Top Trending Artificial Intelligence AI Technologies in 2022

A brand-new area of computer science was initially referred to as “artificial intelligence” in 1955. Many daily jobs are being replaced by artificial intelligence, requiring less human involvement. But what precisely is this new AI technology? AI refers to the process of teaching a computer system to function and think like a human brain. This is often accomplished through reinforcement learning, in which the computer learns from past errors and observed patterns. For instance, a trained model defeated the world champion in the difficult-to-learn and won a game of AlphaGO by self-training itself many times and learning from its mistakes each time it lost a game.

Applications of AI technology are rapidly gaining ground in every aspect of our daily life, just as AI is quickly transforming several sectors. People may easily carry out tasks like phoning a buddy, determining the best route to their destinations, and turning on or off electrical equipment by giving voice instructions to their virtual assistant. AI technology is also finding applications in the automotive, e-commerce, AI farming, healthcare, and several other industries.

It won’t be long before artificial intelligence (AI) technology has advanced to the point where people rely on their virtual assistants to wake us up, driverless cars to get us to work, and perhaps AI-powered robots to assist us in making decisions at work by forecasting, analyzing, and providing valuable insights. It all seems somewhat fictional when we read this, don’t you think? Thoughts of video calling were commonplace, but today everyone has access to it through their cellphones.

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Natural Language Generation

Similar to how humans process information, how robots process information is distinct. It may be pretty tricky and complex. It can be challenging for humans to communicate effectively and clearly. A branch of AI called “natural language generation” transforms text into data and aids computers in conveying ideas and concepts as plainly as possible. Reports and market summaries are frequently created using it in customer service. Natural Language Generation is provided by businesses like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop. That this technology is among the top 15 in artificial intelligence shouldn’t be a surprise.

Speech Recognition

Speech recognition is a technique for transforming spoken language into a usable and thorough format that computer programs can understand. Human language transcription and translation into useable forms is a common and quickly expanding phenomenon today. Speech recognition services are provided by businesses like NICE, Nuance Communications, OpenText, Verint Systems, and Siri on the iPhone.

Decision Management

Organizations currently employ decision management by integrating it into their applications to drive and carry out automated decisions to increase value to the business and profitability. AI systems may be equipped with logic by artificially intelligent computers, which can then be used to teach, maintain, and tune them. Several companies offer this service, including Informatica, Advanced Systems Concepts, Maana, Pegasystems, and UiPath.

Robotic Process Automation

Robotic process automation is the automated imitation of human work that allows business processes to run more efficiently. This procedure is the main emphasis of businesses like Pega Systems, Automation Anywhere, Blue Prism, UiPath, and WorkFusion. It’s crucial to remember that AI in this specific field is intended to help and complement human abilities rather than replace them.

Text Analytics and Natural Language Processing (NLP)

The study of how human languages and computers interact is known as natural language processing. It is understandable why these phrases list the top 15 hottest artificial intelligence technology. Machine learning and text analytics examine phrase structure, meaning, and purpose. This technique is commonly used in security systems and fraud detection. NLP is used by several automated programs and helpers to extract unstructured data. Among the service providers are Basis Technology, Expert System, Coveo, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, and Synapsify.

Cyber Defense

A computer defensive mechanism known as “cyber defense” tries to identify, stop, and neutralize assaults and threats to data and system infrastructure. Learning technologies that can be used to disclose questionable user behavior and identify cyber risks can be developed using machine learning methods and neural networks that can analyze sequences of inputs.

Content Creation

Although humans who work on films, advertising, blogs, and white papers create content, companies like Hearst, USA Today, and CBS use AI to generate content. Automated Insights’ well-known Wordsmith technology uses natural language processing (NLP) to construct news articles.

Emotion Recognition

This type of AI technology allows for the reading and interpreting of human emotions utilizing sophisticated picture or audio data processing. The use of technology by law enforcement during interrogations is every day. Beyond Verbal, nViso, and Affectiva are a few businesses that employ emotion recognition.

Marketing Automation

Teams and divisions in marketing and sales have embraced AI and reaped several rewards. Automated client segmentation, customer data integration, and AI campaign management techniques are standard. AdextAI has developed into an industry leader in the use of marketing automation.

Virtual agents

The use of virtual agents by instructional designers has increased significantly. A computer program that communicates with people is referred to as a virtual agent. Web and mobile applications use chatbots as customer care representatives to communicate with people and respond to their inquiries. Amazon’s Alexa and Google Assistant make planning meetings and shopping easier. A virtual assistant performs similar functions to a language assistant by taking cues from your preferences and choices. IBM Watson comprehends the common customer care inquiries posed in various ways. Virtual agents function similarly to software as a service.

Machine learning systems

Artificial intelligence’s field of machine learning allows computers to interpret large data sets without explicitly training. Business decision-making is aided by machine learning when data analytics are carried out utilizing statistical models and algorithms. To gain from machine learning’s use in various fields, businesses are investing extensively in this field. To evaluate patient data for illness prediction and efficient treatment, healthcare, and the medical profession need machine learning algorithms. Machine learning is necessary for the banking and financial industries to analyze client data, discover and recommend customer investments, and reduce risk and fraud. Retailers use machine learning to analyze customer data and forecast shifting consumer preferences and behavior.

Peer-to-peer network

Without a server, the peer-to-peer network enables connections between various computers and systems for data exchange. Peer-to-peer networks can handle even the most challenging challenges. The use of cryptocurrency involves this technology. Due to the connection of individual workstations and lack of installation of servers, the implementation is cost-effective.

Deep learning systems

Deep learning is another application of artificial intelligence that uses artificial neural networks. This approach encourages machines, including computers, to learn by doing, much like people do. Deep learning has gained traction in various industries, including aerospace and defense, to recognize things from satellites, worker safety by recognizing risk occurrences when a person comes in contact with a machine, cancer cell detection, and more. Because neural networks have hidden layers, the word “deep” was created. A neural network typically contains two to three hidden layers and up to 150 hidden layers. Deep learning is effective on large amounts of data when training a model with a graphics processing unit. To automate predictive analytics, a hierarchy of algorithms is used.

AI optimized hardware

There is a huge need for artificial intelligence software in the commercial world. The requirement for hardware supporting the program grew as the software received more attention. A traditional processor cannot support artificial intelligence models. A new generation of AI processors is being created for computer vision, deep learning, and neural networks. The hardware for AI consists of CPUs that can handle scaled workloads, neural network-specific silicon with built-in functions, neuromorphic devices, etc., and companies like Nvidia and Qualcomm. AMD is developing processors with advanced AI computations. These chips may be advantageous for the automotive and healthcare sectors.

Smart Devices

These are now getting more and more well-liked. Formerly used technologies are currently being updated, changed, and offered as smart gadgets. Several ideal instances of smart devices include:

  • Smart surveillance cameras.
  • Smart speakers.
  • Smartwatches.
  • Smartphones.
  • Smart keyrings.

These devices communicate with people and other gadgets through sensors, AI, and other wireless connections.

Self-driving cars

Self-driving cars will be a reality by 2019 because of technology developed by businesses like Tesla, Uber, and General Motors. These automobiles are capable of autonomous driving. Because of the combination of sensors and the usage of AI technology, this is achievable. These sensors aid in creating a map of the vehicle’s immediate surroundings. The information given by the sensors is responded to and interpreted by artificial intelligence. The strain on drivers will be lessened due to this type of artificial intelligence.

Augmented Reality

The goal of augmented reality is to change how the real world is seen. Utilizing cutting-edge AR technology, the user’s environment’s information is open to interaction and digital modification. Even before the project, unique eyewear is required to comprehend and picture the final product.

If you’ve played Snapchat Lens or Pokemon Go, you’ve engaged with augmented reality. The world and the produced characters are combined in augmented reality. Different shopping outlets use augmented reality, making choosing cosmetics and furnishing much more enjoyable and participatory.


The most innovative and promising kind of communication between people and computers/machines is a chatbot. It is computer software with artificial intelligence that mimics a conversation with a user in natural language. Phone calls, text messaging, websites, and mobile applications are all used for communication.

A chatbot replies by user input. Applications that use chatbots to automate customer interactions and services improve the customer experience.

Internet of Things (IoT)

The Internet of Things is a collection of connected computing devices that may exchange data across networks without human-to-human or human-to-computer contact by being given unique identities (UIDs). The Internet of Things (IoT) is a theory in which appliances like washing machines, cellphones, coffee makers, lights, headphones, etc., are linked to the internet via an on/off switch.

Image Recognition

Artificial intelligence (AI) aids in discovering images on social media platforms and their comparison to different data sets to ascertain which would be most beneficial for picture searches. A video or digital picture may be used to recognize an item or feature, and AI is increasingly on top of this technology. Image recognition can be employed to assess customers and their thoughts, verify users based on their faces, diagnose illnesses, and identify license plates.


AI-integrated biometrics, which deals with the human body’s identification, measurement, and analysis, may be used to evaluate the structure, shape, and behavior. It makes it possible for robots and people to communicate.



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Prathamesh Ingle is a Mechanical Engineer and works as a Data Analyst. He is also an AI practitioner and certified Data Scientist with an interest in applications of AI. He is enthusiastic about exploring new technologies and advancements with their real-life applications

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