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How to Upgrade to the Latest Version of Node Js (Linux, Ubuntu, Osx, Others)

IntroductionJust like all the other vast number of open-source frameworks, Node.js is one of the highly recommended technologies. Minor updates turn out at regular intervals to keep the architecture steady and solid as well as provides enhanced security among most of the version branches.  There are many upcoming techniques to update Node JS to the latest version. Each method is designed keeping in mind the various operating systems. So there is no reason to hold you back from upgrading Node.js to its latest version. Due to this Node JS development company also focusing on this. Here is an accumulated list of ways to introduce the most up to date version of Node. These methods are both simple and effective ways to upgrade to the latest version release. This article explores the upgrades on Linux-based systems, Windows, as well as Mac OS machines. Make sure that before you begin, check the version of Node.js you're using at present. You can do so by merely running the command ‘node – v’ in a command line terminal. Every now and then, when you upgrading to Node JS latest version, you have to make a great deal of edits to the ‘Dockerfile’ as well as ‘circle.yml’ files. This can be a very monotonous and tedious errand.To simplify this undertaking, you can run an ‘update-node’ in the directory which contains most of your archives. You need to enter the new Node.js version as one of the parameters using the command$ update-node <version> One key thing to remember is that ‘update-node’ does not submit or push any changes on its own. You can still manage the outcome of the update. This allows you to initially check what are the updates performed by the ‘update-node’ command. To submit and push for every single change in a repository, you are better off using ‘forany’ command.Here is the list of ways how to update node js to the latest version. It covers all the three primary operating systems: Linux, Windows, and Mac.Ways to update Node JS on LinuxFor Linux users, there are multiple ways or steps to upgrade Node js in your system, three ways to be specific. The first option is probably the highly recommended method. The simplistic nature and highly effective methods are very popular among developers and coders. In worst case scenarios, if you are not able to use the Node Version Manager, you can alternatively use the package manager or the binary packages.Option 1: Updating Node JS with the help of Node Version ManagerA common terminology for Node Version Manager is NVM. It is probably the best way to upgrade to the latest version of the technology. You also need to get your hands on a C++ compiler. You will also need to use libssl-dev package and the build-essential package. You can first run the update and then get the packages. You can run the update by the commands1    sudo apt-get update2    sudo apt-get install build-essential checkinstall libssl-devIn the event you need to update the NVM or install a version of it, you can get the installation script from any of the online portals or website.Once it is installed, you will need to reboot the terminal for the changes to take effect. For checking if the installation was successful you could run the command ‘–v nvm.’ Based on the output, you can figure out if the installation was done correctly. This is a one-time effort after which it is a walk in the park to get Node JS updated to the latest version. For information on the currently installed versions, you can use nvm Isand. To get a list of available versions, you can use nvm Is-remote.Once you are confident about the version details of the Node that you want to install, you can install it by running the command ‘nvm install <version number>.’ You can also check out the list of nvm versions and set a default version using alias command.Option 2: Update Node JS version through a Package Manager If at all you are not able to upgrade the Node JS version using NVM, then the next best option is to use a package manager. Node package manager or NPM can be instrumental in discovering, using and sharing codes as well as to manage any dependencies on previous versions of Node JS. The node package manager is part of installation setup for Node JS. To check out the current version of the package manager, you can use the command ‘npm –v.’ For installing the most recent update, you can use the command ‘install npm @ latest –g.’ Once updated, you can check if the operation was successful by running ‘npm –v.’You will also need to have access to the Node Package Manager ‘n module’. You can clear the npm cache with the command ‘npm cache clean –f.’ Once the cache is cleared, run the command which will install the n module, i.e., ‘sudo npm install –g n.’ Now you can choose the most stable version of Node, or you can specify the version using the version number.Option 3: Update Node using Binary Package k(Ubuntu/Debian/CentOS and Linux)This is least sought out path to update the version of Node JS and is probably the last resort. You can go to the official downloads page for Node JS to get your hands on the 32-bit binary file or the 64-bit binary file for Linux. You can use the command ‘wget https://nodejs.org/dist/v6.9.2/node-v6.9.2-linux-x64.tar.xz‘. You can download this file through a browser or with the help of a console. However, it is important to remember that the Node JS version could possibly change with the release of newer updates. Extract the file and install it using ‘xz-utils.’ The next step is to install the binary package using the command ‘1 tar -C /usr/local --strip-components 1 -xJf node-v6.9.2-linux.x64.tar.xz’.Updating the Node JS Version (Windows and Mac OS) with Installers Once you check out the downloads page for Node JS, you can see that there are binary packages for Windows and Mac. You can also use the existing and pre-defined installers, i.e. *.msi for Windows platform and *.pkg for a Mac. This can hasten and ease the installation process. Once you download the file in your local storage and run the file, the wizard takes over and handles the rest of the installation process. Once an update has been downloaded, the version numbers of the Node in the NPM will automatically be updated from the older versions. You can also learn more about the Important Tips and Features in Node.js to Practice here.ConclusionThe above steps will ensure that your version of Node Js is upgraded and the updates are completed. However, this does not make any changes in your packages or modules. Updating the packages along with the dependencies are also necessary. This is required for increasing compatibility levels and enhance security. Sometimes, Node JS modules become obsolete and are not compatible with the latest versions. You can use ‘npm update’ command to update the command modules to their most recent version.
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How to Upgrade to the Latest Version of Node Js  (Linux, Ubuntu, Osx, Others) 1597 How to Upgrade to the Latest Version of Node Js (Linux, Ubuntu, Osx, Others) Blog
Ankit Shrivastav 16 Jan 2019
IntroductionJust like all the other vast number of open-source frameworks, Node.js is one of the highly recommended technologies. Minor updates turn out at regular intervals to keep the architecture s...
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Top Artificial Intelligence Implications You Can’t Ignore in 2019

Artificial Intelligence has paved its way to different industries and revamped the business arena. According to International Data Corporation, Artificial Intelligence will aid 40% of digital transformations in 2019, and by 2025, the technology will facilitate 75% of commercial enterprise apps.According to Ibrahim Hadid, Director of Research at the Linux Foundation, ‘2019 is going to be the year of open source Artificial Intelligence’ and Peter Trepp, CEO FaceFirst says, ‘Artificial Intelligence will help elevate in-store customer experiences.’Artificial Intelligence has hooked startups and enterprises, but the technology will soon become an integral and consistent feature in business across industries. The massive potential of AI is evident from the AI industry’s expected market value of $190 billion by 2025.This article explores the top AI implications for business strategies.More Transparency in Artificial IntelligenceArtificial Intelligence aims to behave like humans, in terms of wisdom, intelligence, and decision-making. However, it gives birth to several ethical reservations and cannot be adequately utilized unless blindly trusted. It is assumed that AI accesses users’ data, search history, and other personal data. The misconceptions and inability to comprehend AI’s decision-making is a significant hurdle in its success and will be addressed in 2019. This will also be the beginning of the best AI prediction strategies for 2019.It is difficult to know the pattern adopted by Artificial Intelligence to reach a conclusion. However, it is possible to identify factors which contribute to the decision. In 2019, AI will become more transparent, to build the trust of businesses and consumers.Even businesses are reluctant to adopt Artificial Intelligence, to avoid liabilities in the future. Therefore, we will witness enhanced transparency for maximum utility for AI. Recently IBM revealed its technology to track the decision-making process of AI. It helps in monitoring the decisions, process of deciding, potential biases in data, decision weighting, and more.Enhanced transparency will encourage business to use AI in its processes and foster trust in the consumers’ minds. Artificial Intelligence will Enhance Job OpportunitiesUnlike popular belief that robots and machines will reduce job roles for humans, Artificial Intelligence will create more jobs in 2019 than it will take away, creating a positive impact on the job market. Robotics and AI will create 7 million job opportunities in the United Kingdom, between 2017 and 2037. Research by Gartner shows that AI will take away 1.8 million jobs and generate 2.3 million jobs. Most of the jobs will be created in health, hospitality, and technical services while reducing jobs in logistics, transport, and public administration.Artificial Intelligence shares responsibilities for repetitive tasks. For example, chatbots resolve customer queries about product deliveries, order updates, availability of products, expected delivery time, and so. The data is automatically fetched from the system using keywords. The customer service representatives can spend time on productive tasks instead. However, in some jobs, the final decision remains with humans, such as of doctors. AI helps in data analytics and diagnostics, but the human professionals make the last call.AI will replace humans in administrative work but create more jobs in intellect-based industries, such as healthcare and law. AI Assistants will Become Smarter and Wiser2019 will witness smarter and wiser digital assistants, aided by Artificial Intelligence. This will pave the path of the top Artificial Intelligence future trends for 2019. Users are already familiar will the AI assistants in the firm of Alexa, Cortana, and Siri; therefore, the acceptance of AI assistant will be easier for consumers. According to Global Web Index, 1 out of 5 adults uses voice search in mobile phones at least once a month.Alexa, Cortana, and Siri still have a robotic touch to their conversations. The coming year will see more natural and meaningful discussions with the AI assistants. Don’t be surprised if AI assistants enable online and offline interactions with televisions, refrigerators, and other electronic devices.Siri, Alexa, and other digital assistant perform basic tasks such as making calls, finding meaning, playing songs, or guiding the way. The assistants will become active in 2019 to plan journeys, suggest lunch and dinner menus, arrange calendars, anticipate behaviors, ordering taxis, recommending eateries, and more.The technology allows AI assistants to better understand humans via extensive exposure to users’ communication, behaviors, habits, preferences, interests, and desires. The natural language algorithms will efficiently encode the user’s speech into readable data for computers, enabling AI assistants to help their human users in a wide array of tasks.Be ready to interact with AI assistants at home, work, recreational areas, hospitals, and beyond.Artificial Intelligence is here to stay and grow. 2019 will bring some jaw-dropping AI uses that will leave you stunned.Look for your Artificial Intelligence platform with the best web development company and strengthen your competitive edge today!
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Top Artificial Intelligence Implications You Can’t Ignore in 2019

Top Artificial Intelligence Implications You Can’t Ignore in 2019

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Artificial Intelligence has paved its way to different industries and revamped the business arena. According to International Data Corporation, Artificial Intelligence will aid 40% of digital transfor...
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Hadoop and Its Core Features: The Most Popular Tool of Big Data

If you are looking to learn Hadoop, this is the right stage you have landed at. In this Hadoop tutorial, you can learn from the basics to the advance level in a very simplified manner. Are you looking to learn Hadoop? If yes, then you have landed on the right page. This tutorial will take you through the basics to the advanced level of Hadoop in a very simplified manner. So without wasting much time let’s plunge into the details of Hadoop along with the suitable practical scenarios. In this Hadoop tutorial, we are going to coverHow it all started What is all about big dataBig data and Hadoop: restaurant illustration What is HadoopHadoop solutions Hadoop features Hadoop mandatory services to set upHadoop tutorial: how did it start?Before starting the technical part in this Hadoop tutorial, let’s discuss some exciting story about how Hadoop came into existence. Hadoop was started by two people Doug Cutting and Mike Cafarella, who were in mission mode to build a search engine which could have a capability to index 1 Billion pages. They had undergone research for that, and they came to know that it requires to set up a system which hardware costs half million dollars and a monthly running cost of $30,000, which is a considerable capital expenditure for them. However, soon they realized that it is tough for their Architecture to support one billion of web pages on it.In 2003 they red a paper clip about the Google Distributed File System known as ‘GFS’ which used in Google's production. Now the news on GFS is something exactly they were looking, and it became a solution for their storage problem of the vast amount of data that's get generated in the process of web crawl and indexing.  Later in 2004 google came up with one more invention which is MapReduce into this technical world. These two inventions from Google led to the origin of software called “HADOOP.” Doug has given the following on the google contribution to the development of the Hadoop framework“Google is living a few years in the future and sending the rest of us messages.” So with the above discussion, you would have got an idea about Hadoop and how powerful it is.Hadoop tutorial: what  Big Data is all about?The world is transforming at a rapid speed with the technological advancements in each sector, and we can get the best out of everything. In the olden days we used to have landlines, but now we have moved to smartphones which can perform all most all works like a PC. Similarly, we used to store the data into floppy drives back in the 90’s.  And these floppy drives had been replaced by the hard disks due to its limited storage and processing capability. But now we can store terabytes of data on to Cloud, without bothering about the storage limitations. Let’s consider some crucial sources from where the significant portions of data get generated. Have you heard about IoT? Now it’s been a disruptive technology in all industries. IoT connects all physical devices to the internet or to the other methods, to perform certain things without human intervention in between the Devices. Here let us discuss the best example of IoT is smart Air conditioners in homes. The Smart AC’s are connected to the internet, and it can adjust the temperature inside the room by monitoring the outside temperature.  With this, you could get an idea of how much data has been generated by the IoT devices by the massive no of different devices worldwide and its share in contributing to big data.Now We should consider the main contributor to big data is social media. Social media is one of the biggest reason for the evolution of big data, and it gives the information about population behavior. The following image will give you a clear idea about the amount of data generated by social media every minute.Apart from the data rate of data generating, the second challenge comes with the unstructured or unorganized data sets which make processing a problem.Big Data & Hadoop - AnalogyHere let’s take a restaurant as an example to get a better understanding of the problems related to bid data and how Hadoop solves it.John is a businessman who has opened a  small restaurant. Initially, he had one chef with one food shelf, they started receiving two orders per hour and the restaurant set up was enough for handling orders.Here we are going to compare restaurant scenario with a traditional system where data was used to generated in a consistent way, and our storage system like  RDBMS was capable enough for processing it just like John’s chef. Here in this scenario, the chef is compared with traditional processing and the food shelf is compared with data storage as shown in the above image. After a few months, Bob thought to expand his business and started taking online orders as well by adding few more Cuisines to the menu to serve a large number of people.  The Orders were rose to an alarming level of 10 per hour, and it became tough for a single chef to handle the extra work. Aware of that situation John started to think about the measures that he needs to take for handling the case. The same thing happened with big data; suddenly the data started generating at a rapid rate because of the data growth factors such as social media, etc. now the traditional system, just like a chef in john restaurant unable to cope up with the situation. Thus, there was a need for different kind of solution to tackle the problem.After a lot of research john came up with an idea to increase the no of chefs to four, and everything is functioning well, and they can handle the orders.  But soon this solution was lead to another problem which is a food shelf since four chefs were sharing the single shelf it became a hurdle for them. John started to think again to put a stop to the situation.In the same fashion, to handle the data processing of vast volumes of data many processing units were installed( just like John hired extra chefs to manage the orders). But even in this case setting up additional processing units was not a solution to the problem. Here, the real bottleneck is the central unit for data storage.  In other words, the whole performance of the processing units was driven by the primary Storage. If it is not efficient the entire system would be affected. Hence, there was a storage problem to resolve.  John came up with another idea to divide the chefs into two categories, i.e., junior and senior chefs and assigned each junior chef with a food shelf. Each senior chef was appointed with two junior chefs to prepare meat & sauce.  According to John's plan, among two junior chefs, one will make the meat, and the other will prepare sauce, so both the ingredients will be transferred to the head chef and he will mix both the ingredients to prepare the final order. Hadoop works similarly as John’s restaurant does. The way food shelves distributed in John’s restaurant, in the same fashion the data will be stored in a distributed manner with replications, to give fault tolerance.  For parallel processing, first, the data gets processed by the slave nodes, where, it is stored for a while to obtain intermediate results, and later these intermediate results are merged by the master node to produce the final result.The above analogy must have given you a fair idea about how big data is a problem statement and how Hadoop is a solution for it. As we discussed in the above scenario, there are three significant challenges with Big Data. The first problem is storing a massive amount of data:Saving vast amounts of data in a traditional storage system is not possible. The reason is known to everyone, the storage capacity is limited, but the data is generating at a rapid speed.The second problem is storing diversified data: As we know data storage is a problem, but even there is another problem is associated with it which is storing heterogeneous data. The data is not only colossal, but it presented in different formats such as semi-structured, structured, and unstructured. So you have to make sure that you have a multitasking system to store the diversified data which is generating from different sources and in different formats. The final problem is the processing speed:As we all aware big data consists of a significant number of datasets it is tough to prepare the data in a less span of time.To overcome the storage issue as well as a processing issue there are two components created in Hadoop which are - HDFS & YARN. HDFS stands for Hadoop Distributed File System, it resolves the storage problem by storing the data in a distributed manner, and it is easily scalable. YARN Stands for  Yet Another Resource Negotiator, and it is designed to decrease the processing time drastically. Let’s move ahead and understand what Hadoop is?What is Hadoop?Hadoop is an open source programming structure which is intended to store the colossal volumes of informational collections distributedly on expansive groups of the ware. Hadoop programming structured on a paper discharge by google on MapReduce, and it can apply to all thought of practical programming. Hadoop was produced in Java programming dialect, and Doug Cutting and Michael J. Cafarella structured it.Hadoop Key features:Reliability:When machines are working in tandem mode process if one device fails, there is another device ready to take charge of the responsibility of it and perform the functions of it without any interruption in between. Hadoop is designed with an inbuilt fault tolerance feature which makes it highly reliable. Economical:Hadoop can operate on standard commodity hardware (your PC or Laptop). For instance, in a mini Hadoop cluster, all data nodes requires a standard configuration setup like 5- 10 terabytes hard disk,  Xeon processor and 8-16 GB RAM is enough. So, the cost for Hadoop is very economical and easy to operate on your regular PC or Laptops. And more importantly, Hadoop is an open source software, so, you need not pay costs like licensing. Scalability: Hadoop has the inbuilt capacity of integrating with cloud computing technology. Especially, when Hadoop is installed on cloud technologies you need not consider the storage problem. You can arrange the systems and hardware according to your requirements.Flexibility:Hadoop is very flexible when it comes to its performance in dealing with different methods of data. Hadoop is a flexibility feature to process the different kinds of data such as unstructured, semi-structured, and structured data. The above are the four features which are helping in Hadoop as the best solution for significant data challenges. Let’s move forward and learn what the core components of Hadoop are.Core components of HadoopWhile you are setting up the Hadoop cluster, you will be provided with many services to choose, but among them, two are more mandatory to select which are HDFS (storage) and YARN (processing).  Let’s get more details about these two.HDFS ( Hadoop distributed file system) The main components of HDFS  are Namenode and Datanode. First, let’s discuss the NameNodeYARN:YARN consists of two essential components Resource Manager and Node Manager Resource Manager:It works at the cluster level and takes responsibility to run the master machine. It stores the track of heartbeats from the Node manager. It takes the job submissions and negotiates the first container for executing an application. It consists of two components: Application manager and Scheduler. Conclusion:The above explanations and examples might have given you a brief idea about big data, how does it get generated, problems that related to Big data, and how Hadoop is useful to solve these problems.Happy learning and I will come up with a new post soon.    
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Hadoop and Its Core Features: The Most Popular Tool of Big Data

Hadoop and Its Core Features: The Most Popular Tool of Big Data

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If you are looking to learn Hadoop, this is the right stage you have landed at. In this Hadoop tutorial, you can learn from the basics to the advance level in a very simplified manner. Are you lo...
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Native vs. Cross-Platform Apps – You’ll Be the Winner

Native vs. Cross-platform is an age-old debate. It is a debate that has kept the tech community divided for years. Many claimed to have found the ultimate answer but both cross-platform and native app development technologies are in a constant state of evolution. And due to this changing nature of technologies, it serves to revisit these topics from time to time to find out which of these options is currently in the lead.Both the native and cross-platform apps have a dynamic list of pros and cons. These factors can affect everyone involved with the app, including the app owner, the app users, and the app developers. Now, app developers have preferences based on the technologies they are most comfortable with. Today, however, we will limit the scope of discussion to app owners and users.So, let’s start with the basics.How Important Is the Mobile Application Platform?Apple’s iOS and Google’s Android are by far the biggest and most popular mobile platforms in the world. According to stats, a majority of the global market is captured by Apple and Android stands second.                                                                               Image sourceThe US, for instance, has a bigger iOS market share i.e. 56 per cent compared to 43.5 per cent of Android. Not to forget, there are other smaller platforms such as Windows. This means if you choose your app simply in the global data, you might lose an important target region. That is why you need to choose your app platform wisely. You need to know where your audience is and build your app’s presence on each of those platforms. Now there are two ways to do that - you either build a native app for each platform or create a single cross-platform app supported by multiple platforms. Let’s take a look at how this decision will affect your app:The Basic Difference between Native and Cross-Platform AppNative apps are developed exclusively for a specific platform. These apps are developed in a language compatible with the platform. Apple, for instance, prefers Objective C and Swift for iOS while Google favors Java for Android. Using these acceptable languages, developers can make better use of the innate features of these platforms. A native app developed for Android will not function on iOS and vice versa.Cross-platform apps are compatible with multiple platforms. Due to the market share of Android and iOS, most cross-platform apps are limited to these two operating systems. These apps are developed in HTML and CSS since these standard web technologies are platform independent. There are several cross-platform application development tools that allow developers to create these apps with little trouble. Now that you know the difference between cross-platform and native apps, let’s see how they compare.Performance – Native vs. Cross-PlatformNative apps make the best use of resources and utilize the platform’s capabilities up to its full potential. This means native apps are high performing apps that are fast, responsive, and less likely to crash. If the developers have enough knowledge of the platform they are working on, they can optimize native apps to highlight the best features and capabilities of that platform. Cross-platform apps are often plagued with performance issues. Since they are the built-on one-app-fits-all approach, it is not unusual for these apps to act out on certain devices. Winner - NativeFeatures – Native vs. Cross-Platform Native apps can make use of the device’s native feature, especially with iOS, which runs only on Apple’s proprietary devices. Another great advantage of native apps is that they allow offline features, which is something not easily possible with cross-platform apps. Cross-platform apps cannot utilize the native features of the device because they have limited access to the API. Since they are developed for different devices with varying features, developers usually avoid making assumptions about the available features.Winner - NativeFeasibility – Native vs. Cross-Platform Native app development takes twice as much time as cross-platform apps. The cost is also higher since it usually requires building more than one app. Maintenance is equally time-consuming and costly, as the developers have to identify bugs and problems for each platform and create different updates accordingly. Cross-platform apps are relatively cheaper in terms of development and maintenance. You are investing in a single app and that is all you will have to maintain. However, sometimes, the higher number of issues and bugs outweigh this advantage. Winner – Tie User Experience – Native vs. Cross-Platform The importance of user experience is increasing by the minute, which is why it is the most essential thing that you must ensure in your app. Considering the above stats, this one really is a no-brainer. With better performance, higher speed, and better device utilization, native apps offer a tremendous experience. Designers and developers have more creative freedom to create good-looking apps and smooth functioning apps. Native apps are not just responsive but also intuitive. While developers can create equally intuitive cross-platform apps, such features often come at the cost of speed. It is difficult for the developers and designers to simultaneously fulfill all the UX requirement of multiple platforms. Overall, cross-platform apps do not deliver a desirable user experience. Winner – Native A Fair Conclusion Native apps seem far superior in terms of performance and user experience. This is enough to make them the winner. However, let’s not forget that the choice truly depends on your application. Simple applications like games and content distribution apps are usually developed as a cross-platform app while apps with specific features are native.Cross-platform is also preferred for B2B apps where deployment time is of utmost importance. Many small businesses also opt for cross-platform due to their limited budget. However, compromising performance and user experience for the sake of savings is often counterproductive. It is important for you to choose a platform that meets your needs, requirements, as well as your target audience,  needs to create your winning app.
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Native vs. Cross-Platform Apps – You’ll Be the Winner

Native vs. Cross-Platform Apps – You’ll Be the Winner

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Native vs. Cross-platform is an age-old debate. It is a debate that has kept the tech community divided for years. Many claimed to have found the ultimate answer but both cross-platform and native app...
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How AR can Help Improve Customer Engagement in eCommerce?

The first age of the internet was about information and the next one will be about experiences. The biggest companies of the first generation are built around access to information. Google's main goal is to sort out the world's information. Facebook gives you information about the important moments that occurred in the lives of your near and dear ones.However, the coming generation of big companies is being built around giving people experiences. Snap Chat is meant for in-the-minute experiences with your friends with no digital information left behind. Airbnb plans to make you experience another city like a local.And, with regards to retail, an impact of Augmented Reality on E-commerce customers is changing the whole game. This can be well studied from the stats supporting the statement of how AR improved e-commerce customer engagement. This cutting-edge technology makes it possible for the owners to augment real-world shopping conditions with computer-generated resources, bringing efficiency, clarity, and comfort to the customers. But, how can retailers with little experience in this high-tech tool best use AR to help increase conversions? While there are different strategies, one of the techniques more retailers are utilizing is to improve customer engagement using AR. Here are the tips for increasing the Customer Engagement using AR:Steps to engage e-Commerce customers with ARBy Improving Customer Experience The AR technology gives customers who shop online the opportunity to view the product in form of a model. They can connect with in a similar way they would if they were visiting a physical store. This gives the clients a superior feel of the product and how it fits into their lives. As per the reports, 61% of online customers like to make purchases on sites that offer AR technology.By Providing Modification and CustomizationMost of the customers like to explore various preferences and choices before buying a product. With AR, clients would now be able to experience this virtually from the solace of their homes. Customizations including designs, colors, patterns and much more can be explored with augmented reality.By Increasing the Shopping TimeToday, most online stores offer instructional videos on a few products so as to enable the purchaser to understand the product. With Augmented reality not only they could interact with the product but they can also explore its functionalities. Generally, an average online customer spends about 2 minutes online before making a purchase, however, with the AR that time can be increased. Moreover, it has been showing that the more time a client spends in a store, the more certain they are to make a purchase.Amazon Is Already On-BoardAmazon, an eCommerce and cloud computing organization has added 'AR View' function in its app for ease of shopping. As of now, Amazon offers AR view function for the selected number of products. But, the company has plans to continue including more products in this list so that customers can test the look and feel of it.The products can be rotated to know how extensive it is and what it looks like when placed in the real area. AR view feature of Amazon application has improved shopping experience by giving customers a satisfied feeling and winning their confidence while placing the order.Incorporating AR in eCommerce Websites Made SimplerForecasting the rising need of AR-based mobile applications in the coming future, big giants like Google and Apple have built up their very own Augmented Reality platform. These platforms make it easy for developers to develop eCommerce applications having AR features.ARKit: Augmented Reality for iOS iOS app developers can breathe a sigh of relief with the accessibility of ARKit – a platform to develop AR iOS applications. This kit decreases the time and efforts of the developer in building apps that flawlessly mix digital objects and information with the real-world environment.ARCore: Augmented Reality for Android ARCore is a software development kit for Android developers to create amazing applications with Augmented Reality capacities. This kit contains every one of the tools that developers require to make greater and better bets with AR that superbly blend the virtual and real world.The Future of AR in eCommerceAugmented Reality is the future of omnichannel experience. This technology uses the perk of online shopping, for example, convenience, and beats the challenges of 'vulnerability' to deliver impactful outcomes for eCommerce business. AR enables customers to interact with the product in real time and deliver touch and feel experience like that of in-store shopping.By taking out the guesswork from online shopping, AR technology has lessened company losses resulting from return request of clients. These pain points are addressed with innovations in the field of eCommerce. AR enhanced e-Commerce customers, making their life easy and hassle-free. AR is genuinely a market differentiator and many eCommerce brands are betting big on it.
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How AR can Help Improve Customer Engagement in eCommerce?

How AR can Help Improve Customer Engagement in eCommerce?

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The first age of the internet was about information and the next one will be about experiences. The biggest companies of the first generation are built around access to information. Google's main ...
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Why the invention of machine learning is considered to be the end of the human era?

Modern machine learning powers a great many applications such as social network filtering, self-driven vehicles, finding terrorist suspects, medical diagnosis, computer vision, and playing video and board games. Generally, it's regarded as a type of Artificial-Intelligence or Al. In other words, it is a subset of AI where computer programs are used to learn new things independently using the available data and information. The main idea behind this type of AI relies on mathematics, statistics, computer science and the enormous scientific work such as the development of the Least Square method (1808), Bayes Theorem (1812), and Markov Chains (1913) that was contributed by the great scientists who lived many of years ago.Machines that operate using this kind of technology are autonomous and require no human intelligence. In 2015, more than three thousand researchers from the Al and Robotics department led by Elon Musk, Stephen Hawking, and Steve Wozniak signed a letter warning about the risks of using autonomous weapons which work with freedom and independently without human involvement.This account focuses on the invention of artificial super-intelligent humans with the help of machine learning, and the dangers it poses on the existence of human beings, creating a negative impact on the human eraHistory of Machine Learning and AIOriginally, in the 1940s, when the ENIAC, the world's first electronic general-purpose computer system was being invented, the term the computer' was used to refer to a person with intensive capabilities to do numerical computations. The ENIAC, therefore, was identified as a numerical computing device and the media, in 1946 when the machine was being announced referred to it as a °Giant Brain'. No one knew exactly whether the device was a learning machine. But from the very beginning, the main idea was to create a powerful machine that could surpass learning and human thinking. Around the 1950s, the first gaming program that was believed to win against the checkers' world champion emerged. The program was used in a great deal by checkers-players to better their skills. Later, with great support from the Office of Naval Research, a United States international Navy and Marine research department, Frank Rosenblatt invented an algorithm referred to as the Perceptron that became a powerful monster when it was combined in a network with large numbers. Several years later, we saw the Department of the neural networks becoming stagnant due to limited abilities to find answers to some problems.In the 1990s, machine learning became popular although not as much as today. The combination of statistics and computer science led to the development of Artificial Intelligence which further shifted toward the so-called data-driven applications. Scientists used plenty amounts of data available to create intelligent systems that could inspect, analyze, and learn using large-scale data Today, the concept of artificial intelligence is viewed as the last invention and end of the human era.Machine Learning and Al Training ProgramsIt requires great knowledge of science, mathematics, and computational statistics to become smart in working with models and algorithms used in machine learning. Knowledge of computer hardware and software skills used in machine learning such as Python, C/Coo, R, Java, Scala, Julia, and JavaScript is needed to fully develop an Al application. The following are the current programs used to train individuals who are interested in building Artificial Intelligence applications.Artificial Intelligence Masters Programs MS degree programs in AI provide postgraduate students with a great deal of knowledge of the design, theory, development, and application of socially, linguistically, and biologically motivated computer systems. Research-oriented programs such as MPhil and MRes are also available although not in every institution. This degree, depending on the program, may include a specialization in topics such as cognitive robotics, machine learning, multi-agent systems, and autonomous system design. To pursue this career, learners should have an undergraduate degree in a related field such as Robotics and Computer Science.MS In Computer Science Online This degree is designed to train busy professionals anywhere in the world to study at their own pace. The program is non-thesis and provides a thorough preparation of the techniques and concepts related to programming, design and computer systems applications. Learners are equipped with in-depth knowledge and understanding of the essentials and current matters in computer science and engineering. It includes about thirty courses depending on the institution on topics such as robotics, AI, machine learning, and computational perception. The program requires a student to choose one of the various areas of study such as Software analysis and design, Bioinformatics, Information Technology, Computer programming, and etcetera.  M Tech Distance LearningAfter completing a B-Tech degree, you can advance your career by applying for an M-Tech degree program which takes exactly two years. Through distance learning, you can attend lectures at your own time. Additionally, you can access various programs through video chat, voice chat, and conferences which are considered a part of the course. It equips learners with a lot of research in the respective fields (Machine Learning, Computer Science and Engineering, and Mechanical and Electronic Engineering) and also an in-depth knowledge and training required to work in various research and development centers, power and mining generation companies, and consultation firms.India has the most popular universities such as Amity, Annamalai, and Indira-Gandhi Open Universities known to provide an M Tech Distance Learning degree. To pursue this career, you must have obtained an undergraduate Tech degree with the minimum qualifications required by the university council. Additionally, you must have a Certificate of Migration to be eligible for the distance learning degree in India.Machine Learning: Why it's The End of Human Era Today, the development of AI has crossed borders due to the invention of many systems that nearly imitate the behavior of an intelligent human being. Machines, things that are known to possess no life, having capacity perform assignments that require human judgment such as decision-making, speech recognition, translation between languages, visual perception, and etcetera is posing a great threat to our existence. In his book, Our Final Invention: Artificial-Intelligence and the End of the Human Era, author James Barrat cautions strongly the risks that artificial super-intelligent human beings pose to the existence of people. He further stresses how difficult it could be to predict or control a thing that is more intelligent than its own creator. Moreover, all the incredible threats and difficulties human face today including climate change, nanotechnology, nuclear weapons, biotechnology, and a lot more, are brought about by one thing: Artificial Intelligence. That's why Barratt states, in a plain and very clear language to completely go against Al. Our intelligence could be the only attribute that separates us from the aliens and other animal species out there. Humans were not the strongest animals in the world, but with their smart brains, they were able to emerge on top of all the beasts in the jungle. Sadly, our existence is put in jeopardy by things that we have created with our own hands.Scientists could be creating an Al that has the greatest intelligence than any other creature on earth that could become very powerful to do all our daily tasks or even fail us and kill us all depending on how they are programmed. Although the current era is more focused on the development of machine learning and artificial super-intelligent human beings, professionals think that the world is heading in the wrong direction. This is due to the fact that computer automated machines, no matter how intelligent they are, will never "think or understand" as the normal human brain. Additionally, comparing computer networks and the way they analyze things with their powerful algorithms to the conspiracies of the human brain is very similar to comparing oranges and apples.Conclusion To sum up, based on research and several reports published on various journals, it's very clear that the invention and development of machine learning in robotics and Al applications can become a great threat in the way of life of humans. This’s considered very possible when a machine is programmed to perform important duties, but instead develops a devastating technique for attaining their own goal. Moreover, when robots and other machines are programmed to perform destructive duties such as killing, getting into the hands of criminals and other dishonest people could lead to enormous casualties all over the world. This is the reason why the invention of machine learning becoming threats to humans in the future. 
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Why the invention of machine learning is considered to be the end of the human era?

Why the invention of machine learning is considered to be the end of the human era?

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Modern machine learning powers a great many applications such as social network filtering, self-driven vehicles, finding terrorist suspects, medical diagnosis, computer vision, and playing video and b...
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Amalgamation of BI and deep learning helps companies grow beyond imagination?

Machine Learning is indeed playing a vital role in business intelligence. There is no doubt about the fact that the companies all around the globe, have now realized the power of data. A large amount of data is indeed a significant part of every business strategy. When it comes to investments in the field of machine learning, deep learning, big data or artificial intelligence, they have indirectly or indirectly boosted business intelligence as well. And, as a result, now companies are enjoying a greater Return on Investments.What is Business Intelligence, and why is it important for a company? Business Intelligence is nothing but the effective utilization of data to allow the companies to efficiently deal with the ever-evolving needs of almost every industry. Though BI is not a new thing, and it has been in existence since years, but, if we talk about the importance and need of BI, it is intense now. Business intelligence definitely helped a plenty of companies to reach pinnacle point. The use of BI isn’t any more perplexing as it has proven its importance in the market.BI with the definitive foundation to amass, integrate, review and present business information and amplify the quality of the data-focused decision making, has come out to be one of the most useful strategies for businesses. Therefore, the road to the transformation of the data into actionable intelligence has smoothened and streamlined by the use of BI.Why is BI even important?Business Intelligence is the collection, analysis, presentation, and use of information in such a way that helps the company do better. Say, for example, if a firm which deals with jackets checked their Business Intelligence tools, the company would be easily able to segregate their sales. They would know how many woolen jackets were sold in say September and how many can they expect to sell in the month of June. The sales parameters (declining or growing sales) will help them to decide their marketing plans better. They would know when to offer discounts, which is the perfect time to get rid of the old stock quickly etc.Deep learning in businesses Deep learning an element of machine learning algorithms which makes use of the deep neural network. It uses the neural network to learn more. When it comes to a deep neural network, it is nothing more than an assemblage of artificial neurons. All of them are the trainable mathematical units. The basic function of them is to together learn even the most intricate of all the mathematical functions. They do in order to map raw input to the desired output. Neural networks are not new. In fact, they have been in existence since years.Deep learning plays a tremendous role in BI. Whenever we talk about anything that includes “Predictive” it does include deep learning or machine learning in one way or the other. When it comes to activities like forecasting future orders or looking for a deceitful insurance claim machine learning or deep learning comes to play.  Deep learning is used by various businesses to automate processes and boost efficiencies. At the same time, deep learning is also helping firms to reduce cost and provide a better superior experience to their customers. However, the most eminent use of deep learning is by the business intelligence systems.Companies now a days are making use of deep learning and AI to forecast customer behavior as well. This helps the business managers to predict the possible risks, and to make better marketing and sales plans. All this is a part of business intelligence, as only these kind of intelligent insights can help the firms to perform better.Use case: Deep learning is effectively used in the field of customer support. When it comes to satisfaction prediction, they make use of deep learning algorithm to process all the outcomes related to the historical satisfaction surveys. Also, the most efficient part of deep is that it keeps ‘learning’ from signals. These signals include things like, total time taken to answer a query, time taken to solve a problem, customer satisfaction ratings etc.The Combination of BI and deep learning for boosting business We already know that more than 76% of businesses are using machine learning to boost their sales. Deep learning, the evolved part of machine learning is used widely by the companies as well. Deep learning is a lot more than just stats kept aside, gathering the data or running intricate algorithms. Though stats are important for a successful business intelligence strategy, the most important part is to process them well. It is basically the art of learning and offering better outcomes.Deep learning in financial sectors Deep learning as we know is apt for solving even the most complicated image classification. Also, it has the ability to tackle even the toughest object recognition issues. Therefore, deep learning is widely used in facial comparison as well as identity verification technologies a lot. For instance, it is widely used in the financial services institutes. The financial sectors have to verify the identities of the customers. That’s one of the most important part of their activity. Here, automatic verification is going to saves a lot of time of both the banks as well as of the customers. Also, banks even save a lot of money by adopting the new technology.Conclusion Business Intelligence is growing rapidly and so is deep learning. Hence, the blend of both is surely going to help companies in numerous ways. Hence, developers are making topnotch BI tools which are powered by the deep learning methodologies.
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Amalgamation of BI and deep learning helps companies grow beyond imagination?

Amalgamation of BI and deep learning helps companies grow beyond imagination?

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Machine Learning is indeed playing a vital role in business intelligence. There is no doubt about the fact that the companies all around the globe, have now realized the power of data. A large amount ...
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Augmented Analytics: New Wave of Data and Analytics

Today, data is invaluable to every business irrespective of its nature and size. As the information is growing consistently, the role of data analytics has become an essential element in business growth. To compete with the opposition, you have to remain updated with the changes in business analytics. You may have heard about “Smart Data Discovery,” it is leading as a supreme differentiator across the organizations. Organizations can get clear insights by concentrating on building models and coordinating information for improving it and automating the tasks. Therefore, the demand for skilled data analysts has increased in the market.For data analytics, augmented analytics is the best option which can iteratively play out the data-to-insight-to-action like setting up the data, decoding data patterns and building models, and conveying and operationalizing the information discoveries. It saves both time and assets utilized for getting relevant business insights from the information.With the help of Machine Learning and Natural Language Generation (NLG), augmented analytics makes data-insights automated. These data-insights can help with faster and proper decision making. Hence, augmented analytics is a new trend in the field of business intelligence (BI), data analytics and enabling analytics-driven organization. Thus, it has become the best choice for the organizations as the platform capacities are developing.For those who are interested in choosing their business solutions, or managing an analytical solution implementation, they should understand the features and functions of augmented analytics.Augmented Analytics FunctionOver the past several years, with the help of AI, NLP, and many other technologies, different advanced techniques have been developed in the automated analytics field. However, apart from the present capacities of data analytics tools for visualizing and grouping data, the future of augmented analytics, seems more exceptional. It gives historical reports and dashboards, as well as offers automated and actionable prescient and prescriptive direction.By using augmented analytics, complicated and time-consuming evaluations will be solved faster and more comfortable. It analyzes the data automatically, translates the shrouded designs into data and builds models using them. To illustrate the data and to give a proposal for making an appropriate move, Artificial Intelligence (AI) programmes are used. Organisations can examine their speculation and hypotheses as they can decipher their information and access key data using different statistical algorithms. Augmented analytics accomplishes things like exploring new data-sets, identification of leads, analyzing the result, agitation of customer and more.                                                                                                            [Source: Gartner]Here are some reasons that you should think about augmented analytics & data preparation for your future businessTraditional data discovery methods are expensive, time-consuming, and slow in providing desired results.For predicted results, business owners need to depend on data analyst and data scientist who are trained.As this procedure is tedious, more than frequently, decisions could be made based on “gut feeling” instead of on logical expectations given statistical analysis.Entrepreneurs don't have the skill and time to analyze the content, yet in the meantime, they require precise, impartial information to make solid business decisions. Augmented analytics facilitates these.Here are the facilitates of  advanced analytics and augmented data preparation: Data scientists & IT groups will be able to concentrate on tactical things and special projects.These advanced technologies in smart data discovery, other modern strategies and plannings can emphatically affect ROI and TCO.Accessible augmented analytics makes Citizen Data Scientists and enhances responsibility and empowerment.This analytics will help organizations to make the right decisions,  more precise business predictions and quantifiable analysis of product and pricing, financials, production and different parts of the business.Augmented data preparation and related devices will enhance the data range, user adoption, social BI integration, and information literacy.Though It is not simple to remain alongside the terms, strategies, and solutions in the analytics space, it is well worth the effort. This market is changing rapidly with new tools and advancement introduced each year.Regardless of whether you are an IT expert, an in-house IT proficient, a middle manager or a senior official, it is essential to observe the progress of business analytics and the related technology. Each business needs to see how these solutions can and will influence clients, procedures and work process.Providing your team with the advanced tools like Sisense, Domo, Tableau, QlikView...etc & training, and an easy method to deal with the vast amount of data is essential to your business achievement and will make each employee an advantage for your organization.Factors for the Organizations to Consider Augmented AnalyticsProvision of  Agile centralized business intelligenceCloud-based deployments, concerning the advanced analytics and business insights platforms. Next-generation augmented analytics has empowered data analytics delivery at a significantly faster pace over the organization while at the same time utilizing far fewer assets.Mutually beneficial business interactions Enterprises are expected to provide access to the curated data to clients by giving double business value to those who invest in augmented analytics by the year 2020. The data can be shared over the organizations through the cloud, along these lines advancing their analytics and those of others for obvious advantages through consistent, networked integration of data and analytics over their enterprises.Decentralized analyticsExpansion of the corporate information model has not been made possible with the decentralized groups and individual clients without compromising data governance. Standard definitions and key measurements form bound together semantic layer that keeps up consistency irrespective of the client's area.A comprehensible user interface Simple to use tools that help an extensive variety of analytics work process capacities form the basis of augmented analytics in business. Advanced augmented analytics give a consumer-grade UI that is more instinctive, rich, and user-friendly for the business people and gives them more power.Governed data discovery It is possible to help the work process from data to self-service analytics, a  record system, and IT-managed content. It would then be able to be governed, reused, and advanced as ensured data and analytics content.Summary Augmented analytics has changed efficiently the whole work process of analytics and the manner by which data analysts get information and work on insights. It is an approach that automates insights. It will lead to reach beyond data scientists and transform the organizations exceptionally.
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Augmented Analytics:  New Wave of Data and Analytics

Augmented Analytics: New Wave of Data and Analytics

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Today, data is invaluable to every business irrespective of its nature and size. As the information is growing consistently, the role of data analytics has become an essential element in business grow...
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How is WordPress useful for building an E-commerce Website?

Nowadays, it has become kind of an unsaid rule that if you have a business, you need to have a compelling online representation for that as well. In which, eCommerce Website Development plays an equal part.Customers like to shop online more than going to the stores physically, and eCommerce website development helps businesses to develop the online store pleasing the customers. We will see the important uses of WordPress for E-commerce Website development.However, eCommerce development needs the great tools of which WordPress is the one. Why I specifically mention WordPress? Well, let’s check the below stats to justify my answer.Firstly, talking about eCommerce, a statista report of 2017 forecasted that eCommerce sales worldwide could reach up to or over $4.5 trillion by the year 2021. Now talking about WordPress amidst this, according to W3Techs, it alone powers over 32% of the websites among the global internet.These stats show that WordPress has a significant influence on website development among the internet.How to develop E-commerce website with Wordpress?Further, coming to the topic, we will talk about the advantages of using WordPress for eCommerce Website Development and the different ways to create an E-commerce website with WordPress are as follows:Robust PluginsEvery eCommerce store is different from the other, and hence, every eCommerce Website Development requires different features to function in the online store.WordPress as a CMS comes up with an infinite number of robust plugins those support almost any type of website development services.WordPress supports the eCommerce website development process with different types of plugins which match the required features of the eCommerce store.The plugins are available for free, so you can anytime install and add to your store to enhance the features and functionalities of the store.Plugins are similar to the term apps; they are used to add up the functions to any website or the store.However, sometimes you feel that the number of plugins available is not matching your requirement or you got one plugin matching but need to make some modifications into it, you can choose WordPress Plugin Development to create the unique type of plugin that you would like.While we are talking about the eCommerce and WordPress plugins, one more plugin comes to my mind, designed explicitly for eCommerce, which is WooCommerce.WooCommerce  To define WooCommerce, we can say that it a free plugin that WordPress provides for eCommerce Website Development to create the appeasing online eCommerce stores.WooCommerce helps a lot in Custom WordPress Development Services as a plugin providing endless features to a WordPress website.It is famous in many high-traffic websites across the web.It supports a massive number of themes offering the top eCommerce development services to the businesses.It integrates well with thousands of extensions; be it paid or free.With the revolution of WooCommerce in Wordpress development design service, it has become a vast playground for the innovators to bring their creativities to life.Payment integration for Multiple payment gateways While your business is providing the eCommerce website solutions, your online store should be flexible enough to offer multiple payment options to the customers.With WordPress as a CMS, you can offer this option well on your online store.Whether you want to build a website for small business or a big one, it is very crucial that you consider allowing multiple payment gateways on your online store as you never know what payment mode customer is more fond of or does he have that only one mode which you are missing out on your list.Management ease Since, the e-commerce website built using WordPress, it makes easy to manage from anywhere and everywhere.Just like you manage your WordPress business website, you can manage your online store as an admin from any corner of the world.It also allows you to create multiple users on the store who can also access and make the permitted changes to the store as and when necessary.Even more, if you have built your business website and blog using this CMS, you are even more ease to make the changes on all the things from the same platform with a single login.This feature makes WordPress development services as the best tool for eCommerce Website Development.However, there are some more beneficial features of WordPress which stay common for almost all the types of websites created using WordPress.Those are as follows:Regular Updates Some stats for WordPress say that it releases a new or an updated version every 152 days on an average.The above statement means that WordPress is always on the toes to update that keeps it walking step-to-step with the current technology trends.Because of updates coming on the regular intervals, it helps in creating the platform more securely from the security loopholes which occur because of not modifying the store for a long time.SEO featuresWordPress has quite innovative and helpful inbuilt SEO settings that optimize your webpage automatically for the search engines.There are lots of components and plugins involved in the WordPress itself which help you customize the SEO settings as per your need and desire for your business website.Top eCommerce Development Services mostly advise using WordPress as the eCommerce website development, because it helps businesses with SEO along with many other features.Migration Migrating a large eCommerce store from one platform to another can sometimes prove to a be a headache to the programmer.While the case is opposite with WordPress; it comes for free, and hence, there is no issue with the subscription cancellation and moving to another platform or server.Although, apart from this, WordPress comes with many plugins that help in migrating the store or the website from one server to the other.So, if you hire eCommerce development service for migrating your eCommerce store from WordPress to another platform, it will be a whole lot of ease for them to take the complete authenticity of your eCommerce store and maintain it in the other platform as well.Responsive We are all aware that people like to shop on the go; not at the stores but on their mobile phones.When you are developing an eCommerce store; consider responsive website design services as it is necessary for your store to be responsive according to the screen of the user’s device; with WordPress, this is very much possible.A responsive web design agency knows all the elements that a responsive website requires, and they can help in maintaining the exactness of the features which are there on the store on the desktop website.WordPress supports the features of mobile-friendliness in its development as it is inbuilt in its code which you don’t need to modify but only optimize as per your requirements.Access to Analytics and statistics WordPress comes with the features allowing the user to access the analytics and statistics about the complete online activity.It helps you understand the result of your optimization strategies as well as modify or replan accordingly.Innumerable themesWordPress as a CMS is renowned for the number of creative and innovative themes that it provides in its interface to use.If you cannot afford any Wordpress development design services; No problem at all. You can use the built-in themes that WordPress already have in the platform. It gives the user an ocean of options to choose the correct theme for a standard business website or the online store.Scalability  Once you start your business, there is no way back. You aim at growing in all aspects of your business and work rigorously with all your potential in that direction.However, while you are applying several strategies, you use your website and the online store as your tools which get a whole lot of load from your business aspects.Your website needs to be healthy and scalable enough to walk shoulder-to-shoulder with you on your journey of growth.Thus, WordPress comes up with the features supporting scalability.No matter how many numbers of web pages you add up to your website or features to your online store; WordPress can handle that pressure and still perform the best.That is why many top eCommerce development services opt for WordPress when asked.Are you ready to build an E-commerce website with Wordpress?Moreover, there are still many features in WordPress that will please the readers’ hearts and minds and make them understand that it is the best for eCommerce website development.Learning it is easy, and it is available for free as well; however, it is quite essential to understand that there are lots of security threats revolving around WordPress because it is commonly well-known.It is quite advisable to hire experienced WordPress development design services those are efficient enough to combat all the threats and provide you long-lasting and top eCommerce development service.
Rated 4.5/5 based on 11 customer reviews
How is WordPress useful for building an E-commerce Website?

How is WordPress useful for building an E-commerce Website?

Blog
Nowadays, it has become kind of an unsaid rule that if you have a business, you need to have a compelling online representation for that as well. In which, eCommerce Website Development plays an equal...
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How is voice recognition affect Internet of Things (IoT) development?

Introduction It is stunning how innovation has changed the world since the beginning of the new millennium. We have advanced from the Stone Age and have ushered into the digital age. The pathway from the earlier forms of 'Internet' leading to the current unhindered internet, has been incredibly brisk. Innovation has achieved a degree where each savvy contraption has its own extraordinary and distinguishing proof or UID's. Every movement on the internet can be monitored easily primarily by utilizing exceptional identifiers.Presently, numerous individuals can undoubtedly speak with others over long distances with the help of a smart device, and this is an extraordinary thing. What appeared divination two centuries back, has turned into an everyday schedule just to take a break. Not to mention individuals, did you realize that even the savvy gadgets we utilize will, in general, speak with one another?An arrangement of interconnected gadgets regardless of whether mechanical or advanced machines, can exchange information over the system with no human intervention is set up. This is known as the 'Internet of Things' or IoT development. Physical gadgets can be associated with modules which will enable them to exchange information among themselves. These modules can likewise be utilized to hand-off directions and controls to the machines crosswise over separations by using Wi-Fi and infrared signs. Voice Recognition for the Internet of Things  Hollywood motion pictures have set the pattern for tech organizations to create and overhaul voice-enacted frameworks. Science fiction and superhuman films have spiked individuals' creative ability with a variety of voice-driven innovation. Tech goliaths and engineers have willingly volunteered to make these advances a reality. These days, applications and software are modified with artificial intelligence and machine learning which have codes on how to perceive voice commands. Such applications break down the instructions and anticipate future results and client conduct. Applications like Siri and Alice have set another benchmark after effectively incorporating voice recognition. This innovation makes it exceedingly simple for clients. What each of the ones needs to do is address the gadgets for playing out a plethora of commands? Insights demonstrate that over half of the families in the United States utilize voice-driven directions for making to online purchases. The Voice recognition and Internet of Things has altered business center and buyer expectations. Voice commands have changed the quite a lot of business sectors and how they operate. The progressions are critical and more redesigns are as yet being taken a shot at. Voice IoT Applications development technology The following is a rundown of business sectors which has changed with the utilization of voice recognition. Now, let's see the impact of voice recognition on IoT development.Application of Speech Recognition in IoT development Home automation The IoT Applications development technology has extended past smart devices. There is likewise a framework set up, whereby physical and mechanical gadgets can be merged with electronic gadgets. These gadgets incorporate sensors and actuators. Sensors and actuators perceive computerized flags and convert them into movement. This is the crux of voice-activated gadgets. These modules additionally make it conceivable to get to a physical device on the web. It is common to speak with these physical gadgets on the web and hand-off directions over the internet with the assistance of Wi-Fi signals. One of the seething patterns in the tech world today is Home Automation. The interest in tech-savvy and smart homes has ascended unbelievably. Tech organizations are working out minimal effort arrangements that would empower clients to control their home appliances just by talking with them. It could be where you can turn on the TV basically by speaking to it. Cooking can be changed with the assistance of voice-activated Microwave Owens. Home automation is a standout amongst the most developing sectors of the 21st century.Automobiles  The Automobile sector has additionally begun embracing new innovations to make their vehicles much all the more interesting and engaging. Indeed, even the prospect of owning a vehicle you can talk with would make an auto lover insane. A large number of the vehicle manufacturers have coordinated in-vehicle interchange frameworks along with a voice recognition software. This makes it simple for the clients to control all the electronic features in the vehicle with the assistance of voice-activated guidelines. This innovation is still in the nascent stages, and there is a considerable extension for development. The voice recognition software is modified intricately to understand a various arrangement of directions. Designers are striving to expand the number of directions that the vehicle would comprehend it. As of now can make outbound calls and answer inbound calls with the utilization of voice recognition. Other electronic directions incorporate dealing with the cooling and the temperature within the vehicle. It is likewise possible to create and manage music playlists while driving with the help of voice commands. Voice recognition has in a way redefined the world for automobile fanatics.Health Care The human services sector has reformed with present-day medications and treatment strategies. Presently, healing centers and facilities are turning towards recently structured innovative applications for help. Doctors and physicians have additionally begun to expand their reliance on present-day innovation, not just with the utilization of new machines and medications yet besides by joining this innovation into their everyday tasks. Numerous doctors utilize the text to speech feature all the time. The speech to text empowers the doctors to make a note of the more significant part of the therapeutic records without handling much-printed material. Recording points of interest and particulars in a gadget is less tedious than recording it in large folders and files. Data about the restorative state of the patient, diagnosis, treatment methodology, and even recuperation can be adequately recorded with the utilization of speech to text highlights. This significantly affects the healthcare institutions since it saves a ton of time with the printed material. It is likewise conceivable to save the sound record as the draft and utilize the revised text document for reference purposes. The vast majority of this data can be effectively stored on the web and can be gotten to from any savvy gadgets. Dealing with various records likewise turns out to be simple.Entertainment The entertainment industry has changed over the last couple of years. We have seen the onset of flat screen TVs and home theatre systems. Numerous unmistakable organizations like Amazon, Google, and Apple are investigating the utility of voice directions to enhance the benchmarks in media outlets. For examples, entertainment items like Amazon Fire TV and Amazon Dash have inbuilt voice-activated features. Many items monitor client propensities and oversee the general usage trends of the client. There are a few examples where the gadget additionally offers the client proposals dependent on the recently recorded client inclinations.  The Internet  This is unquestionably where voice recognition has made plenty of waves. The internet is gradually helping clients around the world to keep pace with the voice recognition innovation. Vast numbers of the web surfers have turned towards voice commands. It is extremely comfortable to search the internet for information by utilizing applications like Siri, Cortana, and Alexa. A few specialists are of a belief that from 2020, the vast majority of the clients will use voice on the internet rather than the conventional technique. A few engineers are attempting to make confirmation modules that utilization voice recognition. This thought exclusively flourishes with every individual having a different and exceptional voice. Based on this, a large number of clients can utilize their sound as a method of verifying access to anchored data.Investigating arrangements  All items and brand brag of having a customer benefit hotline. These hotlines are commonly connected to IVR or Interactive Voice Responses. The IVR goes about as the first pitstop before transferring a customer to the consumer service executive. The IVR talks the customer through different choices. The customer only needs to adhere to guidelines for getting a goal to their inquiries. This definitely decreases human intervention. The IVR plays the role of converting speech to text in IoT Development. The IVR is additionally valuable for occupying and directing calls dependent on client inputs. New forms of IVR are being created for various local dialects. This would enable the customer to utilize regional dialects as voice inputs along these lines connecting with a more extensive, non-English talking group of onlookers.
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How is voice recognition affect Internet of Things (IoT) development?

How is voice recognition affect Internet of Things (IoT) development?

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Introduction It is stunning how innovation has changed the world since the beginning of the new millennium. We have advanced from the Stone Age and have ushered into the digital age. The pathway ...
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How is Augmented Reality Shaping the Future of Design Industry?

Tom Caudell came up with the word augmented reality in 1990. He was a Boeing researcher and thus he used this word to describe the how pilots have a digital display to help them in navigation but in these years things have transformed of how we view things and augmented reality has also been changed in this time.AR is improving and innovating day by day and from navigation to even the industry of designing everything has been catered by augmented reality.Augmented reality in simple words is a technology that is about computer generated image which makes the view of the user about the real world to be replaced. This makes a composite view to be seen and is thus said that this is an interactive experience. The augmented reality, unlike virtual reality, does not change the whole thing but it only changes the environment to make the people have a bridge between the virtual simulation and reality.It has been said that with only 20 years augmented reality has taken over a number of fields like education, retail, construction, designing and such other. We can see free logos maker that makes us able to prepare a logo on real-life environments and thus it could be said that augmented reality has been a great impact on the field of designing.Well, if we talk with respect to UX design and augmented reality. It could be said that augmented reality goes beyond the boundaries that are traditional. The UX design will have to adapt to make these changes to be incorporated in the structures and from 2D to 3D everything will change in the designs.It is said that through the induction of AR people will have a more gratifying experience in the same devices that they used previously and it will make them think about different things with different perspectives. One of the things that could be included here is about making the websites and applications to be made in such a way that people can view it in real life environments. This will increase the experience of the consumers as it will be more personalized as well as interactive. This real-life environment designs could only be possible with the augmented reality. The world has started to contemplate on the testing of augmented reality in order to make the online catalogs to have something interesting with respect to designs of the websites and making them able to share the real-life environments with the customers or target audiences.If I talk about the logo designing more specifically I have seen that the logo makers that have been launched in the recent days have been one of the great developments. These free logos maker has helped the world a lot with respect to business marketing and other sectors as well. Well, these logo makers too could be said to be impacted by the augmented reality. It has made them able to design the best logos with even 3D experiences. Especially when it comes to gaming logo design the augmented reality could be really helpful in making the best logos with animation and 3D effects to give people the ideas about real-life experiences in logos and gaining their attention towards the product. However, it should be taken into considerations that if the designs have vague purposes and objective augmented reality would not be a good idea then and the things with a clear content or idea could only be made through augmented reality. This enables the first-hand experiences of the clients and the personal experiences of the design has made people be more indulged with the products. Well, augmented reality is a concept that you can get more clearly by seeing things or using the things that have been impacted by it. Reading articles will only give you an idea about it but using or experiencing it will exactly tell you about why it has been projected so successful in the future.Conclusively it is stated here that augmented reality is changing the world around with making people have through real environment experiences in different dimensions and companies have started to make contemplations on giving people the same.The designing industry has been made more real and more interactive through the augmented reality and it could now be said that people could try things before they buy it. But with respect to logo specifically, it is said that the augmented reality has inducted a sense of making the logo to be seen with more dimensions which increases the perspectives for viewers. Now conceptualization has been made easier with the inclusion of augmented reality in the field of logo designing. It has shaped the future of the field of logo designing in such a way that now people have higher expectations from the logo makers as well as the logo makers aim to fulfill those expectations.    
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How is Augmented Reality Shaping the Future of Design Industry?

How is Augmented Reality Shaping the Future of Design Industry?

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Tom Caudell came up with the word augmented reality in 1990. He was a Boeing researcher and thus he used this word to describe the how pilots have a digital display to help them in navigation but...
Continue reading