Remove Analytics Remove Compliance Remove Scalability
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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 146
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What is data architecture? A framework to manage data

CIO

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Ensure data governance and compliance.

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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?

Azure 89
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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. However, overcoming challenges such as workforce readiness, regulatory compliance, and cybersecurity risks will be critical to realizing this vision.

Trends 158
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Why thinking like a tech company is essential for your business’s survival

CIO

We developed clear governance policies that outlined: How we define AI and generative AI in our business Principles for responsible AI use A structured governance process Compliance standards across different regions (because AI regulations vary significantly between Europe and U.S.

Company 186
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Bridging the gap between mainframe data and hybrid cloud environments

CIO

Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots. However, according to the same study, only 28% of businesses are fully tapping into the potential of mainframe data insights despite widespread acknowledgment of the datas value for AI and analytics.

Cloud 147
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Security is dead: Long live risk management

CIO

As regulators demand more tangible evidence of security controls and compliance, organizations must fundamentally transform how they approach risk shifting from reactive gatekeeping to proactive enablement. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.