Course Overview
This guided solution uses Azure Cognitive Search AI enrichment to extract meaning from the original complex, unstructured JFK Files dataset. Large, unstructured datasets like the JFK Files, which contain over 34,000 pages of documents about the CIA investigation of the 1963 JFK assassination, include typewritten and handwritten notes, photos and diagrams, and other unstructured data that standard search solutions can't parse. From this sample, you can get inspirations and learnings for your own journey to make sense out of your unstructured data through AI.
Who should attend
- C-Level
- Business Decision Makers
Prerequisites
None
Course Objectives
One-day workshop, which will employ presentations, case-studies, discussions, and exercises.
Workshop exercises and forum-style discussions will augment and reinforce the courseware to provide a great interactive and collaborative experience for the participants.
Course Content
Participants will attend this one-day workshop, which will employ presentations, case-studies, discussions, and exercises which will achieve the following objectives:
- Increase the value and utility of unstructured text and image content in search and data science apps.
- Use custom skills to integrate open-source, third-party, or first-party code into indexing pipelines.
- Make scanned BMP or JPG documents full-text searchable.
- Produce better outcomes than standard PDF text extraction for PDFs with combined image and text.
- Create new information from inherently meaningful raw content or context that's hidden in larger unstructured or semi-structured documents.
Instructor
This workshop is delivered by a strongly qualified and certified Microsoft Most Valuable Professional (MVP) with high-profile industry experience.