Artificial Intelligence has been around for a while. It’s technology that has been developed since the middle of the 20th Century. Nonetheless, its recent boom has gone hand in hand with the evolution of Mobile development.
But what exactly does Artificial Intelligence imply?
In essence, AI is an algorithm that automates a matching process. The latter is a process that determines if incoming information is related to any records in pre-existing databases. When new data is received, the algorithm takes it and compares it to what is already available in the pre-established database, attempting to find a match. So, for example, an AI that helps identify trees in photographs takes the information of the picture and attempts to find a match in the database. If it does find one, then it identifies the object in the picture as a tree. This is AI at its most basic. Naturally, the more intricate the task the AI has to perform, the more complex the algorithms will be.
Data is all you need
Having a pre-existing pool of data is the foundation of artificial intelligence. Without any previous data, AI would not be able to function. A human being needs to be exposed to knowledge in order to be able to apply it. This principle is applied to AI as well. Therefore, the larger the collection of pre-existing data, the smarter the algorithm will be.
In the past, gathering data in order to create a pre-established pool was tricky. Mobile technology changed that. Now a vast amount of information is gathered every second, across the entire world. Thanks to prevalent smartphone use, data can now be gathered and stored in servers. As a result, big companies, such as Google and Microsoft, have colossal pools of data that they make available to developers. This facilitates the creation of apps that use AI and offers greater opportunities for the development of algorithms.
I wanna be like you
AI developers train their algorithms to recognize patterns in data. This is where the term machine learning comes in. The latter basically aims to emulate human processes and get computers to function in the same way humans do. This is associated with ANN (Artificial Neural Networks), which are a series of mathematical models based on biological learning that imitate the human brain. Developers have a pool of established data they use to train a set of algorithms which, based on the information used, in turn create connections between the different artificial neurons, in order to generate an output. All this increases the efficiency and accuracy of AI, allowing it to perform tasks that become increasingly complex.
It goes without saying that the more sophisticated the algorithm is, the greater the computing capability needed to be able to run the software. Hence, development will be limited by what the available hardware is capable of handling. Yet, with the accelerated pace at which Mobile technology advances, new possibilities are constantly appearing.
An unbeatable coalition
So, what happens when you integrate AI into Mobile development? Potentially, a lot.
The way AI is applied depends on the type of Mobile application you are developing. The following are just a few examples of how its integration has enhanced the Mobile arena:
- Personalized content - This has proven to be the best use of AI in Mobile apps. By providing meaningful content to users, these apps constantly connect with clients and make suggestions they will find intriguing. The AI algorithms do this by observing the decisions users make and learning from them. Personalization heightens user experience and as a result, boosts brand identity and increases revenue.
- Increased app productivity - This allows users to increase effectiveness by helping them get more done on the go, using AI to streamline and create efficiencies. It helps with note-taking, manages calendars, provides auto-generated email replies, and much more. This application of AI prompts users into cutting through the clutter of data they are working with. For example, when working with a set of numerous documents, the software scans them and organizes them according to relevance. It presents the documents to the user in order of significance and importance based on what the person is working on.
- Image recognition - This Mobile use of AI allows the discovery and recognition of an object in a digital picture. Not only does this allow to recognize people’s faces and confirm users by appearance (more on this in later chapters), but it has a whole array of other applications. It can be utilized to help doctors diagnose ailments, identify license plates, examine clients, and a great deal more.
- Speech recognition - This can be summed up as the ability to automatically and accurately recognize human speech. It translates to the understanding and execution of voice commands. Speech recognition has the potential to become the main means of interaction between people and Mobile devices in the future.
The integration of AI in smartphones and tablets has opened avenues to new ways of using technology. The support that AI brings to a Mobile app contributes to its quality and therefore, to its added value. By making users’ lives easier, technology is blending more and more seamlessly into everyday activities. The future holds all kinds of exciting possibilities. What wondrous times we live in!
If you are looking for a software partner who will work towards your own business goals and success, then Avantica is your solution. We offer dedicated teams, team augmentation, and individual projects to our clients, and are constantly looking for the best methodologies in order to give you the best results.
Get in touch with us today and allow us to help you turn your ideas into tangible results.