In this article, I’m going to share my insights about Azure VMware Solution (AVS). Currently, I’m collaborating with a European client who is planning to exit their data center. Their existing setup ...

This is week 2 in a 4-week series on data governance frameworks and how they are structured as well as a comparison of the frameworks. We will be taking a 4-week walkthrough how Data Governance ...

In the rapidly evolving landscape of generative AI, the term “agent” has become somewhat of a buzzword. From the simplest chatbot to complex autonomous systems, it seems like everyone is slapping the ...

When integrating Azure Cosmos DB with microservices, choosing the right connectivity mode is crucial for performance, security, and stability. However, many teams face challenges when configuring ...

The Architecture Review Board (ARB) is a standard practice in many organizations, acting as a group of senior architects and stakeholders who regularly review proposed changes to the IT landscape.

Ginel holds a Ph.D. from Paul Sabatier University in Toulouse, where he specialized in applying AI techniques to mitigate data bias in health decision-making systems. His research spans several key ...

This is week 1 in a 4-week series on the data governance frameworks and how they are structured as well as a comparison of the frameworks. We will be taking a 4 week walk through how Data Governance ...

Remote work thrives on autonomy, making ownership and clear communication essential for success. To build an effective distributed team, embrace transparency, self-motivation, and a shared sense of ...

It’s that time of the year again when talented automation professionals come to Helsinki, Finland, to share and to learn about the latest updates on Robot Framework and its ecosystem. The reason for ...

In everyday life and decision-making processes, the terms “implications” and “consequences” are often used interchangeably. However, they have distinct meanings and understanding the difference ...

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...