Top five artificial intelligence technologies for 2018

With the rapid development of technology, artificial intelligence is making itself known across all industries fast. When people think of artificial intelligence, they often skip straight to an image of humanoid robots.

While this image is definitely a possibility and perhaps a representation of the form fully advanced artificial intelligence will take, there are many forms and technologies in which artificial intelligence manifests.

Artificial intelligence is changing the scene for business, healthcare, and just life in general. Read this article to find out which specific technologies in particular are making their move in 2018!

Chatbots and virtual assistants

You’ve probably seen them on websites before – bots which pop up and ask if you need any help. While this technology initially began with real people answering customer queries, it’s becoming more common for businesses to employ virtual help.

As the technology advances, the capabilities of a virtual agent increase. Beyond answering queries, a bot can interact with other parts of the system to perform tasks such as refunding payments.

Natural language processing

Developments in natural language processing are helping to reduce the barriers between virtual assistants and real people. While voice recognition and automation systems have been around for a while, improvements in their ability process natural conversation can increase their potential.

Text and messaging tools, as well as hotlines, can benefit from the more precise and advanced processing of language.

Biometrics in authorisation

We’ve seen the arrival of fingerprint and facial recognition in smartphones, and this kind of biometric technology is only expected to develop further.

It is expected that biometric authorisation methods will continue to be integrated more into everyday technology. The security is unmatched, and the technology will only get better.

Machine learning in speech recognition

You’ve probably tried to use speech recognition software before, only to realise that your sentence isn’t being heard right.

Well, now most speech recognition software is incorporating AI and machine learning to improve its understanding of human speech. Barriers caused by differences in voice tone and accent, less common vocabulary, and hardware quality are being targeted in order to improve this technology.

Process optimisation

Through machine learning, analytics technology, and data, the possibilities of AI in business are becoming more expansive – including the ability for technology to solve real-life business problems.

It is plausible that AI technology will be able to look at company data through an analytical lens and suggest improvements for business processes.

This is particularly helpful in extremely large corporations, where it might be impossible for a human to be aware of all the processes and activities in the business. In contrast, AI technology has the capability to run through large amounts of data and information systematically.