CEO Jeevan Kalanithi on OpenSpace's value beyond reality capture

Oracle's CEO Just Made $100 Billion in One Hour While Your Government Wastes Millions on AI That Doesn't Work In this episode of Bricks, Bucks & Bytes, Owen, Dustin, and Martin dive deep into the wild world of tech promises, government failures, and what's really happening behind the scenes in construction technology. Key Topics: - Oracle's shocking $300 billion OpenAI deal and Larry Ellison's instant $100 billion windfall - Why the UK government's Microsoft Copilot trial was a complete disaster - The brutal truth about why companies keep buying expensive software that doesn't work - OpenSpace CEO Jeevan Kalanithi reveals how reality capture is evolving beyond just taking pictures - Whether going barefoot in the office makes you a genius or just weird - Why pre-construction technology is decades behind field management tools - The real reason AI won't save construction anytime soon Special guest Jeevan Kalanithi from OpenSpace joins to discuss their major Waypoint conference announcements and shares his thoughts on the AI race in construction. Key Quote: "No one's ever going to get fired because they bought Microsoft or Oracle. That's why Microsoft Teams is everywhere, even though it's trash." - Dustin From billion-dollar stock moves to taxpayer waste to the future of building, this episode exposes the gap between tech hype and construction reality. Watch now on Youtube! Link in the comments!

Just spotted Microsoft's comprehensive MCP (Model Context Protocol) course drop - this is exactly what the AI agent ecosystem needed. MCP is gaining serious traction with adoption by Replit, Sourcegraph, and Hugging Face. We're seeing the shift from simple AI tools to intelligent agents that actually get work done. What caught my attention: → MCP Fundamentals & Architecture → Security Implementation (critical for enterprise) → Performance & Fault Tolerance (where most fail) → Real-World Case Studies The focus on modular, scalable workflows is spot-on. We're past proof-of-concept - organizations need agents that integrate with existing systems and deliver business value. For anyone building in the AI space: this feels like essential learning. Companies that master agent orchestration early will have a significant competitive advantage. Link to the full course in the comments 👇

✔ Companies unifying data see 379% ROI over three years ✔ Embedding analytics drives 85% higher sales growth and 25% greater margins The solution? A single, governed, AI-ready data foundation. Microsoft Fabric unifies data engineering, analytics, BI, governance, and AI. At DataArt, we see it as the strategic foundation to unlock the real value of enterprise data. 👉 Read the full article by Constantin Taivan, Solutions Architect: https://lnkd.in/dVeqK4yC #MicrosoftPartner #MicrosoftSolutionsPartne #AzureCloud #MicrosoftFabric #datatransformation #AI #MicrosoftAICloudPartnerProgram

✔ Companies unifying data see 379% ROI over three years ✔ Embedding analytics drives 85% higher sales growth and 25% greater margins The solution? A single, governed, AI-ready data foundation. Microsoft Fabric unifies data engineering, analytics, BI, governance, and AI. At DataArt, we see it as the strategic foundation to unlock the real value of enterprise data. 👉 Read the full article by Constantin Taivan, Solutions Architect: https://lnkd.in/dVeqK4yC #MicrosoftPartner #MicrosoftSolutionsPartne #AzureCloud #MicrosoftFabric #datatransformation #AI #MicrosoftAICloudPartnerProgram

🚀Atturra + Microsoft: Powering your AI Transformation At Atturra, we guide public sector, defence, utilities, education, and enterprise clients through migrations. We know the deadlines. We know the pitfalls. And we can help you plan a smooth move to Fabric. We work closely with Microsoft as a technology partner in this space, and we have an Important Update for Power BI customers. From 1 February 2025, Microsoft will no longer renew Power BI Premium per capacity (P-SKU). What this means? • At your next renewal, you’ll need to move to 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 (𝗙-𝗦𝗞𝗨𝘀). • You’ll unlock new 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀. • You’ll have more 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗰𝗼𝘀𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 - whether you’re running a small team or a large enterprise. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗺𝗼𝘀𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂: • When do you need to act? • What does migration involve for your environment? • How do you keep costs under control and avoid disruption? Watch the short video below to find out how Fabric powers AI transformation by bringing your teams and data together. If you’d like to discuss your specific situation, connect with one of our team: Darrell Shepherd Ben Heaney or Greg Mace at Atturra. #MicrosoftFabric #PowerBI #CloudSolutions #CloudMigration

AI automation only works at scale when it's observable, governed, and tied to ROI. This article outlines an AgentOps trust stack for enterprise workflows—observability, guardrails, evaluation, and cost-per-task telemetry—centered on Microsoft Power Platform and Azure. Highlights: - Reference architecture (Power Automate, Copilot Studio, Dataverse, Azure OpenAI) - Telemetry that traces prompts, costs, and outcomes (OpenTelemetry-aligned) - Guardrails: DLP, content safety, RAG grounding, rate limits, Managed Environments - Practical ROI model, KPIs, and cost-per-task accounting - Release practices: blue/green, feature flags, kill switches, and human-in-the-loop - A 6-week email triage case study with faster handling and higher first-pass approvals Useful for operations, customer service, and platform teams seeking measurable impact with governance. Explore the guide: https://lnkd.in/dJpBWzer

𝐖𝐡𝐲 𝐌𝐨𝐬𝐭 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐅𝐚𝐢𝐥 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐓𝐡𝐞𝐦 𝐑𝐢𝐠𝐡𝐭💡 Retrieval-Augmented Generation has huge potential, but without the right design, it’s a fast track to inefficiency. In our latest blog, we share: ✔️ Common mistakes in RAG deployments ✔️ How Azure AI solves scalability & security challenges ✔️ Best practices for enterprise-ready architectures Read it now and future-proof your AI workflows. https://lnkd.in/eR3hQ8Sh #OnyxData #AzureAI #RAGSystems #AIArchitecture #EnterpriseAI #MicrosoftPartner #AIInnovation #ThoughtLeadership

🔥 What happens when strategic insight, modern technology, and a spark of innovation come together? You get: Sparkle's Fabric Ignite. At Sparkle, we believe data only comes to life when strategy, architecture, and governance work in harmony. With Microsoft Fabric, we take a bold step toward an integrated, future-proof data platform. 🚀 Why? ✔️ One platform for all your data workloads ✔️ Seamless integration with the Microsoft ecosystem ✔️ Faster project delivery without compromising governance ✔️ A powerful catalyst for self-service BI and AI 🎥 Watch this video to discover how Sparkle helps organizations activate Microsoft Fabric — from strategy through to implementation. 💡 Ready to future-proof your data landscape? Get inspired by our approach and see how Fabric can spark real change in your organization. #MicrosoftFabric #DataPlatform #DataStrategy #Governance #DataConsultancy #AI #BusinessIntelligence #ModernDataStack #FabricIgnite 🔗 More info? Check the first comment.

The market for #MicrosoftFabric is evolving rapidly, bringing together data engineering, analytics, governance, and AI in a unified platform. What’s exciting is how Fabric is shaping the next wave of enterprise data strategy: - One foundation for data lakes, warehouses, and real-time analytics AI-driven insights built into workflows - Better governance and security for modern enterprises - For organizations, this means faster time-to-insight, simplified architectures, and a stronger data-driven culture. We are only at the beginning of this journey, but it’s clear, Microsoft Fabric is positioned to be a game-changer in the data & AI market.

Great diagram. I recommend this is used per AI feature, as you can use multiple products to deliver a great end user experience. This evidences the rapid development and high flexibility of the Microsoft stack. There is no development stack like it. My favourite part is that you can pretty seamlessly transport your feature from product to product by just transferring the config you already have invested in.