Most AI failures in companies aren’t because the model is dumb. They happen because the company’s knowledge is messy, scattered, and outdated. If your data is chaos, your AI will confidently give you wrong answers. The fix is not a better model. It’s a structured, governed knowledge base that AI can actually understand and trust.
Claude Code and similar AI coding tools genuinely make engineers faster, but speed alone doesn't guarantee better outcomes. The real variable is whether your system can absorb an increased rate of change. The same underlying problem shows up differently depending on who you are: technical leaders see loss of system coherence, business leaders see loss of delivery predictability. Most teams try to fix this with more tooling, better prompts, or better models, when what's actually missing is a governance layer that controls how changes enter the system.
We’re excited to announce that CloudGeometry has been recognized by the AWS Partner Network (APN) as a Certified Advanced Consulting partner! Achieving Advanced status required that we meet strict requirements that demonstrate our proven AWS expertise, technical proficiency, and effectiveness…
We’re excited to add new new expert consultancy offerings focused on helping data-driven companies unleash the velocity and power of modern data-centric systems at scale. Our goal for this practice is to make life easier…
Agile methodologies are now recognized as a structured way to work through ambiguous and complex software problems with evolving solution requirements. Practices such as sprints, backlogs, timeboxing, scrum, can be applied in a variety of…
The recent news from Wall Street about the merger of two of the original “big data” companies, Cloudera and Hortonworks (now called “Cloudera”) made a lot of noise across the Big Tech Finance marketplace, certainly here in Silicon Valley. But…
The good news about modern virtualization technologies like KVM (Kernel-based Virtual Machine) and containers (e.g., LXC) is that you get almost limitless options for spinup and teardown of clusters, machines, networks and so on. That’s also the bad…
Note: This is part two of a two-part series on Amazon EKS. ICYMI, here's a comprehensive intro overview get you up top speed on EKS: “Ten things to know about Kubernetes on AWS”.) By this…
Note: This is part one of a two-part series on Amazon EKS; to see a more in-depth review and recommendations, see Part II: “Figuring out if Kubernetes on AWS (EKS) is right for you”
This is true: big data is cheaper and faster, but harder; data scientists have the skills, and are in great demand. True, but only partially. Yes, data scientists make a huge difference, but if only they have the…
A new tool is available for those who would benefit from automated penetration testing and who don’t have the internal know-how or resources to deal with the problem of security testing for their web or…
What comes after Big Data? Bigger data. Demands on data scientists are growing even faster. They need to the resources and tools to make ever more effective use of their time. Expanding Data Engineering holds…
By this time the swarm of emails related to GDPR (General Data Protection Regulation) has slowed down since it first went into effect on 25 May 2018. From this date, non-compliance with the regulation may…
GDPR - it’s a new buzzword we keep hearing nowadays. While it was initially addressed towards big players like Facebook, Google and LinkedIn - it also affects small businesses. If you’ve had the chance to…
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