{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"企业AI智能体评估存在\"现实对齐\"缺口：半数组织曾将通过内部测试的智能体部署到生产环境后导致客户故障","description":"对157家企业的调查显示，50%的组织在过去一年曾部署通过内部评估但导致客户故障的AI智能体或大语言模型功能，5%的企业完全信任自动化评估，29%认为评估与现实结果对齐不佳是最大局限。尽管信任度低，66%的企业已允许或正计划在12个月内实现低风险智能体的全自动、无人工干预部署。","url":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/","mainEntityOfPage":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/","datePublished":"2026-07-16T16:40:48.000Z","dateModified":"2026-07-16T16:40:48.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway","https://aihot.virxact.com/items/cmrnrc11901tnbizz2dlcio3z"],"canonicalUrl":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/","directAnswer":{"@type":"Answer","text":"一项覆盖157家企业的调查显示，50%的组织曾在过去一年将通过内部评估的AI智能体或大语言模型功能投入生产，随后出现客户故障，反映内部测试结果与真实环境表现存在偏差。","url":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/","dateCreated":"2026-07-16T16:40:48.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"VentureBeat source article","url":"https://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway","datePublished":"2026-07-16T16:40:48.000Z","provider":{"@type":"Organization","name":"VentureBeat","url":"https://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrnrc11901tnbizz2dlcio3z","datePublished":"2026-07-16T16:40:48.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrnrc11901tnbizz2dlcio3z"}}],"aggregationSource":"VentureBeat：AI（RSS）","originalPublisher":{"name":"VentureBeat","url":"https://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway"},"article":{"id":"cmrnrc11901tnbizz2dlcio3z","slug":"cmrnrc11901tnbizz2dlcio3z","url":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/","title":"企业AI智能体评估存在\"现实对齐\"缺口：半数组织曾将通过内部测试的智能体部署到生产环境后导致客户故障","title_en":"The agent evaluation gap： Enterprise AI organizations have a reality-alignment problem， not a coverage problem - and most are shipping to production anyway","summary":"对157家企业的调查显示，50%的组织在过去一年曾部署通过内部评估但导致客户故障的AI智能体或大语言模型功能，5%的企业完全信任自动化评估，29%认为评估与现实结果对齐不佳是最大局限。尽管信任度低，66%的企业已允许或正计划在12个月内实现低风险智能体的全自动、无人工干预部署。","source":"VentureBeat：AI（RSS）","sourceUrl":"https://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway","aiHotUrl":"https://aihot.virxact.com/items/cmrnrc11901tnbizz2dlcio3z","publishedAt":"2026-07-16T16:40:48.000Z","category":"技巧观点","score":72,"selected":true,"articleBody":["对157家企业的调查显示，50%的组织在过去一年曾部署通过内部评估但导致客户故障的AI智能体或大语言模型功能，5%的企业完全信任自动化评估，29%认为评估与现实结果对齐不佳是最大局限。","尽管信任度低，66%的企业已允许或正计划在12个月内实现低风险智能体的全自动、无人工干预部署。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"一项覆盖157家企业的调查显示，50%的组织曾在过去一年将通过内部评估的AI智能体或大语言模型功能投入生产，随后出现客户故障，反映内部测试结果与真实环境表现存在偏差。","background":"调查中仅5%的企业表示完全信任自动化评估，29%将评估与现实结果对齐不佳视为最大局限。与此同时，66%的企业已允许或计划在12个月内对低风险智能体实行全自动、无人工干预部署。","viewpoint":"Aioga判断，材料呈现的核心矛盾并非企业是否开展评估，而是评估结果能否代表生产环境。自动化评估信任度有限与自动部署推进并存，值得关注其风险识别和上线决策是否充分衔接。","implications":"这可能意味着，仅以内部评估通过作为部署依据，仍不足以排除客户侧故障。随着低风险智能体自动部署扩大，企业可能需要更谨慎地界定“低风险”，并持续核对评估结果与现实表现。","nextStep":"值得关注企业是否补充生产环境反馈、客户故障记录及人工复核机制，并明确自动部署的适用范围。后续报道还应核查调查对象构成、评估标准和“客户故障”的具体定义。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-22T23:09:13.008Z","sourceHash":"d062f652e457c62f","review":{"approved":true,"groundedness":94,"clarity":91,"duplicationRisk":18,"blockingIssues":[],"notes":["“Aioga判断”明确标示为观点，未将推断冒充来源事实。","“这可能意味着”“可能需要”等表述恰当地限定了推论强度。","后续核查调查对象构成、评估标准及“客户故障”定义属于合理的审核建议，并非来源已证实的信息。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","VentureBeat：AI（RSS）"],"translations":{"zh-CN":{"title":"企业AI智能体评估存在\"现实对齐\"缺口：半数组织曾将通过内部测试的智能体部署到生产环境后导致客户故障","summary":"对157家企业的调查显示，50%的组织在过去一年曾部署通过内部评估但导致客户故障的AI智能体或大语言模型功能，5%的企业完全信任自动化评估，29%认为评估与现实结果对齐不佳是最大局限。尽管信任度低，66%的企业已允许或正计划在12个月内实现低风险智能体的全自动、无人工干预部署。","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"企业AI智能体评估存在\"现实对齐\"缺口：半数组织曾将通过内部测试的智能体部署到生产环境后导致客户故障 - Aioga AI资讯","description":"对157家企业的调查显示，50%的组织在过去一年曾部署通过内部评估但导致客户故障的AI智能体或大语言模型功能，5%的企业完全信任自动化评估，29%认为评估与现实结果对齐不佳是最大局限。尽管信任度低，66%的企业已允许或正计划在12个月内实现低风险智能体的全自动、无人工干预部署。","url":"https://www.aioga.com/news/cmrnrc11901tnbizz2dlcio3z/"},"en":{"title":"Enterprise AI agent evaluations have a \"real-world alignment\" gap: half of organizations deployed internally tested agents in production that caused customer issues","summary":"A survey of 157 companies shows that 50% deployed AI agents or large language model features that passed internal evaluations but caused customer issues over the past year, 5% of companies completely trust automated evaluations, and 29% believe poor alignment between evaluations and real-world results is the biggest limitation. Despite low trust, 66% of companies have allowed or plan to allow fully automated deployment of low-risk agents without human intervention within 12 months.","category":"Insights","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Enterprise AI agent evaluations have a \"real-world alignment\" gap: half of organizations deployed internally tested agents in production that caused customer issues - Aioga AI News","description":"A survey of 157 companies shows that 50% deployed AI agents or large language model features that passed internal evaluations but caused customer issues over the past year, 5% of c","url":"https://www.aioga.com/en/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-18T04:59:10.256Z"},"ja":{"title":"エンタープライズAIエージェント評価には「現実整合性」のギャップがあります。組織の半数が内部テストを通過したエージェントを本番環境に導入し、顧客の失敗を引き起こしています","summary":"157社を対象とした調査では、過去1年以内にAIエージェントや大規模言語モデル機能を導入し、内部評価は通過したものの顧客の失敗を引き起こし、5%が完全に信頼される自動評価を、29%が評価と実際の結果の整合性が最大の問題と考えていることが示されました。 信頼度は低いにもかかわらず、66%の企業が12ヶ月以内に人間の介入なしに低リスクエージェントを完全に自動化した導入を許可または計画しています。","category":"ヒントと視点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"エンタープライズAIエージェント評価には「現実整合性」のギャップがあります。組織の半数が内部テストを通過したエージェントを本番環境に導入し、顧客の失敗を引き起こしています - Aioga AIニュース","description":"157社を対象とした調査では、過去1年以内にAIエージェントや大規模言語モデル機能を導入し、内部評価は通過したものの顧客の失敗を引き起こし、5%が完全に信頼される自動評価を、29%が評価と実際の結果の整合性が最大の問題と考えていることが示されました。 信頼度は低いにもかかわらず、66%の企業が12ヶ月以内に人間の介入なしに低リスクエージェントを完全に自動化し","url":"https://www.aioga.com/ja/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-18T04:59:30.717Z"},"ko":{"title":"기업 AI 에이전트 평가에는 '현실 정렬' 격차가 있습니다: 절반의 조직이 내부 테스트를 통과한 에이전트를 프로덕션 환경에 배포해 고객 실패를 초래했습니다","summary":"157개 기업을 대상으로 한 설문조사에 따르면, 50%의 조직이 AI 에이전트나 내부 평가를 통과했지만 지난 1년간 고객 실패를 초래한 대규모 언어 모델 기능을 배포했고, 5%는 완전 신뢰받는 자동화 평가를, 29%는 평가와 실제 결과 간의 불완전한 정렬을 가장 큰 한계로 꼽았습니다. 신뢰도가 낮음에도 불구하고, 66%의 기업이 12개월 이내에 인간의 개입 없이 저위험 에이전트를 완전 자동화된 상태로 배포할 것을 허용하거나 계획 중입니다.","category":"인사이트","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"기업 AI 에이전트 평가에는 '현실 정렬' 격차가 있습니다: 절반의 조직이 내부 테스트를 통과한 에이전트를 프로덕션 환경에 배포해 고객 실패를 초래했습니다 - Aioga AI 뉴스","description":"157개 기업을 대상으로 한 설문조사에 따르면, 50%의 조직이 AI 에이전트나 내부 평가를 통과했지만 지난 1년간 고객 실패를 초래한 대규모 언어 모델 기능을 배포했고, 5%는 완전 신뢰받는 자동화 평가를, 29%는 평가와 실제 결과 간의 불완전한 정렬을 가장 큰 한계로 꼽았습니다. 신뢰도가 낮음에도 불구하고, 66%의","url":"https://www.aioga.com/ko/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-18T04:59:50.451Z"},"es":{"title":"Existe una brecha de \"alineación de la realidad\" en la evaluación de agentes de IA empresariales: la mitad de las organizaciones han desplegado agentes que han pasado pruebas internas en entornos de producción y han provocado fallos de clientes","summary":"Una encuesta a 157 empresas mostró que el 50% de las organizaciones desplegó agentes de IA o grandes funciones de modelos de lenguaje que superaron evaluaciones internas pero causaron fallos de clientes en el último año, el 5% confió plenamente en evaluaciones automatizadas y el 29% consideró la mayor limitación una mala alineación entre evaluaciones y resultados reales. A pesar de la baja confianza, el 66% de las empresas ha permitido o planea desplegar agentes de bajo riesgo totalmente automatizados, sin intervención humana, en un plazo de 12 meses.","category":"Ideas","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Existe una brecha de \"alineación de la realidad\" en la evaluación de agentes de IA empresariales: la mitad de las organizaciones han desplegado agentes que han pasado pruebas internas en entornos de producción y han provocado fallos de clientes - Aioga Noticias de IA","description":"Una encuesta a 157 empresas mostró que el 50% de las organizaciones desplegó agentes de IA o grandes funciones de modelos de lenguaje que superaron evaluaciones internas pero causa","url":"https://www.aioga.com/es/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-18T05:00:10.600Z"},"fr":{"title":"Il existe un écart d'« alignement de la réalité » dans l’évaluation des agents d’IA d’entreprise : la moitié des organisations ont déployé des agents qui ont permis de passer les tests internes dans des environnements de production et de provoquer des défaillances clients","summary":"Une enquête menée auprès de 157 entreprises a montré que 50 % des organisations déployaient des agents d’IA ou de grandes fonctionnalités de modèles de langage qui avaient réussi les évaluations internes mais provoqué des échecs clients au cours de l’année écoulée, 5 % faisaient entièrement confiance aux évaluations automatisées, et 29 % considéraient un mauvais alignement entre les évaluations et les résultats réels comme la principale limite. Malgré une faible confiance, 66 % des entreprises ont autorisé ou prévoient de déployer des agents à faible risque entièrement automatisés, sans intervention humaine, dans un délai de 12 mois.","category":"Analyses","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Il existe un écart d'« alignement de la réalité » dans l’évaluation des agents d’IA d’entreprise : la moitié des organisations ont déployé des agents qui ont permis de passer les tests internes dans des environnements de production et de provoquer des défaillances clients - Aioga Actualités IA","description":"Une enquête menée auprès de 157 entreprises a montré que 50 % des organisations déployaient des agents d’IA ou de grandes fonctionnalités de modèles de langage qui avaient réussi l","url":"https://www.aioga.com/fr/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-18T05:00:30.010Z"},"de":{"title":"Es gibt eine \"Reality Alignment\"-Lücke bei der Bewertung von Enterprise-KI-Agenten: Die Hälfte der Organisationen hat Agenten, die interne Tests bestanden haben, in Produktionsumgebungen eingesetzt und so Kundenausfälle verursacht","summary":"Eine Umfrage unter 157 Unternehmen zeigte, dass 50 % der Organisationen KI-Agenten oder große Sprachmodellmerkmale einsetzten, die interne Bewertungen bestanden hatten, aber im vergangenen Jahr Kundenausfälle verursachten, 5 % vollen automatisierten Bewertungen vertrauten und 29 % die mangelhafte Übereinstimmung zwischen Bewertungen und tatsächlichen Ergebnissen als größte Einschränkung betrachteten. Trotz geringem Vertrauen haben 66 % der Unternehmen innerhalb von 12 Monaten erlaubt oder planen, risikoarme Agenten vollständig automatisiert und ohne menschliches Eingreifen einzusetzen.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Es gibt eine \"Reality Alignment\"-Lücke bei der Bewertung von Enterprise-KI-Agenten: Die Hälfte der Organisationen hat Agenten, die interne Tests bestanden haben, in Produktionsumgebungen eingesetzt und so Kundenausfälle verursacht - Aioga KI-News","description":"Eine Umfrage unter 157 Unternehmen zeigte, dass 50 % der Organisationen KI-Agenten oder große Sprachmodellmerkmale einsetzten, die interne Bewertungen bestanden hatten, aber im ver","url":"https://www.aioga.com/de/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:10.277Z"},"pt-BR":{"title":"Existe uma lacuna de \"alinhamento da realidade\" na avaliação de agentes de IA corporativa: metade das organizações implantou agentes que passaram testes internos em ambientes de produção e causaram falhas dos clientes","summary":"Uma pesquisa com 157 empresas mostrou que 50% das organizações utilizaram agentes de IA ou grandes recursos de modelos de linguagem que passaram por avaliações internas, mas causaram falhas de clientes no último ano, 5% confiaram totalmente em avaliações automatizadas e 29% consideraram o mau alinhamento entre avaliações e resultados reais como a maior limitação. Apesar da baixa confiança, 66% das empresas permitiram ou planejam implantar agentes de baixo risco totalmente automatizados, sem intervenção humana, em até 12 meses.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Existe uma lacuna de \"alinhamento da realidade\" na avaliação de agentes de IA corporativa: metade das organizações implantou agentes que passaram testes internos em ambientes de produção e causaram falhas dos clientes - Aioga Notícias de IA","description":"Uma pesquisa com 157 empresas mostrou que 50% das organizações utilizaram agentes de IA ou grandes recursos de modelos de linguagem que passaram por avaliações internas, mas causar","url":"https://www.aioga.com/pt-BR/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:07.000Z"},"ru":{"title":"Существует пробел в «согласовании реальности» в оценке корпоративных агентов ИИ: половина организаций развернула агентов, которые прошли внутреннее тестирование в производственные среды и вызвали сбои клиентов","summary":"Опрос 157 компаний показал, что 50% организаций развернули агентов ИИ или большие функции языковых моделей, которые прошли внутренние оценки, но вызвали сбои клиентов за последний год, 5% полностью доверяли автоматизированным оценкам, а 29% считали плохую согласованность оценок с реальными результатами как главное ограничение. Несмотря на низкое доверие, 66% предприятий разрешили или планируют полностью автоматизировать низкорисковые агенты без участия человека в течение 12 месяцев.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Существует пробел в «согласовании реальности» в оценке корпоративных агентов ИИ: половина организаций развернула агентов, которые прошли внутреннее тестирование в производственные среды и вызвали сбои клиентов - Aioga Новости ИИ","description":"Опрос 157 компаний показал, что 50% организаций развернули агентов ИИ или большие функции языковых моделей, которые прошли внутренние оценки, но вызвали сбои клиентов за последний ","url":"https://www.aioga.com/ru/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:07.272Z"},"ar":{"title":"هناك فجوة \"مواءمة الواقع\" في تقييم وكلاء الذكاء الاصطناعي للمؤسسات: نصف المؤسسات نشرت وكلاء اجتازوا اختبارات داخلية في بيئات الإنتاج وتسببوا في فشل العملاء","summary":"أظهر استطلاع شمل 157 شركة أن 50٪ من المؤسسات استخدمت وكلاء ذكاء اصطناعي أو ميزات نماذج لغوية كبيرة اجتازت تقييمات داخلية لكنها تسببت في فشل العملاء خلال العام الماضي، و5٪ وثقت تماما في التقييمات المؤتمتة، و29٪ اعتبرت ضعف التوافق بين التقييمات والنتائج الفعلية أكبر قيود. على الرغم من انخفاض الثقة، سمحت 66٪ من المؤسسات أو تخطط لنشر وكلاء منخفضي المخاطر بشكل مؤتمت بالكامل، دون تدخل بشري خلال 12 شهرا.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"هناك فجوة \"مواءمة الواقع\" في تقييم وكلاء الذكاء الاصطناعي للمؤسسات: نصف المؤسسات نشرت وكلاء اجتازوا اختبارات داخلية في بيئات الإنتاج وتسببوا في فشل العملاء - Aioga أخبار الذكاء الاصطناعي","description":"أظهر استطلاع شمل 157 شركة أن 50٪ من المؤسسات استخدمت وكلاء ذكاء اصطناعي أو ميزات نماذج لغوية كبيرة اجتازت تقييمات داخلية لكنها تسببت في فشل العملاء خلال العام الماضي، و5٪ وثقت تمام","url":"https://www.aioga.com/ar/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:10.128Z"},"hi":{"title":"एंटरप्राइज़ एआई एजेंट मूल्यांकन में एक \"वास्तविकता संरेखण\" अंतर है: आधे संगठनों ने ऐसे एजेंट तैनात किए हैं जो उत्पादन वातावरण में आंतरिक परीक्षण पास करते हैं और ग्राहक विफलताओं का कारण बनते हैं","summary":"157 कंपनियों के एक सर्वेक्षण से पता चला है कि 50% संगठनों ने एआई एजेंटों या बड़ी भाषा मॉडल सुविधाओं को तैनात किया जो आंतरिक मूल्यांकन पारित करते हैं लेकिन पिछले वर्ष में ग्राहकों की विफलताओं का कारण बने, 5% पूरी तरह से विश्वसनीय स्वचालित मूल्यांकन, और 29% ने आकलन और वास्तविक परिणामों के बीच खराब संरेखण को सबसे बड़ी सीमा माना। कम विश्वास के बावजूद, 66% उद्यमों ने 12 महीनों के भीतर मानवीय हस्तक्षेप के बिना, कम जोखिम वाले एजेंटों को पूरी तरह से स्वचालित रूप से तैनात करने की अनुमति दी है या योजना बना रहे हैं।","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"एंटरप्राइज़ एआई एजेंट मूल्यांकन में एक \"वास्तविकता संरेखण\" अंतर है: आधे संगठनों ने ऐसे एजेंट तैनात किए हैं जो उत्पादन वातावरण में आंतरिक परीक्षण पास करते हैं और ग्राहक विफलताओं का कारण बनते हैं - Aioga AI समाचार","description":"157 कंपनियों के एक सर्वेक्षण से पता चला है कि 50% संगठनों ने एआई एजेंटों या बड़ी भाषा मॉडल सुविधाओं को तैनात किया जो आंतरिक मूल्यांकन पारित करते हैं लेकिन पिछले वर्ष में ग्राहकों क","url":"https://www.aioga.com/hi/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:07.895Z"},"it":{"title":"Esiste un divario di \"allineamento della realtà\" nella valutazione degli agenti di IA aziendali: metà delle organizzazioni ha distribuito agenti che hanno superato i test interni negli ambienti di produzione e causato fallimenti dei clienti","summary":"Un sondaggio su 157 aziende ha mostrato che il 50% delle organizzazioni ha utilizzato agenti di IA o funzionalità di grandi modelli linguistici che hanno superato le valutazioni interne ma causato fallimenti dei clienti nell'ultimo anno, il 5% si è fidato completamente delle valutazioni automatizzate e il 29% ha considerato il cattivo allineamento tra valutazioni e risultati reali come la limitazione maggiore. Nonostante la bassa fiducia, il 66% delle imprese ha permesso o sta pianificando di implementare agenti a basso rischio completamente automatizzati, senza intervento umano, entro 12 mesi.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Esiste un divario di \"allineamento della realtà\" nella valutazione degli agenti di IA aziendali: metà delle organizzazioni ha distribuito agenti che hanno superato i test interni negli ambienti di produzione e causato fallimenti dei clienti - Aioga Notizie IA","description":"Un sondaggio su 157 aziende ha mostrato che il 50% delle organizzazioni ha utilizzato agenti di IA o funzionalità di grandi modelli linguistici che hanno superato le valutazioni in","url":"https://www.aioga.com/it/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:10.791Z"},"nl":{"title":"Er is een \"reality alignment\"-kloof in de evaluatie van enterprise AI-agenten: de helft van de organisaties heeft agenten die interne tests doorstonden ingezet in productieomgevingen en klantuitval veroorzaakten","summary":"Uit een enquête onder 157 bedrijven bleek dat 50% van de organisaties AI-agenten of grote taalmodelfuncties inzette die interne evaluaties doorstonden maar het afgelopen jaar klantfalen veroorzaakten, 5% volledig vertrouwde op geautomatiseerde evaluaties, en 29% vond slechte afstemming tussen assessments en daadwerkelijke resultaten de grootste beperking. Ondanks het lage vertrouwen heeft 66% van de ondernemingen toegestaan of is van plan om laag-risico agenten volledig geautomatiseerd in te zetten, zonder menselijke tussenkomst binnen 12 maanden.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Er is een \"reality alignment\"-kloof in de evaluatie van enterprise AI-agenten: de helft van de organisaties heeft agenten die interne tests doorstonden ingezet in productieomgevingen en klantuitval veroorzaakten - Aioga AI-nieuws","description":"Uit een enquête onder 157 bedrijven bleek dat 50% van de organisaties AI-agenten of grote taalmodelfuncties inzette die interne evaluaties doorstonden maar het afgelopen jaar klant","url":"https://www.aioga.com/nl/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:07.398Z"},"tr":{"title":"Kurumsal yapay zeka ajanı değerlendirmesinde bir \"gerçeklik uyumu\" boşluğu var: organizasyonların yarısı, üretim ortamlarına dahili testlerden geçen ve müşteri arızalarına yol açan ajanlar yerleştirmiştir","summary":"157 şirketle yapılan bir anket, organizasyonların %50'sinin iç değerlendirmeleri geçen ancak müşteri başarısızlıklarına yol açan yapay zeka ajanları veya büyük dil modeli özellikleri kullandığını, %5'inin otomatik değerlendirmelere tamamen güvendiğini ve %29'unun değerlendirmeler ile gerçek sonuçlar arasındaki kötü uyumu en büyük sınırlama olarak gördüğünü gösterdi. Düşük güvene rağmen, işletmelerin %66'sı düşük riskli ajanları tamamen otomatik olarak, insan müdahalesi olmadan 12 ay içinde yerleştirmeye izin verdi veya planlıyor.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Kurumsal yapay zeka ajanı değerlendirmesinde bir \"gerçeklik uyumu\" boşluğu var: organizasyonların yarısı, üretim ortamlarına dahili testlerden geçen ve müşteri arızalarına yol açan ajanlar yerleştirmiştir - Aioga AI Haberleri","description":"157 şirketle yapılan bir anket, organizasyonların %50'sinin iç değerlendirmeleri geçen ancak müşteri başarısızlıklarına yol açan yapay zeka ajanları veya büyük dil modeli özellikle","url":"https://www.aioga.com/tr/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:11.205Z"},"vi":{"title":"Có một lỗ hổng \"liên kết thực tế\" trong đánh giá tác nhân AI của doanh nghiệp: một nửa số tổ chức đã triển khai các tác nhân vượt qua thử nghiệm nội bộ vào môi trường sản xuất và gây ra lỗi cho khách hàng","summary":"Một cuộc khảo sát với 157 công ty cho thấy 50% tổ chức triển khai các tác nhân AI hoặc các tính năng mô hình ngôn ngữ lớn vượt qua đánh giá nội bộ nhưng gây ra lỗi cho khách hàng trong năm qua, 5% hoàn toàn tin cậy đánh giá tự động và 29% coi sự liên kết kém giữa đánh giá và kết quả thực tế là hạn chế lớn nhất. Mặc dù độ tin cậy thấp, 66% doanh nghiệp đã cho phép hoặc đang có kế hoạch triển khai các tác nhân rủi ro thấp hoàn toàn tự động, không cần sự can thiệp của con người trong vòng 12 tháng.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Có một lỗ hổng \"liên kết thực tế\" trong đánh giá tác nhân AI của doanh nghiệp: một nửa số tổ chức đã triển khai các tác nhân vượt qua thử nghiệm nội bộ vào môi trường sản xuất và gây ra lỗi cho khách hàng - Tin tức AI Aioga","description":"Một cuộc khảo sát với 157 công ty cho thấy 50% tổ chức triển khai các tác nhân AI hoặc các tính năng mô hình ngôn ngữ lớn vượt qua đánh giá nội bộ nhưng gây ra lỗi cho khách hàng t","url":"https://www.aioga.com/vi/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:07.768Z"},"id":{"title":"Ada kesenjangan \"penyelarasan realitas\" dalam evaluasi agen AI perusahaan: setengah dari organisasi telah menyebarkan agen yang lulus pengujian internal ke lingkungan produksi dan menyebabkan kegagalan pelanggan","summary":"Sebuah survei terhadap 157 perusahaan menunjukkan bahwa 50% organisasi menerapkan agen AI atau fitur model bahasa besar yang lulus evaluasi internal tetapi menyebabkan kegagalan pelanggan dalam setahun terakhir, 5% evaluasi otomatis sepenuhnya tepercaya, dan 29% menganggap keselarasan yang buruk antara penilaian dan hasil aktual sebagai batasan terbesar. Meskipun kepercayaan rendah, 66% perusahaan telah mengizinkan atau berencana untuk menyebarkan agen berisiko rendah secara otomatis sepenuhnya, tanpa campur tangan manusia dalam waktu 12 bulan.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"Ada kesenjangan \"penyelarasan realitas\" dalam evaluasi agen AI perusahaan: setengah dari organisasi telah menyebarkan agen yang lulus pengujian internal ke lingkungan produksi dan menyebabkan kegagalan pelanggan - Berita AI Aioga","description":"Sebuah survei terhadap 157 perusahaan menunjukkan bahwa 50% organisasi menerapkan agen AI atau fitur model bahasa besar yang lulus evaluasi internal tetapi menyebabkan kegagalan pe","url":"https://www.aioga.com/id/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:11.252Z"},"th":{"title":"มีช่องว่าง \"การจัดตําแหน่งความเป็นจริง\" ในการประเมินตัวแทน AI ขององค์กร: ครึ่งหนึ่งขององค์กรได้ปรับใช้ตัวแทนที่ผ่านการทดสอบภายในในสภาพแวดล้อมการผลิตและทําให้ลูกค้าล้มเหลว","summary":"การสํารวจ 157 บริษัท แสดงให้เห็นว่า 50% ขององค์กรปรับใช้ตัวแทน AI หรือคุณลักษณะโมเดลภาษาขนาดใหญ่ที่ผ่านการประเมินภายใน แต่ทําให้ลูกค้าล้มเหลวในปีที่ผ่านมา 5% ประเมินอัตโนมัติที่เชื่อถือได้อย่างเต็มที่ และ 29% ถือว่าการจัดตําแหน่งที่ไม่ดีระหว่างการประเมินและผลลัพธ์จริงเป็นข้อจํากัดที่ใหญ่ที่สุด แม้จะมีความน่าเชื่อถือต่ํา แต่ 66% ขององค์กรได้อนุญาตหรือกําลังวางแผนที่จะปรับใช้ตัวแทนที่มีความเสี่ยงต่ําแบบอัตโนมัติเต็มรูปแบบโดยไม่ต้องมีการแทรกแซงของมนุษย์ภายใน 12 เดือน","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"มีช่องว่าง \"การจัดตําแหน่งความเป็นจริง\" ในการประเมินตัวแทน AI ขององค์กร: ครึ่งหนึ่งขององค์กรได้ปรับใช้ตัวแทนที่ผ่านการทดสอบภายในในสภาพแวดล้อมการผลิตและทําให้ลูกค้าล้มเหลว - ข่าว AI Aioga","description":"การสํารวจ 157 บริษัท แสดงให้เห็นว่า 50% ขององค์กรปรับใช้ตัวแทน AI หรือคุณลักษณะโมเดลภาษาขนาดใหญ่ที่ผ่านการประเมินภายใน แต่ทําให้ลูกค้าล้มเหลวในปีที่ผ่านมา 5% ประเมินอัตโนมัติที่เชื","url":"https://www.aioga.com/th/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:08.303Z"},"pl":{"title":"W ocenie agentów AI w przedsiębiorstwie istnieje luka w \"dopasowaniu rzeczywistości\": połowa organizacji wdrożyła agentów, którzy przeszli testy wewnętrzne do środowisk produkcyjnych i spowodowały awarie klientów","summary":"Badanie przeprowadzone w 157 firmach wykazało, że 50% organizacji wdrożyło agentów AI lub funkcje dużych modeli językowych, które przeszły wewnętrzne oceny, ale powodowały awarie klientów w ciągu ostatniego roku, 5% w pełni zaufane automatyczne oceny, a 29% uznało słabe dopasowanie między ocenami a rzeczywistymi wynikami za największe ograniczenie. Pomimo niskiego zaufania, 66% przedsiębiorstw pozwoliło lub planuje wdrożenie agentów niskiego ryzyka w pełni zautomatyzowane, bez udziału człowieka w ciągu 12 miesięcy.","category":"技巧观点","source":"VentureBeat：AI（RSS）","aggregationSource":"VentureBeat：AI（RSS）","pageTitle":"W ocenie agentów AI w przedsiębiorstwie istnieje luka w \"dopasowaniu rzeczywistości\": połowa organizacji wdrożyła agentów, którzy przeszli testy wewnętrzne do środowisk produkcyjnych i spowodowały awarie klientów - Aioga Wiadomości AI","description":"Badanie przeprowadzone w 157 firmach wykazało, że 50% organizacji wdrożyło agentów AI lub funkcje dużych modeli językowych, które przeszły wewnętrzne oceny, ale powodowały awarie k","url":"https://www.aioga.com/pl/news/cmrnrc11901tnbizz2dlcio3z/","contentTranslated":true,"sourceHash":"d2c5cd22825a94df","translatedAt":"2026-07-19T13:34:11.122Z"}}}}