⚡ Contextual data transforms numbers into insight that drives better decisions. visionedgemarketing.com/cont… #DataContext #Insights #Strategy

🧩 Data without context often leads to the wrong conclusions. Context brings models to life. visionedgemarketing.com/cont… #DataContext #Insights #Analytics

Ape'd in at 86. Softwares role in AI distribution and datacontext is only now coming to the forefront. Saaspocalypse is over for the companies who understand that datastructure and context is everything in the AI era. AI relies on traditional software to contextualise data

Databinding in WPF is super easy -- let's see it in action! In order to make a binding work, we need to change the property of our control in our XAML. That means if we want to bind some value to property XYZ, we need to go to property XYZ in the XAML and make an update. The most simple form of binding syntax is using curly braces around Binding ABC, where ABC is the name of a property that you have on your data context. And what the heck is a data context? This is an object you'll set on the control's DataContext property -- often referred to as the View Model. And after that simple example, you can work towards more complex bindings! Watch the full video here: youtube.com/watch?v=Iya8J34o…

#DataContext: दिग्गज टेक कंपनी ओरेकल ने 30,000 कर्मचारियों की छंटनी का फैसला किया है। यह छंटनी ऐसे समय में हो रही है, जब ओरेकल तेजी से अपने AI और क्लाउड इन्फ्रास्ट्रक्चर का विस्तार कर रहा है। मार्केट कैप के आधार पर ओरेकल दुनिया की 23वीं बड़ी टेक कंपनी है और वह तेजी से उभरती AI Economy पर दांव लगा रही है। छंटनी की वजह कंपनी में वित्तीय संकट नहीं, बल्कि रणनीतिक बदलाव है, जिसके तहत कंपनी क्लाउड और AI के विस्तार के बीच वर्कफोर्स का पुनर्गठन कर रही है। #Oracle #AI #layoffs #VishvasNews

Tweet 5/5 — Context Note Annual Report figures represent reported incidents and IA case activity. Counts ≠ rates, and year-to-year comparisons may reflect enforcement focus, reporting practices, and classification adjustments. #DataContext

Data without context creates noise. Context turns data into insight. The BTCEN ecosystem is built to capture not just events, but the conditions around them. #BTCEN #Ecosystem #Blockchain #DataContext #Web3

昔の記憶ベースで恐縮ですが、出力ウィンドウに Binding 関連のエラー（例：パスが見つからない・DataContext系） 出てないですか？ WPFだと表示されない原因になりがちです。 例: System.Windows.Data Error みたいなエラー

#Csharp WPFが提供するMVVMフレームワークは defaultのInotifyChanged実装(ViewModel)が基本になっていて、これがViewとModel(Data)との橋渡しを担ってる。これがMVVMのコア実装だと考えてよい。 そのほかの条件 Viewに渡す変数はPublic なプロパティであること(大文字が慣例) MainWindowでDataContextにViewModelを参照させること(XAMLでも指定できる) 当然だがNewすること 参考：qiita.com/EndOfData/items/16…

Rain canceled our Kuju hike, but Kumamoto was a coding success. My best-friend taught me to optimize Ushimado’s app: 1 API call vs 9, using GlobalData and DataContext. A weekend of learning! Share your tips or ask questions! 💻🌧️ #indiehackers #buildinginpublic

ViewModelをMainWindowのDataContextに代入。 極めて単純です。 双方向の変更通知だとObservalCocolectionも必要です。

This article misses key context. Yes, China now emits the most CO₂ in total, but that ignores population size, production for Western consumption, and 150 years of emissions from industrialized nations. Per person, China still emits far less than the U.S. or EU — and it’s leading in renewable energy growth. Climate accountability isn’t about pointing fingers; it’s about understanding who emitted, when, and why. #ClimateChange #DataContext #EnergyTransition

Understand the purpose of each metric before reporting it. KPIs without context mislead. #DataContext @IIBA @IIBAToronto @credly #MDMarketInsights #BusinessAnalysis #CapitalMarkets #FinancialServices #TradeFloor #FinanceIndustry #InvestmentAnalysis #DataAnalytics #RiskManagement #TradingStrategies #MarketResearch #FinancialData #InvestmentManagement #AssetManagement #Fintech #RegulatoryCompliance #PortfolioManagement #Derivatives #MarketAnalysis #FinancialTechnology #TradingTools #QuantitativeAnalysis #InvestmentStrategy #BusinessIntelligence #FinancialInnovation #EconomicAnalysis #TradingSystems #DataScience #HedgeFunds #PrivateEquity #RiskAnalysis

No sabés que es un panda rojo y usar grok en vez de buscarlo por tu cuenta. Doble inútil.

Industrial AI company Cognite staged its annual practitioner, customer and partner conference in Houston, Texas this week. With a focus on automating, integrating and accelerating business… dlvr.it/TNgjMV #DataManagement #datacontext #generativeAI - Follow us!

But even without suspense - you could always fetch in the router layer and re-render as the data comes back. It's just that using an effect is easier fetch(url).then((data) => { root.render( <DataContext value={data}> <Route /> </DataContext> ) });

LA FALLA ES HABER CONFIADO EN UN GOBIERNO QUE HOY PRESUME LOS PODERES, DONDE NADIE PUEDE REFUTAR SUS ACCIONES, DONDE LA POLICÍA Y LAS FFAA ATACAN AL PUEBLO ECUATORIANO SIN TEMOR. Y DE PASO, SI TODOS LOS PERIODISTAS ESTAN UBICADOS EN UN SECTOR SON CLARAMENTE IDENTIFICABLES!!

🔵 𝐇𝐨𝐰 𝐈 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐲 𝐂𝐥𝐞𝐚𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 (𝐅𝐨𝐥𝐝𝐞𝐫 𝐛𝐲 𝐅𝐨𝐥𝐝𝐞𝐫) Clean Architecture isn’t just about principles, it’s about clarity. A well-structured folder setup keeps your code scalable, testable, and easy to navigate. 𝟏. 𝐃𝐨𝐦𝐚𝐢𝐧 𝐋𝐚𝐲𝐞𝐫 This is the core of the system, 100% pure C#. 📁 Domain ├── 📁 DomainEvents ├── 📁 Entities ├── 📁 Enumerators ├── 📁 Constants ├── 📁 Exceptions ├── 📁 Repositories ├── 📁 Shared └── 📁 ValueObjects 𝟐. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 This layer defines what your system should do. 📁 Application ├── 📁 Abstractions │   ├── 📁 Data │   ├── 📁 Email │   └── 📁 Messaging ├── 📁 Behaviors ├── 📁 Contracts ├── 📁 User │   ├── 📁 Commands │   └── 📁 Queries ├── 📁 Order │   ├── 📁 Commands │   └── 📁 Queries └── 📁 UseCases # (Optional) 𝟑. 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐋𝐚𝐲𝐞𝐫 This is where tech details live. It implements all the abstractions. 📁 Infrastructure ├── 📁 Data │   ├── 📁 Repositories │   ├── 📁 Migrations │   └── 📁 DataContext │     └── ApplicationDbContext.cs ├── 📁 Messagin ├── 📁 Services └── 📁 Jobs 𝟒. 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 This is the entry point: Controllers, Endpoints. 📁 Presentation ├── 📁 Controllers ├── 📁 Middleware ├── 📁 Extensions ├── 📁 Endpoints   # For Minimal APIs (optional) └── 📁 ViewModels  # For frontend or UI rendering (optional) 💬 How do you structure your .NET projects? ❤️ Like if this helped bring some structure to your project 🔄 Share with someone struggling with a messy codebase! #CleanArchitecture #DotNet #BackendTips #SoftwareDesign #FolderStructure #PedroConstantino #CQRS #CSharp

Every breakthrough in AI and DeFi comes down to one thing: Data. But not just any datacontext-rich, human-driven data that tells the real story behind the noise. Over the past weeks, @membit_ai has built one of the strongest grassroots data-hunting communities in Web3. More than 22 million posts have been captured, cleaned, and structured. What started as a scroll-to-earn experiment is now shaping up to be something far more powerful: a living data layer for the next era of AI and Web3. Most AI systems today are brilliant but limited; they generate answers without a true sense of why things matter now. They lack the pulse of the internet, the context that makes human conversation, sentiment, and signals so valuable. @membit_ai changes this. By harnessing millions of posts across platforms like X, Farcaster, Bluesky, and Truth Social, Membit delivers more than just raw text, it delivers contextualized, time-sensitive, and human-verified data. This context is what separates a generic chatbot from an AI agent that can act intelligently in the real world. With this growing dataset, the possibilities extend far beyond Membit itself. A few clear use cases emerge: • AI Agent Builders → @membit_ai provides agents with real-time, context-rich signals that allow them to make smarter decisions, whether trading, recommending, or automating tasks. Making any agent on Virtual Protocol have the same level of knowledge as Grok without the need to pay for X’s API. • Data Analytics Platforms → Membit’s dataset becomes a goldmine for understanding sentiment, trends, and social shifts at scale. Think about @CoinMarketCap with real sentiment from social media built in, not just the outdated news feeds from news sites. More real-time data = far more useful signals for traders and analysts. • Social Listening Projects → Brands, protocols, and researchers can tap into the flow of public discourse to measure influence, detect narratives early, or map how information spreads. For example, these data could be integrated into social listening tools like Mandala.ai or even into Google Analytics with member integrated, giving researchers and brands richer, real-time social signals. • Emergent Projects → From misinformation detection to cultural analytics, Membit opens the door to countless experiments where context is king. The Bigger Picture This is more than a dataset. It’s the foundation for a new data economy where individuals not corporations are the source of value. @membit_ai is showing that when communities collect, structure, and share data together, the result is far more powerful than any walled-garden AI company could achieve. From 22M posts today to hundreds of millions tomorrow, Membit is evolving into the backbone for AI × Web3 applications an open, decentralized, and community-driven context layer. What’s Next Membit has proven that a community can capture value where traditional AI pipelines cannot. The next phase is to showcase and scale the utility of this data: ⇛ Integrating with AI agent frameworks. ⇛ Powering dashboards for analysts. ⇛ Enabling new research and listening tools. This isn’t just about hunting data anymore. It’s about unlocking intelligence. That's a wrap!

Every time @virtuals_io or top CT voices like @Graeme drop $VIRTUAL stats or ecosystem alpha, watch the crowd fomo in. Recent Graeme post highlighted a 10.54% rally and $1.19B market cap for AI agents (Virtuals up 11.95%), juiced by major tool drops—check the Degen Capital ecosystem radar or 0xMeta dashboard if you’re tracking new launches or leaderboard shifts. It’s all about datacontext CT engagement driving the meta, but remember, sentiment’s fickle—don’t just follow the crowd, anon.