Building AI Apps: Fixing the Biggest Roadblocks

  • By Anwar Shaikh
  • 21-11-2018
  • Artificial Intelligence
ai apps
Gone are the days of building applications for cloud. It is because AI (Artificial Intelligence) is the new normal. Yes, you heard it right! AI is taking the business landscape by a storm and enterprise applications are no exception. Unfortunately, most of the AI apps out there lag behind in comparison to what they should be. Since the entire concept of artificial intelligence revolves on one critical aspect and i.e. to make lives easier for us, and the same goes for AI apps. Yes, these apps are yet to function at par with the self-driving vehicles and alike. In fact, developers across the world are apprehensive to what it exactly takes to build such AI apps.
With AI-powered robot granted a citizenship recently, it is a clear sign that AI is here to stay with tech giants footing in loads of money into its research and development. This greatly triggers the need to having AI apps that can keep up with the pace. In fact, Gartner estimates that around 85% of all the customer communications will happen without human intervention by the year 2020. Reason being an increasing number of companies embracing modern enterprise tech tools like cloud, CRM software, chatbots, etc.
However, the real obstruction for developers is that AI extends beyond the realms of mainstream coding and includes deep learning, machine learning algorithms and cognitive analytics. Long story short, building applications for AI requires the developers to understand and acknowledge few key things to kick-start on the right foot.
1. AI based apps should be task-oriented
Yes, these apps ought to revolve around the real essence of AI and not the other way around. Yes, AI apps should be task-oriented. For example, an AI app meant for healthcare ought to scan test reports of a patient and provide suggested diagnosis methods or treatment options. This would make the process much easier and quicker than a physician would do. The perfect app should be able to achieve something that was not possible a decade ago. Another fine example would be that of an AI-powered app for a car that can control the car (autopilot), thereby self-driving.
2. AI apps should deal with uncertainty 
One of the best tips for developers who wish to build AI based apps is to acknowledge the fact that these applications ought to deal with uncertainty. When building an AI app, it is quite easy for a developer to get perplexed about every single input. This provokes the developers to spend a lot of efforts and time to decode a range of case scenarios and user behaviors to help them know as where to channelize their input and machine learning efforts. At the end of the day, it would help provide the users with a satisfying and genuine experience. Though businesses resort to CRM systems to unlock customer intelligence, which in turn helps them to provide personalized experience to their customers, developers ought to build AI apps keeping in mind this very objective, i.e. the apps should offer optimum customer experience. Thus, these apps ought to integrate seamlessly with CRM solutions in order to interpret past interactions automatically followed by coming up with recommendations. This would be a boon to e-commerce businesses.
3. AI apps should be quietly intelligent 
These apps should be autonomously intelligent whilst assisting their users to be more in charge and capable. For example, an AI-powered chatbot that communicates with the users using natural language should make a user feel as if he/she is interacting with a real human. The real potential of these apps lies in their ability to drive user experience to the next level. A good AI app would not only assist the users to do things at a much faster pace but would also facilitate them in achieving things that were considered impossible a few years ago. This can be anything that was difficult to afford a couple of years back like a personal dietitian, trainer or a stylist.
To conclude, AI apps is the one that connects with the users on an emotional level. It ought to make the users feel comfortable, more like a companion. On the other hand, a perfect AI app should not only fulfill these requirements but should also exceed them over time using machine-learning algorithms.
Last but not the least, since AI as a tech is at its cusp, app developers should keep abreast with evolving app building trends and practices that run on AI and cognitive algorithms to stay ahead of the curve.

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Anwar Shaikh

Anwar Shaikh writes about AI, machine learning, chatbot, deep learning, business intelligence and enterprise management systems including ERP and CRM software. A self-made writer and Digital Marketing Manager, Anwar writes for Sage Software Pvt. Ltd., a leading provider of user-friendly ERP and CRM solutions to small and mid-sized businesses in India.