How to use ML to develop wireframes for your mobile apps

Here’s everything you need to know about utilizing machine learning tools to build excellent wireframes that will ensure you craft a stellar mobile app


2018 has been the year of the smartphone with savvy developers and eager entrepreneurs everywhere rushing to develop a cutting-edge app that will guarantee them a top spot in the market. Too few professionals are leveraging contemporary tech like machine learning (ML) tools when it comes to the development of their mobile apps, however, especially when it comes to learning how to efficiently develop wireframes.

Here’s everything you need to know about making use of ML tools to develop excellent wireframes that are sure to help you craft a stellar mobile app.

Visit Innovation Enterprise's Machine Learning Innovation Summit, part of the DATAx New York festival, on December 12–13, 2018

Look to some excellent examples to get started

Figuring out how to develop wireframes for your mobile apps can be a real headache, so to expedite the process it’s probably for the best that you take a look at some excellent examples that will get you started on the right foot. Similarly, many developers and aspiring marketers think that AI and ML are just buzzwords with little impact on today’s market and viewing some real-world examples can help get past that myth. Just take a ganders at how Airbnb relied on AI to turn a mere design idea into a project source code for instance and you’ll see how very realistic it is to make use of this tech already.

The applications for ML in mobile development are virtually endless, but to make use of them you’ll need access to customer data. If you’re interested in really tapping into the power of ML then it’s worth drafting up some notices that digital users will encounter when browsing your website or trying to download your app, so that you can receive their legal permission to make use of their data for website usability purposes. Until you have a source of data secured for your exclusive use, you can’t really tap into the power of ML.

ML algorithms are only a means to an end, so you’ll need to have a clear vision in mind before you get started if you don’t want your project to collapse. Ask yourself what customers you’re looking to target, what kind of app you hope to make and what you’ll need to standout before you start trying to employ an AI model to help you develop a finished product. Finally, take a plunge into the world of deep learning algorithms to understand just how to master the use of these neural networks.

Setting yourself up to succeed

If you don’t want your mobile app to crash and burn, then you need to dispel some common myths before you try to leverage ML. These powerful algorithms are only a tool and not a miracle in and of themselves that will simply do all of the work for you. Developers are kidding themselves if they think they don’t have to work hard when relying on AI. But that doesn’t mean it’s worthless, just that ML is like any tool in that you can only use it to amplify, not replace, your own skills and talents.

Don’t let the process of developing a wireframe for your mobile app get slogged down because of a lack of computing power. Tap into contemporary ML to make your life easier and follow closely the examples of those clever companies and entrepreneurs who have already used AI to take sketches and turn them into a coded reality. ML isn’t going to do your job for you, but by making use of algorithmic processes you can drastically lessen your overall workload and produce a better wireframe than ever before.

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