Striim

CityFibre, the UK’s largest independent full-fibre platform, is on track to deliver high-speed connectivity to at least a third of the UK market. Rapid growth and partnerships with Sky, Vodafone, and TalkTalk made modernizing its data infrastructure essential. Striim replaced legacy systems with a scalable, real-time platform that centralized data in Snowflake and delivered reliable pipelines for proactive network management and customer service. The result is future-proof architecture that powers: ‣ Faster insights for diagnostics and customer tools ‣ Reliable scale with continuous CDC ‣ Agile delivery through CI/CD integration ‣ Future-ready foundation for AI and analytics CityFibre’s story shows how telcos can modernize data strategy to accelerate transformation and why real-time matters at national scale. Read the full case study to learn more. 🔗 https://lnkd.in/e49ps3xx

We loved our first MCP [Un]plugged discussion so much, we're back for more. After a captivating session exploring MCP and its role in agentic architectures, it's time to talk trust. How can we deploy MCP at scale, while maintaining trust and confidence in autonomous AI? To help us find the answer, we'll be hearing from Jake Bengtson, VP of AI Solutions at Striim, and Cal Al-Dhubaib, Head of AI and Data Science at Further. In our second installment of MCP [Un]plugged, our experts explore what it takes for enterprises to build trust in real-time intelligence, and how teams can empower AI agents to make decisions without compromising production systems. Grab your spot to hear from Jake and Cal! 🔗 https://lnkd.in/eYZAtyss

In November 2022, ChatGPT went live. Within five days, it hit 1M users. That moment launched a wildly popular product, but it also started a whole new conversation that ignited the AI revolution. Since then, we’ve seen: • The rise of LLMs (Claude, Gemini, GPT-4) • Multimodal models that handle text, images, audio, and video • A flood of copilots, assistants, and AI-powered apps • The shift from passive LLMs → autonomous agents But AI won’t transform the enterprise if it lives only inside a chatbot or standalone app. For AI to make real impact, it needs to connect with the systems, databases, and tools that actually run the business. Enter Model Context Protocol (MCP). Think of it as the USB-C of AI. Finally providing a universal way to connect agents with live, governed context. With MCP (and Striim’s real-time data integration), enterprises can deliver AI-ready context: governed, secure, and in sub-second latency, directly to agents. 🔗 Read the full article to learn more: https://lnkd.in/eNYZMnxV

✨ We’re proud to sponsor Microsoft Ignite 2025 — November 18–21 in San Francisco! As a trusted Microsoft partner, Striim helps organizations stream data in real time, powering intelligent analytics, data governance, and real-time integration across Microsoft Fabric. From modernizing legacy systems to enabling agentic AI at scale, Striim’s unified platform delivers sub-second latency, end-to-end visibility, and the reliability you need for the next generation of data infrastructure. 👉 Learn more or book a demo: https://lnkd.in/gbUdafUy

How do we make AI systems safe, strategic, and scalable? That's the question we took on with the help of our friends over at causaLens. In our latest post, we teamed up to explore how enterprises can operationalize intelligent agents (digital workers) that act with real-time context, not stale data. With Striim’s governed, real-time data streams and causaLens’s causal reasoning, teams can move from reactive analytics to AI-backed decision-making, safely and compliantly. Read the joint blog post to learn more. 🔗 https://lnkd.in/euGYbkXR

Big Data London set a high bar this year. This conference was an incredible opportunity to connect with data leaders, innovators, and partners driving the future of enterprise AI. The energy was electric, and the message was loud and clear: agentic AI can’t succeed without high-quality, integrated data delivered in real time. From intelligent data streaming to governed, AI-ready pipelines, Striim is helping enterprises operationalize AI with confidence, today. Thank you to everyone who stopped by, shared insights, and helped make BDL 2025 unforgettable. Catch the video below for a look at the conversations that defined this year’s event. #BigDataLondon #EnterpriseAI #Realtimedata

As we hand over more decision-making power to agents, the biggest challenge isn’t just accuracy or scale… It’s trust. Join Jake Bengtson (Striim) and Cal Al-Dhubaib (Further) for our second installment of MCP [Un]plugged where they'll unpack what it really takes to build confidence in agentic systems and so much more. 👉 Tune in and get a grounded look at how humans and machines can build confidence together.

What is MCP exactly? And what is its potential for agentic AI? You can think of MCP as the USB-C of AI: a universal standard that securely connects agents to the live, governed data they need, without brittle, one-off integrations. Our latest guide, What Is MCP and What Does It Mean for Modern Data Architectures, explores: ⁃ Why MCP matters for agentic AI success ⁃ How it solves the integration bottleneck ⁃ Real-world use cases in healthcare, manufacturing, finance, and more ⁃ What enterprises need to be MCP-ready Download the full guide and see how Striim helps enterprises power a real-time, trusted data layer for MCP. Available now: 🔗 https://lnkd.in/eadTK9Pw #AI #AgenticAI #MCP

Agentic AI in Action is happening tomorrow, and Striim is headlining the stage. If you want to see how agent-based systems are being used right now to orchestrate real-time data pipelines and autonomous workflows, don’t miss this. 🧠 Jake Bengtson, VP of AI @ Striim, will demo how their team is embedding agents directly into high-velocity streaming architectures—turning event data into context-aware, goal-driven decisions without manual intervention. What you’ll see: ➜ Agentic AI coordinating live data flows across platforms ➜ Real-time decisioning powered by reasoning agents ➜ A practical look at integration that doesn't break your existing stack 📅 Tomorrow | Oct 22 | 2:00pm ET / 11:00am PT ➡️ Save your seat here: https://hubs.ly/Q03sZV3D0

Most enterprises still process data in batches, long after events have already happened. But in an AI-driven world, delayed data means delayed decisions. Real-time data processing changes that equation. It enables systems to detect fraud as it happens, personalize customer experiences in the moment, and feed AI systems with live, contextual information instead of yesterday’s data. This shift requires a new approach around governance, observability, and data readiness across every layer of the enterprise. Our latest post explores what real-time data processing really means for modern business, and how companies are preparing for it. 🔗 https://lnkd.in/esBK4tMg