{"id":97199,"date":"2025-11-10T08:00:50","date_gmt":"2025-11-10T11:00:50","guid":{"rendered":"https:\/\/abes.org.br\/?p=97199"},"modified":"2025-11-03T13:15:17","modified_gmt":"2025-11-03T16:15:17","slug":"estudo-qlik-sobre-ia-agentica-2025-orcamentos-aumentam-mas-prontidao-dos-dados-atrasa-a-expansao","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/estudo-qlik-sobre-ia-agentica-2025-orcamentos-aumentam-mas-prontidao-dos-dados-atrasa-a-expansao\/","title":{"rendered":"Qlik Study on Agency AI 2025: Budgets increase, but data readiness delays expansion."},"content":{"rendered":"

\"\"<\/p>\n

97% of large companies have funding available; only 18% have fully implemented Agency AI, as data quality and access are at the top of the list of barriers.<\/em><\/p>\n

THE\u00a0<\/b>Qlik\u00ae<\/sup><\/b><\/a>,<\/b>\u00a0A global leader in data integration, data quality, analytics, and artificial intelligence (AI).,\u00a0<\/span>The Qlik 2025 Agentic AI Study analyzes how large companies are planning, funding, and operationalizing agentic AI. The research, commissioned from Enterprise Technology Research (ETR), demonstrated a strong commitment to agentic AI, coupled with clear execution gaps. Nearly all respondents have already committed budget, but most say it will take years to operationalize at scale, with data quality and the integration of agentic AI initiatives with existing systems cited as the main obstacles.<\/span><\/p>\n

\u201cCompanies aren\u2019t lacking in ambition or funding. What they lack are the databases and analytics that allow agents to work across the enterprise with reliability and control,\u201d says James Fisher, Chief Strategy Officer at Qlik. \u201cIf you want Agency AI to make a difference in 2026, invest first in reliable pipelines, interoperability, and a practical return on investment (ROI) framework that your board believes in.\u201d<\/span><\/p>\n

The main findings are:<\/p>\n

\u2013\u00a0The money is available:\u00a0<\/b>97% have already committed budget to Agency AI, with 39% planning to spend US$$ 1 million or more, and 34% allocating from 10% to 25% of their AI budget. This is now a specific item considered in the budget, which creates expectations for visible results in 2026.<\/p>\n

\u2013\u00a0The strategy is maturing, but value measurement is lagging behind.\u00a0<\/b>69% report a formal AI strategy, compared to 37% in 2024, but only 19% have a defined ROI framework. The governance narrative is shifting from \u201cwe should do this\u201d to \u201cwhat will we get out of it\u201d.<\/p>\n

\u2013\u00a0Large-scale use will take time.\u00a0<\/b>Only 18% have fully implemented Agency AI, and 46% say scaling will take three to five years, with only 42% confident in their internal expertise. 2026 appears to be a building phase, not a phase of widespread implementation.<\/p>\n

\u2013\u00a0Data is the bottleneck:\u00a0<\/b>Quality, availability, and access to data top the list of barriers, followed by integration, skills, and governance. The constraint is the corporate structure, more so than the power of the model.<\/p>\n

\u2013\u00a0The risk lies at the implementation stage:\u00a0<\/b>The main concerns are cybersecurity and the reliability of\u00a0output<\/i>\u00a0...and legal exposure, with explainability and auditability close behind. Risk leaders will set the pace and supplier selection.<\/p>\n

\u2013\u00a0Where the agents arrive first:\u00a0<\/b>IT operations and software development are the most targeted areas, with cost reduction as the main objective and productivity as the primary metric. The first gains are concentrated where telemetry and baselines already exist.<\/p>\n

Agency AI has overcome budget constraints and is now integrated into operational plans for 2026. The initial action is pragmatic: respondents point to IT operations and software development as pioneers, where results and telemetry are clearest. The obstacle to scaling is less attributable to the model's capabilities and more related to the challenge of integrating governed, high-quality data into existing workflows and connecting systems without adding risk. Until that happens, many programs will remain pilots and trials, rather than fully operational.<\/p>\n

\u201cAs spending moves from experimentation to fixed budget lines, the constraints are the classic enterprise ones: data quality, integration, governance, and talent,\u201d says Erik Bradley, Chief Strategist at Enterprise Technology Research (ETR). \u201cOur data shows broad intent, but only a minority are ready to scale. The coming year will be about transforming narrowly scoped use cases in IT operations and software engineering into durable and measurable production.\u201d\u00a0<\/b><\/p>\n

About the Qlik Agency AI Study 2025<\/b><\/p>\n

The \u201cAI Agentic Study,\u201d conducted in August 2025 by Enterprise Technology Research (ETR) on behalf of Qlik, surveyed over 200 enterprise technology decision-makers across various sectors. This is the third annual AI study commissioned by Qlik from ETR.<\/p>\n

Regarding the\u00a0<\/b>Qlik<\/b>\u00a0<\/a><\/p>\n

THE\u00a0Qlik<\/b><\/a>\u00a0Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving more than 40,000 global customers, the Qlik portfolio provides advanced enterprise-grade AI\/ML, data integration, and analytics. Qlik\u2019s practical and scalable AI\/ML tools drive faster, better decisions. Qlik is the leader in data integration and governance, offering end-to-end solutions that work with diverse data sources. Qlik\u2019s intuitive analytics uncover hidden patterns, empowering teams to tackle complex challenges and seize new opportunities. Qlik is a strategic partner, and its expertise and technology-agnostic platform make its customers more competitive. For more information, visit\u00a0www.qlik.com\/pt-br<\/a>.<\/p>\n

\u00a9 2025 QlikTech International AB. All rights reserved. All company and\/or product names may be trade names, trademarks, and\/or registered trademarks of the respective owners with which they are associated.<\/p>","protected":false},"excerpt":{"rendered":"

97% das grandes empresas t\u00eam financiamento dispon\u00edvel; apenas 18% implementaram totalmente a IA Ag\u00eantica, uma vez que a qualidade e o acesso aos dados est\u00e3o no topo da lista de barreiras A\u00a0Qlik\u00ae,\u00a0l\u00edder global em integra\u00e7\u00e3o de dados, qualidade de dados, analytics e intelig\u00eancia artificial (IA),\u00a0divulga o Estudo Qlik sobre IA Ag\u00eantica 2025 (Qlik 2025 Agentic […]<\/p>\n","protected":false},"author":12,"featured_media":97200,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[8331,8420,8419],"class_list":["post-97199","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-ia-agentica","tag-ia-agentica-integra-planos-operacionais","tag-qualidade-e-o-acesso-aos-dados"],"acf":[],"yoast_head":"\nEstudo Qlik sobre IA Ag\u00eantica 2025: or\u00e7amentos aumentam, mas prontid\u00e3o dos dados atrasa a expans\u00e3o - ABES<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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