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AI Transitioning From Ideation to Industrialization for Critical Business Operations, According to New Rackspace Technology FAIR 2024 AI Research

AI Transitioning From Ideation to Industrialization for Critical Business Operations, According to New Rackspace Technology FAIR 2024 AI Research

根据2024年最新Rackspace技术博览会AI Research的数据,人工智能正在从构思过渡到关键业务运营的工业化
Rackspace Technology ·  03/26 00:00
AI Transitioning from Ideation to Industrialization for Critical Business Operations, According to New Rackspace Technology FAIR 2024 AI Research
根据2024年最新Rackspace技术博览会AI Research的数据,人工智能正在从构思过渡到关键业务运营的工业化

New Foundry for AI by Rackspace (FAIR) 2024 AI Research Report sponsored by AWS and commissioned by Rackspace Technology finds that more than 60% of participants have advanced their Artificial Intelligence (AI) strategies beyond the ideation and proof-of-concept stages and are now transitioning to the initial phases of adoption.

由AWS赞助并受Rackspace Technology委托的2024年人工智能铸造厂(FAIR)发布的《2024年人工智能研究报告》发现,超过60%的参与者已经将人工智能(AI)策略推向了构思和概念验证阶段,现在正过渡到采用的初始阶段。

Study Shows AI Investments Have Doubled in Past Year, Underscoring Accelerated Adoption

研究表明,在过去的一年中,人工智能的投资翻了一番,这凸显了采用率的加快

SAN ANTONIO, March 26, 2024 (GLOBE NEWSWIRE) -- New Foundry for AI by Rackspace (FAIR) 2024 AI Research Report sponsored by AWS and commissioned by Rackspace Technology (NASDAQ: RXT), a leading end-to-end hybrid, multicloud, and AI technology services company, finds that more than 60% of participants have advanced their Artificial Intelligence (AI) strategies beyond the ideation and proof-of-concept stages and are now transitioning to the initial phases of adoption. The research report results also revealed that nearly one-third of respondents have successfully integrated AI into their business operations, highlighting AI's exceptionally rapid adoption and evolution.

圣安东尼奥,2024 年 3 月 26 日(GLOBE NEWSWIRE)— 新 Rackspace 的 AI 铸造厂 (FAIR) 2024 年人工智能研究报告 由 AWS 赞助并委托 机架空间科技 (NASDAQ: RXT) 是一家领先的端到端混合、多云和人工智能技术服务公司,该公司发现,超过60%的参与者已经将人工智能(AI)策略推向了构思和概念验证阶段,现在正过渡到采用的初始阶段。研究报告的结果还显示,近三分之一的受访者已成功将人工智能整合到他们的业务运营中,这凸显了人工智能的异常快速的采用和演变。

When asked where they currently are in their AI journey, 29% of respondents reported that they have fully integrated AI strategy for use in employee productivity, with an additional 33% at the early stages of development. Companies are also seeing internal benefits, with 29% saying they have fully integrated AI and 31% at the early stages. The most fully developed use of AI is customer products and services, with 33% having fully integrated AI and an additional 34% in the initial stages of implementation. Nearly half of respondents reported being "operationally ready" for AI.

当被问及他们目前在人工智能之旅中所处的位置时,有29%的受访者表示他们已经完全整合了用于提高员工生产力的人工智能战略,另有33%的受访者处于开发的早期阶段。各公司也看到了内部利益,29%的人表示他们已经完全整合了人工智能,31%的人在早期阶段。人工智能最完善的用途是客户的产品和服务,33% 的人拥有完全集成的人工智能,另有34%处于实施的初始阶段。近一半的受访者表示已为人工智能 “做好运营准备”。

"Unlike previous technological disruptions that were years in the making, such as the mainframe, client servers, and cloud computing, there has been little to no, 'wait and see' period for AI. Instead, companies across the board have jumped in with both feet," said Srini Koushik, President AI, Technology, and Sustainability, Rackspace Technology. "As AI becomes increasingly commoditized with easier consumption models, it is establishing itself as a ubiquitous tool that can fit almost anywhere, with a broad-brush impact across all aspects of the organization."

“与之前历经数年的技术颠覆(例如大型机、客户端服务器和云计算)不同,人工智能几乎没有'等着看'的时期。相反,各公司都双管齐下。” Rackspace Technology人工智能、技术和可持续发展总裁斯里尼·库希克说。“随着人工智能随着更简单的消费模式而变得越来越商品化,它正在将自己确立为一种无处不在的工具,几乎可以适用于任何地方,对组织的各个方面都产生了广泛的影响。”

In June 2023, Rackspace Technology launched FAIR, a global practice dedicated to helping organizations accelerate the responsible and sustainable adoption of AI across all industries. FAIR provides three distinct service offerings: Ideate, Incubate, and Industrialize which are designed to meet the needs of organizations as they execute their AI transformation. FAIR Ideate and FAIR Incubate are available on AWS Marketplace.

2023年6月,Rackspace Technology推出了FAIR,这是一项全球惯例,致力于帮助各组织加速在所有行业以负责任和可持续的方式采用人工智能。FAIR提供三种不同的服务产品:Ideate、Incubate和Industrialize,旨在满足组织在执行人工智能转型时的需求。FAIR Ideate 和 FAIR Incubate 可在 AWS 市场

Investment in AI Continues to Rise
The survey findings reveal a continued surge in AI investment, with companies anticipating doubling their budgets in 2024 as compared to 2023. Moreover, respondents say their investments are yielding significant returns, with 86% reporting that their companies have seen tangible benefits from the implementation of AI – a notable increase of 10% over Rackspace's 2023 survey.

对人工智能的投资持续增加
调查结果显示,人工智能投资持续激增,各公司预计,与2023年相比,2024年的预算将翻一番。此外,受访者表示,他们的投资带来了可观的回报,86%的受访者表示,他们的公司已经从人工智能的实施中获得了切实的好处——比Rackspace的2023年调查显著增长了10%。

Among the leading use cases for AI/Machine Learning (ML) initiatives, respondents highlighted efficiency as the primary motivation and advantage, with intelligent search (62%), document processing (61%), and fraud detection (56%) emerging as the leading cases.

在人工智能/机器学习(ML)计划的主要用例中,受访者强调效率是主要动机和优势,智能搜索(62%)、文档处理(61%)和欺诈检测(56%)成为主要案例。

When asked about the driving force behind their company's AI strategy, 57% of respondents cited their IT departments as taking the lead. However, IT teams are also receiving support from various other departments across their organizations. Specifically, 46% of respondents mentioned that customer service played a role as an early adopter in driving their AI strategies, while 44% reported involvement from functional departments such as marketing, sales, and finance. In addition, approximately half of all respondents also say they are achieving their goals in executive sponsorship of AI initiatives, business unit alignment, strategic alignment, and product management.

当被问及公司人工智能战略背后的推动力时,有57%的受访者表示他们的IT部门处于领先地位。但是,IT 团队也得到了其组织中其他各个部门的支持。具体而言,46%的受访者表示,客户服务在推动其人工智能战略方面发挥了早期采用者的作用,而44%的受访者表示有营销、销售和财务等职能部门的参与。此外,大约一半的受访者还表示,他们在人工智能计划的高管赞助、业务部门调整、战略调整和产品管理方面正在实现他们的目标。

"The doubling down on AI investment over the past year is akin to progress at the speed of light," said Nirmal Ranganathan, Vice President of Engineering and Chief AI Architect, Rackspace Technology. "But it's not merely the magnitude of investment that is worth noting. The widespread adoption of AI across various parts of businesses indicates that organizations recognize it as a profoundly impactful technology with transformative capabilities."

Rackspace Technology工程副总裁兼首席人工智能架构师尼尔马尔·兰加纳森表示:“在过去的一年中,人工智能投资的翻倍增长类似于以光速发展。”“但是,值得注意的不仅仅是投资的规模。企业各部门广泛采用人工智能,这表明各组织认识到它是一项具有变革能力的具有深远影响力的技术。”

Security & Ethics Remain a Concern
Despite the widespread and rapid adoption, organizations remain cautious of AI-associated risks, including ethical and security concerns associated with the technology. Fifty-eight percent of respondents ranked cybersecurity as the biggest risk their organization sees in AI adoption, while just 51% of respondents report that they follow proper data management and retention policies to manage compliance.

安全与道德仍然是一个问题
尽管被广泛而迅速地采用,但各组织仍对人工智能相关风险保持谨慎,包括与该技术相关的道德和安全问题。58%的受访者将网络安全列为其组织在采用人工智能方面面临的最大风险,而只有51%的受访者表示他们遵循适当的数据管理和保留政策来管理合规性。

Alongside security, ethics emerge as a key concern, with over half of respondents considering the responsible and ethical use of AI as being a part of their approach for AI governance. The key considerations for what respondents considered to be 'Responsible AI' were data privacy (55%), accountability (52%) and transparency (48%).

除安全外,道德也成为关键问题,超过一半的受访者认为负责任和合乎道德地使用人工智能是其人工智能治理方法的一部分。受访者认为 “负责任的人工智能” 的关键考虑因素是数据隐私(55%)、问责制(52%)和透明度(48%)。

"Despite concerns regarding data breaches, the strong trust that IT leaders place in AI systems surpasses the standards of governance," added Koushik. "This underscores the lingering gaps in the safeguards for Ethical AI, which require urgent attention."

库希克补充说:“尽管有人担心数据泄露,但IT领导者对人工智能系统的强烈信任超过了治理标准。”“这凸显了伦理人工智能保障措施中挥之不去的差距,这些差距需要紧急关注。”

AI Talent and Upskilling
The survey also revealed an ongoing shortage of AI skills. Key roles that companies are looking to fill include software development (44%), machine learning (42%), and data analytics, engineering, and governance (40%). In response, 39% of companies currently offer formalized AI training/learning programs, with an additional 58% planning to develop such programs in the future.

人工智能人才和技能提升
该调查还显示,人工智能技能持续短缺。公司希望填补的关键职位包括软件开发(44%)、机器学习(42%)以及数据分析、工程和治理(40%)。作为回应,目前有39%的公司提供正式的人工智能培训/学习计划,另有58%的公司计划在未来开发此类计划。

Survey Methodology
Commissioned by Rackspace Technology, the survey was conducted by Coleman Parkes Research in January and February 2024. Findings are based on the responses of 1,420 IT decision-makers across manufacturing/logistics, retail, hospitality/travel, energy, healthcare/pharma/biomedical, government, media/entertainment, and financial service sectors in the Americas, Europe, Asia, and the Middle East. Most companies/organizations polled have from 1,000 to 10,000+ employees and annual revenue between $50m and $15b.

调查方法
该调查由Rackspace Technology委托,由科尔曼·帕克斯研究公司于2024年1月和2月进行。调查结果基于美洲、欧洲、亚洲和中东制造/物流、零售、酒店/旅游、能源、医疗保健/制药/生物医学、政府、媒体/娱乐和金融服务领域的 1,420 名 IT 决策者的回应。大多数接受调查的公司/组织拥有1,000至10,000多名员工,年收入在5000万美元至150亿美元之间。

For additional survey findings, whitepaper, and infographic, click here.

如需更多调查结果、白皮书和信息图,请单击 这里

About Foundry for AI by Rackspace (FAIR)
FAIR is a groundbreaking global practice dedicated to advancing business transformation, improving customer experience, increasing the quality of service, and accelerating value creation through the secure and responsible use of AI technologies. FAIR has identified over 500 use cases across multiple industries and is working on several industry-leading implementations for our customers across the globe.

关于 Rackspace (FAIR) 的 AI 铸造厂
公平 是一项开创性的全球业务,致力于通过安全和负责任地使用人工智能技术来推进业务转型、改善客户体验、提高服务质量并加速价值创造。FAIR已经确定了多个行业的500多个用例,并正在为全球客户开发多个行业领先的实施方案。

About Rackspace Technology
Rackspace Technology is a leading end-to-end hybrid, multicloud and AI technology services company. We can design, build and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies.

关于 Rackspace 科技
机架空间科技 是一家领先的端到端混合、多云和人工智能技术服务公司。无论技术堆栈或部署模式如何,我们都可以在所有主要技术平台上设计、构建和运营客户的云环境。我们在客户云之旅的每个阶段都与他们合作,使他们能够实现应用程序现代化、开发新产品和采用创新技术。

Media Contact: Natalie Silva, publicrelations@rackspace.com

媒体联系人:娜塔莉·席尔瓦, publicrelations@rackspace.com

声明:本内容仅用作提供资讯及教育之目的,不构成对任何特定投资或投资策略的推荐或认可。 更多信息
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