{"id":6217,"date":"2019-11-06T15:38:47","date_gmt":"2019-11-06T15:38:47","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=6217"},"modified":"2020-11-09T05:58:32","modified_gmt":"2020-11-09T05:58:32","slug":"top-machine-learning-applications-in-mobile-apps","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/","title":{"rendered":"Top Machine Learning Applications in Mobile Apps"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f1662c0a85a\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f1662c0a85a\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Finance_and_Banking\" title=\"Finance and Banking\">Finance and Banking<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Healthcare\" title=\"Healthcare\u00a0\">Healthcare\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Retail_and_ecommerce\" title=\"Retail and ecommerce\u00a0\">Retail and ecommerce\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Advertising_Marketing\" title=\"Advertising &amp; Marketing\">Advertising &amp; Marketing<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\" title=\"Real-World Applications of Machine Learning in Mobile Apps\u00a0\">Real-World Applications of Machine Learning in Mobile Apps\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Netflix\" title=\"Netflix\">Netflix<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Tinder\" title=\"Tinder\">Tinder<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Snapchat\" title=\"Snapchat\">Snapchat<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/#Google_Maps\" title=\"Google Maps\">Google Maps<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-weight: 400;\"><em>Juned Ghanchi writes about the top <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">machine learning<\/a> applications in mobile apps, some of which many of us use on a daily basis. <\/em><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mobile apps, thanks to their all-pervading and all-encompassing role across all spheres of life, have been the subject of several state-of-the-art technologies and innovations. For mobile apps to stand out from the crowd, new technologies are playing an instrumental role. As the demand for personalised user experience is exponentially growing across all digital applications, new technologies like Machine Learning and <a href=\"https:\/\/www.kolabtree.com\/blog\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">Artificial Intelligence<\/a> are playing a decisive role in meeting this demand.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But how can Machine Learning empower mobile apps? ML is being used by mobile app developers to provide enhanced features, ranging from face recognition and person detection to personalized recommendation engines. Here are some interesting machine learning applications in mobile apps.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Finance_and_Banking\"><\/span><b>Finance and Banking<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Predictive analysis in the finance and banking industry is of tremendous significance since the precise prediction of crashes, economic bubbles or trends can help organisations stay clear of the risk factors while optimising growth opportunities. <\/span><b>Insurance startup <a href=\"https:\/\/econsultancy.com\/how-lemonade-disrupted-the-insurance-industry-and-built-a-multi-billion-dollar-business\/\">Lemonade<\/a> has launched a smartphone app, which uses ML and chatbots to provide insurance services.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Healthcare\"><\/span><b>Healthcare\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Healthcare is another crucial sector, where machine learning is expected to play a massive role. From precision-driven diagnosis based upon the user behaviour to making way for more proactive and responsive healthcare based on patient input, this technology can bring a lot of efficiency and reliability to the modern healthcare practices. For certain life-threatening diseases like cancer that demands early detection and diagnosis, proactive learning of the patient&#8217;s symptoms can really play a vital role. Machine learning can also pave the way for more personalised medication and treatment for ailments of different nature. <\/span><a href=\"https:\/\/www.kolabtree.com\/blog\/wearable-technology-changing-the-face-of-healthcare\/\"><b>Wearables<\/b><\/a><b> and their associated mobiles app play are currently playing a huge role, helping to monitor health in real-time and provide feedback.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Retail_and_ecommerce\"><\/span><b>Retail and ecommerce\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In the whole retail sector, including ecommerce stores, knowing customer behaviour and habits play a crucial role. Knowing customer preferences, leanings and intent can help stores to address customer needs and choices more precisely and in a relevant manner. Personalised recommendations based on user inputs can help a store take on the sales opportunities in a more precise manner. Some of the key areas where ecommerce <\/span><a href=\"https:\/\/www.indianappdevelopers.com\/\"><span style=\"font-weight: 400;\">app developers<\/span><\/a><span style=\"font-weight: 400;\"> can really reap the benefit of ML-based insights include product search, recommendations, trend forecasting, promotions, and fraud control mechanism. <\/span><b>An example of a mobile shopping app using ML is ecommerce giant Amazon.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advertising_Marketing\"><\/span>Advertising &amp; Marketing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Several brands are tapping into the power of ML for showcasing relevant ads to targeted users. <a href=\"https:\/\/digiday.com\/marketing\/coca-cola-targeted-ads-based-facebook-instagram-photos\/\">Coca cola,<\/a> for example, uses an image recognition algorithm to automatically detect images of its products when users upload photographs on social media. Based on this information, it then taps into the conversation and generate ads to relevant audiences. Some companies are also using geolocation to show you mobile notifications when you&#8217;re closer to a store you&#8217;ve already looked up products on.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><cite>Read more from Kolabtree: <a href=\"https:\/\/www.kolabtree.com\/blog\/5-companies-using-big-data-and-ai-to-improve-performance\/\">5 Companies Using Big Data and AI to Improve Performance<\/a><\/cite><br \/>\n<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\"><\/span><b>Real-World Applications of Machine Learning in Mobile Apps\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Netflix\"><\/span><b>Netflix<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Netflix, the streaming video and media app, utilises machine learning to provide enhanced user experience and improve user engagement. Netflix uses ML to cater to the user&#8217;s preferences, choices and intent, based on user activities. <\/span><a href=\"https:\/\/research.netflix.com\/research-area\/machine-learning\"><span style=\"font-weight: 400;\">Netflix research<\/span><\/a><span style=\"font-weight: 400;\"> outlines how ML is being used effectively across their network.\u00a0\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Tinder\"><\/span><b>Tinder<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Tinder, the globally popular dating app, has already broken all records in terms of user engagement and satisfaction among all other dating apps. Tinder now uses a Machine Learning algorithm to understand user intent and preferences more precisely, and figure out how to show you a profile you\u2019re likely to right-swipe on. Vox explains the Tinder algorithm <\/span><a href=\"https:\/\/www.vox.com\/2019\/2\/7\/18210998\/tinder-algorithm-swiping-tips-dating-app-science\"><span style=\"font-weight: 400;\">here<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Snapchat\"><\/span><b>Snapchat<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Machine Learning is not only about offering customers perfect recommendations to ensure a consistent sales output. Snapchat is one of the few successful apps that utilised the full-length capabilities of Machine Learning technology. Filters like 3D Paint in Snapchat are great examples of how augmented reality and ML can be used side together for enhanced computer vision.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Google_Maps\"><\/span><b>Google Maps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-6223\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1024x683.jpg 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-768x512.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1080x720.jpg 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps.jpg 1350w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200@2x.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><br \/>\nThe use of Machine Learning by Google Maps is another prominent example of how this technology can ensure optimum efficiency and usability for end-users. Instead of waiting every time for the input and command of a user, Google Maps uses ML to predict <\/span><a href=\"https:\/\/venturebeat.com\/2019\/06\/27\/how-google-maps-uses-machine-learning-to-predict-bus-traffic-delays-in-real-time\/\"><span style=\"font-weight: 400;\">bus delays<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/ai.googleblog.com\/2017\/05\/updating-google-maps-with-deep-learning.html\"><span style=\"font-weight: 400;\">read street names<\/span><\/a><span style=\"font-weight: 400;\">, and more.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In conclusion, ML and AI are paving the way for smarter and customer friendly applications that were unthinkable just a couple of years ago. The future of mobile apps and digital interactions belongs to these smart technologies.<\/span><\/p>\n<p><strong>Need to speak to a <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">machine learning consultant<\/a>? Work with ML, AI and data science experts on Kolabtree.\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Juned Ghanchi writes about the top machine learning applications in mobile apps, some of which many of us use on a daily basis. Mobile apps, thanks to their all-pervading and all-encompassing role across all spheres of life, have been the subject of several state-of-the-art technologies and innovations. For mobile apps to stand out from the<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/\" title=\"Read More\">Read More<\/a><\/div>\n","protected":false},"author":12,"featured_media":6221,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,247,433],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Top Machine Learning Applications in Mobile Apps - The Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. Here are some interesting use cases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top Machine Learning Applications in Mobile Apps\" \/>\n<meta property=\"og:description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. 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