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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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Reviewing a brief history of document collection solutions

The term knowledge mining is much newer than the concept, with a 21st-century enhancement that includes the cloud and AI. In fact, organizations around the world have sought after a centralized management system of their documents and other assets containing company-specific information for decades now. When we consider that document management systems (DMSees) have been around for decades, due to a proliferation of documents and data, it is no surprise that the opportunity has surfaced to align with AI for enhancements. These systems were developed to have a central repository of documents for archival and reference. DMSees align context with the documents themselves by providing tags and hierarchical structure for simpler retrieval and searching. tagging and describing documents is manual in process, as each document needs to be described and tagged individually. As the volume and variety of documents increase dramatically...

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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