How to Install Node.js on Mac
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How to Install Node.js on Windows
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How to Upgrade to the Latest Version of Node Js (Linux, Ubuntu, Osx, Others)
By Ankit ShrivastavJust 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 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 .’ 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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Top Artificial Intelligence Implications You Can’t Ignore in 2019
By Hamas HassanArtificial 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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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...Continue reading
Hadoop and Its Core Features: The Most Popular Tool of Big Data
By Vindo Kumar KasipuriIf 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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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...Continue reading
Native vs. Cross-Platform Apps – You’ll Be the Winner
By Megan DennisNative 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 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...Continue reading
How AR can Help Improve Customer Engagement in eCommerce?
By Naiya SharmaThe 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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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 ...Continue reading
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...Continue reading
Amalgamation of BI and deep learning helps companies grow beyond imagination?
By James NexsoftsysMachine 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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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 ...Continue reading
Augmented Analytics: New Wave of Data and Analytics
By Amarendra Babu LToday, 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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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...Continue reading
How is WordPress useful for building an E-commerce Website?
By Manan gNowadays, 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.
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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...Continue reading