生成式人工智能：企业拥抱进步和应对挑战的双刃剑

尽管人们对生成式人工智能的潜力充满热情，但最近由 Coleman Parkes Research Ltd. 进行并由 SAS 赞助的一项调查显示，美国组织在实施该技术时面临着重大障碍。主要问题包括缺乏治理框架（93% 的企业）、数据隐私和安全问题（80% 的领导者）、人才短缺以及 GenAI 与现有系统集成困难。这些发现凸显了组织需要制定全面的战略并投资于确保语言模型的集成、治理和可解释性的技术，以充分实现生成人工智能的价值。

Generative AI: A Double-Edged Sword for Businesses Embracing Progress and Facing Challenges

生成式人工智能：企业拥抱进步和应对挑战的双刃剑

Las Vegas, April 18, 2024 - While businesses eagerly embrace the transformative potential of generative AI (GenAI) to revolutionize their operations and enhance productivity, a recent study reveals a concerning lack of governance frameworks and strategic preparation, posing obstacles to realizing the full benefits of this cutting-edge technology.

拉斯维加斯，2024 年 4 月 18 日 - 虽然企业热切地拥抱生成式人工智能 (GenAI) 的变革潜力，以彻底改变其运营并提高生产力，但最近的一项研究显示，治理框架和战略准备的缺乏令人担忧，这为实现全部效益带来了障碍这项尖端技术。

The study, conducted by Coleman Parkes Research Ltd. in partnership with SAS, surveyed 300 US decision-makers responsible for GenAI strategy or data analytics. The findings paint a picture of organizations navigating a complex landscape of opportunities and challenges as they seek to harness the power of GenAI.

这项研究由 Coleman Parkes Research Ltd. 与 SAS 合作开展，调查了 300 名负责 GenAI 战略或数据分析的美国决策者。研究结果描绘了组织在寻求利用 GenAI 的力量时应对充满机遇和挑战的复杂局面的图景。

The Enthusiasm and the Gaps

热情与差距

Organizations are enthusiastic about the potential of GenAI to drive efficiency and innovation. However, beneath the surface of this optimism lies a concerning realization of understanding gaps, a lack of strategic planning, and a talent shortage that hinder the effective implementation and measurement of the technology's true value.

各组织对 GenAI 推动效率和创新的潜力充满热情。然而，在这种乐观的表面之下，却存在着认识上的差距、缺乏战略规划和人才短缺，这些都阻碍了技术真正价值的有效实施和衡量。

"Organizations are recognizing that large language models alone do not solve business challenges," said Marinela Profi, Strategic AI Advisor at SAS. "GenAI should be viewed as a complementary tool to enhance existing processes and systems, rather than a magic bullet that will fulfill all their business aspirations. It is essential for organizations to invest time and resources in developing a sound strategy and implementing technology that provides integration, governance, and explainability of GenAI models before committing fully and getting locked into suboptimal solutions."

SAS 战略人工智能顾问 Marinela Profi 表示：“各组织逐渐认识到，仅靠大型语言模型并不能解决业务挑战。” “GenAI 应被视为增强现有流程和系统的补充工具，而不是满足其所有业务愿望的灵丹妙药。组织必须投入时间和资源来制定合理的战略并实施提供集成的技术在完全投入并陷入次优解决方案之前，GenAI 模型的、治理和可解释性。”

Stumbling Blocks to Implementation

实施的绊脚石

Businesses face significant challenges in four key areas of GenAI implementation:

企业在 GenAI 实施的四个关键领域面临重大挑战：

1. Trust in Data Usage and Regulatory Compliance: Only 10% of organizations have a robust system in place to evaluate bias and privacy risks associated with GenAI models. Moreover, a staggering 93% of US businesses lack a comprehensive governance framework for GenAI, exposing them to potential noncompliance risks.
2. Integration with Existing Systems: Organizations report encountering compatibility issues while attempting to integrate GenAI with their current systems, hindering seamless implementation and the realization of potential synergies.
3. Talent and Skills: There is a scarcity of in-house GenAI expertise. As HR departments struggle to fill positions with qualified candidates, organizational leaders express concern about their ability to derive maximum value from their GenAI investments due to a lack of necessary skills.
4. Cost Predictions: Decision-makers highlight the prohibitive direct and indirect costs associated with utilizing GenAI models. While model creators initially provide token cost estimates, organizations are realizing the true extent of expenses involved in knowledge preparation, training, and ongoing model management, which are often protracted and complex.

"The key to unlocking the full potential of GenAI lies in identifying real-world use cases that deliver tangible value and address human needs in a sustainable and scalable manner," Profi emphasized. "Through this study, we reaffirm our commitment to empowering organizations to stay relevant, invest wisely, and maintain resilience. In an era characterized by rapid AI advancements, competitive advantage hinges on the ability to embrace the resilience rules."

对数据使用和监管合规性的信任：只有 10% 的组织拥有强大的系统来评估与 GenAI 模型相关的偏见和隐私风险。此外，高达 93% 的美国企业缺乏针对 GenAI 的全面治理框架，使他们面临潜在的违规风险。 与现有系统集成：组织报告在尝试将 GenAI 与其当前系统集成时遇到兼容性问题，阻碍了无缝实施和实现人才和技能：内部 GenAI 专业知识匮乏。随着人力资源部门努力用合格的候选人填补职位空缺，组织领导者对由于缺乏必要的技能而从 GenAI 投资中获得最大价值的能力表示担忧。 成本预测：决策者强调与利用 GenAI 相关的令人望而却步的直接和间接成本GenAI 模型。虽然模型创建者最初提供代币成本估算，但组织正在意识到知识准备、培训和持续模型管理所涉及的真实费用范围，这些费用往往是旷日持久且复杂的。“释放 GenAI 全部潜力的关键在于识别真实的成本。” -以可持续和可扩展的方式提供有形价值并满足人类需求的世界用例，”Profi 强调。 “通过这项研究，我们重申我们致力于帮助组织保持相关性、明智投资和保持弹性。在人工智能快速发展的时代，竞争优势取决于接受弹性规则的能力。”

The Path Forward

前进的道路

To overcome these challenges and fully leverage the benefits of GenAI, businesses must prioritize the following steps:

为了克服这些挑战并充分利用 GenAI 的优势，企业必须优先考虑以下步骤：

1. Develop a Clear GenAI Strategy: Establish a well-defined strategy that aligns GenAI initiatives with broader business objectives, addressing issues of data governance, resource allocation, and risk management.
2. Invest in Governance and Compliance: Implement robust governance frameworks to ensure ethical and responsible use of GenAI, mitigate bias and privacy risks, and maintain compliance with regulatory requirements.
3. Foster a Culture of Innovation: Cultivate an organizational culture that encourages innovation, experimentation, and continuous learning to stay abreast of the latest GenAI advancements and best practices.
4. Upskill the Workforce: Invest in training and development programs to equip employees with the necessary skills and knowledge to effectively utilize GenAI and derive maximum value from its capabilities.

SAS Innovate and Beyond

制定明确的 GenAI 战略：制定明确的战略，使 GenAI 计划与更广泛的业务目标保持一致，解决数据治理、资源分配和风险管理问题。投资于治理和合规性：实施强大的治理框架，确保道德和负责任的使用培养创新文化：培养鼓励创新、实验和持续学习的组织文化，以跟上 GenAI 的最新进展和最佳实践。提高员工技能：投资培训和发展计划，为员工提供必要的技能和知识，以有效利用 GenAI 并从其能力中获得最大价值。SAS 创新与超越

The GenAI market research findings were unveiled at SAS Innovate, a leading industry event that brings together business leaders, technical experts, and SAS partners to explore the latest data and AI trends and innovations. SAS remains committed to supporting organizations as they navigate the evolving GenAI landscape, providing cutting-edge solutions, expertise, and thought leadership to help them unlock the full potential of this transformative technology.

GenAI 市场研究结果在 SAS Innovate 上公布，SAS Innovate 是一项领先的行业活动，汇聚了商界领袖、技术专家和 SAS 合作伙伴，共同探索最新的数据和 AI 趋势和创新。 SAS 仍然致力于支持组织应对不断发展的 GenAI 格局，提供尖端的解决方案、专业知识和思想领导力，帮助他们释放这一变革性技术的全部潜力。

As the GenAI market continues to evolve, SAS remains at the forefront of innovation, helping organizations overcome challenges, capitalize on opportunities, and embrace the power of GenAI to drive success and competitive advantage.

随着 GenAI 市场的不断发展，SAS 始终走在创新的前沿，帮助组织克服挑战、利用机遇并利用 GenAI 的力量来推动成功和竞争优势。