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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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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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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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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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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. Several industries in the Middle East are set to experience significant digital transformation in the coming years.

Trends 158
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Build a strong data foundation for AI-driven business growth

CIO

Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. If the data quality is poor, the generated outcomes will be useless.

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

CIO

A great example of this is the semiconductor industry. But were still in the early days of figuring out what it really means for our industry. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth.

Company 186