{"id":89542,"date":"2025-07-08T08:00:24","date_gmt":"2025-07-08T11:00:24","guid":{"rendered":"https:\/\/abes.org.br\/?p=89542"},"modified":"2025-06-24T17:08:08","modified_gmt":"2025-06-24T20:08:08","slug":"gartner-anuncia-principais-previsoes-de-data-analytics","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/gartner-anuncia-principais-previsoes-de-data-analytics\/","title":{"rendered":"Gartner Announces Key Data & Analytics Predictions"},"content":{"rendered":"

\u2013 To unlock the full potential of Artificial Intelligence for business, it is necessary to develop executive AI literacy<\/span><\/i><\/p>\n

\u2013 Using synthetic data to train Artificial Intelligence models is an essential strategy to increase privacy and generate data sets<\/i><\/p>\n

\"\"<\/p>\n

O\u00a0Gartner, Inc.<\/b><\/a>. announces the main forecasts of\u00a0Data&Analytics<\/a>\u00a0(D&A) for 2025 and beyond. Among the highlights: half of business decisions will be enhanced or automated by Artificial Intelligence (AI) agents; executive AI literacy will drive higher financial performance; and critical flaws in synthetic data management will put AI governance, model accuracy, and compliance at risk.<\/span><\/p>\n

\u201cAlmost everything today \u2013 from the way we work to the way we make decisions \u2013 is directly or indirectly influenced by AI. But it doesn\u2019t deliver value on its own \u2013 AI needs to be tightly aligned with data,\u00a0analytics<\/i>\u00a0and governance to enable intelligent, adaptive decisions and actions across the enterprise,\u201d he says\u00a0Carlie Idoine<\/a>, Vice President Analyst at Gartner.<\/p>\n

Gartner recommends that companies use the following strategic assumptions to guide their planning over the next 2 to 3 years.<\/p>\n

By 2027, 50% of business decisions will be enhanced or automated by AI agents for decision intelligence<\/b><\/p>\n

Decision intelligence combines\u00a0data,\u00a0analytics<\/i><\/a>\u00a0and Artificial Intelligence to create decision flows that support and automate complex judgments. AI agents enhance this process by handling the complexity, analysis and retrieval of multiple data sources. Gartner recommends that Data & Analytics leaders work with business stakeholders to identify and prioritize decisions that are critical to the company\u2019s success and those that can benefit from a more effective application of AI.\u00a0analytics<\/i>\u00a0and AI.<\/p>\n

\u201cAI agents for decision intelligence are not a panacea, nor are they infallible,\u201d says Idoine. \u201cThey must be used collectively with effective governance and risk management. Human decisions still require adequate knowledge, as well as data and AI literacy.\u201d<\/p>\n

By 2027, companies that emphasize AI literacy to executives will achieve 20% higher financial performance compared to those that do not<\/b><\/p>\n

To unlock the full business potential of AI, executives need to develop AI literacy. They need to be educated on the opportunities, risks, and costs of AI so they can make effective, future-proof decisions about AI investments that accelerate organizational outcomes. Gartner recommends that D&A leaders introduce experiential enrichment programs for executives, such as developing domain-specific prototypes to make AI tangible. This will lead to greater and more appropriate investment in AI capabilities.<\/p>\n

By 2027, 60% of Data & Analytics leaders will face critical flaws in synthetic data management, putting AI governance, model accuracy, and compliance at risk<\/b><\/p>\n

Using synthetic data to train AI models is now a\u00a0essential strategy<\/a>\u00a0to enhance privacy and generate diverse datasets. However, complexities arise from the need to ensure that synthetic data accurately represents real-world scenarios, scales effectively to meet growing data demands, and integrates seamlessly with\u00a0pipelines<\/i>\u00a0and existing data systems.<\/p>\n

\u201cTo manage these risks, organizations need effective metadata management,\u201d says Idoine. \u201cMetadata provides the context, lineage, and governance needed to track, verify, and responsibly manage synthetic data, which is essential to maintaining AI accuracy and meeting compliance standards.\u201d\u00a0<\/b><\/p>\n

By 2028, 30% of the GenAI pilots that advance to full-scale production will be built in-house, rather than deployed using off-the-shelf applications, to reduce cost and increase control<\/b><\/p>\n

The creation of models of\u00a0Generative Artificial Intelligence<\/a>\u00a0(GenAI) in-house offers flexibility, control and long-term value that many off-the-shelf tools can\u2019t match. As in-house capabilities grow, Gartner recommends that companies adopt a clear framework for design decisions\u00a0versus<\/i>\u00a0purchase. It should take into account cost, time to market, available skill sets, integration capabilities, compliance, and risk.<\/p>\n

By 2027, companies that prioritize semantics in AI-ready data will increase the accuracy of their GenAI models by up to 80% and reduce costs by up to 60%<\/b><\/p>\n

Low-quality semantics in GenAI leads to greater hallucinations, more\u00a0tokens<\/i>\u00a0required and higher costs. Companies that rethink data management to focus on active metadata increase model accuracy and efficiency, have more\u00a0AI-ready data<\/a>\u00a0and reduce computing costs. According to Gartner, this enables AI agents to operate more effectively and facilitates smarter, faster decision-making across the enterprise.<\/p>\n

By 2029, 10% of global boards will use AI guidance to challenge executive decisions that are important to their business<\/b><\/p>\n

As AI is incorporated into board strategy, the need for a strong\u00a0data governance<\/a>, regulatory clarity and reputation management will intensify. Gartner recommends that boards define the boundaries of AI involvement in decision-making and establish clear policies on oversight, accountability and regulatory compliance. This will enable them to use AI as a strategic advisor while maintaining trust and control.<\/p>\n

Gartner clients can read more at \u201c<\/span>Predicts 2025: AI-Powered Analytics Will Revolutionize Decision Making<\/span><\/a>" and "<\/span>Predicts 2025: CDAOs Must Embrace Their Role in AI or Risk Credibility Loss<\/span><\/a>\u201d.\u00a0<\/span>Additional information is available in the free Gartner webinar \u201cThe Gartner Top Data & Analytics Predictions for 2025<\/a>\u201d.<\/p>\n

About Gartner for Data & Analytics Leaders\u00a0<\/span><\/b><\/p>\n

O\u00a0Gartner for Data & Analytics Leaders<\/i>\u00a0provides objective and actionable insights for CDAOs and Data & Analytics leaders, helping them accelerate their D&A strategy and operating model to increase business value. Additional information is available at\u00a0https:\/\/www.gartner.com\/en\/data-analytics<\/a>. Follow news and updates from Gartner for Data & Analytics Leaders on\u00a0X<\/a>\u00a0and\u00a0LinkedIn<\/a>\u202f<\/u> using #GartnerDA.<\/p>\n

About Gartner\u00a0\u00a0<\/b><\/p>\n

O\u00a0Gartner, Inc.<\/b><\/a>\u00a0delivers objective, actionable insights that drive smarter decisions and better performance for enterprises\u2019 mission-critical priorities. To learn more, visit\u00a0www.gartner.com<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

– Para desbloquear todo o potencial da Intelig\u00eancia Artificial para os neg\u00f3cios, \u00e9 necess\u00e1rio desenvolver a alfabetiza\u00e7\u00e3o executiva em IA – O uso de dados sint\u00e9ticos para treinar modelos de Intelig\u00eancia Artificial \u00e9 uma estrat\u00e9gia essencial para aumentar a privacidade e gerar conjuntos de dados O\u00a0Gartner, Inc. anuncia as principais previs\u00f5es de\u00a0Data&Analytics\u00a0(D&A) para 2025 e […]<\/p>\n","protected":false},"author":12,"featured_media":89543,"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":[7515,7516,2603],"class_list":["post-89542","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-combinacao-de-dados-analytics-e-inteligencia-artificial","tag-gerenciamento-eficaz-de-metadados","tag-governanca-de-dados"],"acf":[],"yoast_head":"\nGartner anuncia principais previs\u00f5es de Data & Analytics - 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