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  • 1
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      ["id"]=>
      string(4) "6180"
      ["title"]=>
      string(50) " How Cognitive Computing Will Disrupt HR Processes"
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      string(242) "

    The impact of cognitive computing in HR management will enable leaders to get useful information and improve decision-making for their operations.

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    Although often used interchangeably, AI and cognitive computing differ from each other. AI enables machines to simulate human intelligence by learning, reasoning, and self-improving. Cognitive computing, in addition to doing all that, also allows machines to emulate human intelligence by providing AI a more human, emotional touch. In simpler words, they can be distinguished by the approaches they take. AI takes a logical approach, and cognitive computing takes a more human-centric approach to assist people in decision-making.

    The ability of cognitive computing to provide human-emotional intelligence makes it a perfect match for people-centric functions like marketing strategy development, facility management, and HR management. Cognitive computing in HR management will help HR leaders to make better decisions to meet all the requirements of employers as well as employees.

    The Impact of Cognitive Computing in HR

    Cognitive computing has the potential to transform HR management by assisting HR personnel right from hiring to developing talent to maximize their productivity in an organization.

    The Impact of Cognitive Computing in HR

    Recruiting Best Talent

    Acquiring the best talent starts with sourcing them. Although HR professionals know they can find talent through job boards or social media, acquiring them can still be both challenging and time-consuming. Manually screening resumes still remains a major challenge for HR professionals in talent acquisition. And to aid the recruitment process, HR managers have implemented AI systems to automate the screening process.

    This has helped HR managers save a lot of time and focus more on deciding whom to hire. AI takes the logical approach and hence can find the right talent based on their skills and work experience. For instance, if a candidate has worked as a sales agent, AI systems will suggest hiring that candidate for the same position. AI can help hire the right candidate based on organizations’ requirements. But, what traditional AI cannot help with is hiring based on organizations’ culture. For example, some organizations require candidates who can work in a team. And, some others require candidates who can work independently and individually. Cognitive computing can analyze candidates’ social media activities to suggest the best cultural fit. For instance, if a candidate is socially active and loves to interact with new people, then he can be a better fit for team-work tasks. Thus, cognitive computing can suggest candidates not only based on their skills and abilities but also based on their behavior.

    Developing Hired Talent

    Acquiring the right talent is just the beginning of HR managers’ responsibilities. They also need to develop hired talent. Every organization follows different processes to achieve their end goal. And, HR leaders have to make sure that the newly hired candidate quickly adapts to these processes. Lack of development in hired talent can result in a skills gap. AI is already revolutionizing corporate learning by providing personalized learning paths, building content at scale, and measuring training effectiveness. AI systems can monitor how an employee performs a specific task to detect the problems he or she is facing while performing that task. Based on such considerations, AI systems can develop a personalized learning path for that candidate. But if candidates are not interested in their job functions, then developing personalized learning paths is not of much use. And, that’s where cognitive computing comes into the picture to enhance talent development.

    Cognitive computing systems can take into consideration factors such as employees’ objectives, interests, and skills gaps to provide more personalized learning paths. They can analyze all such information to suggest which employee will be best suited to bridge a particular skill gap. And, cognitive systems can also create learning paths based on their learning abilities. Along with assisting HR leaders in developing talent, cognitive computing can provide career guidance to employees. For example, based on employees’ objectives and interests, cognitive systems can suggest appropriate positions available in an organization.

    Measuring Employee Engagement

    There are several reasons for HR personnel to measure employee engagement. Measuring employee engagement will help them to create a more satisfied and engaged workforce. Employees who are engaged are less likely to look for a job change. And they are more likely to refer friends for employment and be satisfied with their jobs. AI has been helping HR professionals to measure employee engagement with the help of real-time feedback gathering tools, chatbots, and behavioral mapping. Cognitive computing can achieve all these, and it can also analyze employee sentiments to measure accurate engagement. For instance, using deep learning, AI systems can detect employee emotions based on patterns and training data. But expressions cannot always convey the feelings of people. For instance, a smile on a face does not always mean that the person is happy. Also, AI takes a logical approach and provides quantitative results. But emotions are hard to quantify and measure, which makes it more challenging for AI systems to find accurate measurements. Unlike AI systems that generalize everyone and give results based solely on historical and training data, cognitive systems can individualize a person. For instance, cognitive computing systems can potentially detect when a generally straight-faced person is happy or sad. This is accomplished with the help of computer vision and natural language processing (NLP). Computer vision detects slight changes in facial expression, and NLP with voice detection can analyze the vocal tone of employees to accurately measure employee engagement. Cognitive computing systems can store such data about individual employees for future references. HR managers, with the help of accurate measures, can enhance employee engagement at the workplace. This will enhance employees’ confidence, motivation level, comfort, and interactions, which will ultimately benefit organizations.

    Assisting in Administrative Tasks

    HR managers have to answer several queries from existing and potential employees on a daily basis. And cognitive computing-based tools can help answer these questions for HR leaders. With the help of voice recognition and NLP, cognitive systems can understand the queries and provide the most appropriate response. The biggest example of cognitive computing capabilities to answer queries is IBM Watson.

    Cognitive computing systems can also analyze a massive amount of employee data to assist HR managers in workforce administration. For instance, cognitive computing can suggest the most appropriate time to hire a new candidate based on the workflow. It can also suggest transferring employees from one process to another based on the workflow and candidates’ interests. Even AI systems can help in such administrative tasks. But AI can only show which employees to transfer and to what processes. Cognitive computing, on the other hand, can give outputs like AI systems and provide information on why to transfer those employees.

    AI and cognitive computing in today’s world are eliminating the need for humans in repetitive manual tasks. But, HR managers are safe from being replaced by the disruption of these technologies. That’s because HR management is a human-centric process that thrives on human-to-human interaction. Although businesses can implement machines for every HR process-related interaction, employees won’t prefer interacting with machines all the time. It will neither be healthy for employees nor sustainable for employers. Hence, cognitive computing in HR management will play an assistive role and not eliminate the need for HR managers.

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    How Cognitive Computing Will Disrupt HR Processes

    Naveen Joshi
  • 2
    object(stdClass)#14538 (59) {
      ["id"]=>
      string(4) "6172"
      ["title"]=>
      string(34) "Blockchain Technology and COVID-19"
      ["alias"]=>
      string(34) "blockchain-technology-and-covid-19"
      ["introtext"]=>
      string(260) "

    COVID-19 has impacted countries, communities and individuals in countless ways, from school closures to healthcare insurance issues not to undermined loss of lives.

    " ["fulltext"]=> string(8802) "

    As governments scramble to address these problems, different solutions based on blockchain technologies have sprung up to help deal with the worldwide health crisis.

    Blockchain Technology and COVID-19

    COVID-19 (Source: ABC7)

    A blockchain is an essential tool for establishing an efficient and transparent healthcare business model based on higher degrees of accuracy and trust because technology is a tamper-proof public ledger. Blockchain will surely not prevent the emergence of new viruses itself, but what it can do is create the first line of rapid protection through a network of connected devices whose primary goal is to remain alert about disease outbreaks. Therefore, the use of blockchain-enabled platforms can help prevent these pandemics by enabling early detection of epidemics, fast-tracking drug trials, and impact management of outbreaks and treatment.

    But before we explore in details the possible ways of using Blockchain to help in fighting this invisible enemy, we need to understand some of the challenges defining this deadly virus.

    Major Challenges of COVID-19

    • One major issue is how prepared the world’s health systems are to respond to this outbreak.
    • Tracking a huge population of infectious patients to stop epidemics. 
    • Another is the immediate requirement for developing better diagnostics, vaccines, and targeted therapeutics.
    • Misinformation and conspiracy theories spread through social media platforms.
    • Various limitations while accessing the tools when required. 
    • No adequate measures to adopt in a crisis situation

    Can Blockchain Help in Preventing Pandemics?

    With Blockchain we can share any transaction / information, real time, between relevant parties present as nodes in the chain, in a secure and immutable fashion. In this case, had there been a blockchain where WHO, Health Ministry of each country and may be even relevant nodal hospitals of each country, were connected, sharing real time information, about any new communicable disease, then the world might have woken up much earlier. We might have seen travel restrictions given sooner, quarantining policies set sooner and social distancing implemented faster. And may be fewer countries would have got impacted.

    What every country is doing now fighting this pandemic, would have been restricted to fewer countries and in a much smaller scale. The usage of a Blockchain to share the information early on, might have saved the world a lot of pain.

    The world had not seen anything like COVID-19 pandemic before in the recent history. Today we need to take a hard look at the reporting infrastructure available for communicable diseases, both technology and regulations and improve upon that, such that we do not need to face another pandemic like this in the future. 

    Blockchain Technology and COVID-19

    Tracking Infectious Disease Outbreaks

    Blockchain can be used for tracking public health data surveillance, particularly for infectious disease outbreaks such as COVID-19. With increased blockchain transparency, it will result in more accurate reporting and efficient responses. Blockchain can help develop treatments swiftly as they would allow for rapid processing of data, thus enabling early detection of symptoms before they spread to the level of epidemics.

     Additionally, this will enable government agencies to keep track of the virus activity, of patients, suspected new cases, and more. 

    Donations Tracking

    As trust is one of the major issues in donations, Blockchain has a solution for this issue.

    There has been a concern that the millions of dollars being donated for the public are not being put to use where needed.

    With the help of blockchain capabilities, donors can see where funds are most urgently required and can track their donations until they are provided with a verification that their contributions have been received to the victims. Blockchain would enable transparency for the general public to understand how their donations have been used and its progress. 

    Crisis Management

    Blockchain could also manage crisis situation. It could instantly alert the public about the Coronavirus by global institutes like the World Health Organization (WHO) using smart contracts concept.

    Not only it can alert, but Blockchain could also enable to provide governments with recommendations about how to contain the virus. It could offer a secure platform where all the concerning authorities such as governments, medical professionals, media, health organizations, media, and others can update each other about the situation and prevent it from worsening further. 

    Securing Medical Supply Chains

    Blockchain has already proven its success stories as a supply chain management tool in various industries; similarly, #Blockchain could also be beneficial in tracking and tracing medical supply chains. 

    Blockchain-based platforms can be useful in reviewing, recording, and tracking of demand, supplies, and logistics of epidemic prevention materials. As supply chains involve multiple parties, the entire process of record and verification is tamper-proof by every party, while also allowing anyone to track the process.

    This technology could help streamline medical supply-chains, ensuring that doctors and patients have access to the tools whenever they need them, and restraining contaminated items from reaching stores

    WHO and Blockchain Technology

    The World Health Organization (WHO) is working with blockchain and other tech companies on a program to help convey data about the ongoing COVID-19 pandemic, named #MiPasa.

    The program is a distributed ledger technology (DLT) that will hopefully help with early detection of the virus and identifying carriers and hotspots.

    MiPasa is built on top of Hyperledger Fabric in partnership with IBM, computer firm Oracle, enterprise blockchain platform HACERA and IT corporation Microsoft. It purports to be “fully private” and share information between need-to-know organizations like state authorities and health officials.

    Described by creators as “an information highway,” MiPasa cross-references siloed location data with health information. It promises to protect patient privacy and to help monitor local and global trends such as the virus that has now sent the world spiraling into chaos and uncertainty in recent weeks.

    The U.S., European, and Chinese Centers for Disease Control and Prevention, the Hong Kong Department of Health, the Government of Canada and China’s National Health Commission have all worked with the project

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    Blockchain Technology and COVID-19

    Ahmed Banafa
  • 3
    object(stdClass)#14540 (59) {
      ["id"]=>
      string(4) "6168"
      ["title"]=>
      string(61) "Cross-platform Development: React Native v/s Xamarin or Ionic"
      ["alias"]=>
      string(60) "cross-platform-development-react-native-v-s-xamarin-or-ionic"
      ["introtext"]=>
      string(126) "

    Most of the businesses are developing apps that should work on Android and iOS.

    " ["fulltext"]=> string(14683) "

    This is the main reason that people choose cross-platform solutions. You can always choose multi-platform development and can build the app having a small team and can release it quickly. There are so many cross-platform frameworks available online but it depends on you to choose the best one available.

    Cross_Platform_Development.png

    Which one is better - React Native - Xamarin - Ionic? Let’s read the full article to understand the three of them in detail.

    What is Cross-Platform Development?

    Cross-platform development can be defined as the practice of building software products and services for various platforms or software environments. Developers always use different ways to accommodate diverse operating systems or environments for any one product or app.

    Rather than creating different versions of the app, you can opt for cross-platform app development that will efficiently run on all the platforms. Using the cross-platform development method, developers can use the same code and can deploy it on multiple platforms in one go.

    Advantages of Cross-Platform Development

    • It supports a single codebase that developers can export to the various operating systems.
    • The single codebase that has been shared helps developers to provide the same look and feel and experience for all the platforms.
    • Cost-effective and helps in saving resources because only one developer’s team works on the app development instead of multiple teams.
    • Fast developments that save a lot of time.
    • It helps the developers to boost increase their market reach without making much effort.
    • Increase the chances of getting a huge number of downloads and users.

    Disparages of Cross-Platform Development

    • Doesn’t integrate easily with respective platforms
    • Don’t have continuous communication among native and non-native elements
    • Decrease the speed of the app and lower down its performance
    • Several integrations and native-only features which are not available in cross-platform applications
    • Cross-platform development does not include all the features provided by each platform and hence developers can look for some other options
    • These modules need some time to get updated with the latest features and updates which are launched by these platforms.

    Important Attributes You Need to Consider While Choosing Cross-Platform

    • Programming Language

    React Native uses JavaScript which is the most popular, high-level and dynamic programming language.

    Xamarin uses C# with .NET environment for developing iOS, Android and MAC applications.

    Ionic makes use of HTML5, CSS and JS for developing and running applications and it needed Cordova wrapper for accessing native platform controllers.

    • Code and Performance

    Xamarin suggests 2 different approaches for creating mobile applications and they are -

    1. Android and Xamarin.iOS
    2. Forma

    React Native apps can share their JS code up to 80-90%. Its performance is a little close to native and it renders code components directly to the native APIs with the help of JavaScriptCore Virtual Machine for Android and iOS both. Also, React Native App Development Services allows Native iOS and Android modules which are written in Objective-C and Java.

    Ionic make use of web technologies for renewing apps and it never uses native components while trying to replicate native behavior when using web technologies. For connecting the app with native APIs, Ionic makes use of Native Wrapper Cordova and adapts app behavior to the underlying platform.

    • Graphical User Interface 

    Just like Xamarin uses two approaches, it allows developers to build the user interface in two ways i.e Xamarin.Android/iOS or Xamarin.Forms.

    The modules of React Native communicate with native iOS and Android US controllers that enable user experience very close to native applications. ReactJS library with extensive UI components can streamline the whole UI development. This is the reason that React Native app development consists of many different UI components that are out-of-the-box like sliders, modules and buttons that help the app developer to work faster.

    Ionic does not contain any native component and it renders everything in HTML and CSS. It uses Cordova for recreating native mobile app behavior. Also, it comes with new native-styled UI elements and layouts that were not present on the web earlier.

    • Coding, Building and Debugging

    If you are working on Xamarin, then you would be required to install Visual Studio for developing, building and debugging applications. It is considered as the most famous and robust IED if developers are working with C# or .NET related projects.

    Ionic uses visual Studio Code in it which comes free distributive powered by Microsoft. Developers will need to perform some kind of tricks for debugging from the Visual Code directly.

    React Native is quite similar to Ionic concerning the coding and building process. Developers can make use of Visual Studio Code, ALM, WebStorm, Atom when setting up the same environment for debugging on a device and deploying to the app stores.

    • Market and Community 

    React Native has the best recognition in the market and community. Its network of developers is growing vastly and has many experienced React Native Engineers. This helps to kick start any React project quickly and without much effort. It uses an amazingly popular library which is React the most important web development language i.e, JavaScript and delivers real native applications. These are the qualities that make it a strong and independent platform.

    Ionic is considered as the second most popular framework after React Native. It helps developers to create native mobile applications in the fastest manner.

    Xamarin is a quite popular framework and Microsoft is still putting much effort to grow the Xamarin community.developers working inside the Microsoft ecosystem can begin working with the innovation because of its active support.

    • Code Reusability 

    React Native uses native components that are written in Objective-C, Java or Swift for enhancing the app performance. These native components can not be reused over any other platform. Developers will need to work for changing the particular database. You will need to accept these native components which are left of the codebase that can be re-used.

    Xamarin does not need to switch in between the development environments. All types of Xamarin apps are built-in visual studio. You can reuse 96% of source code with Xamarin.forms that help in speeding the development process.

    Ionic has an essential part in the app development process and i.e. its universality. No matter which OS you are working on, it will work the same for each of them. Some UI components need to be changed as per the rules dedicated by each platform and this will require extra efforts.

    Popular Apps

    Popular apps built using Xamarin

    • Storyo
    • Just Giving
    • The World Bank
    • Olo
    • Insightly

    Popular apps built using Ionic

    • Amtrak
    • Boehringer Ingelheim
    • Panera Bread
    • AAA
    • National Health Service

    Popular apps built using React Native 

    • Facebook Ads Manager
    • Bloomberg
    • AirBnB
    • Gyroscope
    • Myntra

    Below is the list of some of the popular cross-platform software

    • React Native
    • Xamarin
    • Ionic
    • Flutter
    • Appcelerator
    • Adobe PhoneGap
    • Corona
    • Qt
    • Sencha
    • Unity3D
    • 5App

    About React Native

    React Native was launched by Facebook in 2015. There got a boom in the market for hybrid frameworks. Within just a few days of its launch in the market, it has become the most popular framework in the market among all other cross-platforms.

    Below are some Pros and Cons of React Native

    Pros

    • You can share 80% of its codebase across platforms which depends on the complexity of the app
    • It allows you to preview results instantly and offer ready-to-apply elements for lessening the whole development time
    • It has an awesome hot reloading feature that helps developers to see all the changes which were made in the code in just seconds when using native technologies
    • It focuses on UI to a great extent having a highly responsive interface

    Cons

    • It is not a fully cross-platform app framework because for using some functions like accelerometer or camera, you need to make use of native components and there will be a separate code for iOS and Android.
    • React Native framework is not built n conjunction with Android or iOS as it lags behind the native platform.
    • When it comes to releasing the updates, it lacks consistency.
    • React Native has a fast speed of development but slow debugging process especially for Android.

    Popular applications built on the React Native technology 

    • Instagram
    • Bloomberg
    • Pinterest
    • Skype
    • Tesla

    About Xamarin 

    Xamarin is an independent cross-app development framework which was launched in 2011 and was later acquired by Microsoft in 2016. Xamarin is an open-source framework that was specially launched for solving the disjointed native technology stacks problems that made mobile app development difficult and expensive.

    Below are some Pros and Cons of Xamarin  

    Pros

    • Xamarin app development makes use of C# for the coding purpose and it works seamlessly on an array of platforms the include Android and iOS.
    • It has a strong community of more than 60,000 contributors from around 3,700+ companies.
    • It can share 75% of its code across the various platforms that follow “write once, run anywhere” strategy.
    • It has a single tech stack for swift development.

    Cons

    • Xamarin is an expensive framework when it comes to using by startups or individuals. Enterprises can buy a license for Microsoft’s Visual Studio.
    • It is not recommended for applications that demand huge and heavy graphics as each platform has an adverse method for visual laying out screens.
    • Xamarin offers limited access to some of the important libraries that app developers need for mobile app development.
    • Xamarin’s user interface is not mobile and that’s the reason the creation of the UI is time-consuming.

    Popular applications built on the technology 

    • Fox Sports
    • Alaska Airlines
    • HCL
    • American Cancer Society
    • BBC Good Food

    About Ionic 

    Ionic an open-source cross-platform app framework which is licensed under MIT. Ionic uses HTML5 for translation and is very similar to AngularJs in the design and structure. Also, Ionic inherits a few design elements from Android and iOS. It gives you a full option for building native-like hybrid apps for iOS and Android and also for progressive web apps.

    Here are some Pros and Cons of Ionic  

    Pros

    • It is based on a SAAS UI framework that is designed specifically for mobile operating systems. It offers multiple UI components for creating robust apps.
    • The framework allows you to ship continuously i.e. from automating native builds to live updating and CI/CD, Ionic App flow addresses the whole mobile DevOps lifecycle.
    • Ionic is backed by a vibrant community that has more than 5 million developers in more than 200 countries.

    Cons

    • If you want to go beyond the basic apps in that case the knowledge of AngularJS will help to do that.
    • The designing of in-app navigation is a little bit complex because of its complicated UI-router.

    Popular applications built on the technology 

    • IBM
    • ING
    • SAP
    • NASA

    Comparison Between React Native v/s Xamarin or Ionic

    Cross Platform  

    Credit: www.intuz.com

    Conclusion 

    It is difficult to decide the best cross-platform development among these three platforms i.e. Ionic, React and Xamarin. The three of them have their features, advantages, specialties, and profits of using them for mobile app development. It’s totally up to you that which cross-platform suits your app development need as per your business area.

    Intuz had tried our best to portray all the details about these three cross-platforms. If you are looking for the best cross-platform development services, then you must find out the best company providing the top Android and iOS app development services using the React Native development services. Hire React Native app developers who are well-qualified and skilled to manage your project successfully. For more information, check this detailed guide on React native development.

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    Cross-platform Development: React Native v/s Xamarin or Ionic

    Anas Bouargane
  • 4
    object(stdClass)#14608 (59) {
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      ["title"]=>
      string(65) "Why Businesses Need to Integrate Cognitive Computing in their CRM"
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    Implementing cognitive CRM instead of a traditional CRM tool will help enterprises add the human element that is necessary for systems managing customer relations.

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    We are all aware of the benefits of CRM software. They integrate every data in a single place, bringing centralization. Also, the data can be accessed remotely with cloud capabilities. Although CRMs are used for marketing purposes, they lack the human touch that is essential in such activities. A traditional CRM follows a basic set of instructions depending upon the data fed and functions like a machine without any intelligence of its own. They thus fall short in handling customer relations. Cognitive CRM proves to be much more effective as it adds human reasoning that is required when dealing with customers.

    The Benefits of Cognitive CRM

    Analysis of human emotional states: Cognitive CRM systems with NLU and NLP capabilities can analyze the tone of the voice of the customer and understand human emotions. Based on it, the CRM system can offer real-time guidance to agents to better converse with customers. 

    The Benefits of Cognitive CRM

    Engagement with customers: Cognitive CRM tools can follow-up with customers based on their responses on emails and other communication methods to determine the best time to call or message customers or to send follow-up responses to emails based on the customers’ reply.

    Reduction in customer complaints: Cognitive CRM tools deliver relevant and easily understandable solutions to common cases related to the industry, autonomously. The customer care executives don’t have to spend their time on common issues as cognitive CRMs reduce the number of complaints that reach customer care executives.

    The Roadblocks to Cognitive CRM Implementation

    The need for large volumes of high-quality data: Cognitive computing solutions require a huge amount of well-structured, high-quality data to work. If a low amount of data is available, or if the data is unstructured and of low quality, the cognitive solution is of little value. However, a large amount of data is already available regarding human cognition, and the amount of data keeps increasing with use.

    The cost of implementation: Naturally, cognitive CRM solutions prove costlier than traditional CRM. Thus, employing cognitive CRM might not be feasible for small and medium scale enterprises. Agreed that cognitive CRMs are costly, but organizations can expect a better ROI over time with CRMs when compared to traditional ones.

    The never-ending question of ethics: There is a fear among individuals that CRMs may completely replace the human workforce. However, cognitive computing technology acts only as an assistant to humans and is beneficial for guidance purposes only. Cognitive computing is the next step in artificial intelligence and machine learning. Using CRM will enhance the way enterprises manage customer relationships. Enterprises can look for methods to integrate cognitive computing into their existing CRM solutions. Or they can deploy new solutions altogether, replacing the existing one. They can use other technologies like blockchain in CRMs in conjunction with cognitive computing. Irrespective of the choice, enterprises should partner with an experienced service provider to ensure a smooth transition to a intelligent CRM model.

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    Why Businesses Need to Integrate Cognitive Computing in their CRM

    Naveen Joshi
  • 5
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      ["title"]=>
      string(42) "How Big Data Can Drive Mobile Applications"
      ["alias"]=>
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      string(164) "

    Businesses and developers can leverage big data in mobile app development to understand end-users, develop marketing strategies, and generate more revenue.

    " ["fulltext"]=> string(4704) "

    According to a study, 63% of customers want personalized product recommendations. In today's world, where customers themselves prefer personalized product recommendations, big data helps in understanding them and creating those tailored products. These products, among other things, also include software like web-based applications. As a result, developers do not have to put in much of their own thoughts and creativity for developing a web-based application as they can process a huge amount of data to understand what customers need. And this understanding helps in faster web-based application development. Big data also facilitates better and accurate traffic analysis that further helps in developing strategies to improve applications. But now, mobile application adoption is growing. According to a survey, 204 billion apps were downloaded worldwide in 2019. And that doesn't come as a surprise because every web-based application available today can be easily converted to a mobile application. There are also several applications that are developed solely for mobile and do not exist as web-based applications. Mobile applications also provide additional benefits over web applications. For instance, mobile applications can track users' live location, fitness data if linked to a wearable, and provide real-time collaboration with them. Businesses can leverage big data in mobile app development to combine the benefits provided by each of them.

    The Role of Big Data in Mobile App Development

    Mobile app developers can use big data for understanding end-users and creating marketing strategies accordingly. They can also provide personalized recommendations to customers based on preferences, demographics, and locations.

    The Role of Big Data in Mobile App Development

    Marketing Products

    Mobile applications allow businesses to pitch in their products through push or email notifications. But, they cannot send notifications for any random products. Real-time big data access will help businesses to understand what products to pitch in through push notifications at the right time. Big data also provides opportunities for businesses to understand customers' needs and offer tailored products. It also helps to create marketing strategies about what kind of email notifications to send to users.

    Understanding End-Users

    With the availability of big data about preferences, demographics, and locations of end-users, developers can understand their needs. Big data also fuels developing user experience analytics. And based on the experience analytics, developers can create app updates to enhance the user interface. Changing the user interface based on experience analytics enhances user engagement.

    Improving Decision-Making

    As the saying goes, that, "smart decisions are made between choosing what you want now and what you want in the future." And big data is a culmination of business intelligence and predictive analytics. Big data and IoT devices (smartphones) can together provide access to real-time data for predictive analytics that can help to make and improve strategic decision-making.

    Big data is an inevitable part of today’s life, where providing tailored products has become an essential key to business growth. Business giants are already using big data in mobile app development and engagement with users. For instance, Uber is using big data for its mobile application to connect users with drivers in their location and calculate pricing based on travel distance. Amazon as well utilizes big data to know what items a client has purchased before, and provide recommendations of similar and relevant products.

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    How Big Data Can Drive Mobile Applications

    Naveen Joshi

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