A.I. is definitely one acronym that needs no explanation, and particularly if you’re deeply immersed in the modern digital world. Artificial Intelligence is the great new frontier, and while we all know well of Siri and Alexa, etc. etc., there’s really so much more to the trend and what it will mean for us in the not so distant future. It’s now clear that A.I. is being implemented practically, and for a premier Canadian web hosting provider like ourselves that’s really exactly what we were hoping to hear. We can now expect that AI will not only revolutionize the mobile industry, but also greatly influence the way mobile apps are marketed in the coming years. A.I. employs machine learning to analyze data and differentiate that data into accurate or inaccurate based on specific ‘truth tables’ and calculations made. The result is a more thorough approach to decisions in all domains, and the marketing of mobile apps is included in that. The strategy for mobile app marketers then becomes whether they should incorporate the vast potential of AI to qualify user behaviour automatically, predict buying behaviours, offer recommendations to users by taking previous purchase data into account, and making tthe app’s content more engaging. Mobile app advertisers can clearly see the immense potential and need for AI in mobile app marketing, and ways they can deploy it for best results. Here’s how: Automated reasoning ability of A.I. A.I. has now empowered apps to engage in independent deductive reasoning. Paired with machine learning, it holds the promise of enabling new apps that possess a human-like ability to judge themselves, completely independent of human input and instead based in computer science and mathematical logic. This is artificial intelligence at its most powerful, as it helps the user to achieve their goal in a much easier and speedy way. Programming these apps using A.I. allows them to analyze the actions of the users while they engage with the app, and then providing them with smart directions based on the analysis of any number of relevant factors. Users then benefit from a more customized and personalized experience, rather than any standard one-for-all solution. One example...
