In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.

Why India’s AI future may run through the edge, not the frontier In Part 1 of this series, we argued that India’s MANAV Vision has a gap at its centre.

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

SurrealDB Raises $23M Series A to expand its AI-native multi-model database and accelerate cloud platform adoption.

Managing AI data risks is not just about hallucinations or biased models. It's about volumes of data being exposed through ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

Healthcare generates more data than almost any other industry. Prescriptions, diagnostics, insurance claims, lab results, wearable device metrics, telemedicine consultations — the volume is staggering ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Why has an industry-wide interconnected data structure yet to take shape, and what systemic issues are hindering the banking sector’s data transformation? Vietnam’s banking sector stands at a historic ...