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The Symbiotic Relationship Between Data Governance and AI

David Menninger's Analyst Perspectives

The primary benefits of data governance are improved data quality, accuracy of reporting and business intelligence, operational efficiency and enhanced regulatory compliance. GenAI models also learn from historical data, which may contain biases. One reason for this is a relative paucity of functionality.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

By leveraging large language models and platforms like Azure Open AI, for example, organisations can transform outdated code into modern, customised frameworks that support advanced features. Indeed, more than 80% of organisations agree that scaling GenAI solutions for business growth is a crucial consideration in modernisation strategies. [2]

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Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools

AWS Big Data

Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We have embarked on a journey to unify the broad range of AWS data processing, analytics, and AI capabilities, starting with the announcement of Amazon SageMaker Unified Studio at re:Invent 2024.

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5 top business use cases for AI agents

CIO Business Intelligence

Throughout late 2024, Microsoft continued to expand its agentic offerings with purpose-built agents for specific use cases. In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprise systems by 2030. And thats just the beginning.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. Focusing on classifying data and improving data quality is the offense strategy, as it can lead to improving AI model accuracy and delivering business results.

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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

AI deployment will also allow for enhanced productivity and increased span of control by automating and scheduling tasks, reporting and performance monitoring for the remaining workforce which allows remaining managers to focus on more strategic, scalable and value-added activities.”