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Agentic IT operations, powered by BigPanda

BigPanda delivers the next evolution in AIOps solutions, featuring agentic automation for ITOps and ITSM teams, all in a single platform. Agentic IT operations from BigPanda keep the digital world running by transforming reactive, manual IT processes into proactive, intelligent automation. Our platform uses AI to detect, respond to, and prevent IT incidents at machine speed.

The 4 pillars of AI in 2026: Agents, cost, observability & sovereignty

AI is no longer just about "one-shot" prompts. In this session from our "From Idea to Agent" webinar, Ben Norris (AI Engineer at Civo) breaks down the four key priorities dominating the enterprise space in 2026. From the 130x explosion in token usage to the "vibe-coding" revolution, learn why businesses are turning away from US hyperscalers in favor of democratized, secure, and UK-sovereign AI infrastructure. We explore how autonomous agents are solving multi-step problems and why "Chain of Thought" reasoning is unlocking AI for heavily regulated industries like finance and healthcare.

Can We Still Trust the Code? #speedscale #qualityassurance #digitaltwin #trust #devops

The "Velocity Gap" is real. AI like Claude and GitHub Copilot are pumping out code faster than ever, but there’s a catch: Engineers don't trust it yet. We’re moving away from the old days of "clicking around" in a test environment, but how do we verify code at the speed of light? Ken breaks down why the future of QA isn't just "testing," it’s simulation. Video collab with @ScottMooreConsultingLLC Learn More: speedscale.com.

Gemini Cost Per API Call in 2026: What You'll Actually Pay (And How to Control It)

On paper, Gemini pricing looks straightforward. You pay per token. Input tokens cost one amount, output tokens cost another, and different models come with different rates. But once Gemini is wired into a production SaaS product, that simplicity disappears. Fast. That’s because token usage compounds across context, retrieval, and output — not across requests. The same “API call” can cost pennies in one feature and dollars in another.

API Monitoring: Metrics, Best Practices, Tools, and Setup Playbooks

Modern systems rarely fail in obvious ways. An API might slow down in one region, return subtly incorrect data after a : deploy, or degrade only under specific traffic patterns. By the time users report the issue, it has often already impacted reliability, revenue, or trust. This is why API monitoring has evolved from a simple uptime check into a core production discipline.

GPS Tracking Systems for Trucks Operating Across Regions

Regional long-haul trucking is a challenge that extends much beyond distance. The differences in road conditions, weather and regulations, and the quality of infrastructure render regional operations complex in nature. Once fleets start to act in these variables with fragmented information or delayed reports, they become inefficient almost instantly, and the risks grow.

Choosing the Right Business Internet Provider for Growth

Your internet connection is the quiet backbone of modern business. Cloud apps, video calls, payment terminals, and security cameras all run on it. When it fails, everything freezes-ITIC found that the average mid-size company loses about $300,000 for every hour offline in 2024. That's why choosing WOW! Business Internet (or a peer provider) is a mission-critical decision, not a utility line item. Use the framework below to align real-world performance and support with how your team works today-and how you plan to grow.

How Online Courses Make Lifelong Learning Simple and Accessible

Online courses make lifelong learning simple and accessible by offering flexible, affordable education from global experts, covering a wide range of subjects while fitting around your schedule and connecting you with supportive learning communities-all from the comfort of your own home.

GenAI Observability in Grafana Cloud: End-to-End Agent Debugging (Demo)

From Observability for GenAI Applications (Grafana OpenTelemetry Community Call) We drill into traces to see which agents called which tools, where errors occurred, how long each LLM call took, and how costs and tokens are distributed. The walkthrough also covers using AI assistance to summarize long traces and identify optimization opportunities in real time..