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KAISPE has been providing solutions and services to customers using Microsoft Dynamics, Azure, Power platform, Oracle NetSuite, mobile and web app development.

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azure machine learning

  • January 16, 2020
  • jdkaispe

KAISPE Azure Machine Learning PoC Offering is now available on Microsoft Marketplace

NEW YORK, January 16, 2020– KAISPE is pleased to announce that customers and partners can now avail our one week Proof of Concept offering for Microsoft Azure Machine Learning implementation. This will particularly help customers who want to practically see how Azure Machine Learning can help them fulfilling the Predictive Maintenance requirements for their business […]

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  • November 14, 2019
  • jdkaispe

Predictive Maintenance Feature in KAISPE IoT Web Portal

With increasing demand of having Predictive Maintenance for Connected Assets, KAISPE has introduced predictive maintenance functionality in its solutions. In this blog, we will briefly discuss how we have included predictive maintenance feature in our IoT web portal to help customers proactively maintain their business assets. We provide Predictive Maintenance through Microsoft Azure Machine Learning […]

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  • September 3, 2019
  • jdkaispe

Comparison between Microsoft Azure Machine Learning Service and ML Studio

Hi, Today we will be evaluating the difference between of Azure Machine Learning Services and Azure Machine Learning Studio that will help us to choose the best option to develop our Machine Learning solution. First lets start with Azure Machine Learning Studio which offers a robust set of tools designed to develop, deploy and manage […]

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  • August 16, 2019
  • jdkaispe

Anomaly Detection for IoT Measurements using Azure Machine Learning

Today we will walk-through a simple experiment in Azure Machine Learning Studio that will detect anomalies in IoT measurements. We will use the data for telemetry like temperature, humidity, soil moisture and pH level being collected from the IoT devices which are connected with Azure IoT Central. We will use Anomaly Detection algorithm for our […]

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