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 »
SUSE expanded its nascent AI platform with a small selections of tools and capabilities, and a partnership with Infosys
SUSE expands AI tools to control workloads, LLM usage Read More »
With the pace of gen AI adoption accelerating across all business sectors and functions, required skills are increasingly in demand — but the people out there able to meet needs are in short supply.
IT leaders: What’s the gameplan as tech badly outpaces talent? Read More »
Cisco, HPE, and other vendors are rolling out enterprise AI packages that bundle GPUs, networking, storage and cooling tech into ready-to-deploy systems.
Packaged offerings promise to make AI infrastructure deployment easier Read More »
Complexity and security are primary concerns but enterprises first have to ensure they have a modern stack.
The numbers are starting to come in, and many companies report that some gen AI investments are starting to pay off — but not all.
Beyond the hype: 4 use cases that show what’s actually working with gen AI Read More »
AI is driving an unprecedented transformation in data centers, with global data center CapEx spending projected to more than double from $430 billion in 2024 to $1.1 trillion by 2029.
Data center spending to top $1 trillion by 2029 as AI transforms infrastructure Read More »
To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren’t a good fit to train large language models.
Knowledge graphs: the missing link in enterprise AI Read More »
Data center power demand is spurred by AI and other high-performance computing needs, researchers say.
Data center growth puts unprecedented pressure on power grids Read More »
With the advent of generative AI, the pace of technological change has greatly accelerated. Is it better to take risks and experiment, or wait for proven use cases before jumping in?
Fast vs. slow: the real impact of AI adoption speed Read More »
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
12 AI predictions for 2025 Read More »
Google’s breakthrough in speed and error correction with its new quantum chip, while not immediately useful for most businesses, accelerates the timeline for quantum-safe security preparation and signals a critical moment for technology leaders to begin strategic planning for the quantum era.
Google claims breakthrough with Willow quantum computing chip but no real-world use yet Read More »
Commercial generative AI platforms like OpenAI and Anthropic get all the attention, but open source alternatives can offer cost benefits, security, and flexibility.
Cost, security, and flexibility: the business case for open source gen AI Read More »
