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Impact of AI on Mobile App Development and User Experience

People have become addicted, to their smartphones & spend hours on different mobile apps, from social media, shopping to gaming. AI will impact mobile apps.



Impact of AI on Mobile App Development and User Experience

Over these recent years, mobile devices, especially Smartphone’s, have become people’s basic necessity. With billions of these devices being online, the app development market has leapfrogged over these years. People have become addicted, to be fair and realistic, to their Smartphone’s and spend hours on different mobile apps, from social media, shopping to gaming.

Companies from a plethora of industries are utilizing mobile apps. For instance, on demand app development has increased over the years as on demand services launch their own apps to provide seamless services to their customers and attract potential customers. Not just this, technical industries like Oil and Gas, Automotive sector etc. are also using apps to get real-time analysis of the data received from IoT devices.

But the story doesn’t merely end here. With the advent of some of the most innovative technologies like Artificial Intelligence, mobile app development and designing is going to reinvent. Even the user experience of these mobile apps will be made much more intuitive and seamless. Let’s look at how AI will impact mobile app development and user experience of mobile apps.

1. Emergence of Self-Learning Mobile Apps

The actual impact of AI on these mobile apps will be clearly visible through the development of self-learning apps. It shouldn’t actually be a surprise now because an app can easily understand the user’s interactions with it and with the assistance of machine learning and artificial intelligence, it can deliver what the user wants without requiring a lot of on-screen activities or in basic terms, more inputs.

Emergence of Self-Learning Mobile Apps

With the complication level of apps getting higher and more advanced features added along with content, there will be a significant level of intuitive automation is required for seamless and smoother function of the apps without asking users to make too much effort. In this regard, AI will undoubtedly play a vital and pivotal role in moulding these self-learning apps. We will see wearable app development of health apps that will self-learn the user’s daily vital data, self-assess it and tell the user with important data using regular as well as emergency notifications.

2. Increased User Engagement

Boosting user engagement still remains to be the most competitive and crucial aspect of every mobile app that appears in the market. If an app doesn’t create consistent user engagement, then it won’t stand a chance in this present app market which is highly competitive. Currently, we have static algorithms which just interact with its users that are based on static preference categories. However, AI-based algorithms have the capability to go much deeper to understand the exact user preferences as well as crucial pain points. AI-based on a wide range of user response patterns along with user behaviour, can quickly boost the user engagement of the app, accordingly.

Increased User Engagement

AI-powered apps can quickly improve user engagement as it has tremendous information power. These apps collect a lot of information pertaining to the users that allow them to quickly analyse that particular user data to provide a solution to different user-related issues. Along with this, an AI-based algorithm is quite capable of collecting vital user information such as contacts, locations, purchase behaviour etc. All this information further helps in obtaining key actionable insights in order to serve the users better. Mobile app developers Dubai will have to quickly get into AI bandwagon to meet the growing demand for AI-powered apps, especially in the Retail sector.

3. Logical Reasoning aided by Automation

There is a swath of mobile apps that assist the users in addressing real-life problems via logical reasoning and understanding. With the assistance of AI, this particular logical reasoning of any particular app can easily incorporate automation within itself. Whenever an app is equipped with the capacity to understand a given problem of the user profoundly and provides a way to solve that particular issue by following logical reasoning, the human input or involvement become redundant.

Logical Reasoning aided by Automation

Such type of automation in the performance of mobile app tasks assists in delivering the seamless and smoother user experience. For instance, if a user is using a fitness band and an app which has in-built automation, it can suggest doctor appointment based on health-related data when a critical situation is detected. The user doesn’t have to keep track of his health stats to decide when to visit a doctor. This type of wearable app development can certainly revolutionize the health industry while providing a much better.

4. Tailor-made Intelligent Recommendations

A wide range of mobile apps often fails to rise due to being unable to address the specific problems of the customers. That’s the reason why e-commerce businesses usually take notice of user-preferences and provide customer-specific recommendations to significantly boost their sales as well as improve user experience.

Tailor-made Intelligent Recommendations

Also, a content-rich mobile app can easily recommend specific content to the users depending on their interests and past content accessed. Artificial Intelligence can tremendously improve user experience by analysing user data as well as usage patterns to provide tailor-made recommendations to the users quickly.

5. Providing Deeper Personalized User Experience

The most prominent aspect and advantage of AI in terms of user experience is the level of personalization it offers. AI-powered algorithms, as well as mobile APIs, can easily assist the mobile app developers in creating customized routines along with scheduler for the users of any app. For instance, Amazon has revamped its entire user interactions as well as user experience with the assistant of AI technology.

Providing Deeper Personalized User Experience

It is not only utilizing AI-based recommendation engine in order to offer the most useful products for every specific user but also assisting every user in shopping via AI-enabled chatbots. These chatbots are regularly updated about the customers that result in it recommending every individual customer receiving personalized suggestions. This helps in converting more sales. Mobile app developers Dubai have to inculcate these AI-based chatbots in e-commerce projects in future.


The overall impact of AI in every aspect of people’s lives and all types of industries can’t be gauged. Same is for the mobile app development industry. With the emergence of IoT, IoT app development has already changed many app development sectors pertaining to corresponding industries. Coupling with AI, not only those industries, but the rest of the industries will get transformed. Mobile app developers have to get on the bandwagon on risk getting left behind. AI will certainly revolutionize mobile app development and to a much greater extent, the user experience of the apps.

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Tarun Nagar is the Founder & CEO of Dev Technosys, a global ranking Web and Mobile App Development Company. With 10+ years of experience of enabling then Startups which are now global leaders with creative solutions, he is differentiated by out-of-the-box IT solutions throughout the domain.

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AI Tools

A Guide To Using AI for Knowledge Management

Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive.




In the digital era, the fusion of AI technology with knowledge management is revolutionizing the way organizations manage and exploit their informational assets. Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive. Keep reading to unlock the full potential of AI-driven knowledge management.

1. The Intersection of AI and Knowledge Management: A Synergy Explained

Knowledge management traditionally involves capturing, organizing, and distributing knowledge across an organization. When AI steps into this territory, the potential for enhanced efficiency and decision-making emerges. AI algorithms can sort through and analyze data at a rate no human can match, revealing patterns and insights that can be critical for strategic planning. This melding of AI with knowledge management practices is a modern alchemy, creating an invaluable resource.

One of the most significant benefits of integrating AI into knowledge management is the automation of data processing. AI systems can continuously learn from new data, refining their algorithms and providing even richer insights over time. Moving from static data repositories to dynamic knowledge hubs, businesses are now armed with constantly evolving intelligence. This represents a profound shift from data being a static historical record to a dynamic, predictive tool for decision-making.

Using AI for Knowledge Management is a top solution

Customization is another strong suit of AI in this space. Rather than one-size-fits-all information resources, AI can personalize knowledge dissemination to the needs of each employee. The focus moves beyond mere information access to ensuring the right knowledge reaches the right person at the right time.

2. Implementing AI in Your Knowledge Management Strategy

Transitioning to an AI-driven knowledge management system begins with identifying the scope and objectives of knowledge needed. Organizations must be clear about the kind of knowledge that is most valuable and how AI can aid in its cultivation and dissemination.

Following initial evaluations, the selection of appropriate AI tools and technologies becomes the next crucial step. There are various AI solutions designed for specific knowledge management tasks, from natural language processing for content analysis to machine learning models that predict trends and behaviors.

Integrating AI requires a cultural shift within the organization. Employee buy-in is crucial, and it is important to address any concerns about job displacement head-on. Training and educating the workforce on the benefits and use of AI systems can facilitate smoother adoption, ensuring everyone understands the role of AI as a partner, not a replacement, in the knowledge ecosystem.

3. The Impact of AI on Knowledge Retention and Dissemination

An AI chip sits in a computer

The true value of AI in knowledge management is often most visible when assessing knowledge retention and dissemination within the organization. AI-driven systems can significantly enhance the ability to capture institutional knowledge, store it and make it available in engaging, interactive formats that increase retention.

Analytics are also central to measuring the impact of AI on knowledge management. By evaluating these metrics, businesses can see whether the knowledge is being leveraged effectively, which areas may need more focus, and where improvements can be made.

Furthermore, AI can be a boon for training and development programs. By adapting to the learning pace and style of individual employees, AI can deliver personalized training recommendations and content, leading to more effective learning outcomes.

Altogether, AI is transforming the realm of knowledge management with its capacity to automate, personalize, and revolutionize how information is processed and utilized. Challenges notwithstanding, the rewards of integrating AI into knowledge management strategies are profound, paving the way for smarter.

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