Artificial Intelligence is not new to any of us. It has made its mark in the last decade with the rise of Internet of Things (IoT) technology like Google Home and Amazon Alexa.
The new decade is taking the developments of the 2010s to the next level, as well as introducing some new artificial intelligence trends to business, learning, and everyday life. In fact, statistics show that the AI market is expected to grow by over 40% in the next six years.
But what will change and how will AI influence the future? Here are seven AI trends to look out for.
1. Hyper-Automation
Hyper-Automation aims to automate as much of a process as possible. For a business, this can save valuable time and resources.
One of the ways hyper-automation can improve efficiency for your company is by taking care of tedious tasks. This leaves more time for employees to focus on other things.
Robotic Process Automation (RPA) can make this possible. The key to implementing RPA is to identify rule-based tasks to offload from employees. This can be generating reports, integrating systems, and handling transactions.
2. Data Analysis
Another way to use AI in business is within data analysis in the form of deep learning. AI can analyze larger and more complicated data with speed and accuracy. This is how AI is able to constantly improve and adapt to any changes within a company. In fact, decibel.com says that deep learning AI tools can identify problems and predict performance data to help you optimize more efficiently.
3. Cybersecurity
The benefit of having a system that is always learning is especially apparent in the realm of cybersecurity. With new threats always on the horizon, AI technology can keep on top of all of this.
It can identify threatening or suspicious activity and pull from multiple databases to do so. In the world of home security, AI is developing to be able to not just alert a person in the case of an intrusion, but also learn the habits of residents to identify anything out of the ordinary.
4. E-Learning
With more and more learning taking place online, e-learning has been the go-to method for students and teachers around the world. AI helps keep the classroom functioning and supports students in ways outside of the traditional classroom setting.
Not only can AI help with grading and other rule-based tasks within e-learning, but it can also personalize assignments and tasks to match the student’s learning style. This means that each individual student can get the most out of the class.
Additionally, AI technology is available to students around the clock. Where teachers can’t always be there to answer questions, AI can act as a personal tutor whenever the student needs help.
5. Conversational AI
AI makes it possible for businesses to increase customer support without having to hire new employees. Conversational AI chatbots can create personalized messages and answer questions as customers are exploring your site and services. Conversational AI pulls from a large pool of data in order to imitate human conversations.
Chatbots are becoming vital for many businesses in managing customer service. In fact, statistics show that 80% of businesses implemented chatbots in 2020.
In general, chatbots and other forms of Conversational AI can drastically reduce costs for companies. Rather than hiring a large team of customer service employees, you can deploy a chatbot to communicate with customers in a consistent way. This leaves customers happier overall.
6. Native Language Processing
One of the reasons conversational AI is possible is through the use of language processing. This technology is used within home devices from Google, Amazon, and Apple. Now AI is able to communicate in any language required and adjusts to the individual.
AI does this not simply by hearing keywords and repeating them back. Instead, it’s able to actually extract meaning from language and use that to inform its response.
This makes AI technology more accessible and universal, and NLP is only going to become more widespread in 2021. Businesses can now use NLP to conduct a sentiment analysis that scans sources like social media and gauges customer feelings about the brand or product.
This scanning of online sources has become increasingly relevant today on social media as there has been more of a call to identify fake news. In general, NLP can be used a multitude of different ways to detect underlying meaning and understand any language.
7. AI in Entertainment
We’ve all seen movies where AI is depicted as robots from the future. However, AI is already being used in film and other entertainment to bring stories to life.
Movies utilize AI to create visuals that seem almost impossible. These types of effects are getting more realistic by the year. Additionally, AI has helped us listen to our favorite songs on Spotify or other streaming services that tailor playlists to the listener.
Video games are becoming more exciting as AI learns how to challenge the player and create a world around them. AI-powered entertainment will take escapism to the next level and help bring the creative visions of artists to life.
Learn More About Artificial Intelligence Trends Today
This brief overview is just a taste of what artificial intelligence trends are on the horizon. These new developments can majorly transform businesses, homes, and learning environments by creating efficiency and personalization.
Keep up to date with what’s new in AI development and look into how these tools could benefit you in 2021.
