AI is moving fast, but without early guardrails, it’ll cause the same messy debt we faced with cloud and APIs.
Informatica’s Krish Vitaldevara explains data readiness gaps, CLAIRE’s evolution, multi-cloud neutrality, governance for ...
Follow TNM's WhatsApp channel for news updates and story links.Civil rights groups have expressed concern over the Andhra Pradesh government’s unwilli ...
"What makes AI uniquely challenging is its "black box" nature—these systems require unprecedented trust without explainable ...
As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.
Microsoft goes a mile wide and an inch deep; we go an inch wide and a mile deep,” says AvePoint CEO Tianyi Jiang.
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One in four data points feeding your AI can’t be trusted, while companies burn cash training models on garbage.
Mumbai: The Praja Foundation released a Citizens' Manifesto for Maharashtra's municipal elections, which sought various ...
Employees are using AI tools every day — often without IT oversight — and it’s quietly putting sensitive business data at ...
In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...
AI success doesn’t come from picking the newest model, but from having three foundational priorities: trusted AI-ready data, secure identities and platform modernization.