AI: How AI Transforming the Mobile App Testing Industry in 2019

The mainstream android app development has been revolutionized by lots of brand new,

 inventive technological advancements in an even more rapid and user-centric management. The coming year definitely keeps a great deal of promising trends for the like chatbots and augmented reality, but one thing is for sure: Artificial Intelligence (AI) testing technology will probably soon be at the middle of this revolution because of its growing customer demand for prompt, realtime accessibility to content.

This potent response from consumers is guaranteed to fuel the growth with this progressive concept in 2019. As stated by Statista's account, the worldwide market price of AI is predicted to transcend over 89 billion US dollars by the end of the year 2025. From smart chatbots along with context-aware computing to predictive analytics and intelligent speech interpretation, the new advancements of AI are just tailored for android app development. 

Here is a complete list of this AI-based innovative Tips that companies have to begin integrating into their Android apps:

1. Auto Face Detection

AI combines face reorganization technology with Deep Learning features to enable devices to identify faces with 98 per cent accuracy. Face detection is a personal computer technology which does not only identifies and detects an object or person face within an virtual image/video but also access the function in various frames.

A growing number of organizations are using Image Recognition (IR) technology in their security-based and tracking apps to verify users from their faces, secure apps and confidential data, detect permit plates, and then unlock the phone. In accordance with the most recent news, programmers are currently hoping to execute its features for processing credit card payments only with a scan of your own face without having to swipe a card and also for the investigation of graphics to assess bank cards.

You can read more here about AI: 

https://www.testingxperts.com/blog/How-AI-Can-Be-Leveraged-In-All-Aspects-Of-Testing

2. AI Chatbots

Artificial Intelligence is bridging the gap between customers and businesses. The technology, in the shape of smart Chatbots, is currently becoming the most prevalent selection for brands to offer excellent conversational experience for their clientele. Even the AI Chatbots are absolutely able to not just manage multiple users simultaneously but also improve their query response with each conversation.

According to a survey, approximately 94 per cent of smartphone users feel the Chatbots provide them using the ideal optimum solutions to satisfy their requirements with personalized services and products or services. findings indicate that AI and its small agents -- chatbots -- are all here to stay for quite a very long time and alter the market in a number of good ways.

3. Image and Voice Recognition

Both Artificial Intelligence (AI) and Machine Learning (ML) have compact the search engine experience for users by letting them find via not just text but also images and voice. Most businesses will integrate voice recognition, app localization, and image recognition features in their own Android programs to improve the user experience in addition to conversion rate.

4. Strong Program Authentication

Experts say that most AI-based programs will be manufactured with parallel technologies including Predictive Evaluation and ML algorithms. This way, companies are going to be in a position to gather user data via pointofsale (POS) machines, cellular phones, and information sources, and then move through the collected information using algorithms to reduce app security concerns, frauds, and other dangers.

This will also help them locate key trends and adapt their app to deliver richer personalized and contextual experiences. Such apps may analyze the user behavior and alert to the customer about any questionable threats and violation vulnerabilities.

5. Landmark Detection

By detecting particular points in an image, AI allows you to automatically read various radiology pictures and detect both natural in addition to artificial structures within an image. Image recognition is of excellent use in pinpointing an image as a possible landmark against the geolocation visual and data game.

Even though AI isn't just a new idea, many businesses have yet to understand and implement several elements of Machine Learning in their program development. By using high level AI-powered features, organizations can significantly enhance the many prominent regions of Android apps including self-learning, security, image analysis, etc..