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ScienceLogic

Part 1: What If Data Wasn't Just the Fuel for AI but the Foundation of Everything It Knows?

Dec 2, 2025 By ScienceLogic In ScienceLogic
Every breakthrough begins with a question. What if we looked beyond today’s tools, buzzwords, and hype and examined the design principles shaping tomorrow’s intelligent enterprises? The What If series explores those inflection points: moments where technology meets human judgment, where automation meets accountability, and where AI begins to resemble something more like understanding than output.
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Enhancing Productivity with Predictive Analytics and AI

Dec 2, 2025 By Ivanti In Ivanti
Dex aims to improve productivity and strategic leadership through predictive analytics and AI solutions. It highlights proactive problem-solving and the necessity for visibility in monitoring systems. Leadership is urged to understand how IT affects staff satisfaction and business outcomes. Immediate goals focus on enhancing visibility, while long-term strategies should align Dex's results with business priorities to secure support and investment.
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Datadog Bits AI SRE: Your new teammate for on-call shifts

Dec 2, 2025 By Datadog In Datadog
Bits AI SRE is an always-on SRE agent built to handle complex troubleshooting and late-night alerts. Developed against thousands of real-world incidents and powered by Datadog’s platform, Bits AI SRE analyzes your entire stack, tests hypotheses, and identifies root causes in minutes. Resolve faster, get back to sleep sooner, and give your on-call team the confidence and capacity they need.
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Your AI Needs Git Context. Meet GitKraken MCP

Dec 2, 2025 By GitKraken In GitKraken
Give your AI-assistants and agents the repo context they need with GitKraken MCP. Now bundled with GitLens for IDEs. Give your agents full Git context, streamline decisions, and work faster across VS Code, Cursor, and your favorite AI tools. See how MCP connects your repos, providers, and Git into one smart, seamless layer if Git intelligence your agents and you can use. Perfect for developers building with AI. Perfect for teams who want clarity, speed, and zero context loss.
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upsun

Managing cloud infrastructure with AI assistant and Upsun MCP server

Dec 2, 2025 By Anita Okem-Achu In Upsun
Artificial intelligence is changing the way we execute our everyday operations. AI assistants are incredibly intelligent; they can write code, explain complex concepts, and answer any question you throw at them. However, they can't execute actions on their own. If you ask your AI assistant to “create a backup of my database,” it may provide you with clear instructions, run the CLI commands directly or in some cases, even trigger actions through connected agent workflows.
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Autonomous SOC: Moving Toward Self-Driving Security Operations

Autonomous SOC: Moving Toward Self-Driving Security Operations

Dec 2, 2025 By OpsMatters In OpsMatters
The idea of a fully autonomous security operations center (SOC) sparks fascination and skepticism in equal measure. Swimlane defines an autonomous SOC as a center that uses AI, machine learning and automation to handle a significant portion of security tasks, including threat detection, triage and even remediation, with minimal human intervention. The goal is to free analysts from repetitive tasks so they can focus on strategy and threat hunting. Although a completely selfdriving SOC remains aspirational, advances in hyperautomation, enterprise automation architectures and AI agents are bringing us closer.
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European enterprises prioritise governance in AI deployments, as North America accelerates towards full autonomy

European enterprises prioritise governance in AI deployments, as North America accelerates towards full autonomy

Dec 1, 2025 By Digitate In Digitate
Digitate report reveals differing approaches to AI deployment between Europe and North America, but ROI remains consistent. Europe leading on governance while NA organisations show faster progress towards autonomous operations.
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last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

Dec 1, 2025 By Anjali Udasi In Last9
The observability market has moved beyond manual threshold-setting. Modern platforms use statistical algorithms, machine learning, and causal AI to detect anomalies automatically. Some work immediately after deployment. Others train on your data for better accuracy. Each approach has technical trade-offs worth understanding. This guide compares how nine monitoring solutions handle automated anomaly detection and root cause analysis.
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datadog

Accelerate investigations with AI-powered log parsing

Dec 1, 2025 By Usman Khan In Datadog
When debugging production issues, investigating security incidents, or analyzing network traffic, engineers and analysts need not only to find the right logs but to make sense of all the dense, unstructured data generated by different systems. Logs rarely ship neatly laid out in a way that facilitates filtering, faceting, or graphing for every possible scenario. As a result, teams often find themselves writing regular expressions or custom parsers on the fly, which can be error-prone and time-consuming.
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