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Personalization has taken a new form with the increased penetration of internet and mobile devices. Modern users seek a personalized experience in terms of content and its delivery. They want to learn things at their own pace and expect a training program to go beyond traditional classroom approach. Therefore, your learning management systems (LMS) should focus on offering a personalized experience to your learners. When employees get exposed to personalize learning, they engage and participate on regular basis. So what benefits personalized learning does add to your training as well as your organization? Let's find out: Improves workplace communication For modern learners, professional development and recognition are very important. It helps them to establish their own individual identity in the organization. A personalized learning experience makes them feel valued and motivates them to communicate and ask questions more openly. Such a learning environment improves workplace communication as everyone strives to do better and share their inputs with fellow learners. This not only encourages collective learning but also creates a platform for discussions and collaborations. Therefore, personalized content helps to create a better learning experience for employees, resulting in better communication and engagement. We are moving from traditional training methods to new-age solutions customized for individual needs. New technology and content formats are changing the very nature of daily work. Enables Skill Advancement Today's work culture demands multi skills capabilities, therefore employees should receive personalized training that allow them to enhance their skill set progressively. Organizations can identify the strong and weak points of learners by applying personalized learning and help them to unlock their maximum potential. It builds a broader understanding of a subject or topic as learners keep visiting your learning content frequently. For example, e

Technology is presently evolving at such a rapid pace that yearly predictions of trends can seem to be obsolete before they even go live as a published article blog post. As technology evolves, it empowers much quicker change and progress, causing the increasing speed of the rate of change, until eventually, it will become exponential. The newest member community set up by CompTIA, the leading trade association for the global technology industry, is empowering the selection of new and emerging technologies to enhance business outcomes, however, in a rational, thoughtful way that makes sense for tech organizations and their customers alike. "It's an energizing time for innovation on numerous fronts," said Estelle Johannes, CompTIA's staff liaison to the Emerging Technology Community. Here are Six Technology Trends you should look for in 2019: 1. Artificial Intelligence (AI) Artificial Intelligence, or AI, has effectively received a ton of buzz in recent years, however, it keeps on to be a trend to watch since its consequences on how we live, work and play are just in the early stages. Moreover, different branches of AI have developed, including Machine Learning, which we will go into below. Artificial intelligence refers to computers systems worked to mimic human intelligence and perform tasks for example recognition of images, patterns, or speech and decision making. AI can do these assignments faster and more precisely than humans. By 2020, somewhere around 40 percent of new application development projects will have AI co-developers on their team, Gartner said. 2. Machine Learning Machine Learning is a subset of AI. With Machine Learning, computers are programmed to figure out how to accomplish something they are not programmed to do: They truly learn by finding patterns and insights from data. In general, we have two sorts of learning, unsupervised and supervised. Machine Learning is rapidly being deployed in a wide range of industries, making a

Customer experience has turned into the new battleground for business. With organizations and customers both moving on the web, the competition has turned out to be savage. Customers have access to an incredible amount of data about products and their substitutes. Businesses, then again, approach a lot of user data or possibly they have intended to gather any required information. With such a large number of comparative solutions, customers have made their purchasing experience as a parameter for deciding on purchases. The issue earlier was the limited approaches to enhance customer experience because of the absence of sophisticated analysis tools. Artificial intelligence, Big data, and machine learning have essentially enhanced the customer experience by enabling businesses to analyze their user data. These technologies have acted the hero of business to enable them to maximize the level of customer experience they offer. Here are the 5 ways big data & ML that can be helpful to enhance customer behavior: 1. Emphasis on smooth virtual experience: While making purchases customers give comparable weight to the quality of the product and their experience of making the purchase. Users purchase goods for necessities as well as for their emotional desire. Thus, they lean toward brands who can resonate between perceptual product and self-psychological necessities. By studying user's behavior in different phases of the buying cycle, big data analytics has empowered companies to improvise the customer experience they offer. 2. The role of credibility and reviews: With virtual experiences, there exists a huge range of alternative solutions for an issue. Being stuck within the data overload, customers value more highly to choose the players with best reviews. Reviews have turned into the most important measure of believability. Credibility has earned such gigantic significance that it currently ends up being a price advantage. Customers are probably going to pay a hi

The cross-platform app development is seemingly becoming popular as the stratum of competition is surpassing higher up the order. What's more, without any doubt, React Native has been distinguished as the most preferred cross-platform solution for the creation of both iOS and Android apps respectively. With React Native, you can work on two distinctive Operating Systems utilizing a single platform. React Native likewise demonstrates supportive in building attractive User Interfaces, which can't be recognized from a native app. The React Native might be a popular choice, however, it isn't the best decision as it has a few disadvantages also. Therefore, we would be highlighting the major advantages and disadvantages of the React Native, with the goal that you can a thought when to utilize the platform and when to maintain a strategic distance from it. Advantages of React Native Known for Optimal Performance Obviously, React Native is a genuine resource when it comes to enhancing the performances through native control and modules. The React Native gets associated with the native components for both the Operating Systems and generates a code to the native APIs upfront and freely. Presently the performance enhances because of the way that it makes utilization of a different thread from the native APIs and UI. Large Community of Developers The Fact that React Native is an open-source JavaScript platform where every developer is allowed to contribute to the framework and it's effectively accessible to all. In this way, you can take full advantage of the community-driven technology. The support of a large community is likewise valuable as it enables you to share your portfolios and experiences so that you can go for better coding. There is one platform GitHub React Native Community, which urges the developers to share their experiences at whenever point they learning something new about the React Native. They likewise get the feedback and reviews on the same es

As digital transactions become the definitive method of purchasing goods and services, leading eCommerce firms are exploring how AI can enhance brand competitiveness and customer loyalty. Artificial Intelligence is set to be a game-changer to shape the next stage of the e-commerce evolution. Artificial intelligence provides passel of opportunities to the e-commerce industry where retailers compete to provide the maximum customer convenience, by providing the ultimate shopping experience. With continuous advances in digital voice technology, AI tools such as Alexa, Cortana, and Watson, are gracing headlines almost daily, hinting at the wide scope of opportunities it has to revolutionize eCommerce stores. Here we show 6 amazing applications to use Artificial Intelligence in eCommerce. * Create customer-centric search- By implementing Artificial intelligence in Magento creates purchase assistants that target the right users, with the right messages at the right time.AI programs can rely on self-learning algorithms to deconstruct Bigdata of thousands of customers and create targeted user experiences, hence ruling out any human-bias or error. * Context-based search- Product Search functionality is an integral part of a Magento store as the shopping process begins with the search for relevant products. If Magento individualizes some impressive extensions, they might be nothing as compared to the effectiveness of AI-powered searches. Here usual searches rely on the Keywords entered by the user and only when there is a correct match, your searches will dish out the right search results. But AI-powered product searches will look for the context of the search, utilize the capability of Natural Language Process to generate context-based search terms rather than typical keywords. * Facilitate Purchase Decisions- Purchase Assistants are something that is still not fully released. Using the concept of virtual Purchase assistant we can cut down the time spent by sh

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As the world of mobile apps is expanding beyond comprehension, demand for better and faster apps shoot up. We need applications that perform easily, have a magnificent look, simple to create, and can be implemented rapidly. All these necessities are difficult to satisfy as high performance, related to native apps, set aside enough time for the advancement. Then again, faster deployment, related with cross-platform applications, trade-off, no less than a bit, on performance. Therefore, aching for better languages, tools that help top-notch hybrid apps development, and frameworks keep developers on their toes. One such resolution, which quickly changing the universe of versatile applications is Facebook's React Native. It is a JavaScript library to assemble a UI that enables you to make versatile mobile applications and work easily as native apps. It even gives you a chance to reuse the code over the web and mobile platforms. You don't have to develop for Android and iOS, independently, as one code is sufficient for both the platforms, saving money and time. Let's look at some reasons that point towards React Native taking the center stage in the future. Supports Both iOS & Android - 'Supportive' Because of the two different operating systems which are majorly being used by the customers across the world, the primary challenge for the mobile app development companies is to choose one ahead of the other. But Facebook made it easy by introducing React Native. It supports both iOS and Android making it convenient for the app developers to use the same code for both the platforms without writing it from the scratch. Reusability for better development What makes us to state that REACTS is the eventual fate of application development? It is the reusability of the components. You don't have the Web view components anymore for hybrid apps with React native. The essential code for this framework will easily be reused within the native apps, and you'll easi

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