Natural language processing (NLP) is one of the most exciting technologies available today. The technology can parse human language in order to identify patterns or extract the most important data from messages or emails.
Flurry’s annual mobile technology round-up report revealed a surprising fact: the amount of time spent using apps grew by just 6% in 2017. This figure reflects a significantly smaller margin of growth than the 11% increase observed in 2016.
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.
Amazon reportedly sold over 10 million Echo devices between 2014 and 2017, each equipped with Alexa—a virtual assistant that leverages natural language processing (NLP) technology to fulfill your requests. Google and Apple have also released virtual assistant-equipped IoT devices that allow users to do everything from playing a specific song, adjusting the lighting or starting their coffee maker to dispatching their Roomba.
You’re tasked with researching the best features for your company’s new mobile app, and as you work, you repeatedly encounter the same term: smart app. The label of “smart” has been applied to lots of different technology in recent years, from smartphones to smart homes to smart cars and now, smart apps. But what is a smart mobile app and how do you know if you need one?
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.
As we see advances in natural language processing (NLP) and related technology fields—including machine learning and artificial intelligence—an increasing number of mobile apps are leveraging such technology. These innovations are impressive considering NLP has only been in the mainstream for a few years.
Natural Language Processing – You may not realize it, but you interact with this technology pretty often. It’s an innovation included on most smartphones, home automation hubs and thousands of automated phone answering systems. You know, those friendly robots that ask you how to direct your call to the correct department, tell you your credit card balance, and allow you to pay a bill over the phone. But, what is ‘Natural Language Processing’ exactly and how does it work? Read More