生成式人工智慧：企業擁抱進步與應對挑戰的雙面刃

儘管人們對生成式人工智慧的潛力充滿熱情，但最近由 Coleman Parkes Research Ltd. 進行並由 SAS 贊助的一項調查顯示，美國組織在實施該技術時面臨著重大障礙。主要問題包括缺乏治理框架（93% 的企業）、資料隱私和安全問題（80% 的領導者）、人才短缺以及 GenAI 與現有系統整合困難。這些發現凸顯了組織需要製定全面的策略並投資於確保語言模型的整合、治理和可解釋性的技術，以充分實現生成人工智慧的價值。

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

生成式人工智慧：企業擁抱進步與應對挑戰的雙面刃

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.

拉斯維加斯，2024 年4 月18 日- 雖然企業熱切地擁抱生成式人工智慧(GenAI) 的變革潛力，以徹底改變其運營並提高生產力，但最近的一項研究顯示，治理框架和策略準備的缺乏令人擔憂，這為實現全部效益帶來了障礙這項尖端技術。

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.

這項研究由 Coleman Parkes Research Ltd. 與 SAS 合作進行，調查了 300 名負責 GenAI 策略或數據分析的美國決策者。研究結果描繪了組織在尋求利用 GenAI 的力量時應對充滿機會和挑戰的複雜局面的圖景。

The Enthusiasm and the Gaps

熱情與差距

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.

各組織對 GenAI 推動效率和創新的潛力充滿熱情。然而，在這種樂觀的表面之下，卻存在著認識上的差距、缺乏策略規劃和人才短缺，這些都阻礙了技術真正價值的有效實施和衡量。

"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 策略人工智慧顧問 Marinela Profi 表示：“各組織逐漸認識到，僅靠大型語言模型並不能解決業務挑戰。” 「GenAI 應被視為增強現有流程和系統的補充工具，而不是滿足其所有業務願望的靈丹妙藥。組織必須投入時間和資源來製定合理的戰略並實施提供整合的技術在完全投入並陷入次優在解決方案之前，GenAI 模型的、治理和可解釋性。

Stumbling Blocks to Implementation

實施的絆腳石

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

企業在 GenAI 實施的四個關鍵領域面臨重大挑戰：

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."

對資料使用和監管合規性的信任：只有 10% 的組織擁有強大的系統來評估與 GenAI 模型相關的偏見和隱私風險。此外，高達93% 的美國企業缺乏針對GenAI 的全面治理框架，使他們面臨潛在的違規風險。縫實施和實現人才和技能：內部 GenAI 專業知識不足。隨著人力資源部門努力用合格的候選人填補職位空缺，組織領導者對由於缺乏必要的技能而從GenAI 投資中獲得最大價值的能力表示擔憂。望而卻步的直接和間接成本GenAI 模型。雖然模型創建者最初提供代幣成本估算，但組織正在意識到知識準備、培訓和持續模型管理所涉及的真實費用範圍，這些費用往往是曠日持久且複雜的。的成本。 “透過這項研究，我們重申我們致力於幫助組織保持相關性、明智投資和保持彈性。在人工智慧快速發展的時代，競爭優勢取決於接受彈性規則的能力。”

The Path Forward

前進的道路

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

為了克服這些挑戰並充分利用 GenAI 的優勢，企業必須優先考慮以下步驟：

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

制定明確的GenAI 策略：制定明確的策略，使GenAI 計畫與更廣泛的業務目標保持一致，解決資料治理、資源分配和風險管理問題。和負責任的使用培養創新文化：培養鼓勵創新、實驗和持續學習的組織文化，以跟上 GenAI 的最新進展和最佳實踐。知識，以有效利用GenAI 並從其能力中獲得最大價值。

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 市場研究結果在 SAS Innovate 上公佈，SAS Innovate 是一項領先的行業活動，匯集了商界領袖、技術專家和 SAS 合作夥伴，共同探索最新的數據和 AI 趨勢和創新。 SAS 仍然致力於支持組織應對不斷發展的 GenAI 格局，提供尖端的解決方案、專業知識和思想領導力，幫助他們釋放這項變革性技術的全部潛力。

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.

隨著 GenAI 市場的不斷發展，SAS 始終走在創新的前沿，幫助組織克服挑戰、利用機會並利用 GenAI 的力量來推動成功和競爭優勢。