数据提取和人工智能入门：实际用例.pdf

1、Getting Started with Data Extraction and AIProprietary and confidential information.Do not distribute.Proprietary and confidential information.Do not Poll:Are you familiar with Generative AI and use it?Proprietary and confidential information.Do not distribute.Proprietary and confidential informatio

2、n.Do not What is Generative AI?Most people are familiar with Generative AI(or GenAI)in the form of ChatGPT or other AI chatbots.Put simply,GenAI are machine learning models that can generate text,images,video,or other content from end-user queries based on data theyve been trained on.Who are the pla

3、yersin the space?For the sake of todays discussion we will be covering Azure OpenAI and AWS Textract Custom Queries in our demonstrations.Both Cloud tools have no user interface(UI)to process documents in Proprietary and confidential information.Do not distribute.Proprietary and confidential informa

4、tion.Do not So,how do we consume these Cloud services?Intelligent Document Processing.IDP mimics the data processing employee to recognize,scan,and categorize documents.Relevant information is extracted using cognitive AI technologies like Large Language Models(LLMs)and neural transformersThese pinp

5、oint exact data points within the documentIDP organizes the extracted data and presents it in a readily accessible format for routing,review,and approval within an ERP(Enterprise Resource Planning)system or applicable line of business Proprietary and confidential information.Do not distribute.Propri

6、etary and confidential information.Do not A batch capture wrapper around the top 5 hypervisor intelligent OCR enginesAllows API level integration with the top 6 cloud engines:Azure AI Document IntelligenceAzure OpenAiGoogle Document AIAWS TextractHyperscienceABBYYVantageIntroducing:Kodak Alaris Info