How AI and API are changing the face of app development
AI and API are rapidly changing the way we access information online. We want everything faster, and we expect a seamless user experience. Developers understand this, and they’re designing apps that are more intuitive than ever.
While AI may seem frightening and even a little Orwellian at times, the true purpose of AI remains supporting and enhancing human activities.
Everything from Gmail and Amazon to Netflix and Spotify all employ some form of Artificial Intelligence. If you’ve used any of those platforms and benefitted from them, like it or not, you’ve used AI.
How AI is turning technology on its proverbial ear
As consumers demands are changing, so are apps. If developers want to remain on the bleeding edge of technology, they need to keep abreast of not only changing demands, but changing technologies themselves. AI is at the forefront, and developers are learning this. Apps are becoming more personal, going from a simple app to a full-blown experience, where machine learning is king. More companies are striving to adopt some sort of artificial intelligence as a means of not just engaging users, but retaining them.
1.) More capabilities for Natural Language Understanding
Natural language understanding or NLU is the understanding of input made in the form of sentences. This technology is widely used in the form of voice assistants like Siri or Alexa, home devices that turn your commands into deliverables, such as playing music or requesting directions. Devices are constantly improving their ability to understand your requests, taking into account things like mispronunciation.
NLU is leading to an increased demand for chat-enabled bots. Especially helpful for industries like healthcare and customer service, machine learning is changing the way we interact with personal information. Trials have been promising on bots that interact without assistance.
2.) Shopping wherever you are
AI makes it possible to shop from our devices–phones, tablets and voice assistants with little work involved. Consumers are able to get the status of their orders, change or cancel orders and even place whole new orders via bots and devices. While AI cannot understand the complexities of escalated customer service issues, it can assist users in completing their basic shopping needs.
Shopping services like Amazon are even using smart alerts to target users based on items in their shopping cart, related searches and the opportunity to reorder items instantly.
3.) Increased automation
Machine learning is regularly becoming more efficient, finding new ways to automate various processes. Apps are adopting technologies like eye and face recognition and using demographics to help users make decisions. For example, location-recognition software can recommend restaurants and activities based on where you are. It can also help you find nearby landmarks like gas stations and banks and give you the fastest way to get to them.
Mobile deposit is allowing users to deposit checks and even cash from their phones, eliminating the need for making a trip to the bank. Apps are saving us time and even money.
Work smarter, not harder
To better understand the needs of users, it’s important to think like one. Since users are consistently looking for a more intuitive experience, apps need to be designed with that in mind. Users want deliverables quickly, and as uncomplicated as possible.
While machines are not currently self-aware, that may be on the horizon. Future trends may include things like self-editing software, fully automated corporations without any employees, global adoption of cryptocurrencies, and of course, robots demonstrating self awareness.
Though these things are not on the immediate horizon, it is important to prepare for a smarter, more automated world.