There are several ways artificial intelligence (AI) is transforming the mobile app development landscape. According to recent studies, the global artificial intelligence market is expected to reach nearly $267 billion by 2027. With a compound annual growth rate of over 30%, companies are undoubtedly increasing their AI investments to provide more advanced technology for their end-users. Indeed, one of the major driving forces behind AI’s growth is its power to improve customer engagement through higher personalized services.
As a mobile app development business manager, you need to know how artificial intelligence is transforming the industry. This way, you can leverage the technology to its fullest potential. Read on to discover the most important ways AI is transforming the mobile app development landscape.
Virtual Assistants
First, AI-powered virtual assistants are gradually becoming an industry standard for mobile applications. Importantly, voice assistants and chatbots rely on data and machine learning algorithms for proper programming. Fortunately, there are many tools developers can use to streamline the build process for creating these technologies. For example, you can use open-source speech recognition frameworks to develop voice assistants. In addition, there are many powerful platforms to build chatbots as well.
Notably, these virtual assistants allow for nearly 70% of customer service conversations to take place through human-less channels. This can streamline communication for many business owners and free up their team’s time to complete other tasks. Thus, companies are more likely to partner with mobile developers who can build virtual assistants for their mobile apps. Undoubtedly, AI-powered virtual assistants impacting the mobile app development process.
Increased Need For Scaling
In addition, artificial intelligence is also increasing the need for scaling. Naturally, AI algorithms and data sets can significantly increase the size of your workload. Therefore, many mobile developers are running containerize environments to streamline their scaling procedures. With this platform, you can manage your containerized and AI-enabled workloads. Additionally, Docker registries are great tools to store container images and manage your deployments.
For example, you can install JFrog’s Artifactory Docker registry to access massively scalable storage for your mobile developments. Indeed, this container software can accommodate data-laden repositories and support your enterprise as you grow. In short, AI is increasing the need for scaling in the mobile development industry. Thus, you may need to install new tools to manage your workloads.
Image Processing Tools
Next, AI is also transforming mobile apps through image processing tools. Using this technology, many advanced cameras can now detect the subject within a frame. Then, it can adjust the settings accordingly to capture the clearest image possible. Artificial intelligence and machine learning can also identify facial features for automatic image enhancement. For example, some applications use AI-driven image processing tools to create photo lenses.
In addition, some image processing libraries also support arrays. With these, you can slice, mask, and modify pixels in the image quickly and easily. As more applications are integrating cameras for profiles and image sharing, AI image processing tools are increasingly important in the mobile app industry. Therefore, image processing is another key way that AI is revolutionizing application development.
Predictive Analysis
Moreover, AI is also transforming the mobile development landscape through predictive analysis. For example, many ecommerce and on-demand applications rely on machine learning. Importantly, many marketers use this technology to understand customers’ choices and preferences. Then, they can optimize their inventory decisions. For instance, restaurants can collect customer data using these algorithms.
Then, the technology can send business professionals recommendations based on their search requests, location, preferences, and age. AI is also driving personal recommendations for advertisements in applications. To get started integrating this technology, you can install an AI platform. Of course, look for these capabilities before completing your installation.
Improved Security
Furthermore, you can also use artificial intelligence to increase security in your mobile applications. AI is empowering multi-factor authentication for personal accounts. For example, this technology is used to power biometrics, such as facial and fingerprint recognition software. In addition, it can also rectify security issues by alerting users about potential threats and vulnerabilities. This is because AI systems provide a high rate of data processing. With these protection advantages, many financial institutions are seeking AI-powered applications. Absolutely, AI is changing mobile app security to prevent data breaching and hacking.
There are several ways artificial intelligence is transforming the mobile app development landscape. First, virtual assistants are improving customer service experience across a diverse array of industries. Next, image processing tools are also enhancing applications that utilize smartphone cameras.
In addition, AI is increasing data workloads, requiring more scaling. Therefore, many developers are using Kubernetes and container registries to streamline these procedures. Furthermore, AI also improves security in mobile development. Consider these ways artificial intelligence is transforming the mobile app development landscape.
