TAG AI Taxonomy
The TAG AI Taxonomy includes major categories that correspond to state-of-the-art AI approaches. The taxonomy serves as a foundation for TAG AI Research as a Service (RaaS), Content as a Service (CaaS), and Advisory.
-
Agriculture and Farming
Commercial artificial intelligence-based innovations for agriculture and farming can significantly improve the yield and efficiency of farms and agricultural systems. Such AI innovations can also reduce the potentially negative climate impacts caused by the sector.
1.01 - Precision agriculture
1.02 - Intelligent Predictive Maintenance
1.03 - Advanced Yield Management
1.04 - AI-Based Disease and Pest Control
1.05 - Intelligent Livestock Monitoring
1.0 -
Autonomous Vehicles
Autonomous vehicles use sensors and software to navigate without the need for human assistance. As one would expect, this requires heavy reliance on the use of artificial intelligence to ensure proper driving, safety, control, and decision-making.
2.01 - Intelligent Fleet Management
2.02 - Smart Manufacturing and Design
2.03 - AI-Assisted Mobility Services
2.04 - AI-Bases Delivery Services
2.05 - Next Generation Ride Sharing
2.0 -
Biotechnology
AI-based biotechnology innovations support exciting new areas such as drug discovery, precision medicine, and health analytics. These advances are particularly important given the cost and availability challenges that exist globally for medical, health, and clinical services.
3.01 - AI-Assisted Drug Discovery
3.02 - Personalized Medicine
3.03 - Intelligent Medical Diagnostics
3.04 - AI-Based Health Analytics
3.05 - Intelligent Clinical Trial Support
3.0 -
Business Operations
Artificial intelligence introduces substantive opportunities for business operations to advance in terms of supply chain optimization, inventory management, demand forecasting, smart contracts, and many other important tasks covered in the modern organization.
4.01 - Smart Supply Chain Optimization
4.02 - Intelligent Inventory Optimization
4.03 - AI-Based Demand Forecasting
4.04 - Intelligent Quality Control
4.05 - Smart Contracts
4.0 -
Commerce
The implications of artificial intelligence on commerce, including retail, auctions, and services, is substantial. Artificial intelligence creates new means for support, sales, and delivery of commerce and retail offerings.
5.01 - AI Support for Retail
5.02 - AI Support for Warehousing
5.03 - Intelligent Product Exchange
5.04 - Smart Auctions
5.05 - AI-Based Professional Services
5.0 -
Conversational AI
Of all the business opportunities in artificial intelligence, conversational technology as exemplified by ChatGPT might be among the most promising and well-known opportunities for technically oriented software startups and other companies
6.01 - AI Chat Interfaces
6.02 - AI Bots
6.03 - Intelligent Text Analysis
6.04 - Virtual Assistants
6.05 - AI-Based Research
6.0 -
Core Technology
The development of core artificial intelligence technology represents a promising base for startups and established companies to drive business opportunities. This can range from algorithms to language processing, to platforms and tools – including even devices.
7.01 - AI & Machine Learning
7.02 - Natural Language Processing
7.03 - AI Software Platforms and Tools
7.04 - Intelligent Computing Devices
7.05 - Smart AR/VR Devices
7.0 -
Customer Service
Artificial intelligence offers great promise for customer support services including the introduction of smart help desks, improved services for customers including crowdsourced, and more personalized approaches to helping customers.
8.01 - Smart Help Desk
8.02 - AI-Based Product Support
8.03 - AI-Assisted Customer Success
8.04 - Personalized Customer Support
8.05 - Smart Customer Crowd Management
8.0 -
Data Analysis
The possibilities are significant and promising for using artificial intelligence to advance data analysis in areas such as predictive modeling, data normalization, and the use of AI to generate domain-specific synthetic data.
9.01 - AI-Based Predictive Modeling
9.02 - AI-Based Business Intelligence
9.03 - AI-Based Data Normalization
9.04 - Intelligent Big Data Analytics
9.05 - Smart Simulate Data Generation
9.0 -
Education
The use of artificial intelligence for education is promising, despite some early concerns about large language models disrupting traditional homework. Areas of focus will include remote learning and teaching, as well as improved tailored of education for students.
10.01 - AI-Based Remote Learning
10.02 - AI-Based Remote Teaching
10.03 - Smart Tailored Education
10.04 - Smart Learning Management
10.05 - AI-Based Standardized Testing
10.0 -
Entertainment
The entertainment industry will benefit from artificial intelligence in a range of different areas including diverse applications such as gaming, multimedia content generation (which can be transformative), and sports/gaming applications.
11.01 - AI-Based Sports Analysis
11.02 - AI-Support for On-line Dating
11.03 - AI-Generated Multimedia Content
11.04 - AI-Based On-Line gaming
11.05 - AI-Based Support for Gambling
11.0 -
Finance
The financial sector will utilize artificial intelligence in a variety of different ways including fintech, improvements in loans and credit, and the use of AI-based algorithms to dramatically improve investment results.
12.01 - Intelligent Fintech
12.02 - AI-Based Insurance Business
12.03 - Smart Investment Support
12.04 - AI-Assisted Loan Reviews
12.05 - AI-Based Credit Process
12.0 -
Human Resources
The use of artificial intelligence for human resources departments offers the potential to offer intelligence-based career support, tailored coaching and reviews, and the ability to increase the effectiveness of recruiting and workforce management.
13.01 - Intelligent Career Support
13.02 - AI-Based Personal Coaching
13.03 - AI-Based Performance Reviews
13.04 - Smart Recruiting and Workforce
13.05 - AI-Based Compensation Management
13.0 -
Information Technology
Artificial intelligence has the potential to significantly change the manner in which information technology is provided to businesses and consumers. This includes AI-based support, design, search, apps, website design, and more.
14.01 - AI-Based IT Support
14.02 - AI-Based IT Design
14.03 - Advanced AI-Based Search
14.04 - AI-Powered Apps
14.05 - AI-Generated Websites
14.0 -
Machines
An obvious application of modern artificial intelligence will be much smarter and more powerful machines that can be applied in any robotic setting to perform vision, speech, and other tasks that will be assigned to machines and other forms of automation.
15.01 - Next Generation Robots
15.02 - Computer Vision
15.03 - Computer Speech
15.04 - Autonomous Internet of Things
15.05 - Agriculture Robots
15.0 -
Manufacturing
The manufacturing process is enhanced by artificial intelligence in areas such as predictive maintenance, smart 3D printing, improved factory operations, and new means for designing and building products, including robots.
16.01 - AI-Based Predictive Maintenance
16.02 - Advanced 3D Printing
16.03 - Smart Robotic Assembly
16.04 - AI-Based Factory Operation
16.05 - AI-Assisted Product Design
16.0 -
Marketing and Sales
Artificial intelligence can dramatically improve marketing and sales methods through smart advertising, support for sales, and the use of predictive models to better understand customer preferences and expected buying behaviors.
17.01 - AI-Assisted Advertising
17.02 - Intelligent Support for Sales
17.03 - AI-Based Marketing
17.04 - Smart Social Media Marketing
17.05 - Advanced Predictive Modeling
17.0 -
Military and Security
The detection and mitigation of threats is already an important application for artificial intelligence with use for surveillance (especially in countries such as China), cybersecurity, law enforcement, and increasing as a means to support the warfighter.
18.01 - Advanced Surveillance
18.02 - AI for Cybersecurity
18.03 - AI-Based Law Enforcement
18.04 - AI Support for Warfighter
18.05 - AI-Based Weapons and Deep Fakes
18.06 - AI Security
18.0 -
Software Process
The software process is being significantly reinvented with artificial intelligence-based tools especially in areas such as coding and software lifecycle support, improved testing and quality, and even the use of security tools across processes such as DevOps.
19.01 - AI-Based Coding Support
19.02 - Smart Software Lifecycle Support
19.03 - AI-Based Software Quality
19.04 - AI-Based Test Case Generation
19.05 - Intelligent Software test and Analysis
19.0 -
Transportation
The use of artificial intelligence in transportation is already well-established, with applications in transportation logistics, smart mapping tools, support for flight and rail operations, and much more personalized transportation support.
20.01 - AI-Based Transportation Logistics
20.02 - Personalized Transportation
20.03 - Smart Mapping Tools
20.04 - AI-Based Flight Operations
20.05 - AI-Based Rail Operations
20.0