The emergence of Artificial Intelligence Technologies has changed the way of living, and it has profoundly impacted every sector. Also, the advancements of the latest AI technology are easing human work ten folds. You will be surprised to know that artificial intelligence technology was a stand-alone technology for thirty years, and now we can see that the applications of Artificial Intelligence technologies are everywhere. I know folks you are waiting eagerly to know more about Artificial intelligence technologies and, most importantly, the top 10 artificial intelligence technologies that are sure to blow your mind. So are you ready to know about them? Let’s dive in!
Top 10 Artificial Intelligence Technologies that You Must Know About
Well, folks, many of the new AI advancements are embedded in artificial technologies, right from startups to gigantic organizations are a part of the rat race. They are constantly in the rat race trying to implement the latest artificial intelligence technologies for data mining, operational excellence, etc.
Well, without any more delay let’s get to know about the top 10 artificial intelligence technologies that you must know about. Are you ready?
1. Speech recognition
First on the list is this subset of artificial intelligence technologies, one of the latest technology in artificial intelligence that converts human speech into an understandable and useful format by computers. Speech recognition serves as a bridge between human and computer interactions. Isn’t it great? The technology is a super useful one as it recognizes human speech and covers several languages. You will be surprised to know that you yourself use one of these every day- Siri and iPhone is a classic examples of the speech recognition technology
2. Natural Language Generation
We all know that machines process and commute differently than a human brain, well, this is one of the latest artificial intelligence technologies, and it is a very trendy technology that converts the data into a desirable format for the user.
Natural language is one of the subsets of artificial intelligence technologies, and it helps content developers automate content and deliver it in the desired format. With this latest AI technology, human intervention will be reduced significantly because the technology will convert the data into the desired format.
3. Decision Management
Modern organizations are implementing this decision management AI tool to convert data and interpretation into predictive models. The enterprise-level applications are implementing this latest AI tool for receiving up-to-date information and performing business data analysis to aid organization decision-making. Decision management helps make quick decisions, avoid risks, and automate the process. This AI tool is widely implemented in healthcare, trading, finance, insurance, e-commerce, etc.
4. Virtual Agents
I am sure you must have heard about virtual agents. They have become valuable AI tools for instructional designers. Well, a virtual agent is a computer application that interacts with humans, and you must have come across them while landing on any website asking you for any queries. Web and mobile applications provide these chatbots for looking into the queries of humans. You must have heard about Google Assistant and Alexa from Amazon; they make your life easier by organizing meetings and making your shopping easy.
A virtual assistant also acts like a language assistant, which helps pick up cues from your choice and preference. The Virtual agents act as software-as-a-service too. A pretty cool feature of a virtual agent, right?
5. Machine Learning
You all must have heard about machine learning. It is a division of artificial intelligence that empowers machines to make sense of the data sets without being programmed. This technique helps businesses in making informed decisions with data analytics which are performed by using algorithms and statistical methods; these types of artificial technologies are widely in use as enterprises are investing heavily in these machines to learn to reap the benefits of the application in diverse domains. Retailers use machine learning to predict changing customer preferences and behavior by analyzing customer data.
6. Biometrics
You must have heard about Biometrics. Well, it is an application of artificial intelligence that helps in determining the identity of a person. Its aim I to capture an item of biometric data from a person, and it could be a photo of their face, voice, or an image of their fingerprint. It is seen today in many sectors, such as big corporate organizations.
7. Peer-to-Peer Network
This is another of the artificial intelligence technologies which help connect different systems and computers to share data transmitted via a server. Peer-to-peer networks have the ability to solve the most complex problems. This technology is also used in cryptocurrencies, and it is a cost-effective implemented artificial intelligence technology. No individual workstations are connected, and servers are not installed.
8. Robotic Process Automation
Robotic Process Automation is one of the applications of artificial intelligence technologies which configures a robot to interpret, communicate and analyze the data. It s a discipline of artificial intelligence which helps to automate fully or partially manual operations which are repetitive and rule-based.
9. AI Optimized Software
This is the artificial intelligence latest technology that has a high demand in the business world. The attention to software is increasing, and the need for software that supports the hardware also has increased. A conventional chip cannot support artificial models, so a new generation of artificial intelligence chips is being developed for neural networks, computer versions, and deep learning. AMD is creating chips that are capable of performing complex AI calculations. The healthcare and automobile sectors are most likely to benefit from these chips.
10. Deep Learning Platforms
It is another branch of artificial intelligence that functions based on artificial neural networks. This technique is used for teaching computers and machines to learn by using examples just like humans do. It is effective on huge data for training models and processing units. It is visible in the sectors of military and aerospace for detecting objects from satellites which helps in improving worker safety by identifying the risks of incidents when a worker gets close to a machine that helps in detecting cancer cells etc.
Conclusion
That’s all folks. Hope the article helped you in getting all the information that you needed.
