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1. Generative AI:

This is an artificial intelligence technology that uses large-scale pre-trained models and cloud computing and other technologies to generate various types of content, such as text, images, audio, video, etc.

Generative AI allows users to access and use a wide range of internal and external information sources, improves the democratization of knowledge and skills, and promotes innovation and creativity.

By 2026, more than 80% of enterprises will use generative AI APIs or models, or deploy generative AI-enabled applications in production environments.

2. AI Trust, Risk and Security Management:

This is a method to ensure that AI models comply with ethical, legal and social standards and can effectively prevent and respond to potential negative impacts and risks.

AI trust, risk and security management involves model operation and maintenance, data protection, model monitoring, third-party input and output risk control, etc.

AI TRiSM includes four main categories: model explainability and monitoring, privacy, ModelOps, and AI application security.

3. Gartner predicts:

By 2026, enterprises that adopt AI trust, risk and security management controls will improve decision-making accuracy by filtering out up to 80% of erroneous and illegal information.

4. Augmented-Connected Workforce:

This is a strategy that leverages technologies such as intelligent applications and workforce analytics to enhance employee value, experience and the development of their own skills.

An enhanced connected workforce can help companies optimize staffing, improve productivity, enhance team collaboration, develop new talent, and more.

It will reduce time to compete in key positions by 50%.

5. Continuous Threat Exposure Management:

A pragmatic and systematic approach that enables organizations to continuously and consistently assess the accessibility, exposure and exploitability of an organization's digital and physical assets.

Continuous threat exposure management can help enterprises discover and fix vulnerabilities, prevent unpatched threats, and increase security investment priorities.

Gartner predicts that by 2026, organizations that prioritize security investments based on a continuous threat exposure management program will reduce vulnerabilities by two-thirds.

6. Machine Customers:

This is a non-human economic actor that can autonomously negotiate and purchase goods and services in exchange for remuneration. Machine customers can interact with humans through natural language processing, computer vision and other technologies and make decisions based on their own needs.

Robot customers will bring more choices to consumers and more revenue sources to merchants.

By 2030, this growth trend will generate trillions of dollars in revenue.