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

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

Indian IT firms are often first in line to implement enterprise AI, but a closer look at delivery reveals constraints rooted ...

Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...

Attorneys at Morgan Lewis discuss issues in e-discovery and information governance as companies adopt innovative data sources ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Vietnam is entering the data age with bold ambitions to turn raw data into a powerful engine for sustainable growth.