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AI agents are becoming practical tools that autonomously perform tasks, support decision-making, and adapt to business needs. By starting with focused, high-value use cases and ensuring strong data governance and human oversight, organizations can unlock real value while building long-term capability.
A data-centric approach to AI prioritizes improving data quality over tweaking models or code. As AI shifts toward unstructured data like text and images, traditional tools fall short. Data and analytics architects can address these challenges using four key pillars: data preparation and exploratory analysis, feature engineering, data labeling and annotation, and data augmentation. These pillars enable the creation of high-quality, AI-ready datasets, enhanced by modern tools like automation, low-code platforms, and synthetic data generation for scalable, intelligent systems.
Modern software development runs at a faster pace than ever before. As cloud computing divides winners and losers in the data-driven marketplace, converging applications and their data with the infrastructure they run on makes more…
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…
CloudGeometry, CEO
:
"In today's rapidly evolving business landscape, understanding the fundamentals of AI Agents is no longer optional for leaders".
