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Snowflake:2025年数据与人工智能终极行业指南:组织如何抢占AI风口 驱动业务价值新增长(中译版)(24页).pdf

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1、THE ULTIMATE GUIDE TO DATA+AI FORINDUSTRIES 2025How organizations can leverage AI right now to drive business valueTABLE OF CONTENTSINTRODUCTION .3HOW AI CAN POWER SUCCESS IN SEVEN INDUSTRIES .8FINANCIAL SERVICES .9MEDIA AND ENTERTAINMENT .11HEALTHCARE AND LIFE SCIENCES .13PUBLIC SECTOR .15RETAIL AN

2、D CONSUMER GOODS .17MANUFACTURING .19TELECOMMUNICATIONS .21NEXT STEPS .23Table of Contents|2 ULTIMATE GUIDE TO DATA+AI FOR INDUSTRIES 2025INTRODUCTIONAI is having its moment.Organizations from every sector from financial services behemoths and city governments to big box retailers and research hospi

3、tals are scrambling to figure out how best to capitalize on the enormous potential of this technology,particularly advancements in generative AI.According to a recent survey,80%of Fortune 500 companies say they have gen AI policies and strategies in the works and plan to operationalize gen AI over t

4、he next three years to boost employee productivity,improve customer service or automate manual processes.But while seemingly everyone is talking about AI,not everyone is using it.In fact,on average,AI adoption in the U.S.is still relatively low.According to the U.S.Census Bureaus Business Trends and

5、 Outlook Survey AI Supplement,an average of only 3.8%of organizations report currently using AI to produce goods and services,though 6.5%say they plan to adopt it within six months.Adoption rates range widely depending on the industry.About 18%of information services companies reported using AI,comp

6、ared to 7%for financial services and 5%for healthcare.Other industries lag even further behind,such as retail(3%)and manufacturing(3%).But that may soon change.In the next few years,many organizations now in the experimentation phase plan to roll out new AI use cases,specifically for generative AI,c

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本文主要介绍了2025年数据和人工智能在七个行业中的应用,包括金融服务、媒体和娱乐、医疗保健和生命科学、公共部门、零售和消费品、制造业以及电信业。文章指出,尽管人工智能在各个行业中的应用率仍然较低,但预计在未来几年中,许多目前处于试验阶段的组织将推出新的AI用例,特别是生成式AI。文章还强调了生成式AI在各个行业中的潜在价值,包括提高员工生产力、改善客户服务和自动化手动流程。然而,人工智能的采用旅程并非没有挑战,包括治理、安全和伦理问题,以及组织障碍、数据问题和技术的复杂性。文章还提到了Snowflake的AI数据云,它可以帮助组织在各个行业中利用数据和人工智能来驱动成功。
如何在金融行业利用AI提高投资组合分析效率? 媒体和娱乐公司如何利用AI创造个性化客户体验? 制造业如何利用AI提高供应链优化和质量控制?
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