AI Data Infrastructure: Building a Governed Foundation for Enterprise AI
Trustworthy AI depends on data, not just models. Discover our data-first approach to AI infrastructure, governance, and retrieval for enterprises.
18 stories
Trustworthy AI depends on data, not just models. Discover our data-first approach to AI infrastructure, governance, and retrieval for enterprises.
AI-powered knowledge management systems face a fundamental challenge when businesses need accurate answers rather than plausible ones. Imago Platform Ltd. encountered that problem while developing an application to help customers navigate complicated product warranty policies.
Identify sensitive records across your organization before they reach your AI models, not after.
Data management software company Precisely Software Inc. today introduced the Precisely Platform, a unified system designed to make enterprise data ready for artificial intelligence. Developers also get Precisely AI Studio, a library of ready-made AI agents and apps.
From guarding one agent to steering a fleet The post How to Govern AI Agents appeared first on Towards Data Science.
Artificial intelligence is turning nearly every enterprise workload into a data workload, and data governance is becoming the test of whether companies can trust autonomous systems with the infrastructure underneath. The question is no longer only where data lives, but what is allowed to act on it.
Ask and you shall receive — zero-party data is the fastest way to build a business your customers actually trust.
Intelligent data infrastructure is becoming critical as enterprises move artificial intelligence from curated pilots into production. NetApp Inc. is positioning its Novus architecture for that transition.
Data connectivity and integration firm CData Software Inc. today introduced Connect AI Gateway, a platform designed to control how artificial intelligence agents choose models, use tools and access company data.
The practice of building cybersecurity directly into networks and databases has taken on greater importance in the new era of agentic AI. Trust boundaries are being relocated to the database itself, where access policies can be enforced regardless of the instructions an AI agent has received.
Security operations teams are changing their approach in the world of artificial intelligence, adopting automation to turn signals into outcomes while maintaining the right context and control.
39% of data leaders say demonstrating governance impact is their biggest modernization challenge, and no single operating model dominates: centralized and federated governance each account for 36%, while hybrid governance accounts for 29% (2025 State of Enterprise Data Governance report).
The post 2026 Is the Year of the Customer appeared first on Anomalo.
The post Federated data governance turns data sharing into a win-win appeared first on Anomalo.
The post Autonomous AI data monitoring for a new era of AML strategy appeared first on Anomalo.
The post AI Data Monitoring for Underwriters: From Manual Rules to Autonomous Agents appeared first on Anomalo.
The post Manual to Autonomous: How Agentic Data Monitoring Helps Avoid Costly Reporting Errors appeared first on Anomalo.
The post Manual Data Monitoring is Breaking Customer 360 for Financial Services Institutions and the Agentic Enterprise Will Make It Worse appeared first on Anomalo.
Showing 18 of 18 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts