Faced with a complex regulatory landscape and intense public and investor scrutiny, financial institutions could use an ...
What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Discover the current salary landscape in the UAE as of 2025, examining how the lack of a national minimum wage affects ...
Facing death is a core part of making meaning of one’s life. To struggle through this universal contemplation without a ...
If large-scale datasets of experimental data can be built through this approach, it is expected to enable researchers to gain ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
India’s Viksit Bharat vision depends on a cross-skilled workforce where cloud, AI, and cybersecurity converge to drive secure ...
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