As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems.
The next wave of cloud transformation will be about strategic dependence, resilience, and architectural honesty.
Marketing hype is calling everything an agent, but mislabeling automations or souped-up chatbots as agents is a governance failure waiting to happen.
Your enterprise may be more locked into a vendor’s AI than you realize, thanks to AI-native features in services you’re already using.
Enterprises that adopt any vendor’s AI package are likely to face higher costs, lock-in, and complexity. Here’s why building your own AI architecture is the smarter move.
After years of resisting multicloud, AWS has unveiled Interconnect and acknowledged what practitioners have long known: Best of breed is better than single-cloud dogma.
The tech is impressive, the trajectory problematic. Betting your agents on one cloud is a strategic mistake.
European organizations are choosing homegrown, country-focused sovereign cloud providers over global giants’ versions as the region doubles down on digital autonomy and AI innovation.
Some state lawmakers are considering limiting VPN access. The far-reaching consequences would cripple business, education, and everyday internet use.
The complex interconnectedness of cloud services means companies may not even realize their vulnerabilities. Don’t let an outage catch you off guard.
Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full business potential.
As the big cloud providers prioritize artificial intelligence, they risk leaving traditional cloud technologies—and cloud customers—in the dust.
For most enterprises, high-end GPUs are not as essential as the providers want you to think. Old GPUs or CPUs often deliver sufficient cloud AI performance at drastically reduced costs.
Tech executives and journalists get caught up in the buzz over expensive deals, but enterprises are still waiting for affordable, reliable solutions to real business problems.
Can Europe balance sovereignty with innovation? A US perspective on sovereign clouds and economic pragmatism.
Effective cloud governance can transform risks into opportunities and drive innovation, but enterprises need top-down commitment.
Although complexity increases with diversity, the advantages of multicloud and hybrid cloud environments far outweigh the challenges.
The recent AWS outage has lessons about contracts, options, and risk management for cloud-dependent businesses.
Sometimes people need to touch the stove, but endangering your revenue pipeline or losing customers is a hard lesson.
Even industry-leading cloud infrastructure cannot protect businesses from expensive, disruptive outages.
This AI-first innovation challenges the big three cloud providers and creates new opportunities for enterprises. Naturally, there are trade-offs.
The motivations, complexities, and steps toward European cloud independence run up against enterprise multicloud strategy.
Specialized cloud solutions continue to drive multicloud adoption as AI requirements and compliance regulations grow.
A high-profile data breach reveals that the interconnectedness of enterprise data means providers and customers must continually evolve their cloud security.
Look past the trends to understand the fundamental business drivers and pitfalls of microservices in generative AI architectures.
A lack of discipline from cloud leadership drives runaway expenses. Finops offers a path forward, but IT leaders must create a culture of cost awareness and accountability.
When career motives take precedence over strategic use of cloud computing, organizations face an increased risk of breaches and failures. Here’s how to fix the problem.
Despite generating more revenue than IaaS and PaaS combined, SaaS rarely takes center stage in cloud conversations, causing enterprises to miss a source of strategic differentiation.
Data from Australia confirms that the high cost of scalability and agility is forcing some enterprises to rethink their cloud strategies.
With a focus on cost-efficiency, flexibility, and specialized use cases, Oracle has transformed from a legacy software giant to a serious contender in the public cloud space.
Rapid AI investments and the complexities of hybrid cloud architecture threaten to undermine enterprise trust in cloud platforms’ security.
Memory limitations have blindsided many cloud users. It’s crucial for enterprises to expand their focus beyond GPUs and for providers to fix memory problems to keep AI performance on track.
Are AI projects a success? The answer depends on who is funding the study. It’s no surprise that enterprises are struggling to align resources with expectations.
Large cloud commitments tempt companies with their promises of deep discounts, but they come with hidden costs that may be a mistake for your business.
Geopolitics and trust continue to shape the future of sovereign cloud adoption across the globe.
Building truly agentic AI in the cloud means designing for robust control, seamless integration, and continuous adaptation to ensure AI operates safely and effectively.
Most organizations are unaware of how vulnerable their cloud systems have become. Gaps in preparation could cause serious problems as generative and agentic AI create new attack points.
IT leaders can’t ignore the shift from just adopting cloud technology to optimizing deployments for better cost control and efficiency.
Frequent IBM Cloud outages reveal systemic weaknesses in its control pane, putting its hybrid cloud strategy and customer trust at risk.
The service disruption in the Azure East US region reveals capacity problems that are happening more often. Enterprises need to rethink their strategies, enforce stricter SLAs, and accept that public clouds are still vulnerable.
How bundled model catalogs, tools, and billing are reshaping developer onboarding and revenue sharing for cloud users.
Recent government sanctions are causing public cloud providers to wonder if they must act as unofficial enforcers. Some businesses are responding by moving to private or sovereign clouds.
Once again, too many standards are vying for dominance in solving a relatively simple problem. The IT industry needs to break this counterproductive pattern.
A new survey reveals that enterprises are purchasing their hardware rather than relying on public cloud providers. Their reasons are not surprising.
AI-driven automation is transforming cloud operations, but when the AI makes a mistake, the consequences can be dire. Human oversight is still vital.
The big providers spend a lot on artificial intelligence, but they are not offering the things enterprises care about most. Here are the important questions to ask.
Big cloud brands are using nonexistent AGI as a marketing gimmick to boost interest in their cloud offerings.
The market is moving beyond the Big Three as enterprises seek more customized options for their industry, location, or workload. Platform selection is becoming a critical strategic decision.
A recent Deloitte study finds that public cloud is not the best TCO option for AI infrastructure.
Enterprises wanting to avoid hyperscalers have typically chosen private clouds, managed service providers, or colocation, but sovereign clouds are a solid alternative.