What are the few names that come to your mind when you talk about smartphones, mobile apps and artificial intelligence in one breath? The mobile app developers of one of the leading Web Designing Company in Delhi, Web Solution Centre can think of few, naming Amazon’s Alexa, Apples’ Siri, Google’s Assistant, and Microsofts’s Cortana, well there are plenty of names one can jot down when talking about the apps that are the true embodiments of artificial intelligence in mobile applications. A countless number of professional developers and software masters dedicate plenty of hours molding these services into responsive personal assistants so that they can perform tasks for which they are so graciously developed. Personal assistants today are tracking, solving queries, sending messages, launching services and what not.
Stretching from the oh-so-famous chatbots, context-oriented intelligent sensors to the trending predictive analysis, linguists and software developers are digging for new and innovative ways to inculcate artificial intelligence in mobile apps to enhance business customer service solutions, deliver new and technologically advanced products and reimagine business services.
Artificial Intelligence and machine learning together are changing the landscape of how software developers, businesses, and users think about building algorithms and intelligent-humanized interactions within mobile applications.
It’s way past the time when you can think of machine learning as a novel technology. We are now living in an era where we are aware of our needs and wants, what pleases us and what irks us. The time has come where users are now expecting flexible algorithms for a seamless experience. The incredible gust of Artificial Intelligence has completely modeled the way developers, users, and businesses are previously viewing intelligent interactions within mobile applications.
More Personalized Experience: Personalization is a core of every nook and cranny of the web world. If you are not giving users a personalized experience, then you are surely missing out on a huge one. The new availability and advancement of AI have pushed users to the edge where they have nowhere else to go but take the plunge for a seamless experience. That’s why developers and linguists need to up their game when delivering human interaction mobile experiences. This is what Starbucks did with their mobile app. The customers don’t have to click on anything to place the order, they have to speak what would they like to have to the app and it places the order for them.
Which takes us to the next step, that is Speech Recognition.
Speech Recognition: While voice search or speech recognition is one thing, how to do it with accuracy when it comes to Artificial Intelligence, is a completely different tangent. While developers are integrating voice recognition into their mobile apps, the accuracy it takes for a machine to recognize a human voice is not there. There are few things that need to be kept in mind when incorporating voice recognition in AI induced mobile apps.
- Automatic speech recognition (ASR), which is a way of transcribing voice into text. This facility is provided by few mobile platforms like Android and Google, but iOS still need to master it. There is software available that can help you with speech recognition, if it’s not available on your platform, api.ai, wit.ai, and Nuance.
- Natural language understanding (NLU): Now, this is difficult to achieve and specifically where Artificial Intelligence steps in. The developers need to put in multiple words and phrases that an app can understand and then machine learning technology is put to use to help system understand the various terms similar to the provided ones.
With increasing boom of technology, consumers are always on the lookout for new and innovative ways of going about things online, which pushes developers to come with more personalized and intuitive experiences.