Gartner-热门战略技术趋势2024（英）-35页_2mb

Summary of Gartner Top Strategic Technology Trends 2024

These are the key strategic technology trends identified by Gartner for 2024, aimed at helping organizations build, protect, and grow in the AI era. Each trend addresses specific opportunities for business value, with emphasis on safety, efficiency, sustainability, and adaptation. Here is a concise breakdown:

• AI as Partner (AI TRiSM): Focuses on governing AI models to ensure safety, trust, and fairness for production use, with a prediction to increase decision-making accuracy by 2026.
• Be Safe (Continuous Threat Exposure Management - CTEM): Provides a continuous approach to adjusting cybersecurity priorities and reducing breaches through attacker-centric validation.
• Protect the Future (Sustainable Technology): Enables environmental, social, and governance (ESG) outcomes by integrating technologies like renewable energy and compliance tools.
• Developer-Driven Self-Service (Platform Engineering): Optimizes developer experience with self-service internal platforms, accelerating business value delivery through reusable components.
• Accelerate Creation (AI-Augmented Development): Leverages AI for code generation and testing, boosting developer productivity with tools like chatbots and design-to-code features.
• Tailor Your Work (Industry Cloud Platforms): Combines SaaS, PaaS, and IaaS into industry-specific platforms for tailored outcomes and composable capabilities.
• Optimize Decision-Making (Intelligent Applications): Integrates AI with business data to automate tasks, provide real-time insights, and enhance user interfaces for better decision-making.
• Power AND Responsibility (Democratized Generative AI): Extends access to generative AI across the workforce for productivity gains and new opportunities, governed responsibly.
• Push the Pioneers (Augmented Connected Workforce): Uses AI and technology to reduce time-to-competency, analytics, and talent management through connected worker strategies.
• Buyers With Byte(s) (Machine Customers): Addresses non-human economic actors purchasing goods, evolving commerce and requiring new data architectures.

These trends are expected to influence technology decisions over the next 36 months, aligning with business goals and enhancing organizational resilience.