The penetration of mobile apps into our daily lives can literally be termed as “all-encompassing”. There is no facet of modern life where the mobile app has not yet made itself felt. With the coming of Artificial Intelligence (AI) and Machine Learning technologies into the arena of mobile apps, the penetration looks even more robust and promising than ever before.
AI is capable of mimicking human reasoning, and Machine Learning being capable of learning and get trained by human interactions can make the mobile app interactions smarter than ever before. The AI component plays the most valuable role to help apps follow human reasoning and interact with users in a more humanely manner.
How can developers use AI to improve mobile app development?
The developers are already using AI to incorporate smarter and more audience-specific capabilities and features into mobile apps. Here we are going to have a brief look at the key ways app developers can use AI as a value addition to their development process.
The most simple and straightforward intelligence is all about learning by trial and error. Making an algorithm learn about human interactions and accordingly training it for future responses and interactions are what Machine Learning is all about. When repeated uses and interactions learn the solution for certain problems, the machine can respond with the solution that it has considered as useful previously.
The second most important aspect is to enhance the reasoning capability of the machines while interacting with human beings. Developers, while building AI-based apps, try to draw proper referenced and inferences as much as possible to help machine algorithm grab the logic and reasoning behind actions and interactions in a variety of use cases and scenarios.
As an increasing number of people look up to mobile apps for problem-solving in real-life situations, the machine intelligence trained with human reasoning can help solve many problems simply by referring to the past use-cases and solutions to problems. The problem-solving ability of AI technology is a key aspect that mobile app developers are banking on.
How Are AI-based mobile apps impacting daily life?
Artificial Intelligence (AI) has already been a vital constituent of a plethora of mist sophisticated, cutting-edge and advanced mobile apps across the niches. From eCommerce stores to the Internet of Things (IoT) apps to linguistic interpretation and addressing security concerns, the AI-based mobile apps are continuing to make bigger and broader impacts on all facets of daily life.
Personalized user experience is a crucial app development trend that is helping app developers to deliver unique user experience based on user preferences and contexts. Thanks to AI, for any mobile app development company engaging the users, has become a lot easier since AI always focuses on the user’s needs and preferences before delivering a solution.
For example, based on the past user behavior, the preferred timing and specific needs, the AI-powered notification engine can send user-centric notification messages at their preferred time and right when they need them most. This obviously enhances user engagement to a great extent.
Based on user behavior, the contexts of use and past user data it uses crucial for the app to personalize specific interactions, contents and design elements. This personalization of mobile apps has received a big boost through the use of AI-powered mobile apps. As the machines are increasingly getting equipped to predict the user needs and behavior, AI-based mobile apps will continue to reap this advantage for boosting user engagement and business conversion.
A connected ecosystem of devices and AI
AI continues to play a promising role for the connected ecosystem of devices we generally call as the Internet of Things (IoT). Through these smart devices and their connected app interfaces, mobile apps are making a more significant presence with never before penetration into our daily lives. Now, you can control all your smart home lighting systems through a connected IoT mobile app right in your handheld device. Or, you can track your fleet of on-road vehicles connected through smart sensors right on your mobile device. An AI-enabled smart clock now by learning about your sleeping patterns can wake you up just when you need.
AI Boosting the App Security
AI is also making a significant presence in the security measures for mobile apps. Preventing malware threats and ensuring optimum data and network security are key concerns of most mobile apps since such security vulnerabilities have huge impacts on the user privacy and utilization of applications.
AI in more than one way can boost mobile app security and can positively impact our daily life. Here are some of these ways.
· AI-based protocols can detect security vulnerabilities at the very initial stage and can prevent a security threat penetrating deeper by predicting based on past data, user behavior and irregularities.
· AI can effectively and efficiently filter out a plethora of inappropriate and vulnerable contents and materials that can get into an app through social media or other channels.
· AI following cognitive structure and behavioral science helps to maintain the right balance between security protocols and accessibility.
· Identifying fraudulent transactions and interactions based on earlier user behavior and detecting irregularities.
AI-based personal recommendations
Most mobile apps catering contents or products or services to its consumers, primarily focuses on building great relationships through personal recommendations based on artificial intelligence. From the music app recommending music based on the user preferences and past browsing history to eCommerce store recommending products based on past purchases and transactions, AI is now playing a pivotal role in allowing mobile apps to make personalized suggestions of products, contents and services.
The impact of AI-powered mobile apps in our everyday life is so vast and encompassing that this has literally transformed the audience engagement and interactions within a span of few years. This can be rightfully presumed to be just the beginning of a new era of intelligent apps.