Keeping humans in the AI loop
The standard advice for guaranteeing AI safety and accuracy is ensuring human oversight. But even humans have their limits, especially as companies scale up AI…
Inside the Media Mind of Maria Korolov, Foundry
On this episode of Inside the Media Minds, Maria Korolov talks about what it’s been like to cover “the biggest news story of the time,”…
What CIOs need to know about measuring AI value
Even though many companies report positive ROI from gen AI, IT leaders don’t always know how to actually measure it, and the vast majority of…
How cybersecurity leaders are securing AI infrastructures
AI models, agentic frameworks, data pipelines, and all the tools, services, and open-source libraries that make AI possible are evolving quickly and cybersecurity leaders must…
AI will drive more workforce expansion for tech pros than reduction, Linux Foundation reports
The big takeaway from this year’s Linux Foundation tech talent report is that despite fears of layoffs, jobs are being created, with particular growth in…
I vibe-coded a dog birthday app. We still need developers.
Can a non-developer use vibe coding to build and deploy a full-stack app? And can that app actually do anything useful?
MCP is fueling agentic AI — and introducing new security risks
Model Context Protocol (MCP) allows AI agents and chatbots to connect to data sources, tools, and other services, but they pose significant risks for enterprises…
How cybersecurity leaders can defend against the spur of AI-driven NHI
Non-human identities were already a challenge for security teams before AI agents came into the picture. Now, companies that haven’t come to grips with this…
Top 9 generative AI use cases for business
Advanced chatbots, digital assistants, and coding helpers seem to be some of the sweet spots for gen AI use so far in business.
7 ways synthetic data creates business value
Synthetic data has long been used to create larger training sets for AI while preserving privacy and protecting sensitive information. But its use has historically…
Agentic AI: 9 promising use cases for business
Organizations are deploying the ever-advancing technology to assist with software programming, create advanced business intelligence, and automate customer support and HR functions.
Digital twins combine with AI to help manage complex systems
Digital twins have historically been used to better understand the workings of computer chips, factory floors, or complex machines like jet engines. But the turbo…
AI gives superpowers to BEC attackers
Attackers use business email compromise to pretend to be company executives, vendors, or other trusted parties and trick employees into sending them money. AI makes…
Network bloat: AI-driven data movements cause cloud overspend
A significant percentage of enterprise cloud network spending is wasted, due to preventable mistakes and manual processes, and the recent spike in AI deployments is…
Agentic AI, LLMs and standards big focus of Red Hat Summit
Red Hat doubled down on its AI bets with new announcements for generative AI, agentic AI, and AI standards.
Red Hat releases tool to manage edge devices at scale… and to drive cars
The big edge computing news from Red Hat Summit is the first continuously certified Linux OS for vehicles.
Red Hat Enterprise Linux update advances security, containerization and AI
Red Hat announced a slew of improvements to RHEL 10 at its Red Hat Summit in Boston, including quantum security features, better containerization, and even…
Real-world use cases for agentic AI
While genAI chatbots are mostly deployed as assistants or copilots, agentic AI allows companies to automate entire business processes and fundamentally transform operations. Here’s how…
Engineers rush to master new skills for AI-driven data centers
The explosive growth of AI infrastructure is forcing data center engineers to rapidly master new technical skills as facilities struggle to find staff.
Agents are here — but can you see what they’re doing?
Agentic AI is poised to transform business processes at a scale and pace never seen before. But are enterprises prepared to deal with the risks…
AI workloads set to transform enterprise networks
The explosive growth of AI applications is reshaping data center, edge and cloud networks.
10 things you should include in your AI policy
From understanding what AI means in the context of the organization to being compliant and not forgetting the role third parties play, here are ten…
What’s a data engineer? An analytics role in high demand
Data engineers work for enterprises in various industries to help them manage and store the data they need to operate, and, increasingly, to support their…
Red Hat’s AI portfolio evolves to address enterprise deployment challenges
Red Hat has expanded its AI portfolio with tools designed to simplify the transition from experimentation to production environments.
5 top business use cases for AI agents
AI agents are poised to transform the enterprise landscape, from automating mundane tasks to driving customer service and innovation. But having strong guardrails in place…
SUSE expands AI tools to control workloads, LLM usage
SUSE expanded its nascent AI platform with a small selections of tools and capabilities, and a partnership with Infosys
IT leaders: What’s the gameplan as tech badly outpaces talent?
With the pace of gen AI adoption accelerating across all business sectors and functions, required skills are increasingly in demand — but the people out…
Packaged offerings promise to make AI infrastructure deployment easier
Cisco, HPE, and other vendors are rolling out enterprise AI packages that bundle GPUs, networking, storage and cooling tech into ready-to-deploy systems.
What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure
Complexity and security are primary concerns but enterprises first have to ensure they have a modern stack.
Beyond the hype: 4 use cases that show what’s actually working with gen AI
The numbers are starting to come in, and many companies report that some gen AI investments are starting to pay off — but not all.