Automation insights
377 results found
Partner POV | Why Model Accuracy Isn't the Only Metric That Matters in AI
AI accuracy is crucial but insufficient for operational success. Beyond correctness, organizations must address latency, cost, adoption, and dependency impacts. Riverbed AI Assurance enhances visibility into AI's real-world performance, ensuring it delivers consistent value and integrates seamlessly into enterprise operations.
Partner POV | One year. 4.5 billion lines of code. 1.6 million hours saved. Here's what we learned.
A year ago, we launched AWS Transform with one mission: modernize the world's infrastructure and applications.
12 months in, here's what 4.5+ billion lines of code processed, hundreds of thousands of servers migrated, and saving customers 1.6+ million hours taught us about migration, modernization, and why this work cannot wait.
Observability using NetApp Data Infrastructure Insights (DII)
NetApp Data Infrastructure Insights delivers business value by transforming infrastructure operations from reactive firefighting into proactive, intelligence-driven management. By providing a single unified view across on-premises storage, virtualization, Kubernetes, SAN fabrics, and cloud environments, DII eliminates the fragmented, multi-tool monitoring that slows incident response and obscures root cause. Its AI/ML engine automatically baselines behavior, detects anomalies, correlates configuration changes to performance events, and maps workload relationships from application down to array reducing mean time to root cause identification by up-to 50%. On the capacity side, days-to-full forecasting and waste identification help organizations defer unnecessary hardware purchases and achieve 33% higher storage utilization from existing assets. For business leaders, this translates directly into fewer unplanned outages, lower operational costs, more predictable infrastructure spend, and Infrastructure teams that spend less time in war rooms and more time on strategic work.
WWT Agentic Network Assistant
Explore the WWT Agentic Network Assistant, a browser-based AI tool that converts natural language into Cisco CLI commands, executes them across multiple devices, and delivers structured analysis. Using a local LLM, it streamlines troubleshooting, summarizes device health, and compares configs, demonstrating the future of intuitive, AI driven network operations.
The Boardroom Reckoning on AI: Why AI Demands a New Kind of Leadership
AI is forcing a new leadership challenge inside the enterprise, in which boards are expected to oversee a fast-moving technology they do not manage day to day, while executives are tasked with deploying it responsibly at speed. In this episode, Byron Loflin, Global Head of Board Advisory at Nasdaq, and WWT AVP of Global Cyber Advocacy Kate Kuehn explore what that means for modern governance — from board-level AI literacy and trust between directors and management to error reporting, escalation paths and the growing need for stronger oversight as AI systems become more capable and more autonomous.
Partner POV | The Rise of the AI Workforce: Enterprises need a new operating model
A profound shift is underway in enterprise software delivery.
Developers can now generate, modify, and deploy systems faster than ever using AI. But understanding what those systems are doing in production is getting harder, not easier.
Partner POV | Dynatrace for AI: Teach your AI coding agent how to use Dynatrace
Introducing Dynatrace for AI, an open-source collection of agent skills and prompts that give any skills-compatible AI coding assistant the domain expertise it needs to work productively and accurately with Dynatrace.
Partner POV | OpenTelemetry Is Essential for Modern Application Observability
OpenTelemetry revolutionizes application observability by enabling comprehensive, vendor-neutral instrumentation. However, without intelligent control, data overload becomes a challenge. Riverbed's Smart OTel addresses this by filtering and managing telemetry, ensuring scalable, cost-effective observability.
Cloud Infrastructure as Code (IaC) Workshop
A half-day, hands-on workshop that helps clients move from ad-hoc infrastructure provisioning to a governed, repeatable delivery model with AI, GitOps and platform engineering as accelerators.
Hands-On Lab Workshop: NetBrain Essentials for Network Operations
Join us for a hands-on Learning Path and Lab experience designed to help network operations professionals unlock the full power of NetBrain. In this session, we will provide an overview of the Learning Path and explore NetBrain's operational workflow through a hands-on lab. Starting with network discovery and dynamic device mapping, you will then layer discovered data with Intent features such as parsers and diagnostics to enable low-code automation, standards validation, and scheduled rule checks through dashboards.
NetBrain is a web-based, SSH-, SNMP-, and API-driven network operations platform that helps teams visualize, automate, document, troubleshoot, and remediate their networks using live data and interactive maps. By the end of this session, you will understand how to use NetBrain not only to view your network, but also to continuously validate it and accelerate troubleshooting through repeatable, map-driven automated workflows.
Securing AI When Agents Move Faster Than Humans Can Respond
AI security is entering a new phase where models like Anthropic's Mythos are becoming more capable and agentic systems can take action across enterprise environments. The risk is no longer just bad answers or hallucinations. It is speed, scope and blast radius. In this episode of the AI Proving Ground Podcast, WWT security leaders Jillian Nix-Anderson and Istvan Berko explore how organizations can secure themselves in the agentic AI era, where vulnerability discovery, response timelines and operational complexity are all accelerating. And they talk about how WWT's ARMOR framework helps teams structure the conversation across infrastructure, models, data, software development, operations and compliance.