10 Artificial Intelligence Trends To Watch Out For In 2021

By Published On: April 30th, 2021Categories: artificial intelligence

Guest post by Lerma Gray.

If you ask a marketer or a brand leader how they could apply AI in their day to day tasks, you’ll often hear the mention of automation, big data and analytics.

On the contrary, we often overlook commonplace AI applications like chatbots and voice assistants, which heavily apply natural language processing.

Conversational artificial intelligence refers to the use of machine learning and natural language processing to power automated messaging and speech-enabled applications that can engage in human-like dialogue, while capturing context and providing intelligent responses.

In fact, it is one of the trending topics in artificial intelligence and provides a broad range of capabilities that business leaders can harness to better serve their customers.

With a properly implemented conversational AI solution, a customer can ask and get answers to common product queries through chat, get product recommendations, find support and even execute a transaction.

And this will only get better because as Onlim’s Knowledge Scientist Jürgen predicts, the application of machine learning and artificial intelligence in building voice systems and human-friendly robots will definitely lead to improved human-machine interactions.  

Also interesting: What Is Hybrid AI And What Are Its Benefits For Businesses?

Apart from chatbots and other natural language processing (NLP) applications, there are many other interesting and trending applications of AI. Like we see for example in the development of autonomous self-driving cars.

In this infographic, we are going to look at some of the top 10 trending AI applications. As you’ll notice in there are some rather new but steadily trending AI topics, like hyperautomation.

 

ai-trends-infographic

 

Author bio:

Lerma is an experienced data analyst and hobbyist writer. His experience is in technology, software documentation and artificial intelligence. At times he also writes about productivity for software developers.

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