AI in App Development is revolutionizing the industry, as artificial intelligence (AI) is transforming how we interact with technology, and it’s no different regarding app development.
By harnessing the power of AI, developers can create more efficient apps, improve the user experience, and even add new and previously unseen features.
In this blog, we’ll explore how AI can be integrated into the app development process and discuss some of the benefits and considerations to keep in mind.
We’ll also see some examples of successful AI-powered apps developed by NeoITO and offer valuable insights on progressing AI in app development projects.
With AI, the possibilities for app development and AI-based apps are endless – so let’s get started!
Can we use AI in App Development?
Yes, ask how!
Artificial Intelligence is a rapidly growing market, with a projected worth of over $126 Billion by 2025, according to Statista.com.
In app development, AI plays a crucial role by allowing the creation of intelligent applications that can address and simplify human needs.
Utilizing AI in app development can bring many benefits, from cost savings and increased efficiency to improved user experience and increased competitiveness, all of which can make businesses stand out from the competition through improved user engagement and increased retention rates.
How to use AI in App Development?
There are several ways to implement AI in mobile apps, depending on the specific use case and the desired capabilities of the app.
A few ways AI can power the app development process are
- Use of pre-trained AI models: Several frameworks and libraries provide pre-trained AI models that can be integrated easily into apps without minimal development work by app developers. Examples include image and object recognition.
- Cloud-based AI services: Amazon Web Services and Google Cloud offer APIs for accessing AI services. Mobile apps can use these services to enhance capabilities such as image recognition, speech recognition, machine learning, and natural language processing.
- Creating custom AI models: Developers can use machine learning frameworks like TensorFlow or PyTorch. These models can be trained on specific data sets upon integration into the app.
- Integration at the server level: AI workloads too heavy for a device may need to be executed on a server and accessed through APIs.
- Offline Processing: Recent advances in machine learning has made it possible for AI workloads to be processed even on offline devices.
To properly and efficiently implement AI in the app development process, developers must understand AI and know how to work with frameworks and libraries.
Advantages of using AI in App Development
Even though the benefits of AI do not fit into a list, here are some of the main benefits for an AI app development company:
- Improved efficiency: AI can give developers better suggestions and enhance their code quality, making app development more efficient.
- Increased competitiveness: AI can help developers create unique and innovative features that differentiate their app from others on the market.
- Data-driven decision-making: AI can help developers make data-driven decisions by providing insights and analysis based on app usage data.
- Cost savings: AI can help reduce the time and resources needed for app development, leading to cost savings.
- Improved accuracy: AI can help improve the accuracy of specific tasks, such as data entry or image recognition.
- Enhanced security: AI can improve app security by detecting and preventing fraudulent activity.
Disadvantages of using AI in App Development
- Dependence on data: The accuracy of AI algorithms depends on the quality and quantity of data used for training them. If the data is biased or inadequate, the AI model may not perform as well.
- Lack of transparency: Some AI models can be challenging to understand and interpret, making it hard for developers to know how they make decisions.
- Ethical concerns: Ethical concerns surrounding the use of AI, including issues related to privacy, bias, and accountability, are of grave importance. AI app developers should be aware of these issues and take steps to address them during an AI & ML development process.
- Cost: Implementing AI in app development can be expensive, requiring specialized knowledge and resources.
Use cases from NeoITO
- Waitwhile is a virtual waitlist app and queue management platform that lets guests join virtual waitlists and book appointments while automating customer flows.
- Because of the use of predictive analytics to estimate wait times (up to 30% more effective than humans), it drives thousands of businesses across 100+ countries.
Also Read : The success story of Waitwhile
- Daily AI is an AI-driven, all-in-one suite of intelligent solutions for mortgage professionals.
- Its intelligent software and automation features help to close more deals, scale operations, and increase ROI.
Also Read : The success story of DailyAI
- Lawli is a fast, low-cost, intelligent legal assistant enabling firms and businesses to compete in constantly changing markets.
- Powered by AI, Lawli provides legal document processing functions at a fraction of the cost and amount of time needed for existing services.
AI has the power to revolutionize how apps are built by companies worldwide. Implementing AI in development significantly enhances developers’ capability and the company’s potential to build world-class applications.
The relevance of AI app development is becoming increasingly essential and is poised to become a vital component of app development. Investing in AI is wise for any business looking to stay ahead in the competitive app development world.
What apps are using artificial intelligence?
A few ways in which the integration of artificial intelligence in app development has made a difference are:
- Virtual assistants like Apple Siri, Google Assistant, and Amazon Alexa use AI to interpret and respond to voice commands.
- News apps like Flipboard and Feedly use AI to create personalized news feeds for users based on their interests.
- Translation apps like Google Translate use AI to translate text and speech between languages.
- Finance and banking apps using AI for fraud detection and prevention.
- Image recognition apps like Google Photos use AI to identify and label objects and people in photos.
- Recommendation systems in apps like Netflix and Spotify use AI to suggest content to users based on their past activity and preferences.
The examples listed above are just the tip of the iceberg since the applications of AI are endless.
How much does it cost to incorporate AI in an App?
Several factors can impact AI apps development costs, such as
- Data and research expenses.
- The number and type of app features, such as process automation, machine learning, etc.
- The chosen app development platform (iOS or Android or Web).
- The complexity of the app development process.
- The use of third-party APIs.
- The location of the AI app developers.
All these factors can influence the overall cost of developing an AI app.
Will AI replace app developers?
Not soon, at least.
AI can automate specific tasks and processes in creating artificial intelligence apps. However, it is still necessary for humans to oversee the development process and make strategic decisions to understand how to build an AI app. AI can assist app developers by automating specific tasks but cannot replace a human developer’s creativity and problem-solving skills in an AI application development platform.
Instead, AI is more likely to work alongside app developers, providing support and enabling them to work more efficiently. App developers must stay up-to-date with the latest AI technologies and tools to take advantage of the benefits they can offer.