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Thanks to AI, the data reckoning has arrived

CIO

From government security classifications to confidential HR information, data shouldnt be accessible to everyone. Using compromised data to produce reports on the company or other public information may even become a government and compliance issue. And if data gets misclassified, you risk exposing personal information.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

It has become a strategic cornerstone for shaping innovation, efficiency and compliance. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns. In 2025, data management is no longer a backend operation.

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Operational resilience delivered: BMC Helix helps financial institutions meet compliance

CIO

DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties. Failures in one institution can cascade globally, underscoring the importance of strong information and communication technology (ICT) risk management.

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Overcoming the 6 barriers to IT modernization

CIO

For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. Organizations fear that new technologies may introduce vulnerabilities and complicate regulatory compliance.

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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. However, the analytics/reporting function needs to drive the organization of the reports and self-service analytics.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning - AI

In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. It adheres to enterprise-grade security and compliance standards, enabling you to deploy AI solutions with confidence.

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