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Top technologies of ai 2020

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Top technologies of ai 2020

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With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories.

With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories.

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Top technologies of ai 2020

  1. 1. TOP TECHNOLOGIES OF AI 2020 BY NUAIG.AI
  2. 2. ABOUT AI With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories. When people talk about artificial intelligence, they usually equate it with machine learning and deep learning, but they are only small branches in the field of artificial intelligence research. Although these two can be said to be the hottest topics in the field of artificial intelligence today, there are still many fields in artificial intelligence research that are very attractive and have broad application prospects.
  3. 3. Robotic process automation is the automatic use of software on our computers. The computer operates by itself, that is, controls the mouse and keyboard, and directly enters in all possible tools (such as Microsoft Excel, SAP or Outlook), browsers and operating systems. A PC controlled by the robot process automation is called a robot. The goal is to configure robotic process automation software so that it can take over the activities of humans on the computer, thereby automating the company's processes. Especially suitable are processes that are repeated, standardized, rarely, and clearly defined decision-making. ROBOTIC PROCESS AUTOMATION
  4. 4. Text analysis (also known as text mining or text data mining) is a process of extracting and mining data that is valuable to the company and can be used for analysis from unstructured text. NLP (Natural Language Processing) is a field of artificial intelligence that studies the interaction between computers and human languages, especially how to program computers to process and analyse large amounts of natural language data. NLP is often applied to the classification of text data. Text classification is a problem of assigning categories to text data based on the content of the text data. The most important part of text classification is feature engineering: the process of creating features for machine learning models from raw text data. TEXT ANALYTICS AND NLP
  5. 5. Biological characteristic identification (BIOMETRICS) technology refers to the use of personal identification technology inherent in human physical characteristics (fingerprint, iris, face, DNA, etc.) or behavioural characteristics (gait, keystroke habits, etc.) through the computer. Biometric security devices measure a person’s unique characteristics, such as voice patterns, iris or retina patterns, or fingerprint patterns. With biometrics, it is very difficult to invade a system. BIOMETRICS
  6. 6. The co-evolution of attack and defence in the field of network security is in full swing. Artificial intelligence (AI) and machine learning (ML) greatly improve network security. AI-based network monitoring tools can also track users' daily behaviours to understand their typical behaviour. By analysing this information, AI can detect abnormalities and react accordingly. CYBER DEFENSE
  7. 7. The future of artificial intelligence may allow machines to make decisions like humans, it is now influencing human decisions, especially business decisions. Before AI debuted, companies had to rely on inconsistent data. Therefore, the decision-making process is not very precise. Now, through artificial intelligence, companies can move to data-based models and simulations. The updated artificial intelligence system starts from scratch and uses machine learning to finally provide a complex data model that can be used for precise decision-making. DECISION MANAGEMENT
  8. 8. Artificial intelligence makes customer communication more efficient and accurate, and improves the quality of sales of enterprises. However, the algorithm relies on a reliable and sufficient database. If this prerequisite is met, when interacting with potential customers or customers, the AI algorithm can make multiple predictions more accurately when calculating the correct time and what tactical marketing actions are required to make the customer purchase, stay, or return . Marketing activities are no longer static. They dynamically evolve by updating all knowledge about purchases, interests, and user behaviours and using it to obtain a better customer experience. Machine learning makes this possible. MARKETING AUTOMATION
  9. 9. "Digital Twin" refers to copying a physical object digitally, simulating the behaviour of the object in the real environment, and performing virtual simulation of the product, manufacturing process and even the entire factory, thereby improving the production efficiency of product development and manufacturing of manufacturing enterprises . DIGITAL TWINS
  10. 10. The concept of the Internet of Things is that the physical devices used daily are connected to the Internet, and they can communicate with each other through data exchange. The data collected by physical devices can be processed intelligently and make the devices more intelligent. INTERNET OF THINGS
  11. 11. Virtual Reality (Virtual Reality, referred to as) is a high- tech that has emerged in recent years, also known as artificial environment. Virtual reality is the use of computer simulation to generate a three-dimensional virtual world, providing users with the simulation of sight, hearing, touch and other senses, allowing users to observe things in the three-dimensional space in a timely manner and without restrictions. . VIRTUAL REALITY
  12. 12. AR stands for Augmented Reality, or augmented reality technology. This technology is to use computer technology to superimpose virtual information into the real world. Augmented Reality technology to the virtual information (objects, pictures, video, sound, etc.) integration in the real world, the real world will be enriched, to build a more comprehensive, better world. Since the beginning of Google Glass, augmented reality glasses have begun to appear, but they are still primary products. These glasses can present some simple auxiliary information to users, but complex information can do nothing. AUGMENTED REALITY
  13. 13. THANK YOU Reach out to Us! 515 Plainfield Avenue, Suite 2, Edison NJ 08817 Mailing Address info@nuaig.ai Email Address +1 732 248 8333, +1 732 248 8334 Phone Number www.nuaig.ai Visit us at

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