Modeling

Resources

Enterprise Graph-RAG: Modeling Financial Risk Networks with Multi-Agent LangGraphJul 14, 2026. Enterprise Graph-RAG models financial risk networks with multi-agent LangGraph for real-time contagion and AML analysis.
Semantic Data Modeling for Enterprise AI ApplicationsJun 17, 2026. Unlock enterprise AI potential with semantic data modeling. Enhance search, integration, and AI accuracy by organizing data by meaning, not just structure.
Power BI Data Modeling Mistakes That Kill PerformanceJan 20, 2026. Optimize Power BI models! Discover common data modeling mistakes that kill performance, from star schema flaws to calculated column overuse. Build faster reports!
World Modeling in AI: What It Is and How It Works End-to-EndDec 30, 2025. Learn what world modeling in AI is and how it works end-to-end, including core architectures, training loops, planning, evaluation, and practical deployment patterns.
Power BI Modeling MCP Server in VS CodeNov 18, 2025. Power BI Modeling MCP Server in VS Code empowers AI agents to access and modify semantic models, enabling automation, collaboration, and enhanced productivity.
Entity Framework Core 9 Fundamentals: Part 6 - Mastering Data Modeling & Relationships GuideOct 15, 2025. Master data modeling and relationships in Entity Framework Core 9! This guide covers data annotations, Fluent API, one-to-many, one-to-one, and many-to-many relationships. Learn to control your database schema, seed data, and handle exceptions for robust and scalable applications. Explore best practices and alternatives like Dapper for optimized performance. Elevate your data architecture skills!
Building Life One Triangle at a Time: Modeling Tetrahedrons for 3D Bioprinting Using PythonOct 14, 2025. Explore tetrahedron modeling in Python for 3D bioprinting. This article details representing tetrahedrons with triangular faces, crucial for creating tissue scaffolds. Learn to implement a Python class for tetrahedron modeling, validate its geometry, and understand its real-world applications in regenerative medicine. Discover how accurate modeling ensures structural integrity in bioprinted constructs, bridging geometry and biomedical engineering.
Point, Line, Safety: How Triangle Modeling Keeps Warehouse Robots from Crashing Using PythonOct 13, 2025. Learn how to model triangles using Python for real-world applications like collision avoidance in warehouse robots. This article covers point-based triangle representation, validation, and spatial queries. Build a robust and intuitive system for dynamic transformations and integration with sensor data. Includes complete code, unit tests, and an interactive demo, showcasing best practices for geometric modeling in robotics and beyond.
Data Modeling Tools and Techniques for Robust ArchitectureOct 13, 2025. This article explores key techniques like conceptual, logical, physical, and dimensional modeling. Learn how to choose the right tools (ER/Studio, Lucidchart, dbt, and more) and best practices to build robust, scalable, and insightful data systems. Improve data quality, enhance communication, and drive data-driven decisions with a solid data architecture.
Artificial Intelligence - First Data Modeling for E-Commerce: From Carts and Catalogs to Intelligent, Trustworthy MarketplacesSep 13, 2025. This article outlines an AI-first blueprint for modern digital retail, moving beyond traditional models to personalize experiences, optimize margins, and ensure privacy. Learn how to build intelligent marketplaces with explainable AI, real-time data, and robust governance for trustworthy automation.
Artificial Intelligence: AI-First Data Modeling for Health Care: From EHR Tables to Learning, Patient-Safe SystemsSep 05, 2025. Transform healthcare data modeling with an AI-first approach! This article outlines a blueprint for building patient-safe systems that leverage facts, features, and AI agents. Learn how to productize data, ensure traceability, and implement AI for early detection, medication safety, and streamlined workflows, all while prioritizing privacy and compliance.
Artificial Intelligence: AI-First Data Modeling for Manufacturing. From BOMs to Intelligent, Self-Optimizing Factories Executive SummarySep 03, 2025. Reimagine manufacturing with an AI-first data model! Transform classic BOMs into intelligent, self-optimizing factories. This article details a blueprint where data fuels AI, driving improvements in yield, OEE, and margin. Learn about lakehouse architecture, digital twins, and LLM integration for governed, explainable AI in manufacturing.
Generative AI: AI-First Data Modeling for Telecommunications. From OSS/BSS Tables to Intelligent, Self-Healing NetworksSep 03, 2025. Transform telecom data models for the AI era! This article outlines an AI-first blueprint, moving beyond traditional OSS/BSS to leverage modern networks (5G, ORAN) for intelligent automation. Discover how to build self-healing networks with governed data loops, proactive assurance, and superior customer experiences.
Generative AI: AI-First Data Modeling for Financial Services: From Reference Models to Intelligent Data ProductsAug 31, 2025. Evolve financial data models for AI! Learn how to transform reference models into governed data products powering real-time analytics, ML, and LLM workflows.
Artificial Intelligence: AI-First Data Modeling for Professional Services: From Projects to Intelligent EngagementsAug 31, 2025. Transform professional services with AI-first data modeling. Drive intelligent engagements, boost win rates, and ensure transparency. Unlock efficiency and client trust.
Vibe Coding for Climate Tech: AI-Driven Environmental Modeling PipelinesAug 13, 2025. Vibe Coding revolutionizes climate action with real-time, multi-agent AI that unites global data, runs parallel simulations, and delivers actionable policy insights—empowering rapid, science-driven decisions for disaster response, sustainability, and planetary resilience.
What are Java Records, and how do they improve data modeling in Java?Aug 08, 2025. This article explores Java Records, a feature introduced in Java 14 and finalized in Java 16—and how they simplify and enhance data modeling. Learn what Records are, how they differ from traditional Java classes, their benefits in immutability, concise syntax, and real-world use cases, with clear examples.
Understanding Data Modeling in Power BI: Relationships, Keys & JoinsJul 14, 2025. Learn how to structure your Power BI data model using relationships, primary/foreign keys, and joins to unlock clean, insightful visualizations.
XGBoost - Most Accurate Modeling Technique for Structured DataJun 09, 2025. Explore gradient boosting and XGBoost in this article, learn how ensemble models work, build prediction models in Python, and optimize performance with parameter tuning and early stopping techniques.
Advanced Data Warehouse Modeling and Querying Using C# and .NET 9May 13, 2025. Use C# 14 and .NET 9 to design, query, and manage data warehouses efficiently. Automate schema creation, support SCD Type 2, integrate with BI tools, and run high-performance queries for real-time analytics.
A Guide to Avoiding Power BI Data Modeling MistakesOct 03, 2023. A Guide to Avoiding Power BI Data Modeling Mistakes.
Modeling And Deployment Of Machine Learning Application Aug 23, 2021. In this article, we’ll learn about the various properties of modeling and deployment of machine learning application. We’ll explore about Hyperparameters, Model Versioning, Model Monitoring, Model Updating, Model Routing and Model Predictions. Moreover, we'll also dive into on-demand predictions and batch predictions.   
Data Modeling In Power BIOct 27, 2020. In this article, you will learn about Data Modeling in Power BI.
Getting Started With Custom Modeling Using Form Recognizer Sample Labelling ToolOct 19, 2020. This article is meant for beginners who would like to know about Azure Form Recognizer Sample Labeling Tool and get their hands dirty with some hands on experience.
Master-Details App In Angular With Cosmos DB Using Embedded Data Modeling May 28, 2019. In this post, we will see how to create a Master-Details application in Angular using ASP.NET Core and Cosmos DB. Instead of using multiple tables like in the traditional RDMS approach, we will use a single collection in Cosmos DB with the help of the embedding data model to store the data. We will create an Employee app which will store employee master data along with employee skill sets as details.
Getting Start With Data Analysis Using SSAS Tabular Modeling In Excel - Part TwoJul 27, 2018. In this article, we are going to see how business users or we can utilize the tabular model for data analysis and visualization in Excel.
Getting Started With Data Analysis Using SSAS Tabular Modeling In Excel - Part OneJul 26, 2018. As we all know that SQL Server analysis service (SSAS) is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools.
Architecture, Design and Modeling Improvements in Visual Studio 2015Nov 26, 2014. This article just attempted to determine the latest released improvements in Modeling , Design and Architecture in Visual Studio 2015.
Business Process Modeling TechniquesApr 03, 2009. In this article, we’re going to illustrate principles and techniques to model business processes and check the underlying design in order to avoid certain anomalies.
Unified Modeling Language (UML): Part IIFeb 27, 2009. This is second part of the series of articles on Unified Modeling Language (UML).
Unified Modeling Language (UML) - Part 1Feb 25, 2009. This article is will tell about UML (Unified Modeling Language), a standard language for designing and documenting a system in an object-oriented manner. It has nine diagrams which can be used in design document to express design of software architecture.
DAX Query View in Power BI Desktop: Why It Matters and How It Elevates Your Data ModelingJan 05, 2026. In this article, I talked about unlocking Power BI's potential with DAX Query View! Explore, debug, and optimize DAX queries directly in Desktop. Elevate data modeling and build reliable reports. I also covered how to evaluate and create a new DAX measures from the DAX query view
🌍 Predicting Natural Disasters Using AI-Driven Climate Modeling: When Machines Learn Oct 28, 2025. AI predicts natural disasters! Learn how machine learning analyzes climate data to forecast floods, wildfires, and cyclones, saving lives and resources.
Automated Threat Modeling: Integrating Security Design into Agile DevelopmentAug 25, 2025. Threat modeling is a structured approach to identifying and mitigating potential security risks in a system. It involves analyzing the architecture, data flows, and components of an application to uncover vulnerabilities and design flaws before they can be exploited. The goal is to proactively address security concerns during the design and development phases.
Designing a Sales Data Mart from Scratch Using SQL and Dimensional ModelingAug 08, 2025. Learn to build a Sales Data Mart from scratch using SQL and Dimensional Modeling. Discover schema design, data population, and powerful queries for insightful business reporting and BI integration.
Toward a Post-Predictive Paradigm in Language Modeling: Integrating GSCP with Neuro-Symbolic and Retrieval-Augmented ArchitecturesJul 28, 2025. This article explores a hybrid AI framework combining GSCP, neuro-symbolic reasoning, and RAG to overcome LLM limitations, enabling deeper understanding, transparency, and reliable reasoning in high-stakes applications.
Best Practices for Power BI Data ModelingSep 24, 2023. In this article, we will learn about best practices for Power BI Data Modeling.
Modeling Equality in C#Apr 07, 2015. Modeling equality is more subtle than it first appears.
ONNX Runtime in .NET: Running AI Models Without Cloud APIsJul 21, 2026. Run AI models locally in .NET with ONNX Runtime. Achieve faster inference, better privacy, and lower costs without cloud APIs.
Local AI in .NET MAUI: Running On-Device Models with ONNX RuntimeJul 20, 2026. Unlock Local AI in .NET MAUI! Run ONNX models on-device for faster, private, offline AI experiences across platforms.
Power Apps component frameworkJul 20, 2026. Power Apps PCF controls: custom, reusable UI components for richer, interactive experiences in model-driven & canvas apps. Enhance Dataverse integration.
Choosing Between Lakehouse and Warehouse in Microsoft Fabric: A Real-World Project WalkthroughJul 16, 2026. Reasons for choosing the lakehouse and warehouse in end to end fabric pipline
Local LLMs with Ollama: Complete Setup and Integration GuideJul 16, 2026. Master local LLMs with Ollama! Setup, run, and integrate AI models like Llama and Mistral for privacy, cost savings, and offline access.
Model Context Protocol (MCP) Explained: The Future of AI Tool IntegrationJul 16, 2026. Unlock AI's potential with Model Context Protocol (MCP)! Standardize tool integration for seamless, scalable, and secure AI applications.
Part 4: The Neural Revolution And GenAIJul 16, 2026. A developer-friendly explanation of perceptrons, neural networks, deep learning, generative AI, large language models, next-token prediction, and diffusion models.
GPT-5.6 Sol vs. Terra vs. Luna: What They Do and How to Choose the Best ModelJul 17, 2026. Learn what GPT-5.6 Sol, Terra, and Luna are, how they compare in capability, speed, pricing, availability, and use cases, and how to choose the right OpenAI model for your workload.
Part3 - The Shift to Machine LearningJul 16, 2026. A practical explanation of how software engineering shifted from hand-written rules to machine learning systems that learn patterns from data.
Model Context Protocol Registries Explained: Managing Enterprise MCP EcosystemsJul 16, 2026. Learn what Model Context Protocol (MCP) Registries are, how they work, and how enterprises use them to manage, secure, and scale AI tool ecosystems.
SurrealDB Tutorial: Combining Relational, Document, and Graph DatabasesJul 16, 2026. Learn how SurrealDB combines relational, document, graph, and real-time database capabilities into a single platform for modern application development.
What is Physical AI? Why the Next AI Revolution Will Move Beyond the ScreenJul 14, 2026. Discover what Physical AI is and how it combines AI, robotics, computer vision, sensors, and Large Language Models to enable intelligent machines that perceive, reason, and act in the real world. Explore key technologies, real-world applications, challenges, and the future of AI-powered robotics beyond screens.
WebAssembly on the Server: Understanding WASI and Modern Runtime ModelsJul 15, 2026. Learn how WebAssembly and WASI enable secure, portable, and efficient server-side applications with modern runtime models for cloud-native and edge computing.
Model Context Protocol (MCP) Explained for .NET DevelopersJul 14, 2026. Understand Model Context Protocol (MCP) for .NET developers. Standardize AI integrations with tools, databases, and APIs for scalable, secure applications.
What Is Model Context Protocol (MCP) Registry? A Complete GuideJul 13, 2026. Discover the MCP Registry: a central hub for AI tools, simplifying discovery, management, and sharing of Model Context Protocol servers for robust AI applications.
MCP Servers in Practice: Building Secure Tool Integrations for AI AgentsJul 13, 2026. Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
Model Context Protocol (MCP) Gateways Explained: Securing Enterprise AI IntegrationsJul 10, 2026. Secure your enterprise AI integrations with MCP Gateways. Learn how this protocol enforces security, governance, and control for AI access to your critical business systems.
How to Build a Local AI Stack Using Ollama, Open WebUI, and DockerJul 10, 2026. Build a local AI stack with Ollama, Open WebUI, & Docker for private, secure, and cost-effective AI model deployment. Control your data and costs.
Building AI-Powered Code Review Systems with GitHub ModelsJul 10, 2026. Enhance code quality & security with AI-powered reviews using GitHub Models. Automate checks, boost productivity, and accelerate delivery.
How to Deploy Open-Source LLMs on Kubernetes Using KServeJul 10, 2026. Deploy open-source LLMs on Kubernetes with KServe for scalable, secure, and efficient AI inference. Master production-ready ML serving.
Orleans Framework Tutorial: Building Distributed Applications in .NETJul 09, 2026. Master .NET distributed apps with Orleans! Learn the Virtual Actor Model for scalable, fault-tolerant, and stateful systems.
SurrealDB Explained: Combining SQL, Graph, and Document DatabasesJul 09, 2026. SurrealDB unifies SQL, graph, and document databases for modern apps. Simplify architecture with a single, multi-model solution.
Understanding Browser AI APIs: Running AI Models Directly in the BrowserJul 07, 2026. Run AI models directly in the browser with Browser AI APIs. Enhance privacy, reduce latency, and lower costs with local AI processing.
Graph Database vs Vector Database: Understanding the Key DifferencesJul 06, 2026. Graph vs. Vector Databases: Understand key differences in data modeling, use cases, and AI integration for optimal application development.
Building AI Agents with Model Context Protocol (MCP): A Beginner’s GuideJul 06, 2026. Learn about Model Context Protocol (MCP), a standardized way for AI agents to connect with tools, databases, and APIs, simplifying development and enhancing capabilities.
Building AI Applications Using Model Context Protocol (MCP) ProxiesJul 03, 2026. Learn how Model Context Protocol (MCP) proxies standardize AI application communication with external tools, enabling scalable and secure integrations.
Graph Databases vs Relational Databases: Choosing the Right ModelJul 03, 2026. Graph vs. Relational Databases: Understand strengths, weaknesses, and use cases to choose the right data model for your application.
Building AI Features in ASP.NET Core Using Small Language Models Instead of Large LLMsJul 02, 2026. Build AI features in ASP.NET Core with Small Language Models (SLMs) for lower costs, faster responses, and better privacy than LLMs.
How to Build a Multi-Model AI Strategy in .NET Using Azure OpenAI, Ollama, and Foundry LocalJun 30, 2026. Build flexible .NET AI apps with Azure OpenAI, Ollama, and Foundry Local. Optimize for performance, privacy, and cost with a multi-model strategy.
Building Self-Hosted AI Development Environments with Foundry LocalJun 26, 2026. Build secure, self-hosted AI dev environments with Foundry Local for .NET apps. Maintain data control, boost productivity, and ensure compliance.
Role of Hilbert Curve in LLMs: What It Is and How It Improves Data Organization and RetrievalJun 24, 2026. Learn what the Hilbert Curve is and how it helps Large Language Models (LLMs) organize, store, retrieve, and process high-dimensional data more efficiently. Explore its role in vector databases, embeddings, retrieval systems, and AI infrastructure.
Crucial Contributions of Indians in Generative AI and LLMsJun 24, 2026. Discover what crucial contributions Indian researchers made to Generative AI and Large Language Models and how their work helped shape modern AI systems, multilingual models, and responsible AI research.
AI-Aware System Design: Preparing Applications for Continuous Model EvolutionJun 24, 2026. Master AI-aware system design for resilient applications. Prepare for continuous model evolution with .NET strategies.
AI-Oriented Application Monitoring: Tracking Model Impact on Business OutcomesJun 24, 2026. Monitor AI applications beyond technical metrics. Track model impact on business outcomes, user experience, and operational efficiency for true AI value.
Building Enterprise AI Feedback Loops for Continuous Model ImprovementJun 23, 2026. Build enterprise AI feedback loops for continuous model improvement using ASP.NET Core. Enhance accuracy, reduce hallucinations, and boost user satisfaction.
AI-Aware Application Architecture: Designing Systems That Adapt to Model ChangesJun 23, 2026. Design AI-aware applications that adapt to evolving models, ensuring reliability, scalability, and business continuity with abstraction and flexibility.
Designing AI-Oriented Domain Models in ASP.NET Core ApplicationsJun 23, 2026. Design AI-oriented domain models in ASP.NET Core for intelligent apps. Integrate AI concepts for better scalability and business alignment.
AI Lifecycle Management: Versioning Models, Prompts, and Knowledge SourcesJun 23, 2026. Master AI Lifecycle Management: Version models, prompts, and knowledge for reliable, transparent, and maintainable enterprise AI systems.
Designing Enterprise AI Capability Maturity ModelsJun 23, 2026. Design enterprise AI capability maturity models to assess, scale, and optimize AI adoption for business excellence.
AI Decision Logging: Tracking Why Models Make Business DecisionsJun 22, 2026. Unlock AI transparency with decision logging. Track why models make business decisions for trust, compliance, and better AI.
Selecting the Right Embedding Model for a New DomainJun 20, 2026. Empirically select the best embedding model for specialized domains using LangGraph. Optimize RAG performance beyond general knowledge.
What Is Mixture-of-Experts (MoE) ArchitectureJun 20, 2026. Learn what Mixture-of-Experts (MoE) architecture is and how it helps large AI models scale efficiently. Explore how MoE works, its benefits, challenges, use cases, and implementation strategies.
AI Application Resilience Patterns: Handling Model Failures in ProductionJun 19, 2026. Build robust AI applications by mastering resilience patterns for model failures, ensuring uptime, reliability, and seamless user experiences.
Small Language Models vs Large Language Models: Enterprise Implementation Trade-OffsJun 17, 2026. Explore SLM vs LLM trade-offs for enterprises: cost, performance, privacy, and implementation strategies for AI success.
Qwen-VLA: The AI Model That Sees, Thinks, and ActsJun 16, 2026. Alibaba's Qwen-VLA is a single AI model that controls robots across tasks and bodies. Here's what makes it different — and why it matters for the future of robotics.
Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMsJun 16, 2026. Build robust multi-model AI apps with Azure OpenAI & open-source LLMs. Optimize cost, performance, and flexibility for .NET developers.
Using Small Language Models (SLMs) in Enterprise .NET ApplicationsJun 16, 2026. Unlock enterprise efficiency with Small Language Models (.NET). Discover SLMs for faster, cost-effective AI solutions, enhanced privacy, and flexible deployment.
AI Model Benchmarking for .NET Developers: Measuring Accuracy, Cost, and LatencyJun 16, 2026. Master AI model benchmarking for .NET developers. Measure accuracy, cost, and latency for optimal production AI solutions.
Building Multi-Model AI Applications with Azure OpenAI and Open-Source LLMsJun 16, 2026. Build smarter AI apps by combining Azure OpenAI & open-source LLMs. Optimize cost, performance, and governance with multi-model architectures.
AI Security Testing: How to Validate Prompts, Models, and Tool CallsJun 15, 2026. Secure your AI systems! Learn to validate prompts, models, and tool calls for LLMs, RAG, and agents in .NET.
AI Model Routing: Selecting the Right LLM for Every RequestJun 15, 2026. Optimize AI costs & performance by routing requests to the right LLM. Discover strategies for efficient model selection.
AI Workload Orchestration: Managing Multiple Models in Production ApplicationsJun 12, 2026. Master AI workload orchestration to manage multiple models in production. Optimize performance, cost, and reliability for enterprise AI applications.
The Rise of AI Middleware: Connecting Applications, Models, and Data SourcesJun 12, 2026. AI middleware connects apps, models, and data for efficient, secure, and scalable enterprise AI integration.
Local-First AI Development: Running Enterprise Models on Windows PCsJun 11, 2026. Explore Local-First AI Development: run enterprise models on Windows PCs for enhanced privacy, reduced costs, and lower latency.
Local AI Inference in .NET: Running Models on Windows Without Cloud APIsJun 10, 2026. Run AI models locally on Windows with .NET. Explore ONNX Runtime, Ollama, and hardware acceleration for private, fast, and cost-effective AI.
Designing AI-Ready Data Models for Enterprise ApplicationsJun 10, 2026. Design AI-ready data models for enterprise .NET apps. Unlock AI potential with rich metadata, semantic relationships, and retrieval-optimized structures.
Local AI Development with Phi Models and .NET: Step-by-Step TutorialJun 09, 2026. Build local AI apps with .NET & Phi models! Learn step-by-step integration for privacy, speed, and cost savings. Unlock AI power locally.
Model Context Protocol (MCP) Security: Preventing Prompt Injection and Tool HijackingJun 08, 2026. Learn how to secure Model Context Protocol (MCP) applications by preventing prompt injection, tool hijacking, unauthorized access, and other AI security threats using proven enterprise security practices.
How to Build Custom MCP Servers in C# for Enterprise AI ApplicationsJun 08, 2026. Learn how to build custom MCP servers in C# for enterprise AI applications. Discover MCP architecture, security best practices, tool development, authentication, and real-world integration patterns.
Structured Outputs in LLM Applications: A Complete C# Developer GuideJun 08, 2026. Learn how to implement structured outputs in C# AI applications. Discover schema validation, strongly typed models, JSON responses, and best practices for building reliable enterprise LLM solutions.
How MCP Apps Are Changing AI Tool Integration WorkflowsJun 08, 2026. Learn how MCP Apps are transforming AI tool integration workflows by providing standardized access to APIs, databases, business systems, and enterprise resources through the Model Context Protocol.
Building AI Agents with Model Context Protocol (MCP) Step by StepJun 05, 2026. Learn how to build AI agents with Model Context Protocol (MCP). Explore MCP architecture, tools, servers, clients, and step-by-step implementation examples.

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