#CognitiveServices – Nuevo Servicio: Anomaly Detector

Buenas!

Durante estos días, estoy totalmente centrado en un increíble evento en Avanade Canada: Canada !nnovate Event, y casi me pierdo el lanzamiento de este nuevo servicio, en la familia Cognitive Services: Anomaly Detector.

Este fin de semana tenia pensado terminar mi sesión para la próxima Global AI Night (link), sin embargo, me parece que dedicaré un poco de tiempo para poder hablar del mismo en el próximo evento.

Después de pasar hoy en día leyendo sobre el servicio, parece que funciona con series de tiempo de datos y el uso de modelos específicos, se centran en las anomalías de los datos de la serie y .. ¡Magia! Creo que la documentación oficial lo explica mejor:

The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.

Detect pattern changes in service requests

More information: https://azure.microsoft.com/en-us/services/cognitive-services/anomaly-detector/

Saludos @ Burlington

El Bruno

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#CognitiveServices – New service: Anomaly Detector

Hi !

So, I’m fully focused on have an amazing Canadian !nnovate Event in Avanade and I almost miss this new service, in the Cognitive Services Family: Anomaly Detector.

I was planning to run my 30K Around the Bay this weekend and also finish my session for the next Global AI Night (link), however I may play around with this service and add a quick reference on the next event.

After spending sometime today reading about the service, it seems that it works with time series of data and using specific models, it focus on anomalies of data on the series and .. magic! I think the official documentation explains this better:

The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.

Detect pattern changes in service requests

More information: https://azure.microsoft.com/en-us/services/cognitive-services/anomaly-detector/

Greetings @ Toronto

El Bruno