Artificial Intelligence in Mobile Applications [2024 Overview]
Curious about the use of AI in mobile apps in 2024? See how it’s making mobile solutions personalized while addressing privacy and biases.
Artificial Intelligence in Mobile Applications: Trends and Challenges
AI is no longer some alien concept we can’t properly get a hold of. In fact, we benefit from artificial intelligence in mobile applications on a daily basis, occasionally being completely blind to this fact. For instance, have you ever stumbled upon those recommendations on Netflix or Spotify? That’s AI working hard to ensure users enjoy the most relevant content tailored to their preferences and needs.
However, AI functionalities are not limited to personalized recommendations; there’s so much more to these technologies. So, let’s figure out what’s behind the scenes and what to expect in the future.
Crucial AI Concepts in Mobile Applications
Artificial intelligence relies on several key technologies. The most important ones are machine learning and natural language processing.
As part of AI, machine learning allows apps to learn from user data, adapt to new inputs, and decide effectively. For instance, ML algorithms analyze people’s behavior to offer personalized recommendations or improve app performance.
ML’s role is immense, ranging from fraud detection and spam blocking to task automation and business operations improvement. But the catch lies in the fact that this technology is demanding in terms of knowledge and resources. To address this matter some businesses hire Python developers specializing in ML, while others use ready-made AI-powered platforms to improve their operations.
At the same time, natural language processing enables human language interpretation. This technology is behind the scenes for chatbots or virtual assistants, as it allows them to understand user queries and generate relevant responses.
With an embedded voice recognition feature, Siri might serve as an example.
AI in Mobile Apps: Real-World Examples
Businesses across various industries leverage artificial intelligence for app development. The use cases range from music editing to plant identification. So, let’s explore some examples of AI-powered apps:
- Moises: an AI-driven app that scans any song you upload. It isolates each main instrument stem and separates them into different tracks, allowing you to adjust the music however you want. For example, you can mute just the vocals.
- Otter Voice Notes: a note-taking app that utilizes voice transcripts. The AI behind it allows you to add punctuation, paragraph breaks, and automated summary notes.
- Microsoft Math Solver: a prominent example of AI mobile apps that help with math. It allows you to draw or type equations and even take photos of your handwritten work.
- Colorize: AI-based photo restoration app that essentially takes any black-and-white photo and then instantly colorizes it.
- StarryAi: an AI-driven app that generates images based on users’ prompts, and the results are pretty impressive!
- Dina: a weather app that uses AI to recommend what clothes to wear depending on weather conditions.
- PictureThis: an AI-based app that allows you to scan any plant using your phone’s camera. Then, it attempts to identify its kind, detect potential problems & suggest treatment ideas.
Challenges and Concerns
The Cost and Integration Struggles of AI App Development
Around 70% of developers have integrated AI into their solutions or intend to do so. However, dealing with artificial intelligence in mobile app development is not simple; developers face many challenges. For example, they need to optimize AI models, which can potentially drain batteries and slow down apps.
Besides, artificial intelligence is demanding in terms of infrastructure and financial resources. For instance, in 2023, the banking sector spent about $20.6 billion. The retail industry wasn’t far behind, investing $19.7 billion globally. Overall, the world poured a whopping $154 billion into AI systems that year. And get this – experts predict that by 2026, that number could double, reaching over $300 billion.
Dealing with Bias in AI
Several cases prove that AI shows potential for bias. For example, Amazon stopped using its hiring algorithm because it favored words like “executed” or “captured,” which were more common in men’s resumes.
User Privacy Protection
Despite all the benefits of artificial intelligence in mobile applications, the public doesn’t seem to be at ease with the latest technological advancements. 53% of Americans feel that AI might have a negative impact on data protection. These concerns do not appear out of nowhere, as AI-driven apps need access to user data to train models, which can lead to privacy violations.
The Future of Mobile App Development: The Role of AI
In 2024, we expect even more personalization and context-awareness thanks to artificial intelligence in mobile apps. Our ‘pocket friends’ can offer content based on our surroundings or tailor the interface to how we act.
Besides, security will also be one of the top priorities in the future of AI mobile app development. Developers will use security-preserving techniques to address privacy concerns.
Plus, AI algorithms will be able to spot potential app issues better and allow IT specialists to tackle them quickly, significantly improving users’ satisfaction.
Developers are also working on making users’ experiences more inclusive. For instance, AI enables voice-to-text features for visually impaired audiences.
Conclusion
Let’s recap: currently, the future of artificial intelligence in mobile applications seems promising, that’s a sure thing! While AI makes our lives easier and improves our day-to-day experiences, it still comes with some concerns and issues to address. But that’s not the reason to get discouraged since some innovations, such as context-aware and inclusive apps, might be just on the horizon!