An FTC report raises concerns about AI partnerships among major tech firms. However, the vibrant ecosystem of startups suggests that competition remains robust.
Harnessing the power of AI is essential for modern cloud security because AI is also the latest weapon. Enterprises must mitigate evolving threats while adopting new technologies.
As enterprises struggle to balance AI capabilities against data privacy concerns, federated learning provides the best of both worlds.
Effective financial management requires a comprehensive understanding of the hidden costs of cloud computing. A multicloud strategy makes vigilance even more critical.
Ephemeral environments promise cost savings and increased productivity, but only if enterprises are prepared to manage their complexity and potential pitfalls.
As cloud computing providers hit the innovation wall, enterprises need to adjust their strategies to concentrate on the tricky problems of their own businesses.
An enterprise cloud revolution is coming in 2025, and there will be winners and losers. Here’s your practical blueprint for success.
Companies are reassessing their cloud strategies as they pursue cost-effective solutions and operational efficiency on premises.
The cloud computing giant has finally realized it must deal with complexity, by adopting a six-step framework it calls ‘simplexity.’ It doesn’t scale.
The city’s cynical plan to increase cloud computing taxes during a billion-dollar budget shortfall will drive away the businesses it needs to succeed.
As we focus on the next generation of network communications, we’d be wise to remember what an expensive distraction 5G turned out to be.
Their current success and growth are thanks to AI adoption, but unsustainable costs and viable alternatives may turn enterprises away in the longer term.
Cloud AI providers brag that their generative AI and large language models are open, and enterprises are falling for it.
Growing cloud complexity, undisciplined planning, and a shrinking talent pool lead to more failures than successes. Here’s how to avoid becoming another cautionary tale.
Finops uses cloud units to connect cloud costs with business value. But applying a simple and generic metric to complex and unique business uses leaves me with a lot of questions.
AWS Labs’ Multi-Agent Orchestrator open source project rethinks distributed computing to make it easier to build sophisticated, efficient, and cost-effective AI systems.
Cloud observability practices are complex—just like the cloud deployments they seek to understand. The insights observability offers make it a challenge worth tackling.
Cloud providers waste a lot of their customers’ cloud dollars, but enterprises can take action.
For years, private clouds pushed traditional on-prem hardware. Will the recent move towards specialized private clouds, especially for AI, be a win?
Will the new advances in serverless really address the problems enterprises have, or are they more hype to protect the public cloud providers’ investments?
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