19 personal intelligence (AI) popular application areas

01. Natural Language Generation

Natural language generation is a branch of artificial intelligence that studies how data is transformed into text for customer service, report generation, and market overview.

02. Speech Recognition

Siri is a typical example.

At present, there are hundreds of thousands of systems that transcribe human languages ??through voice response interactive systems and mobile applications.

03. Virtual Agents

A virtual assistant is a computer agent or program that interacts with humans, most notably a chat bot. Virtual assistants are mostly used for customer service and support, and can be used as managers of smart homes.

04. Machine Learning Platforms

Machine learning is a branch of computer science and artificial intelligence technology that enhances the learning power of computers.

Designed, trained, and deployed to applications, processes, and other machines by providing algorithms, APIs (application programming interfaces), development and training toolkits, data, and computing power, widely used by companies to solve forecasting and classification tasks .

Adext is the world's first and only audience management tool that applies artificial intelligence and machine learning to digital advertising in an effort to deliver ads precisely to the best-targeted audience.

05. artificial intelligence hardware optimization (AI-optimized Hardware)

The computing task used to run artificial intelligence is a specially designed and architected GPU (graphic processing unit) and CPU (central processing unit).

The upcoming artificial intelligence-optimized silicon chip will be embedded directly into your portable device and throughout your life.

06. Decision Management 

Intelligent machines can introduce rules and logic into the AI ??system, so you can use them for initial setup/training, as well as ongoing maintenance and optimization.

Decision management is implemented in a variety of enterprise applications that can assist or automate decision making to maximize business returns.

07. Deep Learning Platforms

The deep learning platform is a special form of machine learning that consists of multiple layers of artificial neural networks that simulate the human brain, process data and create decision patterns. Currently used mainly for pattern recognition and classification based on big data sets.

08. Biometrics

This technology identifies, measures, and analyzes human behavior as well as the physical structure and morphology of the body.

It can give more natural interactions between humans and machines, including but not limited to images, touch recognition and body language recognition, and is currently widely used in market research.

09. machine processing automation

Machine processing automation uses scripts and other methods to automate human operations to support more efficient business processes.

Currently used for tasks and processes where labor costs are high or inefficient.

Machine processing automation can maximize the human talent and make employees more creative and strategic, which is crucial to the company's development.

10. text analysis and natural language processing 

Text analysis and natural language processing use statistical and machine learning methods to understand the structure, meaning, emotions and intentions of sentences. They are widely used in fraud detection and information security, and can also be used to mine unstructured data.

11. Digital Twin/AI Modeling

Digital Twins is a software architecture that bridges the gap between physical systems and the digital world.

General Electric (GE) announced that it will set up an artificial intelligence company to monitor aircraft engines, locomotives, gas turbines, and fault prediction. The company's digital twins are just a few lines of code, and even the most complex versions look like 3D computer-aided design drawings, full of interactive charts and data points.

12. Cyber Defense

Cyber Defense is a computer network defense mechanism that focuses on prevention, detection, and timely response when infrastructure and information are attacked and threatened.

Artificial intelligence and machine learning have brought cyber defense to a new stage of development: in 2017, a total of 2 billion intrusion records were detected, of which 76% were accidental and 69% were lost.

Recurrent neural networks (RNN) are capable of processing input sequences and, in combination with machine learning techniques, create supervised learning techniques that detect suspicious targets and detect up to 85% of cyber attacks.

Startups such as Darktrace and Cylance attach great importance to the work of artificial intelligence combined with cyber defense. Darktrace combines behavioral analysis with advanced mathematics to automatically detect anomalous behavior within an organization. Cylance uses artificial intelligence algorithms to block malware intrusions and mitigate damage caused by attacks. Another company dedicated to cyber defense, Deep Instinct, is seen as the “most disruptive startup” designed to protect enterprise endpoints, servers and mobile devices.

13. Compliance

Compliance means that the business activities of a person or a company are consistent with recognized management, regulations, rules, standards or contract terms.

It's not uncommon to apply artificial intelligence to compliance work, which scans text and matches its patterns to keywords to identify company-related changes.

Capital stress testing techniques with predictive analytics and scenario builders help companies comply with regulatory capital requirements. In addition, the use of deep learning can effectively reduce the number of transactions marked as potential money laundering activities.

14. Knowledge Worker Aid

Although many people are worried about whether AI will completely replace human work, don't forget that AI technology can help people to do their jobs to a great extent, especially in the field of knowledge work.

The automation of knowledge work has been ranked as the second most destructive emerging technology. In the medical and legal fields that rely heavily on knowledge workers, practitioners will increasingly use AI technology as a diagnostic tool.

15. Content Creation

Content creation includes any material that people enter into the online world, such as videos, advertisements, blogs, white papers, infographics, and other visual or written materials.

Teams such as CBS have used AI technology for content generation; Wibbitz's SaaS platform can convert text content into video content through artificial intelligence video products; automatically illuminate Wordsmith, which is developed by the company, and use natural language processing technology to make news after acquiring data. writing.

16. P2P network 

A P2P network refers to a network of participants sharing a portion of the hardware resources they own. These shared resources provide services and content over the network and can be directly accessed by other P2P nodes without going through intermediate entities.

Bet Capital LLC chief executive Ben Hartman said in an interview with Entrepreneur magazine that P2P networks are also used for currency encryption and can even solve some of the world's most challenging problems by collecting and analyzing large amounts of data. problem.

Prius is a company that uses P2P networks and artificial intelligence to make search engines more accessible, with cryptocurrency as a reward, allowing participants to lend the computing power of their computers. Accordingly, the company promised to build a more transparent search engine platform.

17. Emotion Recognition

Emotional recognition can "read" expressions on human faces through advanced image processing or audio data processing. Currently, we have been able to capture "micro-expressions", identify body language cues, and analyze phonetic intonations that contain emotions.

Law enforcement officers use this technology to obtain more information during the trial process, and this technology is also widely used in marketing.

18. Image Recognition

Image recognition refers to the process of identifying and detecting objects or features in digital images or video. Artificial intelligence technology has unique advantages in this field.

Artificial intelligence can search for photos on social media platforms and compare them to large data sets to find the most relevant content.

Image recognition technology can be used for license plate recognition, disease detection, customer opinion analysis, and authentication.

19. Smart Marketing (Marketing Automation)

So far, the marketing department has benefited a lot from artificial intelligence, and the industry's trust in artificial intelligence is well-founded. 55% of marketers are convinced that artificial intelligence will have more influence in their field than social media.

Smart marketing enhances company engagement and efficiency, segmenting customers, integrating customer data and management activities, and streamlining repetitive tasks, giving decision makers more time to focus on strategy development.