【会议演讲PPT】Gartner+成功试点生成式+AI+并实现业务价值的5个步骤-英-35页_2mb

Gartner Panel Discussion Summary: Steps for Successful Generative AI Pilot

• Overview:
  Gartner delivers actionable, objective insights to help organizations address critical priorities, with a focus on generative AI (GenAI) pilots. Most organizations are experimenting with GenAI, but the key is to drive real business value through structured approaches.

• Core Theme:
  The discussion outlines five essential steps for successfully piloting GenAI and delivering tangible business outcomes, based on Gartner's analysis.

• Key Steps for GenAI Pilot:

  1. Generate Use Case Ideas: Brainstorm numerous potential applications to explore GenAI's capabilities across various business functions.
  2. Prioritize Use Cases: Limit focus to a small number (no more than a few) by evaluating factors like risk, impact, and feasibility.
  3. Assemble a Cross-Functional Team: Build a diverse team with relevant skills and seek external partners to ensure comprehensive expertise.
  4. Deliver Minimum Viable Functionality: Test with minimal deployment, iterating to decide whether to stop, refine, or scale based on early results.
  5. Define Deployment Approach and Risk Mitigation: Establish strategies for implementation, including methods to address and monitor risks.

• Critical Issues Addressed:

  • How to identify and prioritize GenAI use cases, considering benefits and risks.
  • How to build the right team and collaborate with partners for effective execution.
  • How to test, iterate, and adapt GenAI use cases through rapid experimentation.

• Additional Insights:

  • Risk Management: Mitigate risks by defining Acceptable Use Policies, implementing data governance, and using frameworks like Gartner's AI TRiSM (Trust, Risk, and Security Management).
  • Deployment Options: Consider five approaches (build vs. buy, customization, privacy, security, pricing) when selecting vendors or internal solutions.
  • Governance and Compliance: Embed responsible AI practices, starting with data classification and ongoing monitoring to ensure ethical and secure adoption.
  • Value Maximization: Prioritize use cases by assessing risk profiles, using tools like the GenAI Value Hypothesis Format, and designing reusable patterns for AI solutions.
  • Gartner emphasizes that GenAI's benefits often outweigh risks if properly managed, and organizations should focus on quick iteration and value realization.

• Ongoing Resources:
  Access tools, workbooks, and more research through Gartner's offerings to fortify AI strategy pillars, with support for vision, value realization, risk management, and adoption.