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Published on 2019-02-28

7 AI technologies that will rule in2019

There has been a marked increase in the speed of AI development over the past few years. Artificial technology is blooming and expanding in all its forms to every sector possible. These days, we have smartphones and other smart appliances that are revolutionizing our modes of communication and general interaction. They are influencing how we work, and the quality of results we get.

However, as of today, there is every indication that these automated ‘techbots’ are yet to reach their full designated potential. In other words, this group of software is barely at the ‘baby’ stages of development and application. There’s more being planned with respect to developing the scope of influence owned by AI programs, and tech lovers couldn’t be more excited about this.

What new or updated ‘goodies’ should we expect within the 2019? Here’s a peek at 7 of them:

1. Virtual Agents

“Hello, my name is Amanda, how can I help you?”

Virtual agents are basically computer applications programmed to interact with humans while seeing to their needs. The most popular examples of these agents right now are chat robots or chatbots. The available variants of this AI are currently found in customer support services and certain home management software. With many companies embracing the concept of virtual agents in the place of their human counterparts, this trend is set to continue in 2019 and into the next year.

2. Text processing/NLP

NLP stands for Natural Language Processing. This particular ai technology is used to understand the structure of sentences. The software has even been developed to the point of understanding the intent of a sentence and its meaning. Currently, this technology is being used in cybersecurity systems and to detect fraud. It is one of the trends in artificial intelligence that is set to undergo further development, making it applicable in other needful sectors. In addition to its present functions, NLP is also used in combination with other apps and automated helpers for the extraction of unstructured data.

3. Knowledge Worker-aid

It’s no longer news that artificial intelligence is raising concerns as a potential replacement for human labor. But on the positive side, a good number of these programs has the potential to help a large number of high-level professionals in their everyday work. Professions of the legal and medical fields deal with a huge number of client data now and then. For instance, AI would be very helpful as a diagnostic tool in the hands of medics. The application of this form of AI is relatively new and is worth watching for through this year and into the new one.

4. Emotion recognition

We are aware that for some time now, the face-recognition software has been used in certain devices. Emotional recognition, however, is another ball game altogether. AI has been developed to the point where it can actually detect emotions on a human’s face, as well as mood changes or swings. It also detects subtle changes in body language. With further advancements being in progress for these, we are looking at the future of interrogative tools for law enforcement workers. Emotion recognition can also be instrumental in helping customer-focused companies understand how their clients feel about certain products, and improve their experience in general.

5. Content creation

Online content ranges from blog posts, articles, adverts to different sets of written and visual work. Some companies are already in the business of using AI to generate online content for their sites. But most companies still ordering writing help from the third-party company. They find them in google by different search queries like write for me, request to edit your paper, writing help. Also, certain software like Wordsmith is being used to create content based on earnings data and ranking reviews.

6. Image recognition

Image recognition is not that new; however, the integration of AI into image recognition systems is what the buzz is about now. This group of software allows for a more advanced mode and speed of recognizing people not just for identity purposes. More complex requirements like linking to license plates and diagnosing diseases are being added to the capabilities of AI-enabled image reading systems.

7. Digital twins

A digital twin is the software version of a physical system. Digital twins are often used to bridge the gap between the physical and digital worlds. The application of artificial technology in these systems would serve an immense benefit to the engineering sector. It would give professionals an easy way to control the physical aspects of a system using the software ‘alter ego’ to speak. This trend is set to upgrade the engineering and other sectors to a whole new level.

Alyssa Johnson is a tech enthusiast who has been following the recent changes in technology for a while. She is a great content writer and an avid supporter of the AI wave.



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