Netherlands

4 days / 20 talks
Awesome and great speakers

November 3-8
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Stefan Diefenbacher

Stefan Diefenbacher joined the Omnis community in 2018, marking the beginning of his developer career at the late age of 42. After completing a four-year apprenticeship at Profile GmbH, he continues to contribute to the company today.

With a robust IT background encompassing first and second level support, user training, system engineering, system management and IT project management, Stefan has been pivotal in developing many project-specific UIs and automation processes that support and enhance document digitizing workflows.

At the conference, he will present the integration of Azure Document AI with the JavaScript SDK in Omnis Studio, showcasing how to use its capabilities in AI-trained document recognition and field extraction.


Azure Documentintelligence – AI and Document Data Extraction

Using AI to reliably extract data from any document (text, PDF, image, written)

AI-supported field extraction from documents has been available to the market for several years. Early implementations of AI for document processing began to emerge in the mid-2010s. Notable advancements and broader market availability started around 2017-2018, with the development and release of various AI-powered OCR (Optical Character Recognition) and document understanding services by major tech companies like Google, Microsoft, and Amazon.

Today, fully automated extraction of document-specific contents and feeding them into your application or database is a common use case in many industries.

While implementing your own logic to handle one or two simple, consistent, and invariable forms might not be a challenge, adapting to a multitude of different and ever-changing templates and sources quickly poses a complex and costly problem.

What if

  • you could simply send your documents to an API from within Ommis and get the requested fields in return?
  • adding a new type of document to your recognition stack would only take you minutes?

This topic provides insights on the features and possibilities of integrating Azure Document intelligence into Omnis so that your application can extract the data content out of anything and place it into data fields.

Plattform overview and setup

  • Service Blueprint
  • Scope and limitations
  • Introducing the DocumentIntelligence Plattform
  • Setting up the required resources
  • Custom classification model
  • Custom extraction model
  • Training your models

Demo of Omnis integration with Document intelligence

  • Providing tokens for accessing the API
  • API Tests with Postman
  • Creating your own NODE module integrating the Azure SDK with the Omnis Javascript client
  • Deploying the module
  • Document Classification and Value extraction from Omnis

Preparing for the session:

Appropriate materials and code will be provided as part of the sessions.   However, to get the most out of the session, setting up a few thins in avance would help:

Sample documents will be provided, but you’re welcome to bring your own documents and train your models based on your specific requirements or ideas.




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Format

You’ll sign up for the session you want to attend on a first-come, first-served basis. Up to 6 participants may attend a session, if full, you can sign up for the same topic at a different time. During the session, the speaker will guide the audience through the main topic but you will be able to ask him/her to deviate and cover related areas. Sometimes participants offer new ideas and solutions to a problem.



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Flexible conference format means you can choose the best classes for you and at the best time. Some sessions will be repeated, so when you miss one, you can attend the same session later in the day or the week.

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