2023-09-30-KPMG-生成式人工智能的商业价值_20页_9mb

报告摘要

KPMG Generative AI Survey: From Buzz to Business Value

Key Findings:

Executive Perception:
- Generative AI is perceived as the most impactful emerging technology, with 77% of executives ranking it ahead of alternatives like quantum computing and AI/robotics.
- 73% believe it will increase workforce productivity, and 64% expect it to provide a competitive advantage.
Adoption Plans:
- 77% of respondents plan to implement first generative AI solutions within two years.
- However, organizational readiness is low, with 47% still in the initial evaluation phase.
Top Barriers:
- Lack of skilled talent (13%), cost issues (13%), and unclear business cases (13%) are the primary obstacles.
- Other challenges include leadership strategy gaps, risk uncertainty, and governance structures.
Risk Management:
- Cybersecurity and data privacy are the primary risk focus areas.
- 92% of executives view generative AI implementation as moderate to high-risk, requiring careful risk mitigation.

Opportunities:

Productivity and Innovation: Generative AI can automate routine tasks and boost creativity, freeing human workers for complex activities.
Market Expansion: Companies are exploring AI in IT/tech, operations, marketing, and sales to drive business growth.
Competitive Edge: Many executives believe AI adoption is crucial for future competitiveness and innovation.

Challenges & Recommendations:

Skills Gap: Companies are addressing talent shortages through hiring, training, and acquiring capabilities.
Governance and Ethics: Establishing responsible AI governance is critical to mitigate risks and maintain trust.
Strategy Implementation: Enterprises need a clear roadmap and prioritized execution to leverage AI effectively while managing risks.

Future Outlook:

Generative AI is poised to transform business processes, enhance employee productivity, and drive innovation. However, successful adoption requires addressing infrastructure, talent, and regulatory challenges.

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