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 ...

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.

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

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

The vulnerability of the “connective tissue” of the AI ecosystem — the Model Context Protocol and other tools that let AI agents communicate — “has created a vast and often unmonitored attack surface” ...

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

What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...

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 ...

At the AI Impact Summit 2026 in New Delhi, industry leaders stress the need for categorizing digital infrastructure as essential to AI applications and advocate for the development of an 'Indianised' ...

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 ...

SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database.