How Has AI Changed the Course of Mobile Application

1. How Has AI Changedthe Course of Mobile Application Development? July 14, 2022 Dash Technologies Inc Artificial Intelligence, Mobile AppDevelopment AI (artificial intelligence) is an extensive branch of computer science that is associated with smart machines that can perform complex tasks by learning from humanintelligence.Nowadays,customershavebecomeverydemanding.Manyofus might think of AI as a recent phenomenon, but it has been around since the 1950s when Arthur Samuel developed a checker-playing computerprogram.

2. Since then AI has come a long way. Advancements in AI like Siri, Cortana, Alexa, Google home, and chatbots have changed our lives drastically. From social media interactions to home automation, we can’t even imagine our lives without machine learning and AI. A major chunk of this credit goes to AI-based mobile app development. • Usersuninstallmobileapplicationsthatdonothaveinnovativefeatures.AIhasraised thebarformobileappdevelopersandcustomersexpectingmorefromapps.Through the accumulation of data from various human interactions, AI allows businesses to understandhumanbehavior.Thisunderstandingenablesthesecustomerstoconnect with brands. • The following statistics highlight the importance ofAI: • The global AI market value is expected to reach $267 billion by2027. • 37% of businesses employAI. • 26% of customers admit to interacting with AIdaily. • Global spending on AI and cognitive systems reached $57.6 billion in2021. The above statistics clearly state that AI plays a prominent role in people’s lives in 2022 and their importance will only grow in the future. This blog will discuss how AI has revolutionized the mobile app development industry. Let’s get straight intoit.

3. As discussed above, mobile apps with basic features do not interest users anymore. Hence, mobile app developments will have to integrate AI into their mobile app development processes. Many companies adopted machine learning & AI to experience outstanding results. Now, we will discuss how AI has influenced the mobile app developmentindustry. FacialRecognition Facial recognition is an integral aspect of Android phones these days, mainly due to the added security layer and ease of use. This technology uses AI and ML learning to recognize people’s faces, unlock the smartphone and numerous apps installed onit. In the future, smartphone companies are planning to introduce advanced AI & ML technologies that recognize minor changes like bruises, facial hair, or changed facial expressions, etc. Be it banking, law enforcement, or healthcare, facial recognition technology can enhance security and protect sensitiveinformation. Even regular individuals can benefit from this technology. Facial recognition technology can restrict children’s access to mature content on the internet while detectingonlinethreats.Someappscanevenscanaperson’sface,identifyhisillness and perform a clinicaldiagnosis. SmartphoneApps In the age of Instagram and Tiktok, high-quality images and videos have become the norm. Bearing this in mind, smartphone companies and custom AI mobile app development companies have stepped up their efforts. These new age AI and ML integrated cameras can detect individuals in frames, new surroundings, rough weatherandotherchallengingsituationstoproducethebestpossibleimageorvideo. Impactof AI on Mobile App DevelopmentCompanies

4. Thanks to the ever-developing mobile app development technology, you can even obtain nutritional information related to a food item and monitor your body’s health 24/7/365. Businesses can track how their products are being used across the country/world when users post product images on social mediaplatforms. 3. SearchEngine Optimization AI plays a crucial role for web pages, videos, images and other content to rank in customized search results. The algorithms in these AI systems have set rules that consider many factors like the types of keywords used in the content, overall user experience etc. While these search engines may provide valuable advice on how to improve search engine rankings, they will never divulge complete information. Mobile application development companies must observe patterns and understand how AI works to improve usability. Right now, users can rely on voice commands like – Which is the closest Mexican restaurant near my location?. Not only will the search engine provide users with relevant information but they will also direct them to the physical location of a particular business. Most importantly, AI enabled apps with the latest algorithms separate top-notch content from sub-standard quality spam. Advanced AI integrated technologies provide the required information in real-time, improvinguser-experience and saving theirtime. 4. DetectingHuman Emotions Often we say things but we mean something else. Only humans would understand thatbutwhatifmachinescouldcomprehendthattoo.TheincorporationofAIandML into mobile applications allows them to decipher micro and macroexpressions.

5. TheseAIenabledappsnoticesubtlechangesinhumanbehaviorlikeeyemovements, body language, voice intonation etc. Using this information, companies can identify user requirements, demand for a particular product/service or even improve their services withfeedback. 2.Time-saving Developing products and services for customers is not an easy task. Firstly, companies must collect customer data, store it properly and then conduct a detailed analysis. Time is not a luxury while running a dynamic business. Custom AI mobile apps can speed up data collection and analysis while improving sales and customer satisfaction. Real-timeTranslation Capabilities The internet is flooded with translation applications but not all of them are effective. Most of them are inaccurate plus they require constant internet access. AI enabled apps in smartphones can translate/decode innumerable languages in real time and that too without any internetaccess. The best part is that these AI enabled applications translate the languages instantly, without any delay like interpreters do in real time. You can also modify the tool for latency, meaning users can set the lag between a spoken word and its translation. Certain languages require more translation time than others and this latency tool can enhance/improve the quality oftranslation. UsefulRecommendations The best way to keep your customers/users engaged is to supply them with relevant content and AI integration that can help you achieve that goal. While using eCommerce portals, you may have observed that you get additional purchase recommendations before checkingout.

6. Your business can benefit from the same strategy. By gathering customer data and incorporating it into your algorithm, your app can recommend more products to your customers based on their buying patterns. Not only does this strategy improve conversions but it also increases customer retention. Regardless of the industry, you can use this strategy for upselling andcross-selling. 5. Empowered Appswith Chatbots Mostbusinesswebsitesandappshavechabotstogreetcustomers,taketheirqueries andinteractwiththem.In2022,businesseshadahardtimemakingprofitsduetothe after-effects of the pandemic. Chatbots are useful andcost-effective. The cost of hiring a customer service team can be massive and they may not bring in more sales. Hence, you can instruct your developers to develop chatbots to answer FAQsorcommonlyaskedquestions.Intheabsenceofadeveloper,youcanevenhire a mobile application development companyto meet yourneeds. 6. Strategy Refinement& DeadlineEstimation During the development phase, all parties resort to fine parsing while choosing a feature set for software. Some features will be part of the initial release while others will be included later. Such steps can influence buying decisions. AI can help streamline a strategy for choosing the features while running simulations to understandthecustomer’sperspectivebasedontheirfeedback.Additionally,youcan even conduct competitor analysis to know what features to include now and which ones to save for laterinclusion. Developing a budget can be an uphill task for a mobile app development company, even when they have complete data sets and past projects for reference. With AI, companiescanfinelyparsedata,useproject resultsfromthepast,featuresetsand

7. include developer’s feedback to set a clear-cut budget. Benefits include timely production timelines and a timelylaunch. Maintenance can eat a huge chunk of your resources, especially with slipshod backend management. AI can simplify ongoing maintenance by identifying outdated features and related code to improve ongoing maintenance. As a result of this streamlined maintenance, companies can save time, money andresources. KeyTakeaways AI and machine learning has revolutionized mobile app developmentwhile changing people’s perspective on the entire process. Along with better user experience and interaction, companies also have access to abundant AI powered resources, leading to increased productivity and global businessgrowth. >Moreover, AI is capable of alleviating the workflow of various organizations, regardless of their industry. No wonder companies are adopting AI, machine learning and deep learning at an alarmingly fast pace. Be it startups or giant corporations, companies are incorporating ML and AI algorithms into their mobile apps to provide advanced features for their customers. Last but not least, the constant evolution of thesetechnologieshaveopenedupnewopportunitiesandmarketsforentrepreneurs.