{"id":86531,"date":"2025-05-14T08:00:59","date_gmt":"2025-05-14T11:00:59","guid":{"rendered":"https:\/\/abes.org.br\/?p=86531"},"modified":"2025-04-28T20:02:34","modified_gmt":"2025-04-28T23:02:34","slug":"gartner-identifica-tres-areas-para-ajudar-lideres-de-data-analytics-a-escalar-o-uso-de-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/gartner-identifica-tres-areas-para-ajudar-lideres-de-data-analytics-a-escalar-o-uso-de-inteligencia-artificial\/","title":{"rendered":"Gartner identifies three areas to help Data & Analytics leaders scale the use of Artificial Intelligence"},"content":{"rendered":"
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Through 2025, poor data quality will persist as one of the most frequently cited challenges impeding the implementation of advanced analytics (e.g., Artificial Intelligence), according to the\u00a0<\/span>Gartner, Inc.<\/a><\/u><\/b>. Therefore, Data & Analytics (D&A) leaders must focus on three interdependent journeys to advance data analytics initiatives.\u00a0AI<\/a><\/u> of companies. These journeys include business outcomes, D&A capabilities, and behavioral changes.<\/p>\n

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\"\"\u201cAI continues to drive the\u00a0business planning<\/a><\/u>l, with\u00a0more than half of the\u00a0<\/a>Chief Executive Officers<\/a><\/i>\u00a0(CEOs)<\/a><\/u>\u00a0believing that technology will have a more significant impact on their industry in the next three years,\u201d he says\u00a0Jorg Heizenberg<\/a><\/u>, Vice President and Analyst at Gartner. \u201cWith this in mind, Data & Analytics leaders are in a unique position to drive maximum impact on business outcomes due to their proximity to this technology.\u201d<\/p>\n<\/div>\n

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\u201cWith Artificial Intelligence being a key focus area in businesses,\u00a0Data & Analytics leaders<\/a><\/u>\u00a0must overcome the\u00a0hype<\/i>\u00a0and focus on investments in trust, adaptability and people\u201d, he adds\u00a0Debra Logan<\/u>, Vice President and Distinguished Analyst at Gartner.<\/p>\n<\/div>\n

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During the opening keynote of the\u00a0Gartner Data & Analytics Conference<\/a><\/u>, Gartner analysts discussed three interdependent trajectories in depth to better guide D&A leaders on their AI journey.<\/p>\n<\/div>\n

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Journey to Business Results<\/b><\/p>\n<\/div>\n

Gartner advises data and analytics leaders to prioritize value in demonstrating business outcomes from AI.<\/p>\n

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\u201cDemonstrating the value of AI remains one of the top barriers to implementation,\u201d says Heizenberg. \u201cData & Analytics leaders must focus on creating the right levels of trust, based on context, as the first step to demonstrating value.\u201d<\/p>\n<\/div>\n

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Data & Analytics leaders can take the following steps to positively impact business outcomes:<\/p>\n<\/div>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Establish trust models<\/b>: Trustworthy, high-quality data is essential to enabling a data-driven enterprise. However, many AI initiatives fail due to poor data quality. Trust models analyze the value and risk of data and provide a trustworthiness score based on lineage and curation.<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Monetize productivity improvements:<\/b>\u00a0Data & Analytics leaders must consider value and competitive impact against total cost, complexity, and risk.<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Communicating the value of D&A:\u00a0<\/b>Consider all costs, including data management, governance, and change management.<\/p>\n

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Journey to D&A Resources<\/b><\/p>\n<\/div>\n

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Data & Analytics leaders must ensure they are using a variety of tools and technologies to build their\u00a0stack<\/i> of technology when it comes to AI solutions.<\/p>\n<\/div>\n

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\u201cThe comparison of stack<\/i>\u00a0versus<\/i>\u00a0the best solution in each category (best of breed<\/i>) is not new, but the dynamics of this decision are,\u201d says Krensky. \u201cData & Analytics leaders must cultivate an adaptable ecosystem that scales to meet the demands of building the best possible AI offerings.\u201d<\/p>\n<\/div>\n

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To achieve this adaptability, Data & Analytics leaders must:<\/p>\n<\/div>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Create a modular and open ecosystem:<\/b>\u00a0Update or replace architectural components to meet new requirements and rapidly changing technologies.<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Make the data\u00a0<\/b>AI-ready<\/a><\/u><\/b>\u00a0and reusable:\u00a0<\/b>Integrate trust across FinOps, DataOps, and PlatformOps to transition from a\u00a0stack<\/i>\u00a0of technology for a\u00a0stack<\/i>\u00a0trustworthy.<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Explore AI agents:<\/b> Leverage dynamic agents that adapt to change using an AI-ready data ecosystem powered by active metadata.<\/p>\n

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Journey to Behavior Change<\/b><\/p>\n<\/div>\n

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Focus on\u00a0data governance<\/a><\/u>, in communicating value and increasing analytics is vital, but addressing the human aspect is crucial to the success of Artificial Intelligence.<\/p>\n<\/div>\n

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\u201cAI is transforming everything, and people are expected to transform themselves as well,\u201d Heizenberg says. \u201cBut people are not all the same, and we engage with data and analytics in different ways.\u201d<\/p>\n<\/div>\n

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To establish the foundation of the right culture to adopt and best utilize Artificial Intelligence, Data & Analytics leaders should follow these steps:<\/p>\n<\/div>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Establish repeatable habits:<\/b>\u00a0Prioritize training and education with an emphasis on data literacy and AI.<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Adopt new roles and skills<\/b>: Develop functions that facilitate adaptation to the change management requirements of Generative Artificial Intelligence (GenAI).<\/p>\n

\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Collaborate with others<\/b>: Work with diverse teams, including security and software engineering, to achieve smooth integration.<\/p>\n

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Data & Analytics leaders can learn more about how to assess their own effectiveness using the\u00a0Gartner CDAO Effectiveness Diagnostic<\/a><\/u>, a unique tool that allows\u00a0Chief Data & Analytics Officers<\/i>\u00a0(CDAOs) understand their effectiveness as leaders and discover their strengths and areas for improvement.<\/p>\n<\/div>\n

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About the Gartner Data & Analytics Conference<\/b><\/p>\n<\/div>\n

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Gartner analysts provided additional analysis on data and analytics trends at the Gartner Data & Analytics Conference, held in\u00a0Sao Paulo<\/a><\/u>\u00a0(Brazil). More insights will be highlighted from May 12-14 at\u00a0London<\/a><\/u>\u00a0(England); from 20 to 22 May in\u00a0Tokyo<\/a><\/u>\u00a0(Japan); on June 2 and 3 in\u00a0Mumbai<\/a><\/u>\u00a0(India) and on June 17 and 18 in\u00a0Sydney<\/a><\/u>\u00a0(Australia). Follow conference news and updates on X using\u00a0#GartnerDA<\/a><\/u>.\u00a0<\/b><\/p>\n<\/div>\n

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\u00a0<\/b>About Gartner for Data & Analytics Leaders<\/b>\u202f<\/b>\u00a0<\/b><\/p>\n<\/div>\n

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The Gartner\u00a0for 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><\/u>. Follow news and updates from Gartner for D&A Leaders on\u00a0X<\/a><\/u>\u00a0and\u00a0LinkedIn<\/a><\/u>\u00a0 using #GartnerDA.<\/p>\n<\/div>\n

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

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O\u00a0Gartner, Inc.<\/a><\/u><\/b>\u00a0provides objective, actionable insights for executives and their teams. Gartner\u2019s guidance and tools enable faster, smarter decisions and stronger performance on enterprises\u2019 mission-critical priorities. To learn more,\u00a0visit\u00a0<\/a><\/i>www.gartner.com<\/u><\/a><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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