company lies in machine learning. Machine learning gives computers the ability to become smarter and more personal.

To wind up the whole conversation, machine learning is important, not only for digitizing the world but also for enhancing the current cybersecurity precision and improving the safety protocols of organizations.

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How Artificial Intelligence Can Improve Data Privacy

posted on February 11, 2022


Artificial Intelligence (AI) is used for many tasks in the global digital domain. From customer service bots to virtual assistants, predictive analytics, HR portals, companion chatbots and numerous other applications, AI is literally everywhere around us in the global world.

The last 2 years have given us a much needed lesson on the development of the digital world. The COVID-19 pandemic has taught us that anything that we used to do in person before the pandemic can also be done digitally. Remote work was a distant possibility before the pandemic came, but a number of companies have taken their operations remote and have gone for a digitalized method of operations. From buying groceries to meeting new people, seeing the doctor and celebrating birthdays, almost everything is being managed online.

Now that the light at the end of the long COVID-19 tunnel is finally visible, it can be said that a number of things that we did during the pandemic are here to stay for long. With 5G deployment over the globe, the success of edge computing and the growth of IoT devices, it can easily be said that our lives in the future are bound to get a whole lot better.

Data Threats in a Highly Connected World

The idea of living in a connected world gives us immense passion and joy. But it also has to be said that there are certain data threats that companies and individuals may get to encounter due to the high connectivity in the world around us. There are constant threats looming over the privacy and security of our data, as almost everything is digital now and accessible to all.

The more digital our lives have become, the more we are exposed to the perils of the digital world. 2021 has seen a stark increase in data leaks and ransomware attacks around us today. The cyber world is prone to attacks, and our data seems to be on the radar.

Besides the misuse of data by brands, data breaches from external threat actors have also compromised the safety of sensitive customer information. It was recently found that sensitive customer data, including names, passwords, emails and numbers, were the most common data sources to be compromised in data breaches.

Companies around the world are working on ways they can follow to secure data, and AI has come up with a plausible solution. In this article, we take a look at how artificial intelligence can improve data privacy and the benefits it can provide for the future. Stick with us to find out how AI is determining the waves of change around us.

AI Holds the Future of Data Privacy

According to a recent study released by Gartner in 2019, almost 40 percent of all privacy technologies in the digital world will utilize AI by 2023. This figure and the rising trust of consumers in AI engines goes to prove that customers trust AI and the related algorithms for their work.

The use of AI and automated operations for securing data does make a lot of sense. The world is using such a massive amount of data today that it doesn’t make sense for us to manually update and secure this data. A manual approach will not only waste time but also make it difficult for organizations to improve data security measures.

Integrating AI-driven solutions in your algorithms can help update the security of your data stack and can also add an extra layer of privacy.

Companies can turn to AI algorithms to set up extra layers of protection against data breaches, leaks and attacks. The privacy that comes from AI protection is just what customers expect today and is something that can go a long way to improve customer trust in brands.

How AI Makes a Difference

One can only truly understand how AI makes a difference when they study the challenges in data protection and privacy faced by organizations around us. While the complications of data security and privacy vary across organizations, the two common challenges come in the form of user activity volume and variance in regulations around user data.

Organizations working globally are host to a number of regulations and industry standards, which are different in nature. AI can help organizations with all challenges, as the right AI algorithm can implement access control and multi-factor authentication to provide excellent services. The AI model can adapt to the behaviors shown by users and implement security measures based on that.

The best thing about the AI approach is that it isn’t invasive in nature. Companies and organizations have to be mindful of the security practices they implement because of the fine line between data security and non-compliance.

AI algorithms know how to segment data generated through e-commerce shopping sprees so that only the essential information is disclosed to providers. This means that the shipping company only gets your shipping information, and the payment gateway only gets your financial information needed to complete a transaction. Manually isolating this information from all providers during a typical transaction can be a hard task, but AI makes it possible through effortless operations.

AI Proving Its Worth

Artificial Intelligence algorithms can also help secure data present in different transactions beyond e-commerce. These algorithms make sure that all private data stored within servers comes with an expiration date, which can stop organizations from using data sources for ulterior motives long after the transaction has been performed and secured.

As is the trend with AI across the board, there are multiple applications for AI in data privacy and security. The technology has the potential to hand over the power and the control over data sources to people who actually own it. AI has raised the bar for data security and protection and has provided a pathway that organizations can follow in the time to come.

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Data Catalogs: A Vital Asset In Modern Data Management

posted on February 10, 2022


You can spend more time looking for data than you do analyzing it. In order to transform your business data into a competitive advantage, all your users need to be able to quickly find, understand, and utilize that data. If decision-makers across departments can’t find the data they need or can’t understand it, then they can’t leverage it to optimize business operations and improve key growth strategies. Businesses that establish a data catalog can easily discover, curate, categorize, and share data assets, data sets, and analytical models to uncover new opportunities. Data catalogs are becoming a core component of modern data management, allowing all business users to easily find and access data to accelerate time to insights.

What Is a Data Catalog?

A data catalog is a library where all your business data is neatly organized, indexed and kept ready for use. It organizes the technical details around data assets, or metadata, into defined, meaningful, and searchable business assets to enable consistent data understanding among all business users and data consumers.

What Does a Data Catalog do?

What data catalogs do is part of what a data catalog is – by organizing data from multiple sources into a searchable, centralized library, data catalog tools enable anyone looking for answers to their questions to locate, understand and utilize data more quickly and efficiently. But how do data catalogs do this?

Dataset Searching

Data catalogs offer robust search capabilities that include search by facets, keywords and/or filters, object name, and business term, making locating the right data faster and easier. Many data catalogs automatically rank search results by relevance and viewing frequency, so the best data is readily available.

Dataset Evaluation

The ability to preview a dataset, see all associated metadata, the user who certified the data, and descriptions as well as view data quality information simplifies the process of choosing the right dataset for an analysis.

Data Access & Protection

The data access functions ensure that users can access data compliantly and securely according to their needs. They include protection for security, privacy, and compliance sensitive data, so although everyone can access the same data catalog, only the users with the right permission will be able to access certain data sets.


A data catalog integrated with a business intelligence solution significantly improves the speed and quality of data analysis. It also provides a catalog of datasets and visualization features. With the right tool, advanced data operations would be also available.

Unified Management

Data catalogs eliminate silos for good. By providing a centralized location for your entire business data collection, data catalogs enable a self-service user experience and remove the burden on IT and data specialists to grant access to everyone that needs data and when they need it.

Why Your Business Needs a Data Catalog

According to research from IBM, business leaders spend 70% of their time finding data, and only 30% utilizing it. What good is your data if it’s not used to its fullest potential? Data is a valuable asset only if business users can transform it into meaningful and useful insights to drive their decision-making, derive value and gain a competitive advantage.

A data catalog makes data more accessible throughout your entire organization. Instead of your team having to rely on ITs and data analysts, they can use the catalog’s tools and find what they need in a matter of a couple of minutes. That saves time for everyone in the company, speeds up the decision-making process, and increases productivity and efficiency overall.

Data catalogs foster a data-driven culture. When everyone has access to data, then everyone across departments and responsibility levels becomes more confident and starts speaking the same language. Collaboration becomes easier and transparent. The goal of a data-driven culture is to bring transparency to the entire organization and provide easily consumable insights. It puts data at the center of all decisions, so you don’t rely on gut feelings, but instead on facts. That way, errors are shaved to a minimum and success is almost always guaranteed.

For example, if your business is in the retail industry and combines in-store shopper data, purchase history, and cell phone data, you can use that data to create and launch a geo-targeted ad campaign to potential customers at the point of purchase. Data catalog tools can help your team derive these insights, which can drive and support the ad campaign decisions. At the end, the data catalog enables a more effective ad campaign that retrieves a higher ROI.

Of course, collecting and storing data doesn’t come without any concerns and responsibilities about consumers’ privacy. Regulations about consumers’ data privacy are driving what data companies can collect and how they can store and exchange it. Data catalog tools help organizations stay in compliance with such regulations including GDPR, HIPAA, CCPA, and more.

Data Catalogs: Build or Buy?

It is absolutely possible to build your own data catalog. The question is whether it is worth the investment of time, money and effort, or whether it is better to invest in an already established data catalog tool. Here are the pros and cons of building vs buying a data catalog tool:

  • Building your own data catalog requires a dedicated team of data engineers – you’ll need a minimum of 5 engineers assigned to the project permanently, and even more during the building and implementation stages.
  • Building your own data catalog takes time – for big organizations with enough resources, the process of building their own data catalog could take around 3-4 weeks. However, some report that it has taken them multiple attempts and a couple of years until they finally managed to successfully set up the data catalog.
  • Data catalog standards change quickly; you need a maintenance and support team to keep your data catalog up-to-date – and that is on top of the initial project. You should either hire people to work on that only or add extra responsibilities to your existing team (and we guess they do have more important tasks to focus on).
  • To build your own data catalog, you need machine learning expertise to be able to capture technical, operational, business, and social metadata – data intelligence is crucial for the development of data catalogs and innovations like machine learning are at the core of it. Machine learning data catalogs (MLDC) provide the best possible way for managing, monitoring, and improving the use of business data assets and enable real-time data discovery, automated cataloging, crawling of metadata, and classification of PII data.
  • Building your own data catalog requires UX/UI resources – the goal of building a data catalog is that all of your users can easily find and access data. That means that the data catalog should be designed in a way that all users, regardless of role and expertise, can have a seamless experience working with it. To guarantee that, you’ll need a UX/UI expert working alongside the data engineers’ team.
  • Building your own data catalog is an expensive project – it may cost you less to build your own data catalog but in the long term there are many extra costs associated with this investment. You’ll likely pay 2x to 3x more to maintain your own tool than buying a data catalog with continuous updates and support costs built in.

Contrary, opting to buy an existing data catalog tool is the faster and more agile option. You can start leveraging it right away without worrying about hiring new people, burdening your data team or any maintenance and support. It makes sense to invest in a data catalog solution and let your engineers spend their valuable time working on software that improves your own product/service.

How to Find the Right Data Catalog Tool

The best data catalog is one that simplifies your data management process and helps your organization become more data-driven. Different data catalog solutions are suited for different use cases, so it’s important that you narrow your search to the ones that will best fit your requirements. Some handle data in data lakes and are more suitable for data science, while others are more business-oriented and therefore what you’re probably looking for.

But there’s more to choosing the right data catalog, of course. A data catalog is only as useful as its ability to search and filter data. If it is integrated into a data analytics solution such as Slingshot, it allows users to get the most out of their data and make smarter business decisions while simultaneously offering an extensive catalog of data sources & sets, visualizations and dashboards. It aggregates chat, and goal-based strategy benchmarking, data analytics, project and content management – all in one, a versatile and intuitive app.

A data catalog tool needs to have robust data search and discovery features so that all users can derive valuable insights from the data they work with. It should be able to leverage ML/AI to improve data literacy, accelerate time to accurate insights, and augment data preparation. It needs to be able to utilize pre-built connectors to a wide variety of sources, including an open connector SDK to connect to any other source, and incorporate collaboration. Make sure to also look for metadata curation, and what the vendor’s governance, compliance, deployment, and integration options are.


A data catalog should be the foundation of your data strategy. If you truly want to take control of your data and build one single source of trusted data that is easy to find, download, use and share, then a data catalog is the right tool. Gaining a unified view of all your data across your organization allows you to easily find the right data you need, and spend less time searching for it and more time analyzing it.

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How Digital Trading Cards Can Support Others

posted on February 9, 2022


Modern trends along with digital development have made collectibles a staple of the 21st-century lifestyle. Terms like “digital collectibles,” “NFT portfolio,” and even “Pokemon NFTs” have become synonymous with rising blockchain technology.

However, collectors are often wealthy individuals able to purchase high-priced, unique collectibles from other wealthy personalities. This makes the market one that profits only those in a financially stable position. The question is, can their collecting pursuits be linked to the spirit of blockchain, wealth redistribution, and a more direct support to those who need it most?

What Are Collectibles For?

Collecting is a natural trait in humans, associated with our emotional side and the ability to hold memories. Seeing children play with Pokemon trading cards reminds adults of their childhood, for instance.

But collecting is not only about returning to the past. It is also about praising the present and preserving it for the future. Think of the late 90s, when collecting cards of baseball players and popular TV series, such as Pokemon, were used not only as a way to remember but a way to praise idols of the moment. Kids could show off their Pokemon trading cards to their classmates, evoking interest and a shared appreciation for the famous TV show streaming at the time.

Collecting can attain forms of power, too, as the social layers collectibles add can ignite an uprise in status. Traditionally, art collectors are known for amassing status by the display of wealth, taste and pride through their acquisitions. Now with the rapid appreciation of blockchain-based assets, collectors are turning to new ways of investing their wealth, targeting the decentralized landscape of NFTs.

What Exactly Are NFTs?

NFTs are a new way to hold value and show wealth, all from within a secure blockchain-based environment.

An NFT digital collection, on the other hand, is often sought for the ownership aspect blockchain assets are embedded in. But not all NFT collectors are driven mainly by ownership. The NFT space offers creative, outlandish items perfect for those who are after uniqueness, too.

NFT eccentricity and novelty make them not only possible value storage but also a way for collectors to keep up with the latest emerging trends, and partake in the future of technology. An NFT digital collection can hold immense value, while at the same time offering new ways of collecting, investing and supporting blockchain-based communities and their creators.

The value of collectibles does not only lie in the way they are manufactured, but also in the ways that they can appreciate, such as the CryptoPunks collection whose price has altered significantly since they were minted. There are a couple of markers that can make those assets valuable well beyond their stock price.

Pricing of Collectibles

A collectible’s price can be influenced because it is a one-of-a-kind item. Pokemon trading cards have a lot of printing mistakes, but only rare instances impact the value, as evident on Mewtwo cards that lacked a rarity symbol on the front. One card from that series is worth more than $5,000. The way a collectible is priced depends on a couple of factors, some of them being scarcity, ownership, and uniqueness.

Trading based on those factors would be impossible without a strong community. This network of connections is what allows for collecting in the first place—people who would like to buy and sell potentially rare items. A good example comes from Pokemon, where a collector was willing to pay $240,000 for a Pokemon game trading card due to its rarity and signature of the Pokemon CEO.

Combining scarcity and the status of someone behind the overbearing narrative is another way to increase the value. Pokemon cards are just one out of many examples tied to a bigger product.

Depending on those factors, fans of collecting all over the world search for items that they can hold or later trade. The digital realm is open to new potential collectors, and it bears resemblance to the physical collectible landscape.

Decentralization allows collectors to participate in a variety of aspects of the blockchain ecosystem. Through this technology, artists are able to monetize their talent via an NFT digital collection, and more recently, through digital trading cards, making them appreciate in value in the eyes of the whole blockchain community.

Digital Trading Cards

Digital trading cards are not only virtual equivalents of physical trading cards, but they can also be used to bridge talent with supporters. Through VirtualStaX, a TurnCoin powered platform, people all over the world can create their own, personalized collectibles called StaX and get the additional support they need. VirtualStaX can be created in the StaXApp by people from different sectors like sports, business, and arts among others.

A person interested in creating their own digital trading card, can acquire a BaseStaX, and supporters can acquire them to be part of the person’s journey and directly support the talented person when buying the BaseStaX. Supporters can collect them, reminiscent of NFT collection cards, and profit with the talent’s ongoing success and growth.

Digital cards can not only support the creator but charities as well. While creating the card in the digital trading cards app, the card author can choose whether they would like to devote a part of their income to a charity. VirtualStaX works with two foundations at the moment: Heart of Sport and Heart of Compassion.

The Heart of Sport foundation offers children from disadvantaged backgrounds opportunities to fulfill their sports aspirations. It does so by providing them with equipment, scholarships and training they need to develop their careers. Funds can also go to financial planning, counseling and rehabilitation of athletes all over the world. All inspired by NFT digital collection technology.

Heart of Compassion is focused on providing food, water, health, and human rights to the places that need it the most. The culture of this foundation revolves around the word “Ubuntu” which means, “I am because of who we are.” This spirit of unification and willingness to change are fundamental to a strong foundation.

By using blockchain technology based on NFT collection cards, the invested funds are guaranteed to go to the mentioned foundations, as the technology provides immutability, ensuring that the funds go to the desired place when a transaction is made on the blockchain.

Choosing the Right Card

Collectors can browse through the StaXApp and pick whose journey they would like to be a part of. The Global Popularity Index (GPX) factor, a supply and demand algorithm found in the platform, helps collectors oversee the value of the StaX.

The author of the VirtualStaX can also create a CollectorStax, which is an NFT collection card. If the collector buys it and is right in their assumptions, they can not only help fund the career of the card’s creator, but also profit on the transaction later on. The author of the card does not have to win any big championships, they just need to keep updating and showing signs of progress for the people to follow.

Out of many collecting possibilities that the digital, decentralized landscape provides, like Pokemon NFT projects, some of them, such as VirtualStax, were created to support worldwide talent and people who are in less fortunate circumstances, and this is where the power of blockchain lies—in enabling opportunities for everyone.

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How Is Artificial Intelligence (AI) Impacting the Dental Billing Industry?

posted on February 9, 2022


Artificial intelligence (AI) is a sheer advancement in technology focused on developing high-end computerized applications and software – capable of helping perform critical operations efficiently with minimum human involvement. With the great capabilities of easing critical operations and speeding up things, AI has taken over almost every industry. And dental billing is yet another one of those industries being massively impacted by the rise of AI technology.

The two previous years have been majorly difficult for the dental industry, with most businesses shut down because of the prevailing pandemic. However, the threat and fear of Covid-19 spread have relatively downsized recently, and dental operations seem to open up. But at the same time, there’s a lot to handle for dental professionals, such as the pressure of recovering from the loss and dealing with an excessive number of patients.

This pressure or recovering the loss and handling an increased number of patients directly impacts the billing operations of a dental clinic. And it won’t be wrong if we say that artificial intelligence is rising at the right time and could have some amazingly positive impacts on the dental billing industry.

Here’s How AI Is Positively Impacting the Dental Billing Industry

There are several ways AI could prove to be a beneficial technology for dental billing. The popular among them may include:

AI-Based Quick Scheduling

Since AI is primarily focused on simplifying processes and minimizing human involvement, AI-Based quick scheduling could be a real win for dental clinics. Especially with an increased influx of patients post Covid-19 – quick and automated scheduling could really help streamline your dental practices.

The staff at your clinic wouldn’t have to spend hours taking patient calls and scheduling their appointments only to end up with several empty slots due to a last-minute cancellation. The automated scheduling feature would help patients to book appointments quickly, notify you about canceled slots in time and help organize those on the waiting lists – leaving no empty slots behind.

It would help keep both your patients satisfied and your cashflows streamlined.

AI-Based Easy Information Retrieval

Integrating your patient management software with AI technology could be of great use. Since AI can access, retrieve, and store everything from basic information to behavior of human interactions, it can easily retrieve important patient information and keep it stored in your system.

Your staff doesn’t have to spend hours fetching patient information; instead, it can be easily retrieved by your AI-based software in no time. This timely and accurate gathering of information can really speed up your billing process and support your practice’s accounting team in their collection efforts.

AI-Based Clinical Documentation

A very significant part of dental billing is clinical documentation. You cannot claim treatment at an insurance provider unless you’ve got a foolproof document explaining the entire treatment, analysis, and medication. Also, it’s a real hectic process for the dental professional to accurately jot down everything about the procedure. It takes a lot of time to do that – time that on the other hand could be utilized to treat another patient.

Thus, AI-based clinical documentation could be very beneficial. AI can listen to the entire treatment and analysis discussion between patient and doctor, record everything accurately and convert this data into clean documentation, which then can be easily used for submitting billing claims. This cannot only help take the workload off the dentists’ shoulders but also make the process highly efficient and speedy.

AI-Based Efficient Billing & Coding

Preparing dental bills is a critical task and requires a lot of updated information and focus. Imagine you could get your hands on something that’s capable of automatically creating 100% accurate billing claims in complete alignment with the updated coding policies each and every time! Sounds exciting, right?

Well, AI-integrated dental billing software can do just that without any hassle.

How to Make the Most of AI Technology & Enhance Your Dental Billing Practices?

Since AI has taken over the entire dental billing industry, all you’ve got to do is hire a dental billing service that utilizes an AI integrated dental billing software. It would solve all your dental billing problems and help streamline your billing with increased cashflows while almost eliminating accounts receivables aging on the backend.

The post How Is Artificial Intelligence (AI) Impacting the Dental Billing Industry? appeared first on SiteProNews.

Is AI Technology Your Friend?

posted on February 7, 2022


Technology has been evolving for ages, and every day, it has something new to offer. One such remarkable contribution is artificial intelligence. With the invention of artificial intelligence technology, work operations and other functions have gotten faster and easier. This revolutionary development aims to reduce the pressure on humans while some consider it a replacement, but that is improbable. It has become a resort for various organizations to provide an exquisite system and experience for their users. This virtual tool has been modifying lives and helps with information, data analysis, and other insights within a company.

Let Us Begin with the Definition of AI Technology

AI technology is considered a substitute for humans in providing solutions, creating opportunities, and accomplishing tasks. These machines are programmed to respond with human capacities for contemplation and judgment. AI helps deal with situations intentionally and with intelligence. Some define it as an interdisciplinary science with multiple approaches.

Norvig and Russell, the authors of ‘Artificial Intelligence: A Modern Approach’ explore artificial intelligence based on factors such as thinking and acting both rationally and humanly. It determines the behavioral factor and thought process confined within the AI technology.

AIs are often known for replacing humans, as mentioned above, but in reality, artificial intelligence technology is programmed to make decisions based on incorporated data. Their algorithms work differently from mechanical and passive machines because of sensors, digital data, and other programmed inputs. With its tremendous sophistication like storage capacities, processing velocity, and analyzing performance, AI has never failed to stun its audience.

Industries Using AI Technology

Undoubtedly, every organization and human being is exposed to artificial intelligence at least once in their everyday life. This could be through their smartphones, websites, or the materials they use. Artificial intelligence has swooped up various genres, niches, and startups, from cars to games to home appliances. According to Stanford University’s AI 100 Index of AI startups, the number of AI startups has multiplied fourteen times since 2000.

Here are a few industries that are popularly known to have partnered with artificial intelligence to elevate their business:


Tesla’s self-driving cars are incorporated with an AI mechanism that can signify the malfunctioning of certain parts, show directions, and provide emergency protocols. The car being able to understand the road and drive on its own is a known feature of AI technology.


The online market is undoubtedly a competitive ground, and understanding consumer behavioral patterns plays a significant role in marketing strategy and end-user satisfaction. Applications and websites of online retail use AI to observe and analyze their customers. This includes suggestions based on customers’ search algorithms and recommendations to related products. AI also powers the chatbots that pop up while you enter a website to answer the customer’s interest and queries. AI is used as a tool to enhance user experience and maintain customer satisfaction.


AI has indeed helped diagnose and identify various intense health issues and medical conditions. It helps sort out medical imaging, drug processing, and conduct machine surgery. Artificial Intelligence for Drug Discovery (AIDD) uses AI to understand the relationship between drugs and the disease at a system level. AI is also used as a healthcare tool to derive meaning from a treatment plan, analyze patient records, suggest potential treatment and other intellectual programmed processes.


Like e-commerce, AI helps the entertainment applications suggest related articles, videos, and shows based on the end user’s watchlist or search engine. Artificial intelligence is also used to add digital effects and editing, create creative content, and speed up production in the film industry.


A significant contribution of AI technology is its usage in building an encrypted platform for data, information, and personalization. Face or fingerprint recognition, passcode protection, scanning, and access cards are some of the latest forms of security used by access control software.

While these are some industries that widely use artificial intelligence, there are more like Food technology, travel, real estate, gaming industry, beauty industry, field service management, etc. It is safer to say that, in the present century, no industry, including start-ups, can expand or survive the market demand without the help of AI technology. There are famous companies like Microsoft, Google, Apple, and more that cannot move an inch without AI technology.

What Are Some of the Prominent Features Offered by AI Technology?

Facial Recognition

AI recognizes the user’s face with biometric mapping. It is used in mobile phones instead of passcodes, and law agencies use surveillance technology in CCTV cameras.

Data Analysis

When two or more devices are connected or two software synced, AI collects similar data, analyses, and organizes required information. It understands processes based on previous experiences and gathers information from sources into its data-storage medium.


These AI features are found in almost every service-based website. It works great for customer service and other automated functions. It understands commands and provides suggestions to users as required.


Storage space is an essential component for any business. AI has been upgraded to help with cloud computing. It helps the organizations work more efficiently and with a proper strategy by having all their data automatically updated into the cloud and accessed around the clock.


AI is also an efficient personal assistant that can help you find anything in the digital world. With voice assistants like Siri, Google, and Alexa, everything from scheduling on our calendars, navigation, lights, music, and information has become automated around us. It helps save time and effort as opposed to being done manually.

From all of the above testimonials and features, there are still speculations about AI technology having the power to replace humans. However, creation can never replace or overpower the creator. The technology works based on its programming and attained data. It has sustained a more balanced and smoother life unless exploited for personal gains by the corporate industry.

To answer the question, ‘Is AI technology your friend?’ YES! AI technology has supported us in various forms in our daily lives to make it easier and nothing less. With its extended features and growing power, AI technology has developed an intellectual and intelligent platform for significant deployments like finance, healthcare, national organizations, transportation, etc. It helps with generating a substantial economy and livelihood for its users. It has resolved major complications, issues, and implications impossible for humans. It is, without a doubt, an influential and one of the most used human innovations.

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Ten Retailers That Used QR Codes for In-Store Payments in 2021

posted on January 23, 2022


In today’s age, everyone knows about QR code payments. We are all well aware of the emblematic black and white square design of a QR code. Growing smartphone penetration and high-speed internet access have led to the widespread adoption of QR codes. Hence, today we see it pretty much everywhere, whether it’s shopping, movies, advertising, and so on.

QR codes are widely used in China, Asian countries, the United States, UK, Saudi Arabia, Australia, and Canada. The widespread use of the QR code in sectors like marketing, education, payments, and healthcare has made it an in-demand technology. The retail sector is no exception. Retailers use QR codes in several ways.

Here’s a list of the top ten retailers that used QR Codes for in-Store payments in 2021.

1. Walmart

Walmart, United States’ largest retailer, was an early adopter of self-checkout technology. The company launched Walmart Pay in 2015. This functionality enabled customers to make payments by scanning a QR Code. Users linked their primary credit or debit cards to their Walmart mobile payment application.

Scanning a QR code charged the amount invoiced to the card associated with the application. It saved users and Walmart the surcharge charged by credit card companies and Apple Pay.

In addition, for the thrifty shopper, Walmart also prints QR codes on receipts that correspond to your purchases from other local retailers.

This creates a cashback-like balance that can be redeemed on Walmart at a later date. The QR code payment option is also part of Walmart’s broad omni-channel strategy by connecting to its Capital One WalmartRewards Card to save 5% on purchases.

2. Target

Target also announced the introduction of a QR Code payment system in its stores in 2015. In 2021, the Target app combined Wallet-like features with contactless shopping, pickup, and promotions to bring all digital and physical experiences under one roof. With the help of Target pay, consumers can make payments for products by simply scanning the target QR code.

3. Dollar General

Dollar General is a fast growing brick-and-mortar retailer with several expansions planned in the near future. A part of the planned expansion includes a new scanning and departure system. This system allows clients to scan objects with their smartphones through the Dollar General app. At checkout, shoppers can simply pay by scanning a QR code.

4. Amazon Go

Amazon launched an Amazon Go retail store in 2016, using “state-of-the-art shopping technology”. The store is built around what Amazon calls an out-of-the-box technology. The cutting-edge technology enables users to walk into the store, pick the items they need and simply exit. The in-store sensors do the heavy major work of tracking items in the cart at checkout.

When entering a store, users have to scan a QR Code using the Amazon Go mobile money payment solution on their smartphone at check-in. The purchase price is deducted directly from a user’s Amazon account.

5. Starbucks

The coffee giant is utilizing QR codes for payment but with a major difference from other companies. Consumers pay with Starbucks cards which later reward them with free drinks. In 2018 the Starbucks app accounted for 12% of the retailer’s US transactions. Within a span of 2 years, Starbucks mobile orders boomed to 25% of all sales.

To execute and deliver the best in class customer experience and aid employees by streamlining the beverage-making process Starbucks has shown confidence that its mobile ordering is the way to go.

6. Best Buy

Best Buy is another retailer that has introduced QR code payments. Best Buy provides customers with special credit card benefits while making the whole process simple. Carrying a credit card is unnecessary. Customers simply need to show their app to a store employee while paying through the single scan process.

7. 7-Eleven

The international chain of convenience stores of Japanese and American joint ventures has also integrated a mobile check-out system. The 7-Eleven app employs a QR code system that allows customers to quickly scan products and then pay for them using a digital wallet at a “confirmation station,” as 7-Eleven refers to it.

8. Zara

Zara has even introduced QR codes in storefront windows to promote and advertise its brand to passersbys! People enjoy strolling through malls, and adding a QR Code to your store window could completely transform the concept of window shopping by allowing customers to scan your store’s sale items!

9. Big Bazar

One of India’s largest grocery, electronic, and fashion stores has also been influenced by the top digital payment trends using QR code technology. UsingBig Bazar’s app, customers can scan codes and place their online orders. One very unique feature offered by the Big Bazar app allows customers to redeem their wallet balance directly during checkout by QR code scan.

10. Paytm Mall

Paytm’s e-marketplace, Paytm mall, has also deployed a new functionality that enables customers to place online orders in physical stores using QR codes. Customers can visit the nearest Paytm partner store and scan QR codes using the Paytm app to browse and order products. This feature has helped retailers to sell products online without having to worry about inventory management and delivery of the product.

Wrapping Up

QR Code Payments provide ease, safety, and hygiene benefits to millions of consumers. By adopting QR code-based payments, retailers across the country are pushing for scan-to-pay adoption as a familiar and accessible payment method for shoppers.

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Technology Decisions to Build Your Modern Applications

posted on January 23, 2022


How to choose the right tech stack? What are some best practices in architecting your modern applications? Is hiring for technical talent a challenge? In this panel discussion, listen to founders and tech leaders on how they make such decisions at their companies. To learn more about DigitalOcean: Follow us on Twitter: Like […]

Cisco DNA Software Subscription Animated Explainer Video

posted on January 19, 2022


Cisco Networking, powered by Cisco DNA Software subscriptions, allows you to enjoy continuous access to Cisco’s latest innovations, enhanced agility, and OpEx predictability. Learn more at Duration: 00:02:05 Publisher: Cisco You can watch this video also at the source.

Latest and Greatest IoT Trends

posted on January 14, 2022


The future of the Internet of Things is not just limited to households, IoT development has moved from pilot to production stage to drive significant business value and bring digital transformation into reality. Today, organizations are employing intelligent products and solutions to boost business efficiency, create better customer experiences, enable customization, and deliver on digital transformation like never before.

In fact, Vodafone’s Spotlight Research states that IoT has played an instrumental role in business resilience during the COVID-19 crises. The great majority of businesses (approx. 84%) said this technology had ensured business continuity in uncertain times.

This echoes that IoT is a powerful element that businesses not only need today but also in the future to respond to changing market needs and use IoT data collection to make informed business decisions.

So, What Is the Internet of Things?

The Internet of Things is the network of various internet-connected devices or “things” that have built in sensors, electronics, or other technology for connecting and exchanging data with other devices over the Internet. These devices range from household objects to enterprise assets, agriculture tools to manufacturing equipment, and the list goes on.

It is worth noting that the number of IoT devices is expected to reach 22 billion by 2025, up from 10 billion in 2020.

The statistics clearly show that IoT is going to become a key driver in business and customer experience strategies. The combination of sensors, communication devices, analytics, cloud and low-cost computing is going to create a mesh of interconnected solutions and products that is building a new age of automation for businesses.

How Are Businesses Adopting IoT?

As IoT development continues to evolve, businesses, whether small or large, will find new horizons to embed tech, ramp up productivity, and increase efficiency. In fact, many businesses or enterprises have started to step into the digital world with IoT. For example, General Tools, a company specialized in manufacturing a full line of precision instruments, electronics, and measurement tools, has leveraged IoT to build a ToolSmart application. This mobile app finishes customer projects with precision on time & within budget. The app enabled Bluetooth connected tools capture data and update customers about the project completion time as well as cost on the fly. This is bringing about a revolution regarding the determination of the scope of jobs.

Other industry areas adopting IoT include:

  • Banks are leveraging IoT technology to bring on-demand services closer to customers through kiosks, resulting in increased accessibility of services.
  • Agriculture machinery companies are applying IoT to keep track on important agricultural parameters like moisture levels, air, and soil temperature, and convey the collected data to farmers. Utilizing such tools helps farmers to do precision farming which greatly increases the efficiency of fertilizers and produces good yield.
  • The medical sector is also employing IoT based wearable devices to gather data, monitor their patients’ health, and make their lives safer.

Microsoft’s annual IoT Signals report states that 94% of companies that have adopted IoT technology have started getting a return on their investments.

No doubt that IoT is providing businesses with opportunities to achieve operational efficiency, improve customer experience, and build new revenue streams.

Latest and Greatest IoT Trends

Building end-to-end systems and a smart range of products is critical in this digital era. While there are a great number of ways for businesses to include IoT devices in their business model, there are five specific trends that are particularly appealing to a majority of companies, regardless of their industry.

Asset Tracking and Inventory Management

For businesses that face problems in inventory tracking and management, applying IoT is a real game-changer. IoT applications allow companies with warehouses and storage units to monitor and track inventory by means of some automatic control points operated by smart devices. This helps companies reduce manpower that is excessively engaged in inventory-related matter. In a similar manner, asset tracking – when done with IoT – can help businesses catch faulty assets or assets that went missing during transportation.

In addition, combining IoT products with analytics can prevent theft scenarios. For example, Amazon is using Wi-Fi Robots that scan QR codes on its wide range of products and track orders, leading to an uptick in shipping capacity.

Data Sharing

The Forbes Insights Survey finds that business areas that have seen new avenues of growth include predictive maintenance, automatic product upgrades, and asset tracking. A suite of sensors located in production systems, assembly lines, storage units, and vehicles produces data streams that help businesses understand the patterns in which a user connects with the device. As massive amounts of data keep flowing in from data points, sensors, IoT applications, this real-time information helps companies get insight into productivity and performance standpoints. Thus, it is learning from data and its patterns which in turn helps organizations to innovate and grow.

For example, Fitbits and smart watches communicate data through sensors and provide us with the most precise information based on our needs.

Market Strategizing

As organizations are learning from a large amount of data, they can ultimately build marketing strategies on the basis of processed data to meet customer requirements. Through internet-connected devices, organizations can obtain a multi-dimensional view of customers’ preferences. After learning the preferences, they can build campaigns and customer experiences that yield results. On top of that, IoT based applications can segment customers based on data to generate customized offers to uplift customer satisfaction rate, and enhance customer experience.

For example, a company known as Big Ass Fans has built IoT based fans comprising light, speed and temperature sensors. By learning about the customer preferences, the company sets its fans’ speed and stands out from other ceiling fan brands on the market.

Harnessing Real-Time Insights

In the information age, businesses work on data. The more data they have, the better the insights that can be gleaned, the more informed decisions businesses can make. With IoT devices, they can obtain real-time data, which in turn helps them gain visibility into what’s happening inside. For example, retailers can obtain insight about customer behaviors and their choices and can replace inventory or stock to maximize product turnover with efficient sales monitoring in place. Also, IoT can work in sync with systems and smart cameras to prevent defects and quickly respond to the issues. For example, some airports are employing smart cameras with sensors to address issues like broken escalators, unhygienic washrooms and bottlenecks within corridors.

Improved Efficiency and Productivity

Enterprises are always on the lookout to achieve greater efficiency, flexibility, and productivity. The proliferation of IoT devices across various parts of the organization means digitization of process flows, which further helps reduce costs and decrease time to market. Efficiency can be realized as data flows in from sensors, is processed and then further changes are deployed without human involvement. For instance, vehicles are redirected to the most optimal route to make travel faster. Drones may be deployed over an oil field to monitor the pipelines and identify issues way before humans reach them.

The Future Is Smart for Businesses

For businesses, IoT is a future-proof technology that brings more opportunities to businesses in terms of optimizing their operations and increasing profits. By bringing data, intelligence, and customer experience together, it is driving digital transformation at scale for many businesses.

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What Is 5G: Top 5 Facts You Need to Know in 2022

posted on January 12, 2022


So much of our lives nowadays happen online, be it via social media, online shopping, or simply browsing for information. Very soon, all that is going to get a lot better thanks to the changes in wireless technology. Many well-known carriers have announced that they will be launching 5G. This generation of mobile networks is on the way to becoming the new global standard.

What does this mean for the consumer? In a nutshell, all your web-connected devices will become lightning-fast, you will be able to enjoy super low latencies when gaming, and there will be an increased availability. The high-performance capabilities are so superior to what 4G provided, it will empower users to enjoy wholly new experiences. It could even be the jumping board for entirely new industries. Let’s take a look at the benefits of 5G networks, and how the technology works.

What is 5G?

5G network technology is a wireless cellular service with the ability to transmit data at incredibly high speeds. 5G stands for 5th generation. That means it is not an entirely new technology built from the ground up but rather a new iteration of what 4G was. 5G network speeds will be multigigabit. Estimates of the highest peak potentials of the technology come in at around 20Gbps.

It will also enable people to enjoy a wireless network latency of an astounding 1ms or lower. That implies you will be able to use real-time graphics-intensive applications over the web with no lag issues whatsoever. It will be a game-changer for cloud-based computing and gaming in particular. Not only are 5G speeds incredible, but the amounts of data that can be transmitted wirelessly will also expand thanks to the new antennas in operation. These 5G network advantages combined will open up the possibility of generating various new applications that will improve VR and AI, enable advanced manufacturing automation, and help self-driving cars become safer.

How does 5G Network Coverage Work?

Wireless network coverage works by using cell sites divided into sectors, which send out data utilizing radio waves. 4G technology provides the necessary foundation for 5G technology. However, 4G requires big and high-powered towers to send signals successfully over long distances. 5G mobile networks work differently – they use many small cell stations that are much higher in density. Such a method is necessary, as 5G technology uses the spectrum band ranging from 30 to 300 GHz. These signals can only travel short distances, and they are susceptible to interference from physical objects, as well as weather conditions. Depending on the carrier, lower frequency bands may also get used in order to avail of the previously established networks. Employing low frequency 5G has the advantage of traveling long distances, yet it compromises the speed capabilities.

When it comes to data security, 5G networks are a cause for concern in some circles. The vast data speed capabilities enable malicious parties to use it for their purposes, so it is vital to think of adequate data protection once you join 5G.

Five Tops Facts about 5G Technology

1. By the year 2024, around 1.5 billion people will have access to 5G.

2. China is the leader in 5G tech when it comes to investing. It holds 49.4% of the worldwide investments made in 2020.

3. According to experts, 5G will not just be a speed boost, but it will also fuel a technological revolution for augmented and virtual reality.

4. Predictions estimate that the investments in 5G will surpass 4G/LTE by 2022.

5. Reports say that 5G networks will account for 35% of all mobile traffic by 2024.


All in all, with 5G, we will all have the ability to enjoy a new era of web connectivity in the coming years. There will be a seamless integration of smart devices, virtual and augmented reality applications, gaming, and a whole lot more. It is truly an exciting time to be alive as we can’t yet fully grasp the potentials that 5G network speeds will open up to developers and manufacturers.

For the end-user, 5G will mean a big step up in terms of life quality as it relates to entertainment, efficiency, and smart device integration.

What about the 5G network features excites you the most? Have you had a chance to try 5G in your area? If so, how was it? We would love to hear your opinions on the topic, so please leave your comments in the section below!

The post What Is 5G: Top 5 Facts You Need to Know in 2022 appeared first on SiteProNews.

How to Use AirDrop on iPhone and iPad? A Step-By-Step Guide

posted on January 10, 2022


It is now easier than ever to share files and photos between devices. AirDrop allows you to send files from an iPhone to a Mac or iPad with a single tap, as long as they are within range. Now, what is this range? AirDrop transmits files using a combination of Bluetooth and Wi-Fi, so your iPhone, iPad, or Mac must be within 30 feet of each other.

How to Turn On AirDrop on iPhone and iPad?

Turning on AirDrop on your iPhone or iPad is incredibly easy. Follow the below steps to accomplish your objective in a go:

  1. Go to your iPhone settings
  2. Tap “General.”
  3. Choose “AirDrop” on the general page.
  4. Now, choose who can see you by tapping “Contacts Only” or “Everyone.”

You’re done! Limiting AirDrop to your contacts is a safety approach, but selecting “everyone” is convenient if you frequently receive files from different individuals.

How Can You Use AirDrop?

Similar to Bluetooth, iPhone users use AirDrop to share and receive files with other nearby Apple devices.

Before you begin:

  • Check that the person to whom you’re sending is nearby and within Bluetooth and Wi-Fi range.
  • Check that you and the person you are sending to have turned on Wi-Fi and Bluetooth. Turn off Personal Hotspot if either of you has it enabled.
  • Check to see if the person you’re sending to has AirDrop set to receive only from contacts. If they do, and you’re in their Contacts, they must have your Apple ID’s email ID or mobile number in their contact card for AirDrop to work.
  • If you are not in their Contacts, request that they change their AirDrop receiving setting to “Everyone” to receive the file.

How to use AirDrop (On your iPhone11 and later)

  • To share an app, open it and then hit Share or the Share icon. You can swipe left or right to select several photographs when sharing a photo from the Photos app.
  • Select the AirDrop option.
  • If the person with whom you wish to share an iPhone 11 or 12 model also owns an iPhone, aim your iPhone in the direction of the other iPhone.
  • At the top of the screen, tap the user’s profile image. Alternatively, you can utilize AirDrop to transfer files between your own Apple devices. If the AirDrop button has a red numbered badge, there are several devices nearby that you can share with. Tap the AirDrop button, followed by the user with whom you wish to share. Learn what to do if the AirDrop user or your other device is not visible.

If the person you’re exchanging material with is a contact, you’ll see an image beside their name. However, if they are not in your contacts, you will only see their name and no image. For more information regarding this aspect, connect with experts offering global assignment helpservices. With their suggestions, things will get easier for you.

On your iPhone XS or earlier and iPad

  • Open an app, then select Share or the Share button from the menu bar. When you share a photo from the Photos app, you can choose multiple photos by swiping left or right on the screen.
  • To use AirDrop, press the AirDrop button.
  • Select the AirDrop user with whom you want to share the file. Alternatively, you can utilize AirDrop to transfer files between your own Apple devices.
  • Seeing a red numbered badge on the AirDrop button indicates that there are several devices nearby with which you can share your files. First, tap the AirDrop button, then tap the person’s name to whom you wish to send the file.

Whether or not the person with whom you’re sharing material is already in your Contacts, you’ll see a picture next to their name. If they are not in your Contacts, you will only see their name and not an image for them.

How to Accept AirDrop?

When someone uses AirDrop to share anything with you, you will receive an alert with a preview of the item. You have the option of selecting Accept or Decline.

If you accept the AirDrop, the message will be delivered within the same app from which it was sent. For example, images are displayed in the Photos app and webpages are opened on the Safari web browser. In addition, app links open in the App Store, allowing you to download or purchase the app directly from the link.

If you AirDrop something to yourself, such as a photo from your iPhone to your Mac, you won’t be presented with an Accept or Decline button; instead, the item will be delivered to your device immediately. Ensure that both devices are signed in with the same Apple ID on both computers.

How to Adjust AirDrop Settings?

To control who has access to your device and can send you content using AirDrop, follow these steps:

  • Select General from the Settings menu.
  • Tap AirDrop, then select an option from the drop-down menu.

The control center also gives you the scope to set your AirDrop option.


Like any technology, AirDrop may malfunction at times. If you face such a situation, you need to check the following aspects:

  • Is your Mac/iPhone/iPad compatible with AirDrop? It must run Mac OS X Yosemite or a later version.
  • Ascertain that both your iPad and iPhone have Bluetooth and Wi-Fi.
  • It’s likely that the devices are too close, particularly if the Mac is not visible in the iPhone’s AirDrop list. So close the distance between the two devices.
  • Ensure that the iPhone is not using a personal hotspot to connect to the internet. Open Settings and ascertain that Personal Hotspot is disabled.

Wrapping Up

Now that you have understood the intricacies associated with using AirDrop on iPhone, it is expected that you can easily implement the above steps in real-life circumstances.

The post How to Use AirDrop on iPhone and iPad? A Step-By-Step Guide appeared first on SiteProNews.

The Rise of Artificial Intelligence in Healthcare

posted on January 10, 2022


For decades now, new advancements in technology have impacted the way people live, work and play. With machine learning impacting almost every aspect of modern life, it was only a matter of time before it was implemented in clinical settings.

While the thought of robots leading surgeries or app centered data keeping and treatment plans may send shudders through some, these advancements are for the better. In fact, automating processes in the healthcare industry will positively affect patients and workers.

The Rise of AI in Healthcare

Technological advancements won’t replace healing professionals, instead these measures will act as support mechanisms. All of which results in a safer and more complete experience for a patient.

With evidence indicating that artificial intelligence (AI) performs on par, or better than humans, it’s no surprise that it is being used in many clinical settings. From intelligent personal health records to deep learning to diagnosing diseases, the possibilities are limitless.

Described as the ability of a machine to learn the way a human learns, thinking networks in this sector impact everything from how information gets collected, analysed and developed to how a patient is treated. A reinvention and reinvigoration of modern healthcare.

As the demand for healthcare services continues to rise, new approaches need to be considered and adopted. By utilising the help of smart networks, physical and mental care changes from a largely reactive business to a proactive one.

These developments didn’t just happen overnight. For decades now, new opportunities within the data science realm have been researched. So, any new intelligence developments are the result of increased computer processing speed and larger data collection libraries.

Why Is Implementing AI in Healthcare Important?

Health industry spending is simply not keeping up with demand. This means that without structural and transformation changes, the system will struggle to remain sustainable. In an overworked, understaffed and backward system, sick people suffer. They are either afforded sub-optimal care or are unable to access even the most basic of care.

As these thinking networks can lead to better care outcomes, all the while improving productivity and efficiency of care, its widespread implementation has never been more important. Working to, among other things, minimise time spent on routine or administrative tasks, technology gives doctors the freedom to do the thing they are best at- care for others.

Utilising the reasoning process and performative tasks of humans, a computerised thinking system essentially rids the medical industry of perceived barriers. With clinical operations, drug development, surgery and information management computerised, costs go down and most importantly resource- time is maximised.

Real Time Examples

In many clinical settings across the globe, automated thinking systems are being utilised. While once thought of as futuristic, smart elements like robotics are present in hospitals around the world and not just in sci-fi movies, highlighting how important innovations are to real life.

Intelligent and Accurate Diagnostic Apps

Smart structures with advanced machine learning support are what is known as intelligent apps. Accessing details, advanced techniques and featuring greater processing power, these intelligent apps allow for deep learning. This helps the app differentiate between relevant and irrelevant information, helping to identify symptoms and quickly diagnose illness.

AI Robot-assisted Surgery

Today, robots are used to assist with everything from minimally invasive procedures to open heart surgery. Equipped with cameras, mechanical arms and surgical instruments, robots help surgeons perform precise procedures. Offering a 3D magnified view of the surgical site, robotics help doctors see things not perceptible to the naked eye.

Dispensing Precision Medication

The term precision medication refers to dispensing the correct treatment depending on a patient’s characteristics and behaviours. Precision medication is able to be performed thanks to expert powered fact systems that store and organise a large amount of statistics in order to draw meaningful conclusions and predictions.

Transforming Radiology

Machine learning is transforming radiology with the help of a deep-learning algorithm that can reliably diagnose neurological diseases. The AI program scans patient results and compares them with tens of thousands of images to identify potential lesions and any other abnormal regions in the brain.

The Future of Medicine – Embracing AI

The rise of leading edge technologies in the medical sector has been a long time coming. With more patients needing access to these services than ever before, doctors and nurses need help.

In order to make the most of dwindling resources, implementing artificial intelligence into everyday practices is not only a reasonable decision, but also a beneficial one. In fact, embracing tech in this profession will make the work of medical professionals easier.

By helping a doctor focus on well-being management rather than disease treatment, these leading edge techniques will work to ensure earlier diagnosis, tailored treatments and more efficient follow ups. As a result, individuals will be able to enjoy better than ever health.

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Which is the Best App for Photo Background Changes?

posted on January 5, 2022


Finding the right background remover app can be a game-changer for you. You don’t have to be a Photoshop expert to remove or change image backgrounds. All you have to do is find the best background remover app that provides superb cutouts every time.

However, since numerous options are available in the market, it can be tough to make the right decision. From technology to features and pricing, there’s a lot to consider. But don’t worry – we have compiled a list of the top three best background removal apps in the market for you.

Best Background Remover Apps

Whether you’re taking product shots or require a fun social media profile picture on a solid background, you’ll need the same background remover apps. But that doesn’t mean that all background editors are designed the same way. 

While you will find an abundance of free background remover apps online, only a few of these are capable of producing professional-level results. Here is a list of the top three apps to remove backgrounds from photos.

1. Slazzer

Unlike most background removers available in the market, Slazzer relies on Artificial Intelligence (AI) to differentiate between foreground and background. The patented vision algorithms ensure high-quality cutouts for even the most complex details. In fact, it is one of the leading reasons why Slazzer is dubbed the best app to remove backgrounds from photos.      

Slazzer also comes with some excellent features that are hard to find in other background changers. For instance, while apps let you change the background of an image, most won’t let you leave the subject on a translucent background. Fortunately, Slazzer allows you to save PNG files with a transparent background. This seemingly small feature can come in handy when making visual content.  

Slazzer also makes it possible to upload a new photo as a background or choose a solid color. It also comes with a number of built-in background templates that you can use to create creative backgrounds within seconds. This app can help improve the digital efficiency and image background optimization speed by supporting you with bulk background removal. You can download this free background remover app for desktop or integrate Slazzer API or plugins with some of the most popular eCommerce sites, design applications, and computing environments. 

Now let’s take a look at pricing. Slazzer is free background remover app option for personal users or individuals who wish to use basic functions. However, if you want to optimize HD quality background, it is best to opt for a subscription or top-up plan. The best pricing plan for you depends on your use case.

Slazzer’s Top-Up plans may be the ideal option if you want to do a one-time task with no commitment. These credits also have a two-year expiration date, which is great. But if you have recurring needs, then Slazzer’s subscription plans may be the most cost-effective, starting at just 100 credits each month.

2. InPixio

With InPixio Remove Background, you can easily select any section of your photo and remove it without spending a dime. There is no need to install any software on your computer because this utility is available online. InPixio has a user interface that is simple to use and navigate.

However, keep in mind that InPixio does not allow for automatic background selection. After you upload the image, you will have to use the red brush to choose the undesirable portions. The good news is that the tool can be resized to make it more useful. Moreover, you don’t need to be precise with the brush.

While you can use the app online, a desktop version is also available. The free version is suitable for basic background removals. However, for advanced options and best quality, you may want to invest in InPixio photo software, Photo Studio Pro, which includes a full-featured version of Photo Editor.

It will give you additional editing possibilities, such as stickers and text, one-click image correction, tilt-shift, blurring options, and more.

3. Canva Pro

Canva is a solid performer for editing the background from photographs and taking care of most graphic design duties. No wonder the tool is quickly becoming one of the top choices for expert designers and professionals. It is important to mention that while background removal is one of the best features of Canva Pro, the app has a lot more to offer.

It allows designers to centralize their content and collaborate more effectively. It further provides templates, photos, and design templates that teams can utilize to produce on-brand graphics. So, while the background removal tool is one of its nicest features, Canva Pro is more suitable for teams who require a complete set of designing and branding tools.

On the other hand, if you are simply looking to remove image backgrounds, it is best to stick to apps designed exclusively for this purpose.

Most people use Canva’s free version, but the Pro version adds a slew of extra photo editing features, like the ability to modify the backdrop or completely delete background elements. However, keep in mind that you will be charged an extra fee for each team member you add to your Canva Pro account.

The Verdict’s In – Slazzer is Our Top Pick!

Image courtesy of Pexels

Considering the advanced technology, unique features and quality, exceptional tools and API, and cost-effective pricing solutions, Slazzer is easily the best background remover app in the market.

Whether you use it online, download it on your phone or desktop, or integrate it into another platform, you can expect excellent results every time. Visit Slazzer to learn more about our top pick and start editing your image backgrounds right away. 

The post Which is the Best App for Photo Background Changes? appeared first on SiteProNews.

Technologies Helping Singles to Avoid Loneliness

posted on December 22, 2021


Human interactions aren’t just for passing the time; they also contribute to your physical and mental well-being. Past research explains why loneliness causes depression, cognitive decline, and poor sleep quality, and cardiovascular dysfunction. One reason why loneliness is so painful is that you don’t have to be alone to feel it. Loneliness involves detaching from a place or people, even among friends and family. If you’re wondering what to do to avoid loneliness,the answer lies in embracing technology. The absence of active singles in your area isn’t an excuse to wallow in loneliness. Here’s how to avoid loneliness through technology.

1. Dating Sites

Free dating sites are no longer limited to hookups. Growing internet coverage and busy work schedules are taking the stigma out of finding love online. More people have embraced internet dating in the recent past to make it a multi-million-dollar industry. According to past statistics, America’s internet dating revenue was $602 million in 2020 and is expected to hit $755 million by 2024. A separate study suggests that couples who meet online want to have families more than offline couples. Internet dating presents numerous benefits.

First off, it’s easy to start. All you need to do is choose a dating platform, create a profile, and meet new people. Additionally, dating sites increase the possibility of meeting your match. Unlike offline encounters where you can approach anyone, dating sites use your profile information to match you to a suitable partner. Dating sites are also a convenient way of avoiding loneliness.You can talk to a potential suitor as long as you wish before meeting them in person. Online dating presents a large pool of suitors, allowing you to be as picky as you wish.

Image courtesy of Unsplash

2. Avoiding Loneliness with Artificial Intelligence

Gone are the days when users would scroll endlessly through dating profiles to cure their loneliness. Artificial intelligence uses more than just shared interests to match individuals. For example, AI may use your matches’ common facial features to recommend partners and end your loneliness. Moreover, artificial intelligence can scan your profile picture for objects that might reveal your interests. Assuming your photo has a guitar, AI can match you to other music enthusiasts on the app seeking to end their loneliness. AI also prevents fraud by detecting suspicious activity. For instance, AI may flag profiles soliciting money from other users in exchange for love.

Artificial intelligence can also identify fake profiles based on messages, fake images, and IP addresses. Likewise, AI ensures members use dating apps for the intended purpose by filtering out pornography and political content. This goes hand in hand with correcting spelling mistakes. It’s not uncommon for users to ignore texts containing bad grammar. Again, artificial intelligence cures loneliness by encouraging offline meetings after a certain period of online interactions. AI also offers first-date ideas depending on users’ personalities and interests.

3. Chatbots

Initially meant for customer service, chatbots are now providing singles with comfort when loneliness hurts.With weakening social interactions, it’s understandable why loneliness hurts people so much that they seek intimacy from digital systems. Unlike human companions who come and go, chatbots are always available during moments of loneliness. There’s no limit to when and where you can vent to chatbots.

Computer specialists have also programmed bots to flirt on their behalf on dating platforms owing to the process’ time-consuming nature. This is according to a past Mashable story. Data expert Jeffrey Li created an algorithm that accessed his Tinder account and swiped on 100 women daily. Li would then start talking to these women after the bot landed a match. Programmer Robert Winters took this bot a step further by giving it the ability to hold basic conversations. Though Tinder eventually banned Winters from the site, the bot was part of 200 conversations at one point.

4. Virtual Reality

Virtual reality promises remote social connections that are more immersive than other communication channels. Unlike dating sites where you can lie about your appearance, VR dating cures loneliness by engaging multiple senses. In addition to seeing and hearing, this technology allows you to feel your partner through epidermal VR. Long-distance relationships are easier because you know your partner’s real-time behavior.

VR also eliminates the anxiety of meeting people in person. A past study suggests that virtual dates tell more about an individual’s personality than online dating platforms. You can also choose virtual date locations. For instance, you can stroll through your dream city or go to outer space. If you love adrenaline, you can recreate the feeling of crossing a shaky bridge or jumping off a plane.

Image courtesy of Unsplash


Technology cannot cure all your loneliness. However, you can use it to avoid loneliness when circumstances prevent you from meeting people directly. How much loneliness can a person take? Tell us how to avoid loneliness using technology in the comments.

The post Technologies Helping Singles to Avoid Loneliness appeared first on SiteProNews.

Top 6 CRM Software for Small Businesses

posted on December 20, 2021


Running a small business is not an easy job. The growth of a small business is one of the most common challenges that almost every entrepreneur faces. The growth of any business, irrespective of its size and kind, means more customers, more revenues, and a minimum turnover of employees.

With the invention of the latest technological gadgets and software, Customer Relationship Management software, often referred to as CRM software, has become of great value to small businesses. As the name indicates, this software is used to build and maintain long-lasting relations with existing and potential clients.

Why Do Small Businesses Need CRM Software?

Just like an established business, there is so much going on within a small business. CRM software can be beneficial for small business owners in many ways.

  • CRM software allows business owners to organize their contacts. As the business grows, its customers base also expands. This means that business owners need different software to organize their contacts. Organizing contacts helps to run sales and other processes smoothly.
  • CRM software is used to keep track of business sales by giving an overview of different sale metrics, including calls made to customers and booked deals. It allows easy communication with customers and potential buyers.
  • CRM software is also used for customers segmentation. CRM software has all the data about potential clients of the SME, and it can be used by digital marketers and sales teams to do customer segmentation easily. The tool divides business customers into multiple groups based on deal size, location, and other factors.

Top CRM Software for Small Businesses (SMBs)

If you are a small business owner and looking for CRM software to grow your business, the following list of the top six CRM packages are specifically designed for SMBs:

1. Hubspot

Most small business owners recommend Hubspot for organizing and maintaining contacts and looking into sales. It comes in a completely free version and is considered the best tool for maintaining the contacts of small businesses.


  • It helps the owner and management keep track of business activities.
  • It organizes business contacts.
  • It keeps a record of, and tracks. business deals.
  • Data is managed in a detailed dashboard that is visible and that can be accessed by all team members.
  • Besides using the CRM tool to maintain the contacts of your business, it also increases inbound sales as it is integrated with some of the famous shopping apps, including Salesforce, Microsoft Dynamics, and Shopify.
  • Pricing: Free, or upgrade to a paid version (starting at 41 EUR / month).

2. SalesForce

Next on the list of the best CRM tools for small businesses is SalesForce. Did you know that SalesForce is one of the appreciated and most used CRM software among small businesses management?


  • It allows management to keep track of the business’s valuable customers by noting down successful deals.
  • The software offers a basic edition,”lightening essentials.”
  • Lighting essentials helps small business owners to grow and reach their potential clients by providing an advance contact manager. It includes email configuration, customization, and follow-up reminders.
  • Pricing: Lightning Essentials package ($25/month/user), Lightning Professional ($75/month/user), and more.

3. Zoho

Zoho is one of the most loved CRM software, and small business management appreciates every feature.


It is said that Zoho is more than customer management software. It is also includes:

  • A sales and marketing feature to increase inbound sales. it is built with:
    • Lead scoring
    • Website visitor tracking and
    • Sales signals

However, to upgrading features, businesses have to invest in the upgraded-professional edition of Zoho.

  • Pricing: Free version, Standard ($12/month), Professional ($20/month), Enterprise ($35/month), and more.

4. The Real Estate CRM

Another addition to the list which is easy to use and needs no special training is The Real Estate CRM.


  • The interface of the software is divided into five sections: dashboard, people and organizations, sales pipeline, calendars, and tasks.
  • The Real Estate CRM is not only used to keep track of valuable real estate business clients and maintain a healthy, yet long-term relationship with them but can also keep track of business sales.
  • Another important feature that makes this CRM software loved by everyone is that it can be installed on both PCs and smartphones. Smartphone installation allows small business owners to contacts clients easily.
  • Pricing: contact the company for pricing.

5. Converge Hub

ConvergeHub is cloud-based CRM software specially designed to cater to the needs of small businesses.


  • With this CRM software, small business owners and management can store and keep a record of contact lists. By keeping a record of the business sales, Converge Hub also lets management know which client is the most valuable for the business.
  • The tool is used to arrange campaigns and manage other sales activities.
  • ConvergeHub is featured with built-in SalesForce automation and marketing automation modules too. It can be coordinated with shopping platforms to increase business sales.
  • Pricing: Starts from $9/user/month (Starter package) up to $59/user/month (Premium package).

6. Microsoft Dynamics 360

Microsoft Dynamics 365 is software can be used for maintaining business contacts along with sales and marketing.

It is not that simple to use, especially for first-time users, but the excellent features are worth investing some time in learning.


  • This software can be tied to LinkedIn to reach more potential clients and maintain valuable relationships with them.
  • Pricing: € 42.20/user/month.

Now You Can Choose Software to run your Business Smoothly

Running a small business and maintaining business contacts is not an easy thing to do. If you are a small business owner and looking for reliable CRM software, the aforementioned CRM software will make the decision-making process easier for you.

The post Top 6 CRM Software for Small Businesses appeared first on SiteProNews.

Top IoT Market Demands – Internet of Things Forecasts 2022

posted on December 12, 2021


The Internet of Things (IoT) is a hot topic of conversation among those in the tech and manufacturing industries. The Internet of Things (IoT) is a hyped-up futuristic technology known for its social and technological miracles. The most recent IoT trends show that this technology has altered a number of industries.

IoT and its smart sensors have already cleared the way for automation improvements in a variety of industries, as well as increased cloud usage and the development of 5G. This article discusses some of the most important IoT developments and predictions for the year 2022.

The Internet of Things is evolving at a breakneck speed. Even the most knowledgeable specialists find it difficult to forecast the future of IoT standardisation due to the rapid advancement of the technology. According to the McKinsey Global Institute, by 2025, the Internet of Things could produce up to $11.1 trillion in economic value in a variety of contexts, including industries, cities, retail environments, and the human body.

The Internet of Things is optimizing operations for both not only individuals but businesses and enterprises. Yet, there remains a lot of opportunity for connected devices in the many different verticals of the market. Hence, deploying IoT on any scale for any business domain requires the expertise of a leading software development company including custom software development to continue to leverage new streams of revenues.

In case you are looking to scale up your business, here are some top IoT trends and predictions to watch out for 2022.

Advanced Security

A heightened focus on security will be seen in the IoT sector. IoT network hacking is expected to become a routine occurrence by 2022, according to experts. Intruders will be prevented from causing any harm by network operators acting as cybersecurity personnel. Companies like Sierra, Wireless, and others who have been cyber-attacked in the past have implemented IoT-driven cyber technologies as a result of the recent increase in intrusions. Ericsson, Microsoft, and U-Blox, for example, have developed their own threat detection and security service technologies.

Analytics, ML & Disruptive Technologies

Applications in IoT networks are detected using IoT analytics and data. While transmitting large amounts of data to the network cores, these systems generate alarms. Providers and business leaders are increasingly incorporating integrated analytics into their products in order to speed up data analysis. These technologies facilitate the adoption and optimization of IoT devices, processes, applications, and infrastructure, resulting in enhanced performance as networks operate in a low-latency environment.

IoT Transforming Business Models

There are several proofs, studies, and instances of effective IoT deployment in business models that have improved the company’s performance by raising output and improving other business KPIs and objectives. Manufacturers are converting their entire business models into more inventive and productive ones with the help of automation.

AR and VR with IoT

With IoT, virtual and augmented reality may connect the physical and digital worlds. It opens up the possibility of using IoT data in AR and VR technology. The use of IoT in various technologies has several economic benefits, including lower costs and new and greater earnings and opportunities. Combining these technologies could help organisations teach staff about virtual prototypes of items, different types of equipment, and different business growth tactics.

Adoption of IoT in Healthcare

For years, the healthcare industry has been experimenting with Internet of Things (IoT) technology. This sector is at the forefront of IoT adoption and innovation. IoT is used to discover many forms of equipment such as wearable sensors and gadgets, tracking, and indoor navigation technology. By connecting lighting systems to health monitors and deploying sensors, it can also improve lighting systems.

Boost in Customer Service

IoT technology has had a significant impact on customer service and information delivery. IoT can enhance the capabilities of CRM systems, allowing them to detect and report customer issues to businesses. These solutions also enable businesses to participate in customer discussions, resulting in increased consumer involvement and, ultimately, client retention. During the epidemic, the increased usage of IoT to enforce social distancing measures was visible.

Blockchain in IoT

For IoT support, blockchain is a very promising technology. By combining the two, IoT security as well as operational, compliance, and legal concerns may be met in a uniform manner. Aside from executing business logic via smart contracts, blockchain technology provides a basic foundation for smart devices to function autonomously. IoT systems that use blockchain technology will be able to register and confirm themselves against the network, as well as directly transfer data between devices.

IOT & On Demand Software Development

By 2020, the Internet of Things will require millions more developers, and I’ve always said that IT is the future, and that we should recognise that on-demand software development is transforming how we do things now, along with IoT taking the centre stage as well.

With changes in consumer behaviour and the increasing availability of free internet access in our cities and towns, we will see more and more adaptations to on-demand apps. I’m talking about apps like Uber, Lyft, and other e-commerce systems that have entered the market to make our lives easier. Using them is no longer just a matter of fiddling around; we rely on them because they have come to our rescue in many ways.

Summarizing Thoughts

Because the value and uses of IoT continue to rise, the pattern of IoT development has a lot of potential and a lot of market share. The objective is to come up with the best solutions by combining cutting-edge technology with practical knowledge, experience, and skill.

Superior enterprise solutions in all industries, increased productivity, a pleasant living standard, and lifestyles will be the result of IoT advancement as an accurate source of wide-range data.

Prepare for the impending explosion of the Internet of Things. You can be sure that IoT is bound to infiltrate businesses of any scale or a leading on demand software development company. As a result, remember that it’s better to be prepared than to be left behind by the Internet of Things train.

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