CDInsights - Cloud Data Insights
Cloud Data Insights aims to answer key questions and offer support regarding cloud migration, data integration, infrastructure, platforms, architecture, artificial intelligence, machine learning, governance, and security. Our team of analysts and contributors keeps a close eye on the market for cloud data solutions, investigates the emerging technologies related to cloud data, examines usage examples in various industries, and engages with professionals to understand how organizations effectively manage their cloud data.
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Articles
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1 week ago |
clouddatainsights.com | Elizabeth Wallace
We all know quality matters. And yet, time after time, organizations deploy software they know isn’t fully tested—sacrificing quality in the name of speed. Sometimes that gamble pays off, but more often, it backfires. According to the 2025 Quality Transformation Report from Tricentis, nearly half of public sector agencies are losing between $1 million and $5 million annually due to software issues, while another 3.2% are losing even more.
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3 weeks ago |
clouddatainsights.com | Elizabeth Wallace
Once considered a fringe component of enterprise infrastructure, edge AI is now moving back into the spotlight. As AI adoption spreads across industries, organizations are reevaluating where and how AI workloads should run. For an increasing number of use cases, the answer is not a centralized cloud environment. It is the edge. See also: From the Cloud to the Edge: Exploring the Local-first Software MovementRecent survey data confirms this shift.
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1 month ago |
clouddatainsights.com | Elizabeth Wallace
As organizations expand their networks, the complexities of managing security across a growing landscape of users, devices, and workloads are becoming more daunting. Attack surfaces are expanding rapidly, and cyber threats are evolving just as quickly. In fact, lateral movement within a network is responsible for over 70% of successful cyberattacks.
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2 months ago |
clouddatainsights.com | Elizabeth Wallace
Data breaches are, unfortunately, commonplace, and the consequences are severe. Companies must secure sensitive data at almost any cost to avoid the long-term repercussions of leaks. We know this. One option, confidential computing, may help companies protect data assets in a new way. Unlike traditional security measures that primarily shield data at rest and in transit, confidential computing safeguards data during processing. This addresses a critical vulnerability in data security frameworks.
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2 months ago |
clouddatainsights.com | Elizabeth Wallace
It’s surprising to no one that most companies use open source software to fuel some part of their tech stack. However, when we say “most,” we mean 95-97% by most estimates. That’s an astonishing statistic in a world where the tech options are truly vast and varied. This makes open source security a critical piece of keeping assets safe.
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