For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.
Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...
A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
We’re proud to launch Ellie Solo, a new individual version of Ellie built specifically for individual data professionals, freelancers, and small teams. HELSINKI, UUSIMAA, FINLAND, January 5, 2026 ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
Retailers today face unprecedented volatility: supply chain disruptions, fast changing demand signals, rising costs and ...
Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
2dOpinion
Beyond Blueprints: Why Financial Services AI Governance Needs Both Architecture and Topology
To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...
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