Organizations are deploying the ever-advancing technology to assist with software programming, create advanced business intelligence, and automate customer support and HR functions.
Agentic AI: 9 promising use cases for business Read More »
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 boost they get when combined with AI gives organizations exponentially more power.
Digital twins combine with AI to help manage complex systems Read More »
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 these attacks more effective — but also puts new tools in the hands of defenders.
AI gives superpowers to BEC attackers Read More »
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 adding to the problem.
Network bloat: AI-driven data movements cause cloud overspend Read More »
Red Hat doubled down on its AI bets with new announcements for generative AI, agentic AI, and AI standards.
Agentic AI, LLMs and standards big focus of Red Hat Summit Read More »
The big edge computing news from Red Hat Summit is the first continuously certified Linux OS for vehicles.
Red Hat releases tool to manage edge devices at scale… and to drive cars Read More »
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 more AI built into the product and associated tools.
Red Hat Enterprise Linux update advances security, containerization and AI Read More »
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 they’re doing it.
Real-world use cases for agentic AI Read More »
The explosive growth of AI infrastructure is forcing data center engineers to rapidly master new technical skills as facilities struggle to find staff.
Engineers rush to master new skills for AI-driven data centers Read More »
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 agentic systems pose?
Agents are here — but can you see what they’re doing? Read More »
The explosive growth of AI applications is reshaping data center, edge and cloud networks.
AI workloads set to transform enterprise networks Read More »
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 key things to keep in mind when creating an AI policy.
10 things you should include in your AI policy Read More »
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 AI initiatives.
What’s a data engineer? An analytics role in high demand Read More »
Red Hat has expanded its AI portfolio with tools designed to simplify the transition from experimentation to production environments.
Red Hat’s AI portfolio evolves to address enterprise deployment challenges Read More »
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 will be key to success.
5 top business use cases for AI agents Read More »
