How to build AI-ready data architectures for ROI

💥 Think you can slap an AI model on your legacy data and call it transformation? Who are you, Einstein trying to run Excel on an air fryer? 🥸 😂 NVMD (www.nvmd.tech) shows that poor data quality alone drives an 87% failure rate in AI projects, costing U.S. businesses $3.1 trillion in lost productivity every year. Real-world receipts: ❌ Failure: IBM Watson Health spent $62 billion chasing AI on broken data foundations. It collapsed. ➡️ (here’s the facepalm: https://lnkd.in/e_4vJSr4) ✅ Success: Capital One invested $250 million in data infrastructure first. Model errors dropped 45% and ROI scaled across the enterprise. ➡️ (full story: https://lnkd.in/e_4vJSr4) Want proof? ❌ Failure: MIT found that 95% of AI pilots never make production. ➡️ (need my source?: https://lnkd.in/e746wnRu) ❌ Failure: Fivetran reports nearly half of enterprise AI projects stall due to poor data readiness. ➡️ (yep, it’s real: https://lnkd.in/eDWs5T2s) ✅ Success: TrendCandy/Reltio highlight fractured data as a killer. McDonald’s avoided it by spending years on data hygiene first, then rolled out AI smoothly at scale. ➡️ (proof’s in the fries: https://lnkd.in/eX-iqQRr) ✅ Success: TechRadar confirms, “Real AI success begins not with models, but with trusted, unified data foundations driving smarter, compliant decisions.” ➡️ (Here’s your sign: https://lnkd.in/eRQzTeYg ) The lesson is clear: build data infrastructure that’s AI-ready, not just AI-compatible. Governance, real-time access, unified oversight… these are not bureaucratic headaches, they’re your launchpad. So here’s your swagger move: stop chasing AI models and partner with NVMD (www.nvmd.tech) to fix the data plumbing first. Because shiny AI without solid infrastructure isn’t innovation, it’s just a $62 billion mistake waiting to happen. 👉 If your AI strategy feels clogged, it’s not the faucet, it’s the pipes. NVMD is the plumber your data has been waiting for. Reach out to me directly if you’re ready to stop pouring money into failed projects and start building AI that actually works.

Forget AI data readiness - it's about the architecture. K2view's CTO on MCP, context, and how to get enterprise AI results: We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is context the obsession of enterprise AI vendors? K2view CTO Yuval Perlov has answers - and surprising views on why "data readiness" is overrated. http://dlvr.it/TN2jJF

Forget AI data readiness - it's about the architecture. K2view's CTO on MCP, context, and how to get enterprise AI results: We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is context the obsession of enterprise AI vendors? K2view CTO Yuval Perlov has answers - and surprising views on why "data readiness" is overrated. http://dlvr.it/TN2jJD

Forget AI data readiness - it's about the architecture. K2view's CTO on MCP, context, and how to get enterprise AI results: We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is context the obsession of enterprise AI vendors? K2view CTO Yuval Perlov has answers - and surprising views on why "data readiness" is overrated. http://dlvr.it/TN2jHh

Many enterprises still struggle with data silos: fragmented systems, duplicated records, and no single source of truth. At Gallagher, we addressing this through the adoption of a medallion architecture on Snowflake The results included: - A unified data layer across multiple global regions - Improvement in speed-to-insight for analytics teams - Generative AI pilots powered by trusted data rather than isolated systems The lesson is simple: without disciplined data foundations, AI is just noise. How is your organization addressing the challenge of data silos? #InsuranceInnovation #AIinInsurance #GenerativeAI #DataStrategy #ArtificialIntelligence

Your data is everywhere, but are your analytics and insights? 💥 Today, we’re changing the game. We're launching Boundaryless, Agentic Intelligence—designed to connect insight to action across your entire business ecosystem. This is how you get work done, monetize your data, and build truly intelligent applications. 🥊 Here’s how we're smashing the boundaries of legacy BI: - From Passive to Action-Centric: Go from passive reporting to active, agentic decision-making that triggers actions in the tools you already use. - Structured + Unstructured Data: Our advanced AI agent, Spotter 3, now blends all of your data, delivering contextual insights instantly. - Built on Trust: Our platform is grounded in an agentic semantic layer, built-in governance, and a cloud-agnostic architecture. Dive into the details and experience the future of analytics 👉 https://lnkd.in/e5J7v9-R

AI has changed the game. Organizations expect and are demanding a new operating model for intelligent experiences that are frictionless, instant, contextual, explainable, and embedded in every part of their workflow. This is a pivotal moment, and I'm thrilled to announce that ThoughtSpot is leading the charge. Our Agentic Analytics Platform is breaking down barriers, transforming fragmented data into unified action across your entire business ecosystem. We're not just connecting insights to action—we're creating a new standard for what's possible.

Now in beta: the remote dbt MCP server. Bring structured, governed context into AI workflows, without local setup or servers. One endpoint to your models, metadata, tests, and lineage makes it simple to: • Power conversational analytics with governed metrics • Search metadata instantly with Discovery • Run SQL, tests, and lineage checks remotely Read more here 👉 https://lnkd.in/ePzTynjF

F5's strengths in application delivery, security, and traffic management combined with MinIO's expertise in high-performance, S3-compatible object storage, creates a secure, scalable, and high-performance data pipeline for modern AI applications!

AI starts with your data, but silos are still holding teams back. In this on-demand webinar, experts from Fivetran, Databricks, Sigma, and SunnyData discuss how to centralize data efficiently and lay the foundation for AI-driven insights. From architecture to activation, it’s a deep dive into what modern data teams actually need. Watch here: https://5tran.co/45xvDYs