Thursday, February 08, 2018

New Dimensions in App Development with AI Technologies

By Michael Kordvani

Artificial Intelligence technologies have been under development for decades. While once such things were simply novelties, these days AI is being used within apps for some incredibly practical purposes and with some pretty amazing results.

Chatbots to answer your online queries

Did you ever have a chat with chatbot A.L.I.C.E in the 90s? While it was impressive, having a conversation with a computer, it was nothing other than a bit of fun and a demonstration of the technology. Now chatbots are being put to work, answering consumer questions on websites, social media and within apps. These days, chatbots are very sophisticated, and while they can’t answer every single question a user will put to them, it has been found that many questions are asked repeatedly, so the chatbot can learn, and can respond appropriately in many cases. For small businesses that are overloaded with enquiries, this can be a massive time saver.

Truly personalized recommendations

AI app development has made personalizing recommendations much easier. By analyzing previous user interaction with an app, AI can predict what that user wants. This could be a music app that will take note of the types of music you are listening to, and then recommend other music that is similar. The same could apply to movies and TV shows. This is especially beneficial to shopping apps. AI analysis can check the purchase history of a customer, and then suggest other products that are complementary or of a similar style. This encourages the purchase of further products and may introduce the consumer to products they will love, that they didn’t even know existed.

More accurate prediction apps

By using neural networks, AI apps can be used to accurately predict events. One such app is Flo, a period and ovulation tracker app. For anyone trying for a baby, this is a very useful tool that will predict when you are at your most fertile. The benefit of this type of app, is that the more you use it, the more useful it becomes. Once the app has adjusted to a decent amount of data, changing to a competitor’s app will mean starting all over again, so it’s a great way to keep people using your app.

AI pattern recognition

Pattern recognition is a vital part of bank security measures these days and is now widely used for fraud detection. The system knows your usual spending pattern, so if there is something out of the ordinary then this will be flagged for attention.

Analyzing data to streamline business processes

AI is also very good for analyzing data and making sense of it, using this data to improve the functionality of an app or a business process. One good example of this is Uber. Data from Uber vehicles, such as the route taken and the journey duration are sent to the AI program for analysis. This program essentially learns the best routes that take the shortest time, taking into account the time of day, and can feed this information back to the Uber drivers so they will always know the quickest route to take. A more efficient journey leads to satisfied customers and more time to take more passengers on their journey.