🚀 MCP Servers: The Connector Layer We Need, But Not Yet Enterprise Ready! Just wrapped up an amazing experience at apidays London 2025, “No AI without APIs”. Some standout sessions I attended: - “Agentic AI: From Roadmap to ROI” by Nigel Walters (Google Cloud) - “From APIs to AI: Leveraging Integration Assets for MCP Enablement” by Kalpshekhar Gupta (IBM) 💡 My take: MCP servers are here to stay. They act as a universal connector layer for AI Agents and can evolve into a powerful management layer in the future. But right now, key gaps remain: 🔒 Security controls are still evolving, no standard approach across implementations 📉 Monitoring & observability require custom setups, no mature built-in framework yet These are critical if MCP is to reach enterprise grade adoption. Had a great conversation with some speakers on this, and it was reassuring to see similar perspectives. #apidays #API #AI #AgenticAI #DigitalTransformation #TechEvents
MCP Servers: A Promising Connector Layer for AI, But Not Yet Enterprise Ready
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n8n finally did it. Just released their own prompt workflow generator. Login to n8n, describe your automation or AI agent, and it builds it for you, right there in the canvas. Before this, you needed Claude Code, Sonnet 4.5, and the n8n MCP server to make it work. Now? Just type what you want. The AI builds your workflow on the canvas. Adds nodes. Configures connections. Lays out the structure. Refine it and go live. Update to version 1.115.0 or later on n8n Cloud at n8n.io to try it. (not available for self-hosting yet) What automation have you been putting off building? #n8n #Automation #AI
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Built on AI from Google Cloud, we're excited to see Castor launch Castor Catalyst ahead of #HLTH2025. This new AI powered platform for "Self-Driving" Clinical Studies directly addresses the time, cost, and error bottlenecks by automating tasks in a secure, audited environment. This entire solution is powered by a foundation on AI from Google Cloud and data technologies: 🔷 The agents are driven by Google’s Gemini models, built and scaled on Vertex AI. 🔷 Google’s BigQuery handles massive data processing and analytics workloads. 🔷 Operating on Google Cloud's secure, compliant infrastructure with support for standards like HL7 FHIR, the platform ensures seamless EHR integration and provides full observability, auditability, and regulatory readiness for submission-grade RWE. Read more about Catalyst here → https://goo.gle/4qa4dlb
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Self-driving clinical studies a pipe dream? Definitely not, we’re already building it at NextNovate! Yesterday our customer Castor launched Catalyst, an AI-powered platform (on Google Cloud’s infrastructure) that we helped build to automate burdensome tasks in clinical studies. We replaced a slow, expensive, and error-prone manual process—which required flying specialists worldwide for data entry with a fully automated solution powered by Gemini. The system we’ve designed for Castor extracts data from thousands of documents at once with extreme accuracy, complete with a transparent audit trail to see exactly where the data came from. This is how we turn AI ambition into reality. Read more: https://lnkd.in/env7CnQc
Built on AI from Google Cloud, we're excited to see Castor launch Castor Catalyst ahead of #HLTH2025. This new AI powered platform for "Self-Driving" Clinical Studies directly addresses the time, cost, and error bottlenecks by automating tasks in a secure, audited environment. This entire solution is powered by a foundation on AI from Google Cloud and data technologies: 🔷 The agents are driven by Google’s Gemini models, built and scaled on Vertex AI. 🔷 Google’s BigQuery handles massive data processing and analytics workloads. 🔷 Operating on Google Cloud's secure, compliant infrastructure with support for standards like HL7 FHIR, the platform ensures seamless EHR integration and provides full observability, auditability, and regulatory readiness for submission-grade RWE. Read more about Catalyst here → https://goo.gle/4qa4dlb
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Great to see this story go live ahead of today's #HLTH2025 event. Built on Google Cloud's #AI and infrastructure, Castor's 'Catalyst' platform is a massive step forward towards solving the human and data bottlenecks in clinical trials. By creating self-driving, human-supervised clinical studies, Catalyst helps to automate the most burdensome tasks, and dramatically cut down on the time, cost, and errors. Castor's Catalyst demonstrates #AI's power to transform how reserachers work, enabling them to prioritize patients and science over administration! Jasper Geelen Carolyn Entress Olivia Cornejo Derk Arts, MD PhD Kevin Thornton
Built on AI from Google Cloud, we're excited to see Castor launch Castor Catalyst ahead of #HLTH2025. This new AI powered platform for "Self-Driving" Clinical Studies directly addresses the time, cost, and error bottlenecks by automating tasks in a secure, audited environment. This entire solution is powered by a foundation on AI from Google Cloud and data technologies: 🔷 The agents are driven by Google’s Gemini models, built and scaled on Vertex AI. 🔷 Google’s BigQuery handles massive data processing and analytics workloads. 🔷 Operating on Google Cloud's secure, compliant infrastructure with support for standards like HL7 FHIR, the platform ensures seamless EHR integration and provides full observability, auditability, and regulatory readiness for submission-grade RWE. Read more about Catalyst here → https://goo.gle/4qa4dlb
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🚀 Castor Catalyst: Transforming Clinical Studies with AI Built on AI from Google Cloud and with help of our partner NextNovate, we're excited to see Castor launch Castor Catalyst ahead of #HLTH2025. Real-World Impact: Catalyst compressed a process that traditionally took 4 weeks and 40 hours of human time into less than 4 hours in a real-world GLP-1 therapy registry. That's over a 90% reduction in labor for a critical workflow! Massive Efficiency Gains: The platform targets a 50% reduction in manual effort in Phase 2/3 studies within the next five years, empowering research teams to focus on patients and science, not endless administrative clicks. #Castor #GoogleCloud #NextNovate #ClinicalTrials #LifeSciences #AI #GenerativeAI #DigitalHealth #RWE #ClinicalResearch
Built on AI from Google Cloud, we're excited to see Castor launch Castor Catalyst ahead of #HLTH2025. This new AI powered platform for "Self-Driving" Clinical Studies directly addresses the time, cost, and error bottlenecks by automating tasks in a secure, audited environment. This entire solution is powered by a foundation on AI from Google Cloud and data technologies: 🔷 The agents are driven by Google’s Gemini models, built and scaled on Vertex AI. 🔷 Google’s BigQuery handles massive data processing and analytics workloads. 🔷 Operating on Google Cloud's secure, compliant infrastructure with support for standards like HL7 FHIR, the platform ensures seamless EHR integration and provides full observability, auditability, and regulatory readiness for submission-grade RWE. Read more about Catalyst here → https://goo.gle/4qa4dlb
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Anush E., AMD, shares how AMD and #PyTorch are empowering developers to build AI anywhere with ROCm software — from cloud to client. 📸 Livestream afternoon #PyTorchCon sessions: https://lnkd.in/gvPfigbX #PyTorchLive #OpenSourceAI
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AI sounds exciting - but before you switch it on, make sure your business is ready. In this short clip, Paul from Ingram Micro Cloud explains the Microsoft 365 Copilot Technical Readiness Assessment - a simple, structured way to check your systems are safe and prepared for Copilot. Think of it like a “health check” before adding AI into your day-to-day tools. It ensures you get all the benefits without creating new risks. Watch the clip here: https://lnkd.in/eAJMwbQj or the full video here: https://lnkd.in/eJRT9sA4
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Hackathons push you to learn fast and build faster. My first one led to PHI Shield. In 10 days, I built a secure web application that helps protect sensitive PHI/PII data during upload and processing. By leveraging OpenAI’s Codex (GPT-5), I streamlined development and integrated Microsoft Azure's Functions, Blob Storage, Cosmos DB, and Cognitive Services for document intelligence and text analytics. This was my first time blending GenAI with Azure cloud tools end-to-end, and it pushed me to learn quickly, adapt, and ship something real under tight time constraints. Check out the live demo here: https://lnkd.in/gcUSQr82
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AI sounds exciting - but before you switch it on, make sure your business is ready. In this short clip, Paul from Ingram Micro Cloud explains the Microsoft 365 Copilot Technical Readiness Assessment - a simple, structured way to check your systems are safe and prepared for Copilot. Think of it like a “health check” before adding AI into your day-to-day tools. It ensures you get all the benefits without creating new risks. Watch the Full Video here: the full video here: https://lnkd.in/e_DkVAG9
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Cloud storage is evolving from passive capacity to active, programmable infrastructure. In our latest post, we explore 5 trends shaping the future of enterprise data storage in 2026: 1️⃣ Sovereign edge deployments 2️⃣ Verifiable audit logs 3️⃣ Zero-trust storage 4️⃣ AI-native orchestration 5️⃣ Sustainability by design These trends mark a fundamental shift, where enterprises demand verifiable integrity, programmable access, and intelligent optimization built for the AI era. Read how Akave Cloud is helping teams prepare for what’s next: https://lnkd.in/gUAVebZB
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