Stop using "High/Medium/Low" labels for boardroom risk. It’s an insult to the math.

​The HFY Coefficient is a deterministic 0-100 scalar. We feed Shiki’s Latent Vectors into an Isolation Forest (iForest) engine and run 100,000-iteration "Kill-Shot" simulations.

​HFY = np.clip((0.5 - iForest.decision_function) * 100, 0, 100)

​It measures the exact mathematical distance between a vendor's reality and structural collapse. 📉

​#DataScience #AnomalyDetection #RiskEngineering #Math

The future of AI-driven monitoring in anomaly detection.
We are using the Model Context Protocol (#MCP) to enhance AI capabilities within VictoriaMetrics Anomaly Detection. Our MCP Server integration is designed to help your team stay informed about critical events and product updates while simplifying the management of alerting rules.
Learn more about the MCP Server for VictoriaMetrics Anomaly Detection👇
https://bit.ly/4sMp6TM

#AnomalyDetection #VictoriaMetrics

Feature Spotlight: Anomaly Detection in OpenSearch automatically spot unusual patterns in your logs and metrics with ML-powered insights. Stay one step ahead of potential issues and optimize your systems proactively. https://opensearch.org/platform/anomaly-detection/

#OpenSearch #AnomalyDetection #MachineLearning

You already know that you can visualize your metrics from #Prometheus in #OpenSearch Dashboard's Discover Metrics experience (if not, check the comments).

But what if we could add some #AI sauce to detect anomalies and extrapolate forecasts?

Check out the new RFC for time series #anomalyDetection and #forecasting in @OpenSearchProject and chime in with your feedback.
https://github.com/opensearch-project/OpenSearch-Dashboards/issues/11439

#OpenSearchAmbassador #timeseries #metrics #monitoring #cloudnative
@Prometheus

Test VictoriaMetrics Anomaly Detection models before deployment.
Check out our public playground for VictoriaMetrics Anomaly Detection, designed to help you get insights from timeseries-like data for unexpected changes in behavior.
Try it out:
🟣 #Metrics playground - https://hubs.li/Q04281D20

📋 #Logs playground - https://hubs.li/Q0427_Hq0

🧵 #Traces playground - https://hubs.li/Q04281tt0

#SRE #AnomalyDetection #VictoriaMetrics

Many industries hope to benefit from #AI, but they know little about where it works & where it’s unreliable. #3DPrinting is a good field to test AI, with complex factors, interacting settings, & unpredictable conditions, says our author Andy Oram.

Read more in this article: https://lpi.org/711y

#3DPrinting #ArtificialIntelligence #MachineLearning #CNN #Biomimetic #AnomalyDetection #AdditiveManufacturing

🚀 Anomaly detection keeps getting smarter at VictoriaMetrics
There’s always something new shipping at #VictoriaMetrics and our Enterprise Anomaly Detection component is no exception.

If you rely on #metrics for #observability, you need more than dashboards. You need signals that surface problems before users feel them.
Read the full update here 👇
https://bit.ly/3MrxoB4

#DevOps #SRE #AnomalyDetection #HighAvailability

ITmedia AI＋ (@itm_aiplus)

NASA가 AI를 활용해 허블 우주망원경 아카이브를 분석한 결과, 단 2일 반 만에 약 1300개의 '이상한 천체' 후보를 발견했다는 보도입니다. 대규모 천문 데이터에서 이상 신호를 자동 탐지한 사례로, AI 기반 천문 탐사·데이터 마이닝의 효율성과 잠재력을 보여줍니다.

https://x.com/itm_aiplus/status/2018180102232903826

#ai #astronomy #nasa #hubble #anomalydetection