【会议演讲PPPT】Gartner+ChatGPT+和生成式人工智能对亚太地区的企业影响-41页_2mb

Gartner's webinars provide actionable insights, guidance, tools, and objective content to support organizational priorities. The focus of this session is on Generative AI (GAI), which involves AI techniques that learn from data on existing artifacts to generate new ones, such as text, images, or code.

Definition of Terms

• Generative AI (GAI): AI that creates original content.
• Foundation Models: Large machine learning models trained on broad, unlabeled data.
• Large Language Models (LLMs): Trained on vast text datasets, e.g., ChatGPT based on OpenAI's service.

Capabilities of Generative AI

Generative AI can produce various artifacts:

• Natural language: Stories, summaries, documents.
• Audio/visual: Music, images, videos.
• Programming: Code generation, translation.
• Design and strategy: Blueprints, game worlds, product designs.

Benefits and Risks

Benefits: Versatility, accessibility, potential for lower costs, domain adaptation.
Risks: Hallucinations (inaccurate outputs), copyright issues, misuse for misinformation, power-seeking AI, employment effects.

Impact Across Industries

Generative AI transforms sectors:

• Product Development: E.g., AI-powered drug discovery (Absci), game design (Guerrilla Games).
• Customer Experience: e.g., Wimbledon match summaries, Spotify DJ AI for personalized content.
• Employee Productivity: e.g., Copilot tools for coding and document creation.

Strategies and Engineering

• Prompt Engineering: Crafting instructions for LLMs to handle tasks like chatbots and help desks.
• Leveraging LLMs: Buying vs. building models using fine-tuning, API integration, or tools like HuggingGPT.
• Ethical Considerations: Promoting transparency, human-in-the-loop, and governance to build trustworthy AI.

Societal and Future Impacts

• Education Disruption: Educational services face share price declines as students use ChatGPT.
• AI Strategy Evolution: Shift from predictive analytics to generative augmentation.
• Future Predictions: By 2027, AI-generated apps will rise; synthetic colleagues may contribute to 60% of design effort.
• Societal Phases: Responsible use phases in technology adoption.
• Risks: Structural changes like mass unemployment, new competitors, and AI safety concerns.

Webinar Information

This session includes polls, a Q&A section, and details on Gartner events, urging viewers to register for conferences like the IT Symposium/Xpo for deeper insights on emerging technologies. Gartner emphasizes learning resources and client access to proprietary research.