Five Ways AI Is Accelerating Mobile App Technology
Artificial Intelligence (AI) has permeated the tech world. It is enhancing everything from your car to your toothbrush. It is influencing the decisions that affect your life. Artificial Intelligence is the term used to define a machine’s ability to simulate human intelligence. Actions which were once considered unique to humans are now being stimulated by technology and used in every industry. This includes mobile app technology.
Mobile phones have been using AI for some time now. The earlier generation of phones was cloud-based and Internet-dependent. The difference today is that the latest smartphones integrate cloud-based AI along with built-in AI. The rate at which AI is expanding is accelerating.
Let us now discuss how AI is enhancing mobile app technology.
Related Reading: Take a look at the top AI trends of 2019.
AI is the Catalyst in Mobile Apps
As per a study by McKinsey Global Institute, AI expansion brought in an investment of $39 billion back in 2016 which was three times the amount invested in AI three years prior to that. Acting as a catalyst, AI is continuing to enhance mobile apps. It empowers the evolution of mobile apps by making them intelligent pieces of software that can predict user behavior and make decisions. AI allows mobile apps to learn from data generated by the user.
Mobile developers are adapting quickly to changing innovations. There are over 5 million apps in the leading app stores, which stands to show how AI is creating personalized app experiences for users and is adapting to various situations due to automated learning capabilities. Here are five specific real-life benefits of AI on mobile apps.
1. The Wrapping of Artificial Intelligence with the Internet of Things (IoT)
The combination of AI and IoT is powerful in creating a personalized experience for users. A large amount of varied data is collected from the customer in real-time as he uses the device. Each usage has commands or interactions that are being used with mobile apps. AI can then leverage this real-time data to deliver an enhanced personalized experience.
IoT reduces app development time significantly. In mobile app development, IoT along with Artificial Intelligence can lead to better utilization of resources and higher efficiency. Together they free up a good part of employee bandwidth. It delivers modified and more efficient apps and strengthens data security measures, which is vital because the future of mobile apps will always be revolving around connected devices.
2. Enhances Search Engines
Text and voice have been the traditional search modes. But say, you saw something you would love to buy, but you don’t know what it is called or how to find it. Visual search helps you find what you want even when you don’t know the words to describe it. The smartphone is the best launchpad for visual search technology. An example of this is Google Lens.
In some cases, visual search is more accurate and faster than a voice or a text search. Due to integrated AI in mobile applications, android developers are bound to develop an image recognition system and a voice recognition system. To increase conversion rates AI will provide localization of applications.
Related Reading: Learn more on how to build an intelligent app ecosystem with AI.
3. Empowers Real-Time Translation
There are so many translation apps which enable translation. However, most of these apps do not work without the internet. AI could enable your smartphone to translate different languages in real-time without the need for an internet connection.
Much like a digital version of what interpreters do, Artificial Intelligence can provide a simultaneous translation tool which allows sentences to be translated almost instantly without a time lag. AI allows the translation tool to be adjusted for latency. This would mean that a user can set the lag between a spoken word and its translation. This would be especially useful for certain languages which would require a longer time lag for better translation. Example: Baidu.
4. Improved Security with Face Unlock
Face Unlock was launched in September 2017 by Apple. Combined with Apple’s elaborate hardware, Apple iPhone X uses an AI-based algorithm for its face unlocking system. Using AI processing, the phone can easily identify the user’s face even with facial changes like specs or beard.
Recently, Google announced radar-based, hands-free gestures to face unlock. With its hands-free system, unlocking the phone would be easier, faster and secure. It claims that it can unlock the phone almost in any orientation.
5. Enhanced Mobile App Authentication
As AI is becoming easily available as a commercial technology, both criminals and organizations are taking full advantage of it. There are predictions by cyber-security experts that the world might witness many AI-powered cyber-attacks in the future. This necessitates the development of more sophisticated cyber defense systems. Also, with the increasing use of smartphones, we all need an advanced level of data security. Security has been one of the biggest concerns for Android developers.
Thanks to enhanced artificial intelligence with machine learning and deep learning algorithms we can look forward to a time when authentication becomes a smooth experience, which allows users to enjoy security without trading convenience. AI can be enabled to give alerts to users about possible threats. AI can also add a level of augmentation to biometric authentication which makes it almost hack-proof. Another benefit of AI algorithms is that they can find and alert potentially compromised accounts in real-time.
AI With You Now and Into the Future
AI presents numerous possibilities for innovation in the mobile app industry. AI is the future of mobile app development. Artificial Intelligence is changing how users interact with app services and products. Mobile app users will be linked to an ecosystem of intelligent applications and will work together to deliver a personalized user experience.
Businesses developing AI-enhanced mobile apps will benefit from the predictive analysis these apps can create. According to a study conducted by Callsign, the user preference for authentication is shifting. Such changing preferences would mandate further enhancements in the development of mobile apps.
An intelligent ecosystem will gather a large pool of social data and behavioral interest, which can be used to further increase revenue and improve user experience. It is not an exaggeration to say that the smartphone industry is being revolutionized by AI. This makes it important to enable AI in your business and mobile applications. Give us a call to discuss how this can be done.
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Key Features And Benefits Of An Artificially Intelligent Ecosystem For App Development
Artificial Intelligence is omnipresent in this digital era. Artificial Intelligence and human intelligence work together to deliver numerous solutions at the technological forefront. The global artificial intelligence market size is expected to reach $169,411.8 million in 2025. The leading application development trendsetters such as IBM, Microsoft, and many more global leaders have adopted Artificial Intelligence as an inevitable part of their advancements in bringing up the intelligent app ecosystem.
Artificial Intelligence has its key segments in the market based on Technology and they are Machine Learning, Speech Recognition, Image Processing, and Natural Language Processing along with various other industry verticals.
What is an AI application?
Putting it in simple words, AI is the reason why your smartphone when connected to your car’s Bluetooth gives a beep with a message about the traffic conditions and in what time you are likely to reach your destination you often travel to. Artificial Intelligence makes this possible via its pattern recognition skills which it formulates over a period of time, known as machine learning!
For instance, Microsoft has developed a productivity AI application known as ‘Office Graph and Delve’ of Microsoft Office 365. It collects data and shows only relevant content to users according to their priority. Other examples include:
- Voice recognition apps with GPS.
- Search engine applications.
- Chatbots or AI-enabled assistants.
- Personalized shopping applications that make use of Google Analytics.
- Financial applications that are both accurate and efficient in calculations and providing results, such as automated advisors, powered by AI.
- Autonomous vehicles, drones.
- Transport apps powered by AI, Google Maps, etc.
- Social Media applications.
- Smart home devices that make use of data science like smart voice assistants.
- Creative arts such as Watson Beat, yet another powerful AI implemented the app.
- Security apps that implement Facial Recognition and image processing technologies.
Making Mobile Apps Intelligent With AI
The first quarter of 2019 witnessed over 2.1 million apps available in Google’s Play store for Android users. Apple’s Appstore was the second largest to have over 1.8 million apps ready for download.
Related Reading: Read on to learn how voice app can enhance your business.
With such intense competition, app developers are looking for ways to create personalized applications. The solution to this is AI implementation. The role of AI in an intelligent app ecosystem is to make the applications learn the intention of users. Machine learning and Data analysis features form the Intelligent Ecosystem for these applications.
The AI ecosystem increases the efficiency of programs and machines and also allows users to predict user intentions online like their purchasing trends and other social behaviors when they are online. The following are some of the roles played by Artificial Intelligence in an intelligent app ecosystem:
- Multi-faceted technology that incorporates machine learning algorithms and deep learning.
- Implements Big Data, Neural Networks in its programming.
- Predicts user communication and intention online in real-time.
- Automates functions.
- Can make informed decisions for specific users.
- Can create analytics from a history of searches.
- Interprets tasks using preassigned commands.
- Provides personalization.
- Accurate Insights
- Perfection In App Development Features
- Efficient Ways to Complete Redundant Tasks
- Enhanced User Satisfaction
- Notifies Important Details making operations easier
AI integrated applications help in improving success rates and also increase app performance. Along with helping machines to mimic humans and its problem-solving capacity, AI has become an inevitable part of app development with its ability to learn, perceive and manipulate data.
AI protects an application user’s data. It performs an analysis of the data for identifying user patterns and behavior online in real-time. This data can be used to provide better customer experience and for user engagement.
Role of Artificial Intelligence is also in aiming at generating revenue through efficient user interfaces.
The Intelligent App Ecosystem: How It Functions
Applications are becoming more intelligent each day. Staying ahead of the game is crucial for app developers with users wanting a personalized experience and much-improved experiences. The following are the latest trends in AI intelligent app ecosystem:
- Wider use of machine learning techniques.
- Wider adoption of microservices for app development.
- A rapid increase of numerous platforms to develop applications.
- A rise in the adoption of various machine learning models.
Various layers of technology are involved in the development of artificially intelligent applications. Artificial Intelligence plays a major role in modeling the market dynamics of businesses to a large extent. In addition to creating new opportunities, be it for startups or even for large industrial giants, artificial intelligence provides numerous implications on the development side including the following key features:
1. Customer Experience with machine learning defines an intelligent app ecosystem
Every business needs high-quality data that will suit their specific application needs. So the machine learning models are required by user data specific companies. For instance, for Google, it was the ‘search’ function, ‘entertainment’ was defined by Netflix, Facebook for the ‘social’ amenities and many more such specific intelligent applications.
Many more categories include healthcare, personal assistants, retail, agriculture, sales, security, automation and many more industry verticals. Machine learning along with user critical data have formed the basis of these applications on the artificial intelligence vertical.
Related Reading: Here’s how you can redefine your business with AI chatbots.
2. Cross-platform services With The Intervention of New Platforms
There are many cross-platform mobile applications developed on cross-platforms such as hybrid and native platforms. Consider Facebook Messenger and Amazon’s Alexa. The added features make it more user-friendly and even beneficial on the sales front. This also becomes simpler for industries to perform when they can deliver their products/ services across such platforms as it is all about adding a new layer of API that connects with the entire existing microservices for authentication and other critical functions. These interfaces, thus revamp the existing applications into macro-services.
3. Machine Learning Models And Intermediate Services For Business-Specific Platforms
Pre-trained machine learning models can be used as plug-and-play for performing functions such as natural language processing, image processing, etc. These are the intermediate services. On the other hand, there are raw intelligence providers that form the building blocks. These two are the major 2 types of industries that provide value to the intelligent app ecosystem.
4. The Big Data Technology Analysis And The Intelligent App Ecosystem
Do you know what Hadoop has contributed to enabling an artificially intelligent ecosystem of app development? The hardware companies that store large chunks of IoT data and other transactional data perform? Well! Big Data Analysis is how businesses keep up with the intelligent app ecosystem.
According to the latest IDC forecast, 75% of the commercial enterprise applications will make use of AI by 2021. This shows that deploying AI for app development will lead your business to have an intense advantage over your competitors in the near future. To learn more about how you can capitalize AI for your business benefits, get in touch with our experts today!
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The world of technology is changing by the day, and placing bets on any new technology is risky. A new technology may be hyped up as the bright new hope for mankind, only to be shunned in a few years or less, as realities bite and drawbacks or stumbling blocks start to emerge out of the hype.
In such a state of affairs, it pays to invest in a time-tested technology. Mobility offers a safe bet, having withstood the test of time. Gartner estimates the demand for enterprise mobility apps to outstrip the capability of internal IT in enterprises to deliver such apps, by five times, by the end of 2017. Mobile phone sales are likely to touch 2.1 billion units by 2019, further fueling the demand for mobile apps. Mobile users spend as high as 86% of their time on various apps.
The high demand for enterprise mobile apps is owing to a variety of factors that are not going to go away anytime soon.
Mobile Apps Improves Internal Efficiency and Productivity
Mobility empowers busy on-the-move executives to remain connected always, from the airport, from the client’s reception, from the dinner at the hotel, from the swimming pool, and just about anywhere else, when on the move. It enables field service executives to connect to the office in real-time, top management to remain in control of the situation during business trip, the busy executive to start working when commuting to work, the marketing executive to get details of the customer even while meeting her, and a host of other live situations. The real-time decision making, accelerated processes and such anytime connectivity triggers help businesses close more deals, and do much more with available resources.
The investment in enterprise mobile app often pays back for itself just through efficiency improvements. A case in point is the app making data collection related to customer preferences and action automatically, sparing the enterprise from the otherwise slow, tedious and resource intensive process.
Mobile Apps Deliver Unmatched Customer Convenience
Mobile apps are a rage in the customer-facing space as well, where intuitive apps enable customers to engage with the company better. Customers use their smartphones to explore a product, shop, to find a business, initiate an inquiry, and more. Mobile apps offer a one-stop point for the customer to interact with the brand. In fact, a mobile app is one basic expectation from any brand worth its product.
With a customer app, the customer virtually gets all information related to the business in the palm of their hands. It boosts engagement, allowing customers to engage with the business when whiling away time on the train, waiting for the dentist’s appointment, and at a host of similar situations. In the absence of a convenient way to initiate interaction, at such convenient time, the customer may not initiate an interaction at all.
Mobile apps cater to a larger, younger audience. About 75% of the millennial generation now own a smartphone, and it is hard to engage with them through technologies that are past their sell-by date.
Mobile Apps are the Marketer’s Dream Come True
Mobile apps facilitate on-the-go marketing, allowing new customers to find about the business easily, and existing customers to get in touch for any requirement, equally easily. A user who downloads an app is as good as a loyal customer, for the downloaded app is likely to be the first point to search for a product, and make a purchase. Regular use or even visibility of the app reinforces the brand image in their minds as well. Mobile apps may also leverage location and other personal information from the mobile devices, to tailor customized offers.
Mobile apps also make it easy for regular customers to get in touch with customer support easily, and customer support to address the needs to the customers, in an informed way.
Developing mobile apps offers spill-over benefits as well. Merely creating a mobile app gets the company access to app indexing, making it that much easier to be found in Google search results. Users get the option to download the app when they search for content related to the app.
Businesses that fail to adapt to the mobile will soon go extinct, and there is no better example of this than the fate of Kodak, Yahoo and Nokia, once household names, now no more as they failed to adapt to the mobile.
However, the mere creation of an app is not enough. Only apps developed the right way, incorporating the right features, gain traction. For instance apart from easy features to browse and shop for a product, apps that facilitate social sharing, by integrating options to make comments, likes, and also in-app messaging is likely to be well received. Likewise, while demand is high, competition is equally high, meaning customers would rarely give the app a second chance. Mess it up the first time, and the odds are the storage-space starved customer would straight away delete the app and install a competitor app, thereby losing the customer for life.
A big challenge with regards to rolling out mobile apps is the overburdened internal IT team, and the difficulty in hiring competent developers. However, at the same time, the mobile app development space is not the one for experimentation or trial and error. It pays to partner with an experienced and strategic partner like us, who have a wealth of experience in rolling out highly intuitive and well-accepted apps, cutting across niches, industries and sectors. Partnering with us allows your business to leverage the wealth of knowledge and best practices inculcated by us over time, and also gives you access to an extremely competent talented pool of professionals who are adept in rolling us highly customized and innovative apps that pass the test of high performance and usability, to perfect suit your business requirements.
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Mobility is booming. The number of mobile users worldwide touched 4.43 billion in 2015, and the figure is expected to reach 5.07 billion by 2019.
The rise of mobility has corresponded with a surge in demand and acceptance of mobile apps. However, expecting a free ride by conjuring up a namesake app is asking for trouble.
Enterprises have no option these days but to roll out mobile apps for the convenience of their internal users and employees, but success demands such apps be of high quality and have a high degree of user adoption. Here are some tips in the direction.
1. Get the Basics Right
When it comes to mobile apps, the first degree of association is with a responsive design, where the format adjusts automatically, to suit the highly fragmented screen size of mobile devices. However, responsive design is now the basic requirement, as is effective planning on the scope of the app, and creating a prototype.
It requires much more effort that such basics to build a successful mobile app.
2. Never Compromise on the UX
The best apps are well designed, both in terms of visuals and the user experience (UX).
Never underestimate the power of simplicity. A simple, neat and clean interface best suits most mobile devices, with its small form factors. Simplicity is not just in the design, but also in the feature list. Make sure to eliminate any unnecessary feature, and make everything clearly visible. Even subtle changes in design make a big difference in usability.
The best UX design is also relative to the platform. Each platform has a native way of screen layouts, displaying information, and navigation. For instance, iOS tabs have a built-in NavigationController, facilitating multiple levels of navigation inside each tab. Android tabs, on the other hand, are shallow, and have no in-tab navigation. Trying to implement iOS-like functionality in Android, such as in-tab navigation leads to confusion, and is counterintuitive.
3. Focus on a Specific Function
The biggest mistake related to mobile apps is considering the app as a micro version of the website. The most successful apps cater to a specific function or niche. It solves a specific problem or does a limited number of things, but enables doing it well. For instance, a field service app makes the life of a field service technician easier, by allowing her to download the relevant inspection forms, access information related to the plant she is visiting, and connect with external help for real-time troubleshooting. Saddling the app with unnecessary features such as customer care, sales reports and more would only serve to make the app bloated, harder to use, and counter-intuitive.
At the same time, make sure every single enterprise app is part of a wider mobile strategy, and as an opportunity to engage with customers, be it external customers or internal customers, in a better way. Spend time on the purpose of the app, making sure it serves a specific purpose that is needed in the first place. Also, make sure each app is a vital spoke, and all apps added together to complete the comprehensive whole in organizational functionality.
4. Leverage the Features of the Mobile
Unlike websites, a mobile app has the capability to push information to users, leveraging geolocation services to offer improved services, adjust to slow data speeds and overall offer a dynamic and proactive experience for users. Such options unlock new possibilities and go a long way in ensuring the success of the mobile app. Effective Planning is critical in adding such rich functionality to make apps more useful.
5. Get the Development Right
Many a time, apps are rushed into the market, without adequate testing, since the app would be needed desperately. An imperfect or half-baked app is more likely to do more harm than good, by impeding productivity. Follow agile development procedures to develop the app well first time round.
Make sure to test often. Discovering the font positions are off, or the app simply crashing on loading, after spending weeks on development, is a recipe for disaster. Very often the solution at such an advanced stage of development would be ineffective quick-fixes which will lead to the failure of the app. Frequent testing enables identifying the problem and affecting a fix immediately before discovery or fix becomes too difficult.
The coder, the tester, and all other stakeholders connected with the app development process would do well to consider themselves as end users, and see how the apps pan out when using it. It is also a good idea to involve the actual end user in the development process.
6. Enable Platform-Agnostic Development
Android is now the dominant platform with over 50% market share in most markets. The iPhone is popular for enterprise users as well. BYOD, which is prevalent in many enterprises make the mobile screen hopelessly fragmented though, with varying screen size and OS variants. In such a state of affairs, trying to optimize for specific platforms is asking for trouble.The best practice in cross-platform development is to build the code completely abstracted, as if it is a local web service. Make programming modules platform-agnostic by making programming logic independent from the screens and platform in which it will run. Such an approach will also enable code reuse, accelerating the code development process. With the logic decoupled from the platform, only the user interface code need to be built separately for each platform.
7. Track the App Effectively
An app development project is not one-off but a continuous process of evolution. Use tools to track whatever is happening inside the apps, such as what users click and use, traffic sources, and other parameters, to fine tune the app during the next release. Use the first batch of users to test metrics and understand the real value of each user, before continuing with more systematic campaigns.
The mobile space is highly fragmented, and it requires a high degree of expertise to roll out successful apps. A successful app invariably involves a great deal of experimentation and trial-and-error. Partnering with us would allow you to gain from our experience and expertise in developing hundreds of highly successful enterprise apps, cutting across industries. We have done the hard grind, understanding what works and what does not work. When you partner with us, you get things done easily without having to go through the painful trial and error yourself.