The Latest Stories
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Unlock the Meaning Behind Your Data with Vector Search Vector search is a technique that uses numerical representations of data (vector embeddings) to search for data based on its meaning, rather than just exact word matches. This allows for more accurate and relevant search results. |
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Running a Data Pipeline with Apache Beam Golang SDK on Docker This article explains how to run a data pipeline using Apache Beam Golang SDK with Docker. It provides a step-by-step guide on how to install Docker, Golang, and Apache Beam Go SDK, as well as how to run the Wordcount example. |
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Moving out of the Process Twilight Zone Many organizations struggle with inconsistent work management, hurting product development. Leaders must recognize this, invest in improvement, and adopt a coherent model to boost results. |
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Change Isn’t the Problem Project managers need to ensure that sponsors, team members, and stakeholders understand that un-managed change is the real bogeyman. |
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Perils of “Ongoing” Projects Projects should have clearly defined goals, schedule targets, and resource allocations. When projects are described as “ongoing” that is often a red flag suggesting that either this isn’t a project, or it is not being well-managed. |
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The AI Revolution in Software Quality Assurance: A New Era of Quality Engineering and Productivity State-of-the-art AI platforms are transforming SQA. Automation, improved visibility, and streamlined processes are boosting efficiency and effectiveness for QA teams today. As AI evolves, embracing it and developing the necessary skills will be crucial for QA professionals to thrive in the future. |
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Implementing New Standards: Should We Push or Pull? No one likes process for process’s sake. Most of us are naturally resistant to change. Modifying standards or processes is an organizational change task. How do we encourage people to embrace change? |
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Machines and Humans: Finding the Balance in Software Development The rise of AI in software development brings efficiency and innovation, but raises concerns about maintaining a human-centered approach. The key is to find a balance where AI tackles repetitive tasks, freeing up human developers to focus on creativity, empathy, and user-centric design. |
