AI – Changing the mobile application development landscape
Everyone is talking about Artificial Intelligence. Why wouldn’t they? Artificial Intelligence (AI) is changing how things are. Every organization is talking about how AI is useful irrespective of whether it is RPA (Robotic Process Automation) or just simple automation or all of it being adopted under the name of Deep Learning.??
Artificial Intelligence is used for:
Without a doubt, the mobile app development industry is also affected by advancements in AI. This blog speaks of the ways that AI is impacting as well as adding value to the mobile app development domain.?
Facial Recognition
Face recognition has taken the tech industry by storm. Face recognition has become so effective in the battle against identity theft and fraud that it is now considered the next best solution by BFSI firms. AI-powered facial point scanning, mobile apps are being used to make sure that the correct person is using the phone or bank account. Most of the high-end phones nowadays have facial recognition, inbuilt for general security, however, the technology is still in its nascent stages. Since there is a market for this technology, hence it's just a matter of time before these become common in app stores.?
Now let's imagine that you have a payment app and it has a face recognition feature. It adds an added security feature to it. Now let's consider dating apps like Tinder. Tinder has a major complaint that its photos and descriptions are misleading and when people actually meet it's totally something else. Face recognition in this scenario can build a trust factor.?
A good business strategy could be mobile apps that totally aim at facial recognition but can also be integrated with other mobile apps.??
Content Creation And OCR
One of the greatest advantages that AI can offer is its ability to analyze. AI has to be fed data to help it function efficiently. Hence, content creation has become one of the biggest implementers of AI. Let’s take the example of Quora or any news or movie app. All these types of applications use AI to display content according to the user’s preferences. AI-first analyses the content present on the app and then displays it according to the user's liking.?
OCR (Optical Character Recognition) is an extension that has recently become famous. For example, Google Translate is now allowing you to take photographs of something that is written, then convert them into digital content and then translate the content into the desired language. This is all done by AI. Imagine the barriers that this technology would be able to break.?
A lot of efforts have been made in integrating mobile apps with Siri or Alexa or Ok Google to better the user experience. For example, integrating a shopping app with any of the above voice assistants so that users can place orders on request. Such AI-powered apps would work wonders for the overall user experience??
Better Usage Experience
Personalization is one of the areas where AI has helped a lot. RPA (Robotic Process Automation) a subset of AI is of use here. Be it sending bulk emails, using chatbots for customer services, or simply attending queries and connecting them to the right call center resources, AI plays a vital and a big role. When talking in context with mobile app development, let's take an example of the customer service chatbots. These chatbots are always available to answer most of a customer’s queries about products and services even without having to connect with a real agent.?
For those who haven’t heard of Haptik, it's a mobile app that solely works on a Conversational AI model where the user does not have to type it all out. The bot works like your own personal assistant. These bots can reduce the efforts that users put into typing in the app. There are companies like Racetrack.ai and TARS which provide an option to integrate a chatbot while developing a mobile app. Additionally, a dedicated backend is provided where you can make changes to the bot in accordance with your mobile app development requirements.?
Daily Assistance?
Everyone who likes traveling has used Google maps or apps that tell you about the local stuff or even apps that analyze a user’s LinkedIn profile and helps you prepare for a meeting. These are examples of behavioral and sentimental analysis made possible by AI. This cognitive analysis is relevant for mobile apps working in the B2B domain.?
Again taking the example of Haptik, the app takes input from the user in the form of conversation and then searches for options available to get back to the user with the most personalized solutions which the user is most interested in. People might think that personalization doesn’t hold much importance in our daily lives, but when an app knows which oil you buy and hence which oil you could upgrade to and why it is important to change, it can play a vital role in the way we live our lives.?
Phone Security
AI has helped in keeping our phones safe for a long time now. The best example is our fingerprint scanner on our phones. In the past, we have seen many apps that allowed us to lock certain apps in our phones to restrict access to various features for users other than the owner of the phone. These kinds of apps had a market and people used them more freely, however, today’s smartphones have these abilities inbuilt into them, so now people are now into these apps. But it goes without saying that this feature in individual apps can do wonders as far as security is concerned.?
Increased Convenience
AI is instrumental to the convenience that it provides to its users. Take for example booking a cab from Uber using Alexa or simply asking Google Home to play your favourite song on Spotify or asking Siri to order food from Doordash. These all technologies powered by AI sum up to providing convenience for us.?
AI is a great tool that has helped developers build an excellent overall experience for the users using the app through the power of AI. Everything boils down to one thing only. The technology AI offers that could be integrated into the app ultimately unlock a whole new level of ease and the certainty the product or service would be good.?
Conclusion
We all can agree that we are way beyond the point where phones were only used for the basic need for calling, texting, and storing contacts. Now with the use of Artificial Intelligence the mobile app development landscape has changed. Everything that you need can be done by a single tap of a button or using a voice command. The newer mobile apps have their experience as largely automated and intuitive. Thanks to the use of machine learning and context-aware sensors, AI-powered mobile applications have taken us on a journey from personalization to hyper-personalization. By gathering appropriate information about the user’s behavior and usage patterns, companies can now offer more custom curated products and services.
If you are interested in knowing more about how AI can help in making better mobile apps do book a Free consultation with us. Talk to our experts and get to know more about mobile app development using AI.?