Intel & Red Hat: Leading the way in Enterprise AI

Cybersecurity

CISO's guide to RAG data security risks and protection strategies
Retrieval-augmented generation enhances AI security, but expands the attack surface. Organizations need to aggressively manage ...
AI attacks lack stealth -- nation-state actors are changing that
Today's AI attacks are still hard to miss and easy to stop, but nation-state threat actors are quietly pioneering low-and-slow ...
Unifying FinOps and SecOps: The case for FinSecOps
The financial and operational aspects of security don't need to be separate disciplines. Is it time to consider a FinSecOps ...

AWS emphasizing database security as AI powers new threats
While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on...
Data contracts gain urgency as AI tests data foundations
Unreliable data can undercut AI efforts before they deliver meaningful returns. Data contracts help clarify accountability and ...
How CDOs can show the business impact of data
CDOs can defend the spend on data programs by tying outcomes to saved time, lower risk, revenue gains and AI projects that reach ...

Salesforce broadens headless offering for agentic AI access
Headless 360 kicks into high gear with MCP servers for Salesforce features, data repositories.
Beyond visibility: Decision intelligence in the supply chain
In this podcast, project44's Jett McCandless says supply chain visibility requires an AI intelligence layer to help managers sift...
Enabling hybrid work feature parity means new enterprise KPIs
The old ways to measure application and system performance are no longer enough. Hybrid work demands a new generation of UX KPIs.

How AI workloads affect enterprise network design
Distributed AI workloads reshape the architectures and strategies that enterprises traditionally relied on to plan network work ...
Why multi-cloud should be your default deployment model
With a single-cloud strategy, organizations risk vendor lock-in, financial exposure and regulatory hurdles. A multi-cloud ...
How distributed computing drives revenue and resilience in cloud
Now is the time to align infrastructure decisions with the speed and expectations of your customers. See how distributed ...

IT Strategy

AI botsitting: Why your productivity gains aren't what they seem
AI promised productivity gains, but workers now spend hours correcting its errors with AI botsitting -- a hidden cost draining ...
AI model incidents highlight security concerns
In this Q&A, Seth Johnson, CTO at Cyara, discusses how enterprises need to sharpen their security policies and infrastructure in ...
Continuous IT learning in the age of AI, cloud and automation
Continuous learning is essential in IT to bridge skill gaps, drive innovation and keep teams resilient against evolving ...

Streamline AI Adoption and Deployment Using Intel Enterprise AI with Red Hat® OpenShift® AI