AI pricing is changing, but the real story is bigger than price increases. Enterprise AI is moving from simple per-user subscriptions to metered, workload-based compute costs. That means businesses need to track tokens, tool calls, search, document processing, model usage, agent activity, and cost per business outcome. The companies that win with AI will not simply buy the most AI subscriptions. They will build disciplined systems with logging, model routing, caching, security, workflow integration, and measurable ROI. Read the full article: What Recent AI Pricing Changes Mean for Enterprise Customers. aindotnet.com/2026/05/what-r… #AI #ArtificialIntelligence #EnterpriseAI #AIPricing #AIROI #AIGovernance #AICostManagement #AIAdoption #AITransformation #GenerativeAI #BusinessAI #AIForBusiness #MicrosoftAI #MicrosoftCopilot #OpenAI #ClaudeAI #AWSBedrock #AzureAI #DotNet #SemanticKernel #MLNET #DigitalTransformation #EnterpriseTechnology #ITLeadership #CIO #CTO #TechStrategy #CloudComputing #AIArchitecture #AInDotNet

ML.NET is sometimes dismissed as obsolete — and that assumption is wrong. In this short video, I explain why ML.NET is still a powerful and relevant tool for enterprise AI. It excels at deterministic, predictive workloads like forecasting, risk scoring, and structured data classification — without requiring Python, cloud dependency, or large infrastructure investments. ML.NET runs on-premises, offline, and directly inside existing dot net applications. That makes it especially valuable in regulated industries, environments with strict data residency requirements, and scenarios where predictability matters more than experimentation. Not every AI problem needs a large language model. Sometimes accuracy, speed, and control matter most — and ML.NET delivers exactly that. This video demonstrates practical use of AI and .NET tools, including avatar-based delivery and AI-generated voice narration. #MLNET #DotNet #EnterpriseAI #AppliedAI #AIArchitecture #PredictiveAnalytics #MicrosoftAI #BusinessAI #ResponsibleAI

ASPNET Core is C# Blazor is C# Entity Framework Core is C# Azure App Services are C# Azure Functions are C# Azure DevOps pipelines are C# Service Fabric is C# Orleans (virtual actor framework) is C# MLNET is C# Unity game engine scripting is C# PowerShell core is C# Roslyn compiler platform is C# Visual Studio core components are C# Dynamics 365 backend is C# Xbox platform services are C# Stack Overflow backend is C# Bing services are C# LinkedIn backend services are C# Office 365 services are C# Modern enterprise cloud apps run on C#

Дякую. То я вже виправив, бо рукожопський датасет плив та все вижрало. Але найбуде в закладках, коли розчаруюсь в MLNET та полізу куди треба було лізти одразу.

Coding is easy, you can just use... GitHub Copilot, Replit, Claude Code, Gemini CLI, Cursor, Windsurf, v0 by Vercel, Shaper, Bolt, Qodo, Mutable AI, Tabnine, Codex CLI, Devin AI, Cody, Phind, Aider, Pieces, OpenAI O3 Pro, Gemini Diffusion, Google AI Studio, Claude Artifacts, Devlo, Paradime, PearAI, Boxy, KaneAI, AlphaCode, Mistral AI, PolyCoder, CodeWhisperer, Kite, Codota, CodeT5, CodeGuru, DeepCode, Sourcery, SonarQube, Warp, Robbie, CodeI, Marvin, Unblocked, ThatOneThing, Taiga, Starchat Playground, AutoGPT (dev mode), CodingGenie, MLNET, Eclipse Theia, Reflection AI, Poolside, Jules, OpenRouter, Theia Coder, TestGPT, AlphaCodium, CoverAgent, PR-Agent, Codiumate, Devra, Amplication, Infosys XtractEdge, Hugging Face Transformers, TensorFlow, PyTorch, Keras, OpenAI Gym, Google Cloud AI Code Generator, Microsoft Azure AI Code Assist, IBM Watson Code Assistant, DataRobot, BigML, DeepInfra, MindsDB, Banana, Baseten, Modal Labs, Runpod, Replicate, Dstack, FastAPI Copilot, Dify, CrewAI, LangGraph, Superagent, AutoGen, LlamaIndex, LangChain, Chainlit, Trieve, Flowise, Dust, EmbedChain, Giskard, Colab Copilot, CodeRabbit, Safurai, Refact, Sourcegraph Cody, Bloop, StackSpot, Continue, Codiga, GitFluence, Swimm, Mintlify, Jam dev, TypoFix, TestSigma AI, Botpress (dev agent mode), OpenDevin.

🤖 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 & 𝐌𝐋 𝐚𝐩𝐩𝐬 𝐢𝐧 𝐂#, 𝐣𝐮𝐬𝐭 𝐥𝐢𝐤𝐞 𝐏𝐲𝐭𝐡𝐨𝐧. Explore how 𝐌𝐋.𝐍𝐄𝐓 and other tools bring 𝐀𝐈 𝐭𝐨 𝐭𝐡𝐞 .𝐍𝐄𝐓 world. 🔗 c-sharpcorner.com/article/ca… #CSharp #AI #MachineLearning #MLNET #DotNet #PythonVsCSharp #ArtificialIntelligence #TechTrends #Developers #CodeSmart

🤖 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 & 𝐌𝐋 𝐚𝐩𝐩𝐬 𝐢𝐧 𝐂#, 𝐣𝐮𝐬𝐭 𝐥𝐢𝐤𝐞 𝐏𝐲𝐭𝐡𝐨𝐧. Explore how 𝐌𝐋.𝐍𝐄𝐓 and other tools bring 𝐀𝐈 𝐭𝐨 𝐭𝐡𝐞 .𝐍𝐄𝐓 world. 🔗 c-sharpcorner.com/article/ca… #CSharp #AI #MachineLearning #MLNET #DotNet #PythonVsCSharp #ArtificialIntelligence #TechTrends #Developers #CodeSmart

🤖 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 & 𝐌𝐋 𝐚𝐩𝐩𝐬 𝐢𝐧 𝐂#, 𝐣𝐮𝐬𝐭 𝐥𝐢𝐤𝐞 𝐏𝐲𝐭𝐡𝐨𝐧. Explore how 𝐌𝐋.𝐍𝐄𝐓 and other tools bring 𝐀𝐈 𝐭𝐨 𝐭𝐡𝐞 .𝐍𝐄𝐓 world. 🔗 c-sharpcorner.com/article/ca… #CSharp #AI #MachineLearning #MLNET #DotNet #PythonVsCSharp #ArtificialIntelligence #TechTrends #Developers #CodeSmart

🤖 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 & 𝐌𝐋 𝐚𝐩𝐩𝐬 𝐢𝐧 𝐂#, 𝐣𝐮𝐬𝐭 𝐥𝐢𝐤𝐞 𝐏𝐲𝐭𝐡𝐨𝐧. Explore how 𝐌𝐋.𝐍𝐄𝐓 and other tools bring 𝐀𝐈 𝐭𝐨 𝐭𝐡𝐞 .𝐍𝐄𝐓 world. 🔗 c-sharpcorner.com/article/ca… #CSharp #AI #MachineLearning #MLNET #DotNet #PythonVsCSharp #ArtificialIntelligence #TechTrends #Developers #CodeSmart

الإختصارات MLNET = Markup Language in NET CST = Customized Styling Templates DRL = Dynamic Rapid Language RustScript لغة بتسويها لينكس فاونديشن قبل ماتستحوذ عليها IBM "خيالي واسع جداً"🔆

الله يزعجهم ويقلقهم بس . ناس فاضين ولاشغل ولامشغلة ، أتمنى Tim berners lee يسوي نسخة جديدة من الWeb بناء على الحالة النفسية والإجتماعية للشخص نفسه وإذا طلع مؤهل يدخل. لغات الفرونت اند بالويب الجديد الوهمي : MLNET CST RustScript الباك اند : DRL

💡 Choosing the right AI development strategy can make or break your project. Should you go low-code for speed, pro-code for balance, or custom for control? Our latest article breaks down all three approaches—what they cost, what they enable, and when to use them (especially for .NET and Microsoft teams). 🎯 Ideal for developers, architects, and IT leaders making high-stakes AI decisions. 👉 Read the full breakdown: aindotnet.com/2025/06/compar… #AIDevelopment #MicrosoftAI #AInDotNet #MLNET #SemanticKernel #PowerPlatform #LowCodeAI #CustomAI #ProCodeAI #AITechStack #AzureAI #AIForDevelopers #TechStrategy

bật mode đu sống còn, cà em t là t chửi chếc mẹ mlnet ☺️ đm đừng để nhân cách hồi đu yohan pdx của t sống lại ^^

💡 You don’t need a new stack—or new people. AI isn't about replacing your developers. It’s about unlocking the value they already deliver. This infographic shows how the core competencies of .NET teams—secure systems, scalable APIs, compliance-aware architecture—align perfectly with what enterprise AI actually requires. ✅ Perfect for executives, PMs, and dev leads evaluating AI readiness 🧠 Based on the whitepaper AI Done Right in .NET Environments 📥 Download the infographic: 🔗 aindotnet.com/infographics/w… #MicrosoftAI #DotNet #AILeadership #MLNET #SemanticKernel #AzureAI #EnterpriseAI #ResponsibleAI #AITransformation #InternalTeamStrength #AIDoneRight

🤖 AI is not just chatbots. If your Microsoft stack only uses Copilot, you're missing out on 90% of AI's potential. Here are 7 powerful, overlooked AI use cases—from predictive maintenance to document intelligence. 👉 cstu.io/2475c5 #MicrosoftAI #AIUseCases #EnterpriseAI #MLNET #PowerPlatform #AzureAI #AInDotNet

🧼 Data Cleaning 101 for AI Projects – Especially for .NET Teams No matter how good your AI model is—dirty data will wreck it. This guide breaks down: What “dirty data” really looks like Practical tools for .NET devs, DBAs, and analysts Why cleaning ≠ manipulating Power Query, SQL ETL, ML.NET, and console apps 📊 Before you optimize your model… optimize your inputs. 👉 Read the guide cstu.io/664178 #AIDataPrep #DataCleaning #MLNET #AzureAI #PowerQuery #SQLServerETL #DotNet #DataQuality #AIProjectManagement #DataForAI #CleanData #AInDotNet

🧠 Microsoft Copilot: Learn AI by Using It—Then Build Your Own Copilot isn’t just a product—it’s a pattern. You use it in Word, Excel, Teams... but have you ever thought about building your own Copilot inside your .NET apps? This guide shows you how to: ✅ Learn AI through Microsoft Copilot 🛠 Understand how Copilot Studio works ⚙️ Build your own AI assistants in .NET using ML.NET, Azure AI, Semantic Kernel, or OpenAI API SDK Don’t just consume AI. Create with it. 👉 Read now cstu.io/5e7d89 #MicrosoftCopilot #DotNet #MLNET #AzureAI #AIBuilder #SemanticKernel #CopilotStudio #AIAssistants #LowCodeAI #BuildWithAI #EnterpriseAI #AInDotNet

Coding Grounds: Image classification using ML.NET Machine Learning toreaurstad.blogspot.com/202… #mlnet #dotnet #csharp #ai #azureai #machinelearning #imageclassification #blazorserver

🤖 Master Machine Learning with ML .NET! 🤖 📌 Start learning now: lnkd.in/gdxyP7xM #MachineLearning #MLNET #DotNet #AI #DataScience #Pluralsight #LinkedInLearning #SkillBakery #OnlineLearning #SaturdaySkills #SkillUpSaturday #SaturdayMotivation

Some experimenting with #Blazor and #MLNET Blazor tokenization visualizer. All the libraries are there, you just need to wire up some basic UI elements to make it interesting. Working on some demos for an upcoming #dometrain course on #AI with #dotnet