A review by @chris508 in @ArabianReseller review highlights why "The Rise of #LogicalDataManagement" is helping leaders rethink #AI, #DataFabric, & #DataMesh. 📖 Read the review: okt.to/Ze2ida 🚀 Get your complimentary copy: okt.to/Fn9QD2 #DiscoverLogical

Lower cost for buyers. Higher rewards for node operators. Real DePIN flywheel in action. #DePIN #DataMesh #Web3 #AI

Thank you @RamaswmySridhar for this great opportunity to have a pitch talk about the project I am responsible for creating next-gen datamesh architecture: the Open Dataspaces and its DPQM where ontology is treated as a product in parallel with Data Product!

Another great example of AI ROI from #DellTechWorld - Dell's data mesh and real-time prompt engineering achieving a single version of the truth to align operating, technology, and business models. @DellTech @JClarkeatDell video.cube365.net/c/YlmBcWG9… #DataMesh #SingleSourceOfTruth #PromptEngineering #AI #RealTimeAnalytics #DigitalTransformation #CIO #OperatingModel #DataDriven #DataOps #Dell

DataMeshやりたくてやるってより、そうじゃないと回らんって感じだよな。Data Meshを目的化したら、マイクロサービスの失敗パターンと似てる落ちになりそう。 #みん強

Quick Data Mesh mental model if you're just starting out: → Domain teams = own their data products → Self-serve platform = shared infra (Databricks, Delta Lake, dbt) → Federated governance = global policies, local enforcement #DataEngineering #DataMesh #DataArchitecture

The first thing you need to do is get into setting up your datameshing for your characters. I don't want to share my datamesh of Pawn so ill show you datameshing other characters. If you put the name of the person in the datamesh it makes it so much easier when prompting. You can literally just drop the character datameshing into Grok imagine and say "I want Domino and Jessica standing at an art exhibit in a Wearhouse posing for a picture in front of a sculpted statue. 16:9 aspect ratio" Once you do a solid round of datameshing everything else becomes trivial. You can datamesh specific scenes, and props as well. In some cases you might even want to further setup your datameshing with actual 3d meshes in Meshy to really get proper context. Everything comes down to how you datamesh your characters and scenes. Your datamesh is more than half your prompt, make it as perfect as possible. So for Pawn leaning on the pillar, I gave ChatGPT pawns datamesh and the prompt was literally as simple as this. "Can I have Pawn in a café leaning against a wood pillar. Dutch angle as she leans forward slightly. I want the angle to be above her as she looks slightly up toward the camera, steep gods eye angle. Fisheye lens effect 16:9 aspect ratio" @MukiTanaka Here ya go, hope that answers your question.

time to rearch with federated learning models arxiv.org/abs/2202.07757 and datamesh keep the data at the source where it belongs for every transfer and transformation adds risks where is that truthful and clean data who knows? arxiv.org/html/2403.17878v2 datamesh-architecture.com/

Data mesh or mesh of humans? Done well, data mesh IS a network of humans. #DataMesh #DataGovernance

Data mesh or mesh of humans? Done well, data mesh IS a network of humans. #DataMesh #DataGovernance

In this new 🖱 Interactive Demo, you will learn all about Data Contracts. They are a powerful tool for enforcing quality and trust by aligning consumers with data producers by defining rules for a table's schema, semantics, security, and quality. #OpenMetadata #DataEngineering #DataContracts #DataMesh Try it here: collate.storylane.io/share/m…

DataOS: Unified DataOps and the Data Developer Platform Architecture Data is no longer just storage—it’s a product. In this video, we break down how modern enterprises are moving from messy, monolithic data systems to powerful Unified DataOps platforms. Discover: ✅ Data Mesh vs Data Fabric vs Data OS (explained simply) ✅ How platforms like Microsoft Fabric are changing the game ✅ Why self-serve data infrastructure is the future ✅ The role of orchestration tools like Airflow If you're building data platforms, working in AI/ML, or scaling analytics—this video will change how you think about data. 💡 The future of data is decentralized, product-driven, and developer-first. #DataOps #DataEngineering #DataMesh #DataFabric #MicrosoftFabric #BigData #AI #DataArchitecture #ApacheAirflow #ModernDataStack youtu.be/yrmLow4XqWA?si=LrFE… via @YouTube

In this new 🖱 Interactive Demo, you will learn about Data Products in Collate. They are a flexible concept that allows you to combine various data asset objects into logical groupings for different audiences. Try it here: collate.storylane.io/share/o… #OpenMetadata #DataEngineering #DataProducts #DataMesh

I spent the last few days building DataMesh it's a decentralized file marketplace on @shelbyserves and I learned a lot from this (link in comment section) Here's what I built and the limitations I ran into: DataMesh lets you browse and download files stored on Shelby's network Connect your Petra "Testnet" wallet to see your uploaded files, track storage and manage everything in one place The biggest challenge i faced: Browser wallet signing isn't supported by the Shelby SDK yet, so uploads can only be done via CLI for now, i built a step by step guide which you’ll see on Drive page if you plan to upload via CLI Shelbynet blobs stay "Pending" until storage nodes fully write the data, so I added Pending badges and direct links to Shelby Explorer so users always know what's happening with their files Getting the Shelbynet indexer working required an API key, i was able to solve this using geomi api

Mindmap to Learn Data Structures and Algorithms Source: @Krishnasagrawal #AI #python #ml #DataScience #BigData #datascientist #datawarehouse #data #datapipeline #datamesh #artificialintelligence #data #AgenticAI #AppliedAI #Automation #machinelearning #deeplearning #AIAgents

good evening everyone Data Vault에서 음성·이미지 세트 메타데이터 흐름을 끝까지 추적, 블랙박스→provenance 체감 Epoch 3 $PERC 풀 라이브, @PerceptronNTWK 실사용 케이스도 도는중 #AI #datamesh

#DataStreaming is replacing #ReverseETL in modern architectures. Batch heavy #DataIntegration drives cost and inconsistency. #ShiftLeft with #ApacheKafka and #ApacheFlink builds trusted #DataProducts in motion, enabling scalable #DataMesh and better foundations for #AgenticAI.

Spun up a node before lunch, opened the dashboard, and watched live signals flow spare bandwidth turned into contribution proof and a small reputation tick. Feels different from the usual token hype. This is infrastructure work > Real-time data, not stale lakes > Human-validated loops, not opaque pipelines > Network effect through nodes (700K narrative for a reason) backed by Colosseum Ventures What @PerceptronNTWK is building is a Data Mesh DePIN stack that prioritizes throughput and governance over marketing noise. $PERC still hasn’t hit a major CEX and the extension setup literally takes two minutes Are we early infrastructure participants or waiting for the next announcement? #DataMesh #DePIN #AI I'm joining Epoch 3 starting NOW - and there's an additional $50,000 USD in $PERC bonuses waiting for you!

Is your main challenge data ownership or data integration? Data mesh and data fabric address different parts of the problem. Our new article by Ivan Ishchenko for #StarWind outlines the trade-offs and benefits of each approach. Read more here: starwind.com/s/156 #StarWind_handy #DataMesh #DataFabric #DataArchitecture #DataManagement #EnterpriseData

AI deployments aren’t failing on models, they’re failing on data. Surveys line up with what I’m seeing day to day: 39% struggle with training/fine-tuning workflows, 35% with data quality, 34% with unreliable GenAI outputs. The bottleneck is upstream. That’s why @PerceptronNTWK stands out: it treats data quality as a first-class system, not an afterthought How it closes the gap: - Human-in-the-loop data mesh with multi-node cross-validation - Contributor reputation baked into $PERC so high-signal wins and low-signal is filtered - Portable, on-chain trust for AI contributors instead of siloed cred - Real-time, human-verified streams that cut hallucinations and keep models grounded Access matters: the Brickroad integration puts Perceptron datasets directly in IDEs via @TryBrickroad’s Dataset Builder, giving labs and engineers a clean path from query to licensed, ML-ready data without hunting or hand-wiring pipelines On the ground, I’m running the extension on desktop and the Android app. Points aren’t what they were early on, but the incentive design is aligned: build reputation, earn $PERC, contribute signal. If you’re serious about agents, RAG, or decisioning in constrained environments, start at the input layer and make the data verifiable #perceptron #PERC #AI #DataMesh