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.
23 stories
Trustworthy AI depends on data, not just models. Discover our data-first approach to AI infrastructure, governance, and retrieval for enterprises.
Geordie's tests recorded 155 activity traces and multiple subagents after dot was given read-only permissions
As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them.
Financial institutions are adopting artificial intelligence faster than many compliance teams can establish the controls needed to oversee it. That gap is raising new questions about AI-powered compliance and regulatory accountability.
Voice AI is quickly becoming core infrastructure as people swap screens and clicks for conversations with their devices. That shift puts new pressure on the compute, storage and partnerships behind the models doing the listening and talking.
Silicon Valley’s AI partner ecosystem is changing as enterprises push artificial intelligence projects out of pilots and into production. In the region where much of the AI stack is invented, infrastructure providers are learning that selling to builders takes a different playbook.
We see a control gap between what artificial intelligence can do and what the evidence supports trusting it to do. A great demo doesn’t prove that a system will stay within the limits of an intended deployment’s goals.
AI agents can now make decisions, call tools, change systems, and act on their own. When something goes wrong, who is actually responsible?
AI is taking shape, moving from models that answer questions to models that can reason. Now models are powering the agentic era, and Dell Technologies Inc. has announced several extensions to its AI Data Platform designed to manage this new paradigm.
As agentic artificial intelligence moves into production, the harder question is becoming what enterprises will actually trust it to do. Infor Inc. is betting that industry-specific context can help bridge that gap.
From guarding one agent to steering a fleet The post How to Govern AI Agents appeared first on Towards Data Science.
Opening a Model Context Protocol server, or MCP server, to customers’ AI tools is becoming standard for fintech companies, but in payments a rogue agent does not just leak data — it moves money. That raises the bar for how agents are identified, logged and stopped.
As director of HPE Labs, Andrew Wheeler (pictured) is uniquely positioned to observe rapid advancements in artificial intelligence and new developments for the emerging field of quantum computing.
Getting AI into production has become the real test for enterprises. As the proof-of-concept phase ends, harder questions about cost, data and control are taking its place.
Digital workspace company Omnissa LLC today unveiled new artificial intelligence agents for information technology teams and virtual desktop users, a managed cloud PC service and an AI governance product named Omnissa Elara.
AI agents are already talking to each other at scale. The standards bodies are mobilizing. Where is the layer that matters most: the conditions and boundaries envelope?
The enterprise artificial intelligence conversation is moving past models and compute. As companies push projects into production, the harder problem is increasingly what sits underneath them: getting distributed, messy and often sensitive enterprise data ready for systems that need reliable…
NVIDIA has launched the Open Agent Safety Platform, an open reference design that enforces AI agent safety outside the agent itself. OpenShell, an Apache 2.0 runtime, sandboxes agents under YAML policies.
Showing 18 of 23 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts