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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.
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…
The boundaries are blurring between software-as-a-service and application design. It’s not just about the consistency in separation of the front end of the back end. For your SaaS platform the best practices for well structured code apply as much…
Blockchain is a technology of decentralized data storage that provides a high-security level and enables data manipulation occurred within the certain rules. This confidence is ensured by the fact that data array is stored at…
The first generation of blockchain applications, mainly Bitcoin derivatives, do not store real (non-cryptocurrency) data in the blockchain itself. Instead, they store hashes (digital fingerprint). These hashes represent digital assets on-chain. This way, the blockchain…
In today’s competitive landscape, businesses need to make decisions quickly; whether it’s a new marketing campaign, a new product enhancement, a new partner portal or an employee productivity app, businesses are competing on speed. What is needed is flexibility. And what better way to do this than…
Modern businesses are rapidly adapting cloud based services like Salesforce, Workday, ServiceNow. There are many companies that completely operate from the cloud, or more precise clouds. The benefits of cloud based platforms are clear. But...
The benefits of SaaS for businesses are quite obvious. With SaaS software you can use everything through a web browser, there is no server room, mainframe, or desktop software to install. This is all seamlessly…
At CloudGeometry, we apply the Scrum framework across all our projects. A Scrum process is distinguished from other agile processes by specific concepts and practices, divided into the three categories of Roles, Artifacts, and Time…
The Lambda Architecture is an approach to building stream processing applications on top of MapReduce and near real-time data processing systems.
Just as smartphones are being built with more and more sensors — for everything like movement, sound, temperature and touch — so the devices around your home will slowly begin to have the same.
Agile requirements are a product owner's best friend. Product owners who don't use agile requirements get caught up with spec'ing out every detail to deliver the right software.
The smartest organizations have discovered a set of best practices to design powerful APIs that leverage existing services, to effectively manage those APIs throughout their lifecycle and to scale their deployment across consumers and devices...
CloudGeometry, CEO
:
"In today's rapidly evolving business landscape, understanding the fundamentals of AI Agents is no longer optional for leaders".
