Author: Marcin Borecki

Summary: This article explores how to build sophisticated decision support systems using .NET and AI technologies. We’ll examine how to combine multiple AI models, data sources, and business rules to create systems that can analyze complex scenarios and provide actionable recommendations. The article covers architecture patterns, integration strategies, and best practices for developing enterprise-grade decision […]

Summary: Learn how to integrate advanced analytics capabilities powered by AI into your .NET applications. This article explores techniques for implementing predictive analytics, anomaly detection, time-series forecasting, and data visualization using .NET libraries, ML.NET, and Azure AI services, enabling developers to build sophisticated data-driven features that provide actionable insights. Introduction In today’s data-driven world, the […]

Summary: Look ahead at the evolving landscape of AI integration within the .NET ecosystem. This article discusses anticipated features in .NET 9 related to AI, potential future directions for frameworks like Semantic Kernel and ML.NET, and the broader trends shaping how .NET developers will build intelligent applications in the coming years. Introduction The integration of […]

Summary: Explore how to integrate AI capabilities directly into Blazor applications to create intelligent, adaptive, and responsive user interfaces. Learn how to leverage AI for features like natural language understanding, personalized content, predictive input, and automated UI adjustments, enhancing the overall user experience. Introduction Modern user interfaces (UIs) are evolving beyond static layouts and predefined […]

Summary: This article explores how to build AI-powered knowledge management systems using .NET technologies. Learn how to implement intelligent document indexing, semantic search, automated knowledge extraction, and personalized knowledge delivery to transform how organizations capture, organize, and share information. Introduction Knowledge management is a critical function for organizations of all sizes, enabling them to capture, […]

Summary: This article explores how to leverage AI to enhance testing and quality assurance processes in .NET applications. Learn how to implement AI-powered test generation, automated UI testing, intelligent test prioritization, and predictive bug detection to improve software quality while reducing manual testing effort. Introduction Software testing and quality assurance are critical aspects of the […]

Summary: This article explores how to build AI-powered document processing systems using .NET and Azure AI Document Intelligence. Learn how to extract structured data from various document types, implement intelligent document classification, and create end-to-end document processing workflows that integrate with your existing .NET applications. Introduction Document processing is a critical function for many organizations, […]

Summary: This article explores how to implement AI-powered personalization in .NET applications to deliver tailored user experiences. Learn how to leverage machine learning models, user behavior tracking, and recommendation systems to create dynamic, personalized content and features that adapt to individual user preferences and needs. Introduction In today’s digital landscape, users expect experiences tailored to […]

Summary: This article explores how to integrate AI capabilities into DevOps workflows using .NET and Azure. Learn how to leverage AI to enhance continuous integration, deployment, testing, and monitoring processes to create more efficient and intelligent software delivery pipelines. Introduction DevOps practices have revolutionized how software is built, tested, and deployed, enabling teams to deliver […]