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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

根據2024年最新Rackspace技術博覽會AI Research的數據,人工智能正在從構思過渡到關鍵業務運營的工業化
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
根據2024年最新Rackspace技術博覽會AI Research的數據,人工智能正在從構思過渡到關鍵業務運營的工業化

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贊助並受Rackspace Technology委託的2024年人工智能鑄造廠(FAIR)發佈的《2024年人工智能研究報告》發現,超過60%的參與者已經將人工智能(AI)策略推向了構思和概念驗證階段,現在正過渡到採用的初始階段。

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

研究表明,在過去的一年中,人工智能的投資翻了一番,這凸顯了採用率的加快

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.

聖安東尼奧,2024 年 3 月 26 日(GLOBE NEWSWIRE)— 新 Rackspace 的 AI 鑄造廠 (FAIR) 2024 年人工智能研究報告 由 AWS 贊助並委託 機架空間科技 (NASDAQ: RXT) 是一家領先的端到端混合、多雲和人工智能技術服務公司,該公司發現,超過60%的參與者已經將人工智能(AI)策略推向了構思和概念驗證階段,現在正過渡到採用的初始階段。研究報告的結果還顯示,近三分之一的受訪者已成功將人工智能整合到他們的業務運營中,這凸顯了人工智能的異常快速的採用和演變。

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.

當被問及他們目前在人工智能之旅中所處的位置時,有29%的受訪者表示他們已經完全整合了用於提高員工生產力的人工智能戰略,另有33%的受訪者處於開發的早期階段。各公司也看到了內部利益,29%的人表示他們已經完全整合了人工智能,31%的人在早期階段。人工智能最完善的用途是客戶的產品和服務,33% 的人擁有完全集成的人工智能,另有34%處於實施的初始階段。近一半的受訪者表示已爲人工智能 “做好運營準備”。

"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."

“與之前歷經數年的技術顛覆(例如大型機、客戶端服務器和雲計算)不同,人工智能幾乎沒有'等着看'的時期。相反,各公司都雙管齊下。” Rackspace Technology人工智能、技術和可持續發展總裁斯里尼·庫希克說。“隨着人工智能隨着更簡單的消費模式而變得越來越商品化,它正在將自己確立爲一種無處不在的工具,幾乎可以適用於任何地方,對組織的各個方面都產生了廣泛的影響。”

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,這是一項全球慣例,致力於幫助各組織加速在所有行業以負責任和可持續的方式採用人工智能。FAIR提供三種不同的服務產品:Ideate、Incubate和Industrialize,旨在滿足組織在執行人工智能轉型時的需求。FAIR Ideate 和 FAIR Incubate 可在 AWS 市場

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.

對人工智能的投資持續增加
調查結果顯示,人工智能投資持續激增,各公司預計,與2023年相比,2024年的預算將翻一番。此外,受訪者表示,他們的投資帶來了可觀的回報,86%的受訪者表示,他們的公司已經從人工智能的實施中獲得了切實的好處——比Rackspace的2023年調查顯著增長了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/機器學習(ML)計劃的主要用例中,受訪者強調效率是主要動機和優勢,智能搜索(62%)、文檔處理(61%)和欺詐檢測(56%)成爲主要案例。

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.

當被問及公司人工智能戰略背後的推動力時,有57%的受訪者表示他們的IT部門處於領先地位。但是,IT 團隊也得到了其組織中其他各個部門的支持。具體而言,46%的受訪者表示,客戶服務在推動其人工智能戰略方面發揮了早期採用者的作用,而44%的受訪者表示有營銷、銷售和財務等職能部門的參與。此外,大約一半的受訪者還表示,他們在人工智能計劃的高管贊助、業務部門調整、戰略調整和產品管理方面正在實現他們的目標。

"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工程副總裁兼首席人工智能架構師尼爾馬爾·蘭加納森表示:“在過去的一年中,人工智能投資的翻倍增長類似於以光速發展。”“但是,值得注意的不僅僅是投資的規模。企業各部門廣泛採用人工智能,這表明各組織認識到它是一項具有變革能力的具有深遠影響力的技術。”

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.

安全與道德仍然是一個問題
儘管被廣泛而迅速地採用,但各組織仍對人工智能相關風險保持謹慎,包括與該技術相關的道德和安全問題。58%的受訪者將網絡安全列爲其組織在採用人工智能方面面臨的最大風險,而只有51%的受訪者表示他們遵循適當的數據管理和保留政策來管理合規性。

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,道德也成爲關鍵問題,超過一半的受訪者認爲負責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。受訪者認爲 “負責任的人工智能” 的關鍵考慮因素是數據隱私(55%)、問責制(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."

庫希克補充說:“儘管有人擔心數據泄露,但IT領導者對人工智能系統的強烈信任超過了治理標準。”“這凸顯了倫理人工智能保障措施中揮之不去的差距,這些差距需要緊急關注。”

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
該調查還顯示,人工智能技能持續短缺。公司希望填補的關鍵職位包括軟件開發(44%)、機器學習(42%)以及數據分析、工程和治理(40%)。作爲回應,目前有39%的公司提供正式的人工智能培訓/學習計劃,另有58%的公司計劃在未來開發此類計劃。

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.

調查方法
該調查由Rackspace Technology委託,由科爾曼·帕克斯研究公司於2024年1月和2月進行。調查結果基於美洲、歐洲、亞洲和中東製造/物流、零售、酒店/旅遊、能源、醫療保健/製藥/生物醫學、政府、媒體/娛樂和金融服務領域的 1,420 名 IT 決策者的回應。大多數接受調查的公司/組織擁有1,000至10,000多名員工,年收入在5000萬美元至150億美元之間。

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

如需更多調查結果、白皮書和信息圖,請單擊 這裏

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.

關於 Rackspace (FAIR) 的 AI 鑄造廠
公平 是一項開創性的全球業務,致力於通過安全和負責任地使用人工智能技術來推進業務轉型、改善客戶體驗、提高服務質量並加速價值創造。FAIR已經確定了多個行業的500多個用例,並正在爲全球客戶開發多個行業領先的實施方案。

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.

關於 Rackspace 科技
機架空間科技 是一家領先的端到端混合、多雲和人工智能技術服務公司。無論技術堆棧或部署模式如何,我們都可以在所有主要技術平台上設計、構建和運營客戶的雲環境。我們在客戶雲之旅的每個階段都與他們合作,使他們能夠實現應用程序現代化、開發新產品和採用創新技術。

Media Contact: Natalie Silva, publicrelations@rackspace.com

媒體聯繫人:娜塔莉·席爾瓦, publicrelations@rackspace.com

声明:本內容僅用作提供資訊及教育之目的,不構成對任何特定投資或投資策略的推薦或認可。 更多信息
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