AI Will Be A Mainstay In App Development

Artificial Intelligence (AI) is no longer just a buzzword. It’s real, and it’s even infiltrating the App world. Today, AI is coming into its own as a way to simplify tasks that were once thought to require human intelligence.

What is AI? AI is basically the simulation of human intelligence processes by machines, especially computer systems. Put more simply, it means teaching computers to behave like humans do in order to perform tasks traditionally done by them.

Eventually AI will be used for everything from creating digital assistants with conversational interfaces to improving efficiency in data mining operations and processing Bitcoin payments.

There are numerous ways to incorporate AI into your App, from voice recognition to photo tagging to pre-processing data. Let’s talk about how AI is making breakthroughs in the App world. We’re going to focus on three major areas where Apps are adopting AI technologies:

1. Applying AI to voice and text recognition/translation

This technology can give us everything from auto-translating Apps like Google Translate to speech recognition software that converts speech to text. We no longer have to memorise foreign words and phrases; with a few taps we can have them translated into our language—right then and there.

2. Using machine learning capabilities in AI software tools 

We already use some of these tools, Apps such as Shazam for music or Pocket for reading articles. Now they can be used in Apps to boost your product awareness. For example, image recognition scans the image you’re looking at and tells you which company it might be from. Or app recognition scans an article and gives you the option of saving it.

3. Preprocessing data for machine learning operations 

Now that we have a better understanding of the data our App is using, we can use machine learning to analyse it and come up with actionable insights. These insights can also be used to make predictions—one of the underlying technologies behind AI.

Algorithms from machine learning can be applied to a wide range of problems, including sorting and pricing items on Amazon, forecasting demand for flights or predicting rates of skin cancer. There is even an algorithm that analyses YouTube videos and tells you how long ago they were uploaded.

Combining data from sources such as user behaviour, internal analytics and the search engine’s algorithms instead of just analysing data coming from one source (an external source such as Google AdWords), data can also be combined across different sources (e.g. Google Analytics vs. app-related data).

Conclusion

Lastly, let’s talk about how you can start the AI process for your app. To begin, you need to find a team of AI experts like those at Elegant Media. Now that you’ve decided to include AI in your App, you need to figure out how much of it you want to implement.

Knowing exactly what capabilities a particular AI software tool has and how it will fit into your App is the first step toward success. This can be done by developing your own internal research team or using a firm that specialises in this area. AI technology is still new and requires highly trained professionals for implementation.

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