{"id":103026,"date":"2026-04-24T08:00:25","date_gmt":"2026-04-24T11:00:25","guid":{"rendered":"https:\/\/abes.org.br\/?p=103026"},"modified":"2026-04-14T21:53:31","modified_gmt":"2026-04-15T00:53:31","slug":"conselho-de-ia-da-qlik-alerta-empresas-para-se-prepararem-para-a-parte-mais-dificil-da-ia","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/conselho-de-ia-da-qlik-alerta-empresas-para-se-prepararem-para-a-parte-mais-dificil-da-ia\/","title":{"rendered":"Qlik&#039;s AI Council warns companies to prepare for the most difficult part of AI."},"content":{"rendered":"<p style=\"text-align: center;\"><em>Five experts highlight the changes that will shape AI as systems become increasingly integrated into workflows, regulatory environments diverge, and the choice of models continues to shift.<\/em><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-103027 aligncenter\" src=\"https:\/\/abes.org.br\/wp-content\/uploads\/2026\/04\/QLIK-CONSELHO-IA-1024x576.jpg\" alt=\"\" width=\"535\" height=\"301\" \/><\/p>\n<p class=\"x_MsoNormal\"><b><span data-olk-copy-source=\"MessageBody\">Key highlights:<\/span><\/b><\/p>\n<p class=\"x_MsoNormal\"><b>Trust will be earned through evidence.<\/b>\u00a0Companies will need assessments, tests, and accountability mechanisms that are grounded in real-world operating conditions.<\/p>\n<p class=\"x_MsoNormal\"><b>Geopolitics is reaching the architectural level.<\/b>\u00a0Implementation options, data limitations, and national priorities are becoming part of the AI strategy.<\/p>\n<p class=\"x_MsoNormal\"><b>Adaptability is becoming a requirement.<\/b>\u00a0The lasting advantage will come from reliable data, sound reasoning, and the freedom to adopt better models and assistants as the market evolves.<\/p>\n<p class=\"x_MsoNormal\">THE\u00a0<a title=\"https:\/\/www.qlik.com\/pt-br\" href=\"https:\/\/www.qlik.com\/pt-br\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" data-linkindex=\"0\">Qlik\u00ae<\/a>\u00a0This brings a warning to the action of its AI Council regarding the changes that companies must prepare for as AI advances and deepens in supporting decision-making, workflow execution, and day-to-day operations.<\/p>\n<p class=\"x_MsoNormal\">The Council&#039;s message is clear: the next phase of AI will be shaped by forces that many organizations are still underestimating. Evaluation and accountability will carry more weight. Regulatory environments will continue to fragment. The quality of reasoning will face greater scrutiny. The turnover of models and interfaces will continue. Architectural choices will determine how quickly companies can adapt without having to reinvent themselves repeatedly.<\/p>\n<p class=\"x_MsoNormal\">\u201cAI is entering a more challenging phase with more consequences,\u201d says Mike Capone, CEO of Qlik. \u201cThe easy conversations are over. Access to powerful models is widespread. The more difficult question is whether AI can operate within the real-world conditions of a business, with reliable data, responsible reasoning, evolving regulatory requirements, and the flexibility needed to continue adapting as the market changes.\u201d<b>\u00a0<\/b><\/p>\n<p class=\"x_MsoNormal\"><b>Five perspectives on what companies should prepare.<\/b><\/p>\n<p class=\"x_MsoNormal\">\u201cMany organizations still treat governance as a set of documents,\u201d says Dr. Rumman Chowdhury, a responsible AI leader, engineer, auditor, and investor. \u201cThis approach will fail under real pressure. As AI gets closer to decisions and actions, trust will depend on evidence. Evaluation needs to happen continuously, under real-world conditions, with clear signals of when systems are trustworthy and when they are not.\u201d<\/p>\n<p class=\"x_MsoNormal\">\u201cThe next AI divide will be shaped by power, access, and dependence,\u201d says Nina Schick, Author, Advisor, and Founder of an AI Consultancy. \u201cIntelligence is being industrialized, concentrated, and contested all at once. Leaders need to think beyond decisions about tools and focus on whether their organizations are structured to adapt as the configuration of the AI economy transforms.\u201d<\/p>\n<p class=\"x_MsoNormal\">\u201cRegulatory fragmentation is becoming an operational reality for global companies,\u201d says Kelly Forbes, Co-Founder and Executive Director of the AI Asia Pacific Institute. \u201cDifferent markets are advancing at different speeds, with different expectations regarding transparency, work impact, oversight, and acceptable use. Companies that can scale effectively will treat coordination and adaptability as core capabilities from the outset.\u201d<\/p>\n<p class=\"x_MsoNormal\">\u201cA fluent result can still reflect superficial reasoning,\u201d says Michael Bronstein, Professor of Artificial Intelligence at DeepMind, University of Oxford. \u201cThe systems that matter in business will be those capable of working with structure, relationships, and constraints. It is the context that makes intelligence useful within a real organization.\u201d<\/p>\n<p class=\"x_MsoNormal\">\u201cThe model layer will continue to change faster than most enterprise planning cycles,\u201d says Mark Relph, Director of Go-To-Market (GTM) for Data and AI at AWS. \u201cCompanies should operate on the premise that new models, new assistants, and new orchestration patterns will continue to emerge. The most enduring choice is to remain open, governed, and ready to adopt what works without overhauling the entire system every time.\u201d<\/p>\n<p class=\"x_MsoNormal\">Taken together, the council&#039;s perspectives point to a more demanding standard of AI readiness. Companies will need systems that withstand scrutiny, operate with reliable context, incorporate better models as they emerge, and remain useful as business, regulatory, and technical conditions continue to change.<\/p>\n<p class=\"x_MsoNormal\">This perspective will guide a broader conversation at Qlik Connect\u00ae 2026, where Qlik will announce a coordinated set of releases focused on agentic analytics, open and reusable databases, operational trust, and sovereignty-ready implementation. Together, these announcements reflect a practical vision of what enterprise AI demands now: useful under pressure, explainable when questioned, and adaptable as conditions change.<span lang=\"DE\">\u00a0<\/span><\/p>\n<p class=\"x_MsoNormal\"><span lang=\"DE\">\u00a9 2026<\/span><span lang=\"DE\">\u202f<\/span><span lang=\"DE\">QlikTech<\/span><span lang=\"DE\">\u202f<\/span><span lang=\"DE\">International AB.\u00a0<\/span>All rights reserved. All company and\/or product names may be trade names, registered trademarks, and\/or trademarks belonging to their respective owners, with whom they are associated.<\/p>\n<p class=\"x_MsoNormal\"><b><span lang=\"DE\">About Qlik<\/span><\/b><\/p>\n<p class=\"x_MsoNormal\">Qlik helps teams get more out of AI with data they can trust and control. It delivers trusted data products, a powerful analytics engine, and AI agents, supporting risk reduction, keeping operational costs under control, and scaling AI responsibly. Used by 75% Fortune 500 companies, Qlik solutions support customers worldwide. They also work with systems and partners customers already use, so they can remain flexible and vendor-free.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cinco especialistas destacam as mudan\u00e7as que moldar\u00e3o a IA conforme os sistemas se integram cada vez mais aos fluxos de trabalho, os ambientes regulat\u00f3rios divergem e a escolha de modelos continua mudando Principais destaques: &#8211; A confian\u00e7a ser\u00e1 conquistada por meio de evid\u00eancias:\u00a0As empresas precisar\u00e3o de avalia\u00e7\u00e3o, testes e mecanismos de presta\u00e7\u00e3o de contas que [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":103027,"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":[9089,130,9634],"class_list":["post-103026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-conselho-de-ia-da-qlik","tag-governanca-corporativa","tag-parte-mais-dificil-da-ia"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Conselho de IA da Qlik alerta empresas para se prepararem para a parte mais dif\u00edcil da IA - 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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