Mobile is the ideal platform for AI applications. Devices are now offering a number of features to supplement AI performance. Smartphones are equipped with GPS tracking, as well as microphone and camera features. Further, Apple revealed the iPhone X, loaded with an A11 Bionic chip featuring a neural engine built for AI tasks such as Face ID’s 3D scanning. Combining AI technology with these built-in features makes apps more relevant and personalized. Using AI to contextualize App development San Francisco user behavior will make each app session more valuable than the last.Even with ompetition like Google Home, Microsoft’s Cortana, and Samsung’s Viv, Amazon’s voice-controlled digital home assistant, Alexa, stole the show. The number of products with Alexa integrations announced during the event showcased Amazon’s dominance in this emerging market. Alexa has the potential to transform interactions between companies and their users with more than connected home devices.Sanjay Malhotra also predicts that “Mobile and voice control will merge into a great user experience that will reduce the number of pain points users have. Smart home devices will do what they’re supposed to do as opposed to asking users what they should do.”Voice interfaces allow users to interact with apps in a seamless and intuitive way with natural everyday language. But, it’s more than just voice recognition users want to see more of; users are seeking a variety of utility characteristics, such as predictive messaging and context-aware computing.While Google Home is capable of answering more questions than Alexa-enabled products, Amazon has the advantage of having a lot more developers on their side. It’s easy for third-party developers and device manufacturers to integrate Alexa skills into a number of applications. visit;- https://www.fortifive.com/