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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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Summary

This chapter covered the essential information that Ocean Smart used to understand the common Azure services that are used with cognitive services deployments. We also explored the most important things we must consider when deploying the services successfully at optimal costs, as well as their corresponding SLAs. We also went through a simple pricing exercise by comparing service tiers, looking at the services that are required to build a Form Recognizer PoC, and exporting the pricing calculator. These estimates will help you build the ROI and TCO models that we discussed in Chapter 2, Why Azure Cognitive Services?. As we diver deeper into this book and the build solutions for the specified use cases, we will look closer at the modeling costs for the solutions. Finally, we wrapped up this chapter by providing an overview of some data movement tools that can help you get your data moved to Azure efficiently for your requirements.

As we discussed earlier in this book, SLA...

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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