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The Biggest Hurdle to Building AI Apps, And How to Fix It!

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Building apps for the cloud is a thing of the past. Yes, the new wave is Artificial Intelligence (AI) and machine learning. Unfortunately, AI apps that happen to learn from the experiences are lagging way behind when compared to self-driving cars and their evolvement. Since the whole concept of AI revolves around making life easier for the user, the same rule of thumb applies to artificial intelligence apps. Developers are perplexed about what exactly goes into developing such apps.

An AI-powered robot was recently granted citizenship, which is a neon sign that artificial intelligence is certainly the next big thing with most of the tech giants footing in huge money into its research and development. This also hints towards a growing need for AI apps to be created. In addition, Gartner predicts that 85% of all customer interactions will take place without humans by 2020.

 

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The real hurdle for developers when building such apps is that artificial intelligence stretches far beyond the norms of mainstream coding including cognitive analytics, deep learning and algorithms. Simply put, building apps for AI requires a developer to know and understand few things to get started on the right foot.

The Biggest Hurdle to Building AI Apps

  1. AI apps should function around the real essence of AI

Apps for artificial intelligence alike all the other apps ought to be exclusively task-oriented. For instance, an AI-powered app for healthcare sector can scan medical test reports of patients to come up with recommended treatment or diagnosis. The entire process would be more accurate and quicker compared to a physician. A perfect AI app is the one that helps achieve something that wasn’t possible a few years ago. Take for example an AI-powered automobile that can take control from the driver (autopilot) thus, self-driving.

 

  1. AI apps should be autonomously intelligent

Yes, artificial intelligence apps ought to autonomously intelligent and should assist the users to be more capable and in charge. Take for instance the AI powered virtual assistants or chatbots that enable users to interact using natural language making the users feel as if they are communicating with a human. The real power of an AI app lies in its ability to augment the user experience for humans. A great artificial intelligence app would not only help users do things faster, but would also enable them achieve things that were deemed impossible before. This might include things that we couldn’t afford before such as a personal designer, trainer or dietician.

 

  1. AI apps should manage uncertainty

One of the greatest advices for developers intending to build AI apps is to understand the fact that these apps should manage uncertainty. When building AI apps, it is easy for developers to turn apprehensive about every single input. This is what provokes developers to spend lot of time deciphering plethora of user behaviours and case scenarios in order to know where to channelize their machine learning efforts. Eventually, this would help provide users with a more genuine and satisfying app experience.

 

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Long story short, a great AI app ought to delight and connect with its users on an emotional level. It should make users comfortable, serving more like a sidekick to them. The best AI app should not only meet the requirements of its users, but should exceed those requirements over time through consistent interactions.

As artificial intelligence is at its cusp evolving quickly, AI app developers ought to stay ahead of the curve to build apps that run on cognitive and AI algorithms.

To stay updated with all the latest tech trends in the world of enterprise IT, feel free to visit our blog or SMS SAGE to 56767 or write to us at sales@sagesoftware.co.in

 

Disclaimer: All the information, views and opinions expressed in this write-up are those of the authors and their respective web sources and in no way reflect the principles, views or objectives of Sage Software Solutions (P) Ltd.

 

Sources: The Information and TechCrunch.

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