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You're reading from  Practical Guide to Azure Cognitive Services

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781801812917
Edition1st Edition
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Authors (3):
Chris Seferlis
Chris Seferlis
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Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
Read more about Chris Seferlis

Christopher Nellis
Christopher Nellis
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Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
Read more about Christopher Nellis

Andy Roberts
Andy Roberts
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Andy Roberts

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
Read more about Andy Roberts

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Building the complete solution in Azure

Here, we will use the Anomaly Detector service to look for anomalies in refrigerator temperature readings. This example is a slice of what might exist in a real-world implementation; however, we have simplified the flow so we may concentrate on the Cognitive Service and not a full-blown IoT implementation. For our example, we will use the following diagram as our reference architecture:

Figure 9.2 – Reference architecture for the example of building an anomaly detector in an operational service

Figure 9.2 – Reference architecture for the example of building an anomaly detector in an operational service

The basic building blocks of this solution include the following:

  • An Azure function to simulate the refrigerator readings.
    • For ease of deployment and to keep things in one place, for this example, we have implemented the simulator as an Azure function. You could take the same basic code and implement it outside of Azure as well – as long as you have connectivity to the Azure Event Hub.
  • An Azure Event...
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Practical Guide to Azure Cognitive Services
Published in: May 2023Publisher: PacktISBN-13: 9781801812917

Authors (3)

author image
Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
Read more about Chris Seferlis

author image
Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
Read more about Christopher Nellis

author image
Andy Roberts

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
Read more about Andy Roberts