Data Governance Takes Center Stage in Brazilian AI Projects
MWN-AI** Summary
Data governance is becoming increasingly vital in Brazilian AI projects, as highlighted in the latest report by Information Services Group (ISG). Organizations in Brazil are recognizing the need for robust governance and data quality practices to ensure sustainable returns on AI investments. The report indicates that enterprises are turning to service providers that emphasize data governance, cost control, and improved data literacy.
Brazilian companies are keen to exploit AI's automation potential, but past failures in global AI implementations have underscored the importance of disciplined data practices. As a result, organizations are seeking providers with proven methodologies for data quality management and governance. Key technologies, such as automated data cleaning and Real-time Change Data Capture, are gaining traction to streamline data integration and analysis processes.
Many firms are now leveraging generative AI alongside traditional machine learning methods, fostering a hybrid analytics environment that simplifies user access to data insights via natural-language interfaces. This approach is further supported by investments in data literacy training for internal teams, which enhances the success rate of AI initiatives.
Cost concerns related to cloud services and large language models have become central to vendor selections. Companies prioritize transparency and financial operations (FinOps) to maintain manageable expenses as they scale their AI capabilities.
The report also notes the increasing significance of responsible AI practices and the adoption of the data mesh model in data architecture. Overall, Brazilian enterprises are strategically aligning their governance frameworks with analytics maturity to transition AI from experimental endeavors to valuable business assets. Key players in this landscape include major companies such as Accenture, IBM, and Deloitte, recognized in the report for their leadership in advanced analytics and AI services.
MWN-AI** Analysis
In the evolving landscape of artificial intelligence (AI) adoption in Brazil, effective data governance is emerging as a crucial factor for enterprises looking to extract meaningful business value from their AI initiatives. The latest ISG Provider Lens report highlights how organizations are increasingly recognizing that the success of AI projects hinges on disciplined data practices, including quality assurance, governance frameworks, and cost management strategies.
As Brazilian companies strive to leverage AI for productivity and automation, they are shifting towards engaging with skilled partners who can ensure sustainable outcomes. The emphasis on data governance signifies a maturation of the market, where businesses prefer hybrid solutions that combine generative AI, traditional machine learning, and user-friendly interfaces. This holistic approach not only provides analytical capabilities to various organizational roles but also enhances data literacy among employees, increasing the odds of successful implementation.
Investing in data governance and analytics modernization is critical, as evidenced by the report's findings that organizations prioritize partners with proven methodologies for data quality. Firms focusing on automated data cleaning and real-time data integration are likely to gain a competitive edge in this environment.
However, enterprises must also be wary of the emerging concern regarding the costs associated with cloud services and large language models (LLMs). The desire for predictable expenses and transparent pricing structures is now influencing vendor selections, urging companies to adopt robust financial operations (FinOps) capabilities.
For investors and stakeholders in Brazil's AI market, closely monitoring the growth of successful partnerships, particularly among leading service providers like Accenture, Deloitte, and Capgemini, can provide vital insights into future opportunities. As organizations align their governance and analytics strategies, those laying strong foundations will likely convert their AI investments into consistent performance improvements, making this an opportune time for stakeholders to engage with and invest in the region's burgeoning AI market.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
Organizations prioritize data quality, hybrid solutions as they seek partners for AI deployments that deliver business results, ISG Provider Lens ® report says
Enterprises in Brazil increasingly are engaging with service providers to implement AI solutions with strong governance, cost control and other capabilities, according to a new research report published today by Information Services Group ( ISG ) (Nasdaq: III ), a global AI-centered technology research and advisory firm.
The 2025 ISG Provider Lens ® Advanced Analytics and AI Services report for Brazil finds that Brazilian organizations in multiple industries are attracted to AI by the promise of automation and productivity gains but have grown to recognize the need for outside expertise to ensure deployments deliver sustainable returns on investment. Data governance, data literacy and predictable costs have taken on strategic importance.
“Brazilian enterprises are recognizing that AI value depends on disciplined data practices,” said Kathy Rudy, partner, ISG Data, Analytics and Technology Office. “To realize the full potential of AI, they are now adopting data procedures that have not been top of mind due to competing priorities.”
While companies in Brazil want to deploy AI at scale across many processes, unsuccessful AI experiments around the world have raised awareness about the need for proper data governance to ensure accuracy and business value, ISG says. As a result, organizations are seeking providers with strong methodologies for implementing data quality and governance platforms. They are adopting solutions including automated data quality, which automates data cleaning and validation for training AI models, and Real-time Change Data Capture, which continuously integrates multiple data sources for rapid analysis.
In many Brazilian enterprises, generative AI is being used along with traditional machine learning and structured data queries in user-friendly hybrid systems, ISG says. By layering natural-language interfaces on top of existing tools in solutions such as generative business intelligence (GenBI), companies are making analytics capabilities easily available to more roles throughout the organization.
Companies in Brazil are also investing in data literacy training for their internal data teams to improve the odds of success for advanced analytics and AI initiatives, ISG says. In some cases, enterprises build relationships with providers through these initiatives as they gain an understanding of the provider’s expertise.
Concern about the cost of cloud services and large language models (LLMs) has emerged as a critical factor for Brazilian enterprises selecting providers for AI and analytics deployment, ISG says. Companies place a high priority on transparency and FinOps capabilities to help ensure costs are predictable and manageable.
“Enterprises in Brazil are aligning governance, architecture and analytics maturity to launch AI from experiment to business asset,” said Marcio Tabach, lead author of the report. “Those that establish strong foundations are better positioned to translate AI investments into consistent performance improvements.”
The report also explores other trends affecting advanced analytics and AI adoption in Brazil, including the growing importance of responsible AI practices and the emergence of the data mesh model as the dominant trend in data architecture.
For more insights into the advanced analytics and AI-related challenges faced by enterprises in Brazil, plus ISG’s advice for overcoming them, see the ISG Provider Lens ® Focal Points briefing here .
The 2025 ISG Provider Lens ® Advanced Analytics and AI Services report for Brazil evaluates the capabilities of 49 providers across four quadrants: Data Science and AI Services — Large, Data Science and AI Services — Midsize, Data and Analytics Modernization Services — Large and Data and Analytics Modernization Services — Midsize.
The report names Accenture, AI/R, BRQ, Cadastra, Capgemini, Dataside, Deal, Deloitte, IBM, MadeinWeb, NTT DATA, Quality Digital, Rox Partner, Stefanini and TIVIT as Leaders in two quadrants each. It names A3Data, BlueShift Brazil, Dedalus, Falconi, Objective and Peers as Leaders in one quadrant each.
In addition, BIP, Dadoteca, Minsait and Peers are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in one quadrant each.
Customized versions of the report are available from Dataside , Falconi and Quality Digital .
In the area of customer experience, Capgemini is named the global ISG CX Star Performer for 2025 among advanced analytics and AI services providers. Capgemini earned the highest customer satisfaction scores in ISG's Voice of the Customer survey, part of the ISG Star of Excellence™ program , the premier quality recognition for the technology and business services industry.
The 2025 ISG Provider Lens ® Advanced Analytics and AI Services report for Brazil is available to subscribers or for one-time purchase on this webpage .
About ISG Provider Lens ® Research
The ISG Provider Lens ® Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage .
About ISG
ISG (Nasdaq: III ) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260128180619/en/
Press Contacts:
Laura Hupprich, ISG
+1 203-517-3100
laura.hupprich@isg-one.com
Thábata Mondoni, Mondoni Press for ISG
Mobile: +55 11 98671 5652
thabata@mondonipress.com.br
FAQ**
How is Information Services Group Inc. III assessing the impact of data governance on the success of AI deployments in Brazilian organizations?
What specific methodologies does Information Services Group Inc. III recommend for ensuring data quality and governance in AI solutions?
How is Information Services Group Inc. III addressing concerns about the cost associated with cloud services and large language models for Brazilian enterprises?
What role does Information Services Group Inc. III see for data literacy training in enhancing the effectiveness of advanced analytics and AI initiatives in Brazil?
**MWN-AI FAQ is based on asking OpenAI questions about Information Services Group Inc. (NASDAQ: III).
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