Creating an AI Application: A Simple Guide for AI App Development Newcomers
The world of app development is undergoing a significant transformation, thanks to the integration of Artificial Intelligence (AI). AI is being used in two primary ways: creating AI apps and creating apps using AI, and the global market for AI is expected to show robust growth in the coming decade, with its current value of $100 billion USD expected to grow to nearly two trillion USD by 2030.
Creating an AI App
Building an AI app requires extensive research and tailored efforts due to the unique nature of each project. The first step is to define the app's goals and scope, including studying the targeted audience and competitors, defining the purpose of the app, and establishing what type of AI app to develop.
The second step is to find reliable tech partners. This may involve exploring machine learning frameworks or libraries like TensorFlow, PyTorch, or Spar ML. Popular options for no-code AI app development include Glide, Bubble, Replit, Knack, and FlutterFlow.
Once the tech stack is finalized, the app can be designed and developed. Creating wireframes and prototypes is crucial to validate the app idea. The components of the app can then be built using frameworks. The AI functionality, such as chatbots or data analysis, can be integrated at this stage.
Rigorous testing is essential before deploying the app. Once the app is built and tested, it can be deployed on the app stores or distributed through preferred mediums. It's important to note that once the app is launched, it will need to be maintained and updated frequently.
Creating an App Using AI
AI can enhance the features, feel, and performance of apps. For example, AI can simplify and fast-track several activities that traditionally took hours to complete. AI technology is being used across several realms, including natural language processing, speech recognition, business process automation, and more.
An example of creating an app using AI is CoreML and GitHub Copilot. AI technology is already being used in various ways, such as answering customer queries on support channels and tracking the mood and activities of individuals.
The Future of AI in App Development
AI is changing the game of app development to colossal extents. It's empowering developers and changing the app development industry for the better. From healthcare to real estate, fitness to education, AI is everywhere, making tasks more efficient and user experiences more personalized.
The launch of ChatGPT has led to a surge in discussions about AI, and it's clear that AI will continue to play a significant role in the future of app development. Whether you're a non-technical entrepreneur or a seasoned developer, the possibilities are endless with AI.
[1] No-Code AI Platforms: A Comprehensive Guide for App Development (2022). Retrieved from https://www.no-code-ai.com/guide/
[2] The Future of AI in App Development (2021). Retrieved from https://www.forbes.com/sites/forbestechcouncil/2021/05/06/the-future-of-ai-in-app-development/?sh=7a0509a8766e
[3] The Rise of No-Code AI App Development (2021). Retrieved from https://www.techcrunch.com/2021/03/15/the-rise-of-no-code-ai-app-development/
[4] A Brief History of Artificial Intelligence (2021). Retrieved from https://www.investopedia.com/terms/a/artificial-intelligence.asp
[5] The Cost of AI App Development: Factors to Consider (2021). Retrieved from https://www.clutch.co/artificial-intelligence/resources/cost-of-ai-app-development
No-code app builders, such as Glide, Bubble, Replit, Knack, and FlutterFlow, are popular options for developing AI apps without needing extensive coding skills.
With the integration of Artificial Intelligence (AI) in app development, the future promises more efficient tasks, personalized user experiences, and an endless pool of possibilities for both non-technical entrepreneurs and seasoned developers alike, making AI technology a key player in transforming the app development landscape.
