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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation.

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Banks bet on AI to deliver digital efficiencies

CIO Business Intelligence

According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use. Interestingly, developing existing talent is the third most cited focus for digital transformation — a sign that leaders recognize the importance of preparing employees to work with gen AI.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

While real-time data is processed by other applications, this setup maintains high-performance analytics without the expense of continuous processing. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT
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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster.

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6 data risks CIOs should be paranoid about

CIO Business Intelligence

To address this gap and ensure the data supply chain receives enough top-level attention, CIOs have hired or partnered with chief data officers, entrusting them to address the data debt , automate data pipelines , and transform to a proactive data governance model focusing on health metrics, data quality , and data model interoperability. [

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Salesforces Agentforce plays a key role in SharkNinjas digital transformation, too, with agentic AI being evaluated across user browsing, product selection, recipe discovery, and customer support. And around 45% also cite data governance and compliance concerns.

IT
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

One thing is clear for leaders aiming to drive trusted AI, resilient operations and informed decisions at scale: transformation starts with data you can trust. As a leader, your commitment to data quality sets the tone for the entire organization, inspiring others to prioritize this crucial aspect of digital transformation.