Intelligent Mobile Apps: The New Face of Mobile Industry
With the growing incorporation of technologies in the mobile world, everyone is expecting better opportunities in the form of experience-as-a-service. They are raising questions on the capabilities of normal mobile apps while posing a clear demand for personalized experience.
A ripple effect of this is that mobile apps have started embracing AI capabilities to ultimately emerge as Intelligent apps.
So, what exactly are intelligent mobile apps and how are they different from those apps that we use in our daily lives?
Intelligent mobile apps are basically AI-enabled applications that deliver an adaptive, rich, and personalized user experience. These apps combine the power of predictive and prescriptive analytics, cutting-edge technologies, consumer data, and operational data with latest user-centric design and application development tools to make a high-end user experience.
Now that we have covered what are intelligent apps, let’s turn towards the best types of i-apps to understand them in a better way.
Best Intelligent Apps to Use in 2021 and Future
1. SwiftKey Keyboard
SwiftKey Keyboard is an AI-powered keyboard which auto-corrects your wrong text. Additionally, the app also offers features like changing font color, design, theme, and style, and adding fun to your conversation with emojis.
2. Elsa Speak
ELSA Speak is another popular Artificial Intelligence app that helps users learn English quickly and effectively. The application has listed down tests designed by the experts which enables users to learn and speak English fluently in a very less time span. Also, this one the best intelligent apps for Android and iOS app encourages them to continue further by keeping a track of their progress. Recently, this platform raised a $15 million Series B. The capital will be used to expand ELSA’s operations in Latin America and build a scalable B2B platform
Introduced by Google, Socratic is an AI-based intelligent application that is simplifying the learning process. The application empowers students to ask questions by taking a photo of questions or asking verbally. This one of the popular artificial intelligence apps comes up with optimal Q&A sections, blog links, and YouTube videos, which makes the studying process faster and simpler.
Hound is yet another perfect example of how Artificial Intelligence in mobile apps can streamline your life. The app takes voice commands to perform different actions such as getting familiar with the best hotel, restaurant, or doctors.
Another interesting feature of this i-app is that it translates speech to text and vice-versa.
Another example of implementation of artificial intelligence in mobile apps for better services is IRIS.
Developed by Paint Technology Solutions, it is one of the most downloaded intelligent apps for Android and iOS used by managers, team leaders, and co-workers of any particular project. This one of the best artificial intelligence apps enables them to get access to the report of any team member. And the best part is that multiple users can access the same document at the same time and that too from different sync devices.
FaceApp is yet another application that uses AI and Neural network technology to create freaky, hilarious, yet most realistic face transformations.
Available on both Android and iOS, Youper is a user-friendly Artificial intelligence app that caters to health and fitness problems. The application is based on cognitive behavioral therapy, encourages users to share their social phobia and get real-time motivating advice. And this way, improve their social interactions and lifestyle effectively.
Flo is also one of the popular artificial intelligence apps that is primarily used in the process of photo and video editing. The app comes with a built-in voice assistant that enables users to give a voice command regarding which footage to pick, and on what basis (on the basis of location, date, or tags). And eventually, merge them optimally with high-quality music.
The application also employs Machine learning algorithms that provide options like choosing the best moments, detecting faces, locations, and more.
9. Google Assistant
Launched in 2016, Google Assistant, an AI-powered virtual assistant, has made significant strides since its inception. It is available on a wide range of devices such as smartphones, headphones, and cars. Google Assistant supports both voice and text entry and uses natural language processing. This AI assistant performs a variety of tasks for its users like searching for a favorite restaurant, playing music, and even assisting them in obtaining vital information from Google.
Replika converses with her users as if she were a person. You can form an emotional connection, share a laugh, or get real with an AI that’s so good it almost seems human. Replika can help you understand your thoughts and feelings, track your mood, learn coping skills, calm anxiety and work toward goals like positive thinking and stress management. The app was initially created for iOS users, but it is now available for Android users as well.
Databot is a virtual artificial intelligence software for Android, iOS and Windows 10. It is also available on Android tablets, iPod, iPad, and windows phone. The app answers your questions and addresses the issues that are important to you. This intelligent mobile app design provides you with images, multimedia presentations, and information based on the topic of your interest. The app uses Wikipedia, RSS networks and other sources to give you the desired information. Databot can understand and speak multiple languages like Spanish, English, French, etc.
Now, as we have gone through some examples of artificial intelligence software for Android and iOS, let’s move to the features that make these apps a must-have element for enterprises to navigate the new-normal.
Prime Features of Intelligent Mobile Apps
The foremost characteristic of intelligent app solutions is that these applications do not wait for users to make every move. Rather, they study user behavior and deliver personalized and actionable results using the power of Predictive Analytics.
In this way, they cut down the hassle of users and prompt them to take desired actions.
The finest example to understand this trait of Intelligent applications is Hound app. It shows the finest nearby restaurants, hotels, and more in real-time. This gives users a push towards making a booking, which might not have been possible if they were asked to make a search manually.
Delivering a data-driven output is also one of the key features of Intelligent apps.
The intelligent apps gather data from different sources – be it IoT sensors, mobile apps, websites, beacons, or user interactions – and analyze it in real-time. A result of which is that you get the right results for almost everything, when asked.
Since Intelligent mobile apps study users’ behavior and desires, they easily differentiate between which information is relevant and which is not. Because of this, these apps provide highly contextual and relevant information and suggestions to users.
In addition to this, they notify users about the issues they might face depending on their current situation. An example of this would be Cleo application – an AI powered budgeting app that examines people’s expenses and notifies them of their spending capabilities. The downside of it though is that the cost of a cleo like app is fairly high
4. Adaptive in Nature
Backed by Machine learning algorithms, the intelligent mobile app design is adaptive in nature. Meaning, they can easily upgrade their knowledge as per their surroundings.
5. Exclusion of Keyboard Inputs
Since delivering high convenience is a core objective of i-apps, these applications also facilitate the opportunity to give commands without using keyboards. Meaning that these applications respond to commands given in the form of speech, gesture movement, or image also.
Last but not least, delivering an Omnichannel experience is also one of the main features of Intelligence apps.
These apps understand that users expect a common experience, irrespective of which platform they are interacting with. And thus, ensures that they get the same experience on all the communication channels.
If you want to know more about how apps can deliver an omnichannel experience, you can read this article here.
With all such features, the emergence of intelligent mobile apps are paving the way to do business more effectively and profitably. They are enhancing the efficiency of the workforce, accelerating decision making process, gathering better insights, and thus, delivering long-term benefits. Something we will cover in detail in the next section of this article, related to the usage of intelligent applications in different domains.
Use Cases of Intelligent Apps in Different Business Domains
AI-based intelligent applications are transforming healthcare. These applications are bringing better opportunities for both patients and medical practitioners and simplifying their interactions.
These applications are easing the path to find the best nearest doctor, book a consultation, keep reminder of medication, getting a basic knowledge of each medication, and more. Whereas, it is helping doctors with remaining updates with real-time status of consultations, assigning duties to staff, ensuring the availability of equipment, maintaining a proper temperature for medicines, and more.
Another industry enjoying the finest results from the usage of intelligent apps is Fintech
The Fintech industry is using AI-based intelligent applications to woo millennials, alongside providing futuristic opportunities to all. These applications are analyzing the past and present expenses of users and providing them with better budget-managing tips.
Also, they are giving insights about every stock’ history helping everyone with deciding whether to make an investment or not.
These apps are bringing learners closer to the sources of knowledge. These apps are empowering students to make notes in the form of speech and images, along with text format. They are also providing assistance in determining which formula/principle to consider for solving a problem.
Intelligent apps are also opening new avenues for the food industry. These applications are not just helping users in locating the nearest restaurant, booking a table, and repeating an order, but are also delivering data based on user’s behavior to restaurant owners and helping them in giving a personalized experience to customers.
An effect of this is that various Entrepreneurs are putting efforts into making their restaurant apps smarter with the help of AI.
Hospitality is yet another industry that is making profits by the right usage of intelligent apps.
The Hotel staff is using AI-enabled intelligent apps to improve their customer experience strategy. They are using these apps to know their guests better, offer predictive personalized experience, give an option of self-service, use sentiment analysis for better marketing, and more.
When it comes to Enterprise, intelligent apps for mobile are proving to be a revolutionary addition.
These apps are helping the workforce with sensing the urgency of any task and allocating work to individuals accordingly. They are also aiding in the decision-making process and ensuring value generation before competitors.
Above all, these AI-enabled mobility solutions are giving a smart ecosystem experience to the workforce by providing functionalities like optimizing their work, access report files in real-time, performing micro-activities, and more.
Various business organizations in these sectors, which have already invested in mobile app development to introduce an i-app to their processes, are enjoying competitive advantage over others. Whereas, many other businesses are discussing how to get ahead of this growing trend towards intelligent apps.
So, to ensure that you do not lag behind, let’s have a walkthrough of how to develop intelligent mobile apps.
The Process to Create an Intelligent Mobile Application
When it comes to the development of intelligent mobile apps, the process begins with understanding the decisions that core business constituents must consider in support of their business operational objectives.
Once you create intelligent mobile models, it is necessary to focus on embracing key app technology and architecture potential while developing next-gen apps:-
1. Data lake that supports:-
- Real-time data gathering, indexing, and management.
- Enhanced data accessibility across the ecosystem.
- Safe and Secure data management services.
- Flexible data delivery options.
2. Data-as-a-Service that favors:-
- User self-service possibilities.
- Simple and Quick data discovery and exploration mechanism.
- Accelerated data management, monitoring, and tracking options.
- Integrated data alignment and transition services.
3. Analytic-as-a-Service that encourages:-
- Embeddable and Shareable analytics and Visualization.
- Real-time maintenance of data records for smarter decisions.
4. Intelligent app development process that comes up with:-
- Agile development possibilities with modern Devops and Paas techniques.
- Availability of analytic insights at the time of decision.
- Constant relevance of information.
- Delivery of insights in Omnichannel environment.
- Now, although we have discussed the prototype of developing intelligent mobile apps, the process is much more advanced and challenging. It is always better to hire a tech mobility expert to taste the future of mobile apps, i.e, intelligent apps.
Frequently Asked Questions about Intelligent Mobile Apps
1. How AI is creating an intelligent app ecosystem?
Artificial Intelligence is creating an intelligent app ecosystem by bringing the power of gathering real-time data, understanding user behavior, and performing predictive analysis in the mobile app domain, and eventually making better decisions.
2. How to create an intelligent app suited to one’s business needs?
The process of building intelligent solutions depends entirely on the business needs and the mobile app architecture and tech stack that they consider. This includes focusing on:-
- Data lake,
- Analytics-as-a-Service, and
- Intelligent App development process
3. How much does an intelligent app cost to build?
The cost of developing an intelligent app depends on the level and complexity of the app. Typically, AI integration will boost the cost of an app by anywhere between 20 and 40%.
4. What are the benefits of intelligent apps?
Some of the benefits of using intelligent apps are that they are adaptive, responsive and driven by data. They also deliver a rich and personalized user experience.
With the rise of new technologies like artificial intelligence, the demand for smart and intelligent mobile applications is expected to rise exponentially. Intelligent applications make smart decisions. Thus, it ensures a personalized user experience with its adaptive nature. Besides, these applications have entered all the industries in this digital era. The user-centric design of the application makes intelligent mobile app development the future of mobile applications. In case you want to develop one for your business, it’s advisable to hire a team of AI app developers.
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