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.

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

AI has not reduced the need for human judgment in database management: It has exposed how dangerous it is to operate without ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...

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

I stopped using ChatGPT for everything: These AI models beat it at research, coding, and more ...

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

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

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 ...