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The growing impact of Artificial Intelligence in mobile apps

By :
2 minutes, 41 seconds read

Change is the need of time and advancement in technology is instrumental to drive innovation. Mediums of interaction with machine changes and calls for developers to be on edge to facilitate digital transformation. By the end of 2020, there’ll be over 6.1 billion smartphone users in the world, which will support almost every cutting-edge technology. In this article, we’ll discuss the growing impact of Artificial Intelligence on mobile apps.

Businesses around the world need a dynamic approach to ensure the best customer experience and AI is helping facilitate this strategy. Whether it is the health or manufacturing industry or logistic processes, Artificial intelligence is making operations and personalization a lot more convenient.

The impact of Artificial Intelligence in mobile apps

Extensive use of AI in mobile applications is becoming a new trend. Artificial intelligence is enabling mobile apps with precise, convertible, accessible, and customized options; thus, enhancing the functionalities and performance.

To avail the maximum benefit of AI in mobile technology, one needs a deeper understanding and right approach to improve mobile app user experience. The following are ways to leverage AI in mobile applications.

1. Accurate results

Artificial intelligence works on large data sets, considering every possibility and mapping. Industries like healthcare, which requires a high degree of precision, can harness AI to deliver accurate results. AI promises greater accuracy in medical diagnosis than traditional manual processes. Thus, while building mobile apps where accuracy is prime, AI can bring many positive solutions.

Also read: The Next Big Thing for Big Tech: AI as a Service 

2. Real-time forecasting

The integration of AI in mobile apps can help in real-time predictions. There can be multiple activities in a day, which are difficult to keep track of. By keeping track of the schedule, finding a correlation with external environments like traffic, weather, etc. a lot of time and energy can be preserved.

This attribute can be used in education applications to predict current affairs. Not only this, but AI can also help in correcting and formulating emails.

3. Customer experience

Most of the mobile apps are exclusively targeting customers and are designed according to the respective business modules. But, when it comes to customer behavior, every single individual is different from the other. AI can add the advantage of personalization in customer-facing mobile applications. Moreover, this is achievable at scale; i.e. the technology accommodates itself to individual user preferences.

More: AI in Mobile Development 

4. Personalized experiences

Search engines are becoming smarter and they’re incorporating AI and NLP to understand user intent and behavior on their platforms. Similarly, mobile apps can also leverage AI to understand their user and optimize search results based on their objectives. Users need not remember what they searched for a week ago because their app will do it for them. 

AI coupled with augmented reality is the next revolution in mobile apps. Users can get visual causes about the objects in a real-life situation. Apparel, cosmetics, and home decor industries are already deploying this technology to enhance customer experiences.

Final Words

The integration of AI in mobile apps is the need of the hour. The system will take time to evolve, but when it will, we’ll be dwelling into a whole new world of digital experiences. 

This article is contributed to Mantra Labs by Tayla Scurry. 

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Design Systems: Building and Maintaining Consistent UI/UX

In the world of product design, consistency is the cornerstone of delivering a seamless user experience. As digital products evolve and scale, the challenge of maintaining design consistency across multiple platforms, teams, and touchpoints becomes more complex. This is where design systems come in. A design system is a comprehensive set of guidelines, components, and tools that help designers and developers create a consistent and cohesive user interface (UI) and user experience (UX). From a designer’s perspective, building and maintaining a design system requires a strategic approach to ensure scalability, flexibility, and alignment with business goals.

Why Design Systems Matter?

Design systems are more than just style guides or pattern libraries. They offer a unified language for design and development, bridging the gap between creativity and functionality. Here are a few reasons why they are critical:

  1. Consistency Across Products

      One of the primary goals of a design system is to ensure uniformity across different platforms and devices. When users interact with a product, whether on a website or a mobile app, they expect a consistent experience. A well-implemented design system ensures that visual elements, interactions, and behaviors are aligned, offering a familiar and intuitive experience for users.

2. Faster Iteration

      With a design system in place, teams can reuse components and patterns rather than reinventing the wheel for each new feature. This speeds up the design and development process, allowing teams to focus on solving new problems instead of reworking existing designs. For designers, it means less time spent on repetitive tasks and more time dedicated to innovation.

3. Scalability

     As products grow and new features are added, maintaining a coherent UI/UX without a design system can become chaotic. A design system provides a scalable framework, enabling teams to add new elements or modules without compromising the overall consistency of the product.

4. Improved Collaboration

      A design system