It’s common knowledge that security breaches can be costly and downright disastrous for a brand’s public image and trustworthiness. Think of the Starbucks app debacle of May 2017, when hackers accessed the app and loaded money using the credit cards on file for hundreds of different customers. That single incident had coffee drinkers uninstalling the app in droves, while the Starbucks customers who kept the app on their devices had their trust seriously rattled.
The power of machine learning to benefit mobile apps is remarkable. Although machine learning technology was initially conceived by tech pioneer Arthur Samuel while working at IBM in 1959, it has only recently entered the mainstream. An increasing number of app developers are opting to use machine learning in conjunction with other cutting-edge technologies such as artificial intelligence and predictive analytics.
Remember when artificial intelligence (AI) was the stuff of science fiction? Not long ago, AI was a cool and novel technology that seemed to dwell in the distant future. But today, AI is part of the mainstream, with virtual assistants and other AI technology included on nearly every modern mobile device.
When you hear the term “artificial intelligence” or “AI,” a futuristic piece of technology probably comes to mind, such as a highly realistic android like those depicted in the film iRobot. But in reality, artificial intelligence technology spans a much broader realm, and many developers are looking at new, innovative ways to use AI for mobile apps.