How Cloud AI is Transforming Video Monitoring

AI-Powered Operations at the Edge: Transforming Remote Industrial and Maritime Assets From offshore platforms to manufacturing plants, AI at the edge is transforming how remote operations think, act, and adapt. At the Disrupt Lead AI Forum 2025, we explored how on-site AI enables instant decision-making, reduces costs, and ensures continuity, without relying on cloud connectivity. 🎙 Speaker: 🔹Thanasis Politis, Solutions Architect, Public Cloud Group - PCG International Find out more about Disrupt Lead AI Forum 2025: http://bit.ly/4naE7f0 #DisruptLeadAIForum #EdgeAI #IndustrialAI #AIInnovation #SmartManufacturing #AILeadership #MaritimeTech #ArtificialIntelligence #BusinessTransformation #DisruptAISummitSeries

From downtime to drive-time — that’s the transformational promise behind Concept Reply US's AIOps-powered cloud operations. With machine learning detecting anomalies, routing alerts intelligently, and diagnosing root causes in real time, we empower teams to act before issues escalate — turning what used to be reactive firefighting into proactive, streamlined operations. 👉 70% faster detection and resolution 👉 Fewer false alarms, less alert overload 👉 Greater uptime across mission-critical systems In smart manufacturing and connected vehicle ecosystems, every minute of downtime eats into productivity. With our AIOps, you not only reduce risk — you accelerate value. Ready to shift gears? Learn more: https://lnkd.in/gD_7zvp7 #AIOps #SmartFactory #DigitalTransformation #AI #Industry40

📍 The Hidden Layer of AI: Latency > Location Everyone’s talking about capacity. No one’s talking about distance. According to IDC and Gartner, latency-sensitive AI workloads, from real-time risk scoring to autonomous systems and AR/VR are reshaping the geography of data infrastructure. The future isn’t just hyperscale. It’s hyper-local. AI inference doesn’t wait for data to travel halfway across the world. In this era, milliseconds = money. 💡 The next big competition won’t be for megawatts, but for milliseconds. The real winners will be those who can build smaller, faster, distributed nodes, edge facilities sitting within 10 ms of the end user. As AI scatters the cloud, the new infrastructure race begins: From scale → to proximity. #42UClub #AI #EdgeComputing #Latency #Cloud #DigitalInfrastructure #DataCenters Source IDC FutureScape: Worldwide Cloud 2025 https://lnkd.in/d32n9sx4 Gartner: Edge Computing for AI and Real-Time Systems, 2025 Outlook https://lnkd.in/dCWuv7TB

The next decade belongs to intelligent infrastructure. AI isn’t just transforming what we build — it’s redefining how IT operates, scales, and secures itself. From AI-optimized cloud platforms to autonomous operations and privacy-preserving collaboration, the enterprise stack is being re-architected — from the data center to the edge. This short video introduces IDC’s FutureScape: Worldwide IT Industry 2026 Predictions, and from my perspective, three of the most important shifts shaping the AI era. I'll share a prediction each day this week and then wrap up the series on Friday. I sincerely hope you come along for the journey. You can fine and read the full FutureScape report here: https://lnkd.in/euW3Qdez #IDCFutureScapes #AgenticAI #NavigateWithIDC #ChartTheAgenticFuture #AIOrchestration #AIInfrastructure

We’re proud to introduce ignio™, our flagship Agentic AI platform built to revolutionize IT operations. Powered by purpose-built AI agents, ignio™ helps enterprises move from reactive firefighting to proactive, ticketless operations—paving the way to fully autonomous IT. These agents can perceive, reason, act, and learn—delivering self-healing systems and real business outcomes. From reducing alert fatigue and MTTR to boosting cloud ROI, predicting delays, and ensuring long-term stability, ignio™ drives measurable impact across the enterprise. 👉 Read the full press release: https://lnkd.in/gvf532_r #AgenticAI #AutonomousEnterprise #TicketlessIT #AIOps #ITOps #EnterpriseAI #DigitalTransformation

Exciting news from Digitate! The journey from reactive to self-driving IT operations just took a giant leap forward. Our new Agentic Al platform, powered by ignioTM, is now generally available - ushering in the future of autonomous, ticketless IT and business operations. This breakthrough introduces intelligent Al agents that autonomously manage IT events, resolve incidents, and support SRE teams while empowering CIOs with actionable insights for smarter decision-making. Learn more about how Digitate is transforming enterprise automation with intelligent autonomy. #AgenticAl #AutonomousEnterprise #AlOps #1TOperations #Digitate #ignio

AI Observability isn’t a new silo — it’s an evolution. It extends your enterprise observability into the world of AI, covering three essential layers: 1. Infrastructure Observability — ensuring uptime, utilization, and cloud service health. 2. LLM Observability — measuring latency, throughput, token cost, and error rates. 3. Agent Observability — the next frontier, where APM meets AI. Every AI Agent is essentially an application powered by an LLM, which means: Agent Observability must be an extension of APM (Application Performance Monitoring). Just as APM tracks system performance and traces, Agent Observability tracks reasoning quality, workflow tracing, and semantic accuracy — ensuring reliability, trust, and accountability in AI-powered systems. When you unify metrics, traces, and logs across these three layers, you move from system uptime to AI outcome assurance. #AIObservability #AgenticAI #GenerativeAI #AgentObservability #AIGovernance #AIOpsX

At #CoreShift2025, Alex Staton, Sales Director, Cloud & AI at Microsoft, explored how the next wave of Agentic AI is reshaping the industry. ✨ Session Key highlights included: 1. AI-Powered Service Agents improving multilingual support and reducing costs. 2. Advanced Analytics & Optimization enabling smarter media spend, SKU optimization, and faster insights. 3. Operational Excellence with AI-driven complaint automation, real-time workforce analytics, and automated audits. Watch the on-demand session here: https://lnkd.in/gTN86m7u #CoreShift2025 #AgenticAI #Automation #AIforBusiness #CFOInsights #BusinessAutomation #DigitalTransformation #B2BInnovation

How AI Agents Automated Shipping Operations From 30 Minutes to 10 Seconds Traditional shipping workflows rely on human coordination, manual validation, and repetitive data checks, slowing down operations and increasing costs. At Quixas Technology, we built a multi-agent AI system that transforms this process into a fully automated workflow, from planning to compliance, in just 10 seconds. Here’s how: 5 specialized AI agents collaborate like a digital operations team Orchestrated through LangGraph and LangChain Powered by Google Cloud & FastAPI Result: 95% automation rate, 1000+ requests/day, and real-time decision-making This is how we’re redefining what “operational efficiency” truly means. Explore how multi-agent AI can transform your industry. Visit our website https://vist.ly/4ai5t #QuixasTechnology #AgenticAI #AIInnovation #AIAutomation #IntelligentAutomation #DigitalTransformation #AIEngineering #WorkflowAutomation #TechForBusiness #OperationalExcellence

The global AI data center market is accelerating, driven by generative AI, cloud expansion, and rising compute demand. Our latest infographic highlights key growth drivers, technical challenges, and global capacity distribution from power efficiency to emerging regional hubs. Riding this wave of AI-driven growth, Bitdeer AI is expanding globally with next-generation AI data centers that fuel the future of intelligent computing. Take a look at the full chart below💡. #AIDatacenter #AIInfra #AICloud