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Tag: performance

  • Top 20 Azure Cloud Interview Questions and Detailed Answers

    Top 20 Azure Cloud Interview Questions and Detailed Answers 1. Explain Microsoft Azure in your own words. What are its key benefits? Azure is Microsoft’s comprehensive set of cloud services that allows you to build, deploy, and manage applications and services through a global network of Microsoft-managed data centers. Key benefits include scalability, cost-effectiveness, reliability,… Read more

  • Top 20 GCP Cloud Interview Questions and Detailed Answers

    Top 20 GCP Cloud Interview Questions and Detailed Answers 1. Explain Google Cloud Platform (GCP) in your own words. What are its key differentiators compared to AWS and Azure? GCP is Google’s suite of cloud computing services, built on their global infrastructure. Key differentiators include its high-performance global network, strengths in data analytics and machine… Read more

  • C3.ai and Competition

    C3.ai and Competition (2025) In April 2025, C3.ai (AI) operates in the enterprise AI software market, providing a suite of applications and a platform for digital transformation. Their offerings cater to various industries, including manufacturing, financial services, government, utilities, oil and gas, and defense. C3.ai’s Key Areas: Enterprise AI Applications: Over 130 pre-built AI applications… Read more

  • BigBear.ai and Competition

    BigBear.ai and Competition (2025) BigBear.ai (BBAI) is a company operating in the artificial intelligence (AI) space, providing decision intelligence solutions to various sectors, including government and defense, supply chain, and digital identity. As of late April 2025, here’s a look at their competition and overall standing: BigBear.ai’s Focus: Leverages AI and machine learning to analyze… Read more

  • Top 10 Autonomous Workflow Platforms

    Top 10 Autonomous Workflow Platforms (2025) While the term “autonomous workflow platform” is still evolving and often overlaps with “AI-powered workflow automation” or “intelligent automation,” here’s a list of 10 platforms that are leading the way in incorporating AI and autonomous capabilities into their workflow automation offerings in 2025: Lindy AI: This platform focuses on… Read more

  • Generative AI vs. Agentic AI vs. AI

    Generative AI vs. Agentic AI vs. AI (2025) In 2025, understanding the nuances between Generative AI, Agentic AI, and the broader field of AI is crucial. Here’s a breakdown of each: Artificial Intelligence (AI) At its core, Artificial Intelligence (AI) is the overarching field of computer science dedicated to creating machines and software capable of… Read more

  • Agentic AI using Autonomous Platforms (n8n, make, zapier)

    Agentic AI using Autonomous Platforms (e.g., n8n) (2025) In 2025, the convergence of Agentic AI and Autonomous Platforms like n8n is revolutionizing automation. Agentic AI refers to AI systems capable of perceiving their environment, making decisions, and taking actions to achieve specific goals without constant human intervention. When integrated with autonomous platforms, these agents can… Read more

  • Integrating AI in Automation Workflows

    Integrating AI in Automation Workflows (2025) In 2025, integrating Artificial Intelligence (AI) into automation workflows is no longer a futuristic concept but a practical way to enhance efficiency, make more intelligent decisions, and handle complex tasks that traditional rule-based automation struggles with. AI can add layers of understanding, prediction, and adaptation to your automated processes.… Read more

  • Extending n8n with Custom Code

    Extending n8n with Custom Code (2025) n8n’s flexibility extends beyond its pre-built nodes through the ability to incorporate custom code directly within your workflows. This allows you to implement highly specific logic, interact with APIs in unique ways, or perform data transformations that aren’t readily available through existing nodes in 2025. Key Ways to Add… Read more

  • CQRS (Command Query Responsibility Segregation) Design Pattern

    CQRS Design Pattern The CQRS (Command Query Responsibility Segregation) design pattern separates read and write operations for a data store into distinct models. This means that the operations that modify the state of the system (Commands) are handled by one set of models, and the operations that retrieve data (Queries) are handled by a different… Read more