将 Azure AI 的文档智能模型与 Fabric 中的可持续性数据解决方案集成.pdf

1、Integrating Azure AIs Document Intelligence models with SDSFAbhinav PremsekharProgram Manager IIDeep BaldhaSoftware Engineer IISUS04RAbhinav PremsekharDeep BaldhaProgram Manager IIMicrosoft Cloud for SustainabilitySoftware Engineer IIMicrosoft Cloud for SustainabilityMeet your speakersAgendaOverview

2、 of Document Intelligence models in Azure AIApplications in SustainabilityArchitectureExtracting and transforming dataDemoQ&ABuild solutions that automatically converts images,forms and documents into usable data.Enable users to focus on data driven decision making rather than compiling data.Custome

3、rs can use pre-built domain-specific models or train their own custom model based on their business use cases.A cloud-based service that uses machine learning models to help you process and extract data from documentsOverview of Document Intelligence models in Azure AIQuery fields feature allows use

4、rs to specify the exact field names to search for in a pre-built model.Accuracy scores measures the custom models ability to accurately predict the labelled value on a document.Include multiple variations and formats to improve accuracy score.Confidence scores indicates probability by measuring the

5、degree of statistical certainty that the extracted result is detected correctly.Consider the ethical implications of data processing,including data privacy and security concernsApplications in SustainabilityData from utility companies:Process data from scanned images of bills generated by utility co

6、mpanies to understand the consumption patterns and cost associated with purchased electricity and third-party water.Value chain data:Analyse documents like shipping invoices or manifests to extract supply-chain and product lifecycle data to measure your organization and product environmental footpri