How Artificial Intelligence Is Helping Developers To Create Innovative Apps

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The Artificial Intelligence (AI) revolution is taking the world by storm, producing new possibilities and giving every industry around the world a chance to make a huge step up. Recently, top app development companies have seized this opportunity to create even more innovative apps that have helped to make our smartphones a lot more useful. With the app development industry becoming more competitive and with most app developers finding it more challenging to come up with innovative ideas, the possibilities created by AI is a breath of fresh air in the app industry.

Basically, artificial intelligence (AI) promotes fast learning and interaction in machines that would make them a lot similar to humans. Although AI is designed to make machines more human, they come without the emotional baggage that could otherwise lead to errors. This efficiency has helped top app development companies to create applications that are capable of understanding it’s user’s behavioral patterns and thus is able to predict their needs and actions. The consequences being that we now have apps that can offer useful solutions and even help to accomplish a task on our behalf.

In 2017, Google announced during its I/O Conference that their technological priorities have moved from ”mobile first” to ”AI first”. This sparked a series of programs alongside the release of useful toolkits that have since assisted app developers to create quality AI apps for Android. From the Android Jetpack to Machine learning, top app development companies have since been afforded the chance to create quality apps on the Android platform with innovative tools.

As earlier stated, top app development companies are already in the business of creating more efficient apps with the help of the possibilities created by Artificial Intelligence. Below are some of the innovations and how they are helping app developers today.

Data Collation: It was earlier mentioned that AI studies human behavioral patterns to make predictions about their needs and actions. These studies, are collated, sorted and stored as data which is analyzed to determine the kind of features that users would prefer in an app. This had proved immensely helpful for top app development companies because, before AI, developers created apps they thought users would find interesting based on their perceived needs. With AI technology, developers now know exactly the kind of app that would prove useful.

Predictive Analysis: As we know, the best apps on the market are usually the ones that continually come up with exceptional updates offering new features that make the app more efficient and a lot more useful.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.