For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

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.

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 ...

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

The next era of fintech leadership will likely be defined not by user interface improvements but by data infrastructure.

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

Modular and monolithic blockchains represent two distinct scaling approaches shaping crypto infrastructure in 2026. Data from ...