AI & mobile applications technologies, how can they team up and Why? - Quesoft Tech

 AI & mobile applications technologies, how can they team up and Why?

Artificial intelligence is the new trend of technology developed to simulate the human mind for tasks that needs problem-solving and decision-making capabilities. Basically, it is a field of computer science and rely on large datasets to carry out actions in a much quicker and more accurate manner than a human could.

Overall, AI consists of subfields like machine learning, deep learning, natural language processing, neural networks, computer vision, robotic & automation, and other areas that depend on data and algorithms.

Artificial intelligence applications & use cases exist across a variety of industries, like healthcare, retail, finance, real estate, insurance, and more. There is a huge opportunity for Artificial intelligence across all business verticals and mobile applications are no exception.

Mobile applications can collect a huge amount of data and are convenient for artificial intelligence to come in and make the most use of these datasets. While involves AI into mobile apps is a new approach, the business leaders should be excited to use it.

the mobile app sector is tremendously saturated, and it is so difficult to stand out yourself in it. With AI, your mobile applications can achieve this target in an extensive way.

How can we twin the AI & Mobile applications development?

whether you’re working on Android or iOS platforms, apps poweredby artificial intelligence will be a game-changing approach. Below is how exactly we can use AI technology toempower your mobile application.

1.       Recommender systems & personalization:

One of the major use cases in the AI/Mobile Application teaming up is recommender systems & personalization.

By repeatedly analyzing your user’s behavior within the app and detect their personal preferences, you can develop a user journey that provide a personalized experiences to each customer. Doing that will leave them with a continues positive impression and make it easy to persuade them to return again and again.

This can be extremely beneficial for e-Commerce mobile application promoting online products and services since AI will provide relevant recommendations.

2.       Computer vision in mobile applications:

Another major space for AI technology to be applied in mobile apps is for Computer vision applications. If your application involves visual objects in some way, image recognition technology and artificial intelligence can work together to identify objects, humans, animals, locations, and other relevant elements.

Below are some examples of Artificial Intelligence applications in mobile apps domain.

 

Object Detection

Object detection & face recognition is the basic infrastructure for a lot of light weighted, funny applications. The aging applications & boy to girl & girl to boy switching apps are clear examples of this funny, playful applications.

 

Augmented & Mixed Reality

Augmented reality, which allows devices such as smartphones and wearables to superimpose or add digital content onto real environments. Virtual items such as hats, beards, mustaches may be placed in the actual environment through computer vision in augmented reality equipment.

       

3.       Data Analytics& predictions:

Analytics is the magic ball for any business. Whether you’re in medical sector, e-commerce, insurance, or Accounting & finance, it’s always vital to analyze performance, get insights on customer journey in the App, and improve value delivery.

With artificial intelligence, you’ll never work manually on your app analytics again. Using intelligent algorithms that continuouslytravel through your customer’s performance data, you’ll combine analyzing historical performance with predictions that inferen what is likely to happen in the future andgetting you ready preparing for it.

From user behavior insights to very accurate trends forecasts for your products and services.

 

4.       Digital Assistance:

Using Artificial intelligencein voice and speech recognition, you can develop a virtual assistantsin your mobile app that can detect the speaker’s voice and learns what is being said thenapply the uttered commands. This enables your app installed users to essentially communicate with the app even without having to touch the screen.

Virtual assistants delivertimesavingadvantage to users. Also, they offer advantage to customersenabling them to communicate with your application while driving or whenever their hands are busy.

Additionally, speech recognition is very advantageous for app users with disabilities. It offers them a multi-range of capabilities when it comes to manage their apps.

 

5.       Chat Automation:

A smooth user customer service and excellent support is of a huge importance in nowadays service delivery world. On the other side, customer serviceagentsexistence for 24/7 is very expensive& difficult process.

 

In that space, an AI-based chatbots is the most convenient solution. It enables your mobile application automates the process of replying to users’ queries using natural language processing (NLP) models. The model will learn the user input, relate to the relevant information, and then answer to the user in the most convenient manner.

AI-based chatbots are widely used worldwide & has gained a large implementation in many verticals.

 

Conclusion:

Businesses across a multiple sectors & verticals are gaining benefits from embedding AI in their mobile apps, and this is only the beginning.

In summary, AI-powered mobile apps perform operationsbetter than a common mobile app can. Whether it is data analysis, responding to customers' support tickets, or control workflows.