While artificial intelligence (AI) still has a long way to go until reality catches up with science fiction, the technology has already made a sizeable impact on how enterprise companies communicate with their customers and end-users.

Conventional methods of communication - through pamphlets, menus, catalogs, etc. - are hard for users to navigate, difficult for companies to update with new data, and, frankly, not very engaging. That's why more businesses are turning to enterprise software development companies like InterKnowlogy to help them flawlessly integrate AI into their user platforms and apps. 

For example, they pioneered the integration of Augmented Reality (AR) with AI for the XenoHolographic product ecosystem, allowing companies and advertisers to quickly deploy holographic experiences. Imagine shopping for a car. But instead of rifling back and forth through pages of a model pamphlet to see the car's specs, you have them all laid out in front of you in holographic space. In stunning visual fashion, you can see the car alongside its specs.

It's this kind of forward-thinking, future-friendly user experience that AI has enabled businesses to achieve. Here are some more applications of AI that are helping businesses:  

#1 Internet of Things (IoT)

Investments in AI-focused IoT companies are skyrocketing as IoT industry leaders actively integrate AI in their platforms. Research and advisory company Gartner predicts an even stronger surge in AI integration with enterprise IoT projects in the future. 

An interesting example of IoT integration is Great Park Neighborhoods's renowned home viewing service, where potential homebuyers can easily access the homes they liked in an immersive touch table experience.

If foreign visitors to a hotel change the language of the tablet, IoT integration automatically changes the TV, thermostat, and phone in the room to the same language. 

Furthermore, companies can leverage location analytics to measure impact of location behavior on key business metrics. 

#2 Machine Learning

The essential value your customers draw from AI-powered platforms and apps is convenience. AI provides convenience by smartly anticipating your customers' future needs in a personalized manner using predictive analytics.

It does so by leveraging pattern recognition using a practice called machine learning. This technique involves using algorithms to analyze data over time, including pictures, words, and phrases to make predictions. For example, machine learning helps Google Maps accurately predict where its users want to go at a specific time every day. If you're looking to steer your customers toward a specific place, page or decision, consider integrating machine learning.  

#3 Deep Learning

Deep learning is an advanced subset of machine learning that learns from vast sums of data using artificial neural networks, a multilayered set of algorithms modeled after the brain's neural network. Because their performance is dependent on data, neural networks develop further by learning more.  

Deep learning has helped AI in a variety of ways. For one, it has enabled virtual assistants to understand the countless combinations of voices, accents, and languages. This includes virtual assistants such as Google Assistant, Siri, Cortana, and Alexa. It can also analyze piles of data from every customer transaction and engagement to improve the services you offer.

These are just a few ways in which AI technology is revolutionizing the customer experience. You can expect AI to become a deeper part of our lives over the next few years. Where you stand in this AI future is entirely up to you.