Artificial intelligence is the new buzz word trending across multiple industries in the past few years. As several tech giants continue to expose interest in AI investment, users will continue to witness more technologies being integrated into an increasing number of applications and products. While AI technologies have seen beneficial adaptations in the education, healthcare, and finance sectors, It’s the mobile app development that sees huge scope and evolves as one of the promising areas for Artificial Intelligence. Let us see about how AI is used in Mobile Apps.

In this article, we will provide insights on the overview of AI, how it impacts businesses, and brief on the various machine learning models. 

Brief on Artificial Intelligence 

Artificial Intelligence (AI) is the capability for the system to perform data analysis on an unstructured set of data, infer conclusions, and also executes tasks automatically. In short, Artificial Intelligence is the system with intelligent behaviors and the ability to make an autonomous decision. Due to its versatility, AI is extensively used in many verticals. Some of the most common and advanced AI applications are Speech Recognition, Machine Learning, and Machine Vision. 

Why Artificial Intelligence (AI)?

Customers demand more customized experience:

The advancement of Artificial Intelligence has enabled customers to reposition the benchmark value of the current user experience. They have started to expect more personalized and in-depth mobile app performance. 

The collection of data and analysis on your customer’s location, past purchases, preferred brands can enable brands to offer customized and personalized user experience with more unique recommendations. By leveraging Big Data and AI it is easier for brands to offer a more personalized experience. Some of the other benefits are improved app performance, connectivity, and security 

You might wonder, how can heaps of data being collected and stored in your mobile device, when you don’t have enough space for your files. Once the data is collected, it is then transferred to the cloud storage for computation and back to the device. 

 How Will Mobile AI Impact Businesses?

Retail giants such as Amazon, Flipkart, and eBay have already demonstrated the potential of using AI mobile apps. With technology advancements and an increase in customer demands, AI mobile app could be a new digital frontier for businesses. The applications and devices make use of the algorithms to adjust based on the learning behavior. 

The majority of the companies are implementing these algorithms into various products to secure customers further into their system. These tech developments help businesses to offer personalized service with more individual recommendations, engage users deeply, and provide more benefits in using their service. One of the popular examples is Amazon’s Prime which works well when integrated with the Echo. 

These learning-driven apps collect the data through the point of sales, mobile devices, online traffic to strategically enhance the user experience. The AI algorithm will sift through this data to find the trends and adjust the apps to create more context-rich and meaningful opportunities to engage customers.  

New Opportunities For Mobile App Development

The development of artificial intelligence is driving the whole trend of the new class of mobile app opportunities. Since the beginning of Apple’s Siri, AI has been influential in mobile app development and has more potential to advance furthermore in the future. The new enhancement in Machine Learning and AI brings a revolutionary shift in such a way that businesses, developers, and customers prefer intelligent interaction with mobile applications. Hence, there is a huge expectation from the users for a seamless and intuitive user experience with the apps. 

 Examples of new setting standards

Amazon Alexa

As mentioned above, Amazon’s Alexa is a new setting standard for AI implementation. This voice-controlled assistant enables Amazon to stay ahead of the competition. Alexa has already been integrated with a large range of appliances. However, users expect more than just voice recognition and seek more utility features like predictive messages and context-aware computing. 

Some of the benefits of this voice-controlled assistant:

– Lets users communicate with apps intuitively and seamlessly with natural language. 

– Voice control and mobile app will combine into a great customer experience that will minimize the number of challenges that users have 

Machine Learning Models on Mobile

Object Detection:

Object detection has been the main focus of several AI researchers. A computer sees an image as an array of data that instructs the system, how to provide image pixel by pixel. The computers must be provided large amounts of labeled data to infer objects within videos or images. For instance, a computer must be provided with millions of labeled cat photos to recognize a cat photo. 

After providing with heaps of data, the system can now compare with the image it has seen and analyzed. Utilizing CNN (Convolutional Neural Networks) the system will analyze a small set of pixels, with each iteration the system calculates the probability for the type of the image based on its training. 

Speech recognition 

The next important aspect of AI is Speech Recognition, which can accurately and automatically recognize the natural language of humans. Conversational User Interfaces powered by speech recognition are swiftly shaping to be a valuable replacement for Graphical User Interface (GUI)

Chat Bots

Chatbots have always been the top priority since the rise of mobile technology. The attractiveness of messaging apps (chatbots) is fueling the growth of AI as they can play a huge role in customer support and enhance user experience. 

Productivity apps like G Suite and MS office 365

Microsoft Office 365 and Google’s “G Suite” are great examples of productivity apps. These apps employ Artificial Intelligence to create and streamline efficiencies. These productivity apps provide access for auto-generated email responses which require a short response.

Microsoft has been implementing AI technologies like Delve and Office Graph. These are underlying system which collects data about interactions between objects (documents or other contents) and users. Delve enables customers to pass through the heaps of information and helps them to see things that are most relevant to them first. 

Takeaway

As Artificial Intelligence continues to evolve and use data for its learning process and make predictions, it will become an essential aspect of mobile development space. If a business wants to harness the customer data to enhance the performance, integrating intelligent mobile apps becomes an essential part. The AI becomes an inseparable part of whether you are looking for a different approach to segment your customers, gain a deeper understanding of the analytics or optimize your messaging.