德勤：企业生成式人工智能应用：现状立足当下，谋定未来(英文 34 页)

Now decides next: Insights from the leading edge of generative AI adoption

Deloitte’s State of Generative AI in the Enterprise Quarter one report

Table of contents

Foreword

Introduction

Now: Key findings

 1 Excitement about generative AI remains high, and transformative impacts are expected in the next three years.

2 Many leaders are confident about their organization’s generative AI expertise.

3 Organizations that report very high expertise in generative AI tend to feel more positive about it—but also more pressured and threatened.

4 Current generative AI efforts remain more focused on efficiency, productivity and cost reduction than on innovation and growth.

5 Most organizations are still primarily relying on off-the-shelf generative AI solutions.

6 Talent, governance and risk are critical areas where generative AI preparedness is lacking.

7 Leaders see significant societal impacts on the horizon.

8 Leaders are looking for more regulation and collaboration globally.

现在决定下一步：来自生成式人工智能采用前沿的见解

德勤第一季度企业生成式人工智能现状报告

目录

前言

介绍

主要发现

1 人们对生成式人工智能的热情依然高涨，预计未来三年将产生变革性影响。

2 许多领导者对其组织的生成式人工智能专业知识充满信心。

3 在生成人工智能方面拥有极高专业知识的组织往往对此感到更加积极，但也面临更大的压力和威胁。

4 当前的生成式人工智能工作仍然更注重效率、生产力和降低成本，而不是创新和增长。

5 大多数组织仍然主要依赖现成的生成式人工智能解决方案。

6 人才、治理和风险是生成式人工智能准备不足的关键领域。

7 领导人看到了即将产生的重大社会影响。

8 领导者正在寻求全球范围内更多的监管和合作。

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