Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
AI-augmented research can speed up processes such as literature review and data synthesis. Here, Ali Shiri looks at ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Amanpal Dhupar, Head of Retail at Tredence is an experienced retail analytics and AI leader with over a decade of expertise ...
A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...
Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
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