With novel advancements in the arena of Artificial Intelligence, you must be wondering what could be the best AI Technologies to learn today, to match the competency of the market. Here, we a go a little deep into the fresh and the demanded AI technologies.
Since AI has shaped a whole new dimension of human-machine interaction, it is one of the most popular subjects among all the technical researchers around the globe. So, today we will discuss some of the best technologies in Artificial Intelligence.
Also Read: How Machine Learning and AI is Improving our Lives?
Best AI Technologies That All Must Learn
As we all know Artificial Intelligence is a new domain of technology, yet it has evolved a long way. In today’s world, having the basic concept of the technologies used in AI is of utmost importance. So, let’s have a glance.
1. Machine Learning
Machine Learning (ML) is the most common AI technology you will come across. Generally, people starting with AI choose machine learning as the first subject to learn. Machine Learning deals with the process and the logic involved in teaching your computer.
As evident from the name, Machine Learning, involves the process of making your machine learn something. Once the machine learns, it can now predict and classify necessary data, just like we humans can do. With the concepts of Machine Learning, we are basically working to make our device smart.
ML is implemented using a number of algorithms, mainly centered around probability. Many tech giants like Google, Microsoft, Amazon use this blooming technology in order to make your device learn what interests you and provide ads and search options accordingly.
Also Read: How Machine Learning and Artificial Intelligence will Impact Global Industries
2. Deep Learning
One of the most significant parts of AI is Deep Learning. This is considered to be one of the best AI Technologies, which possess immense scope in the future. Basically, Deep Learning revolves around the concept of how a human brain works.
Deep Learning can also be considered to be an advanced version of Machine Learning that has been linked with Big Data analysis and Neural Networks. Programmers need to have high expertise in Machine Learning in order to come up with Deep Learning algorithms.
Deep learning aims to execute human tasks which require accuracy and perfection of the utmost level. For instance, generation of e-prescriptions to patients with correct prescribed medicines. Such tasks require accurate human skills, which are embedded into machines via Deep Learning Algorithms.
3. Virtual Agents
Artificial Intelligence has cut down human labor to a remarkable level by gifting the world, Virtual Agents. These computer-generated virtual characters interact with humans and meet up their queries and demands.
They find their uses mainly in the online market, e-commerce, and smart home. Virtual Agents also serve the role of customer care service in many organizations like Google, Amazon, IBM, Microsoft, etc. These agents can talk to the customers and also give appropriate answers to customer queries.
Not only customer service, but these Virtual Agents are also becoming eminent in many personal devices like mobiles and laptops. The chatbots Siri, Cortana, Google Assistants, and Alexa, are some reckoned Virtual Agents.
4. Cyber Defence
Cyber defense is a computer-based defense technology in the branch of Artificial intelligence that detects, prevents, and responds to cyber-attacks. Cyber-attacks pose a great threat to many computer-based systems. For instance, the ATMs of various banks, that house a lot of important information of various customers.
Cyber defense makes use of the concepts of Machine Learning and Neural networks. These technologies together can create learning technologies that can detect any suspicious activity being carried out by any user.
Hence, these two technologies if joined together can create algorithms with up to eighty-five percent probability of detecting cyber-crimes. In today’s current scenario, involving multiple cyber-attacks every day, Cyber Defense is one of the best AI technologies for making a mark in the market.
Also Read: How AI is Transforming Cybersecurity?
5. Biometrics
This is a great technology of Artificial Intelligence. Biometrics revolves around the concept of recognizing humans based on their unique features like fingerprint, retina print, and even speech.
Also, using Biometrics, through human touch, gesture, and sometimes even body heat one can easily detect human interventions in certain areas. In the sector of security, biometrics introduced an enormous amount of scope. And when it comes to the best AI Technologies, Biometrics is undoubtedly a good suggestion.
6. Robotic Automation
This must sound very interesting to a lot of robot-lovers. Robotic Automation involves the concept of making devices that can be embedded with Artificial Intelligence. This enables the mechanical devices to imitate humans with a good amount of accuracy.
Corporates use this technology since it is believed to be among the best AI Technologies, mainly as a backup, for situations when investing in human resource becomes costly or the workforce is inefficient. Such automated robots are saviors in cases where the output requirement is fast, and the workload is huge for human laborers.
Even in conditions involving life-risks, these robots can replace the laborers and execute the necessary work. This is a great advantage for performing tasks that possess great danger for humans. Robotic Automation has thus opened the door to a number of versatile tasks which were thought to be impossible with human labor.
7. Natural Language Processing
Natural language processing (NLP) is an Artificial Intelligence technology that describes the interaction between human language and computers. It is counted among the best AI Technologies. Basically, it is a technology, that allows developers to create software that is able to understand human language.
NLP has a great advantage in the field of business. By virtue of Natural Language Processing, you can also translate data into writing that lets your computer to produce ideas with faultless precision.
This is extensively used in various companies for generating business reports, summaries, and even allows the company to find out the customers’ demands and read their satisfaction level.
8. Marketing Automation
Marketing automation refers to the use of software and web services based on AI to execute, manage and automate marketing tasks and processes. Basically, the marketing sector is the one that has been extensively benefitted by the Evolution of AI.
Marketing automation plays a significant role in reducing repetitive marketing processes. It uses AI-based software to structure customer division, customer data incorporation, and campaign organization. Marketing Automation also allows company income to grow faster. Thus, thousands of companies are investing in this technology to expand their profit.
Conclusion
You can see how fast the trend of Artificial intelligence is spreading worldwide. From smartphones to laptops, every device has incorporated AI features. Due to this, the market value of good AI engineers is rising exponentially. So, in order to match the market standards, you can start learning the technologies discussed here, and of course, increase your market value.
