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In this article, we are going to discuss the Top 10 Artificial Intelligence Technologies in 2023, which are as follows:

Robotic Process Automation: Robotic process automation is a component of artificial intelligence that designs a robot to decode, interact and evaluate information. This division of artificial intelligence helps to automate moderately or completely manual tasks that are tedious and rule-based. Some examples of vendors for this technology include UiPath, Pega Systems, Blue Prism, Automation Anywhere, and Work Fusion.

Machine Learning Platforms: Machine Learning is an important component of AI to develop new strategies allowing computers to learn and become smarter. It is generally used in various business applications, including prediction or classification. Several platforms are sold by Google, Amazon, Microsoft, SAS, H2O AI, Skytree, and Promotion text.

Deep Learning Platforms: Deep learning aims to acquire higher power by learning how to address the globe in a hierarchy of approaches. It demonstrates how the concept is associated with more clear concepts and how there can be the less abstract description for additional abstract ones.

It collaborates with the model of repeated data analysis with a logical design like the human brain. It operates on several layers of algorithms known as Artificial Neural Networks (ANN). These networks resemble the biological neural networks in the brain. Therefore, deep learning is the field-making ANN that learns and creates smart decisions. Organizations including Deep Instinct, Ersatz Labs, Fluid AI, Math works, Peltarion, Saffron Technology, Sentient Technology, and Laverton are some sample vendors of this technology.

Natural Language Generation: Natural Language Generation is a popular technology that changes structured information into the local language. The machines are customized with algorithms to transform the information into a desirable structure for the user. It assists content developers in automating content and carrying in the desired structure.  Attivio, Lucidworks, Narrative Science, SAS, Cambridge Semantics, and Digital Reasoning are some sample vendors in this technology.

Speech Recognition: Speech Recognition is the process through which human speech transforms into a beneficial and comprehensive structure by computers. It is generally used in interactive voice response systems and portable software. Companies like NICE, Verint Systems, OpenText, and Nuance Communications are some sample vendors of this technology.

Biometrics: Biometrics helps identify physical characteristics of the human body’s architecture, form, and behavior with estimation and analysis. It is a natural connection between devices and humans as it collaborates with touch, picture, speech, and body language. It is mostly used for the goal of market research. Some sample vendors in this technology are FaceFirst, Sensory, 3VR, Affectiva, Agnitio, Synqera, and Tahzoo.

AI-optimized hardware: Artificial intelligence software has popularity in the enterprise world. As the consideration for the application expanded, a requirement for the tools that support the application also emerged. Another generation of AI chips is being created for neural networks, deep learning, and computer vision. The AL hardware consists of CPUs that can manage extensible workloads and specific goals, including silicon for neural networks, neuromorphic chips, etc. Companies like Alluviate, Google, Cray, Intel, IB, and Nvidia are significantly investing in AI-optimized hardware to speed up the next generation of software.

Virtual Agents: A virtual agent is a disciplined system or an agent that can communicate effectively with humans. Presently, smart agents known as chatbots are being integrated with an increasing number of websites and mobile applications to provide user experience to the clients and show development in the business massively. The famous virtual agents created by well-known giants Apple, Google, Amazon, IBM, and Microsoft are Siri, Google Assistant, Alexa, Watson, and Cortona.

Decision Management: AI-based engines capable of adding rules and logic to AI frameworks for training and setup, maintenance, and regulations. A grown-up technology is used in a wide range of businesses for decision-making to enhance the value of the business and make it beneficial. Decision management is already being utilized by organizations like Informatica, Advanced System Concepts, Maana, Pegasystems, and UiPath by integrating it into their applications to push and implement automated decisions.

Emotion Recognition: This AI technology allows human emotions to be read and interpreted using an advanced image or audio data processing. Law masters frequently use this innovation during interrogation. Organizations that utilize emotion recognition are Beyond Verbal, nViso, and Affectiva.

With AI being consolidated in several fields and businesses, it has made a huge and amazing impact in each industry as it automates most processes without much human intervention. The graph of AI Technologies is projected to increase in the forthcoming months as people around the globe broadly accept it & everyone anticipates developing their business with the assistance of artificial intelligence technology.