CIO
NOVEMBER 8, 2024
As organizations look to modernize IT systems, including the mainframe, there’s a critical need to do so without sacrificing security or falling out of compliance. Falling out of compliance could mean risking serious financial and regulatory penalties. Malicious actors have access to more tools and plans of attack than ever before.
CIO
JANUARY 30, 2025
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. In 2025, data management is no longer a backend operation.
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CIO
APRIL 23, 2025
If you use data to train a customer-facing tool that performs poorly, you may hurt customer confidence in your companys capabilities. Using compromised data to produce reports on the company or other public information may even become a government and compliance issue. Using bad data could even cause reputational damage.
CIO
MAY 16, 2025
Enterprise use of artificial intelligence comes with a wide range of risks in areas such as cybersecurity, data privacy, bias and discrimination, ethics, and regulatory compliance. An AI GRC plan allows companies to proactively address compliance instead of reacting to enforcement, Haughian says.
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An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. How Dremio delivers clear business advantages in productivity, security, and performance. What to consider when implementing a "no-copy" data strategy.
CIO
NOVEMBER 26, 2024
Security and compliance concerns Barrier: Modernizing IT systems often involves handling sensitive data and integrating with external platforms, raising security and compliance concerns. Organizations fear that new technologies may introduce vulnerabilities and complicate regulatory compliance.
CIO
APRIL 15, 2025
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. Regulatory and compliance challenges further complicate the issue.
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We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability. AI operations, including compliance, security, and governance. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.
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