Cover Image for SOLVE DATA EXTRACTION ISSUES FROM COMPLEX DOCUMENT DESIGNS
Cover Image for SOLVE DATA EXTRACTION ISSUES FROM COMPLEX DOCUMENT DESIGNS
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SOLVE DATA EXTRACTION ISSUES FROM COMPLEX DOCUMENT DESIGNS

Hosted by Barathi Ganesh
Google Meet
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Past Event
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About Event

To overcome the challenges of data extraction -full end to end details or only information of interest  – from complex documents of any style join my Masterclass 

Who should attend: Are you facing challenges of extensive efforts of post processing/ editing/ correcting extracted data to ensure that only relevant data is pushed to next stage and making your internal or external client unhappy about? 

With lot many tools available, it has become quite easy to extract data from standard documents like research papers, manuals, letters, simple tabular structures on case-to-case basis. These tools help extract the data from typical documents like PDF structures images Scan sets.  

But challenge starts when we need to extract details from thousands and millions of documents having complicated structures OR when information of interest is located at different places in each document OR when information is represented differently in each document and we need to extract it based on the context  of representation of data, things become tricky and standard solutions fall short of expectations. 

What will you get by Attending this class : This will help you understand technical complexities in extraction of reliable data in case of complex documents. I will also try to define what we mean by complex data  ( it is not a document of 200 Pages or a document having a long invoice table with 100 items into it) . How such scenarios to be treated differently and how different methods improve reliability / accuracy and extraction speed.   

What will be Outcome : You would be able to identify which document structures needs special treatment and you would start evaluating such challenges with different perspective and would not put your teams in end less trials of improvement through existing tools. 

Key Take Away 

  1. Process of data extraction  using AI Tools/OCR / NLP Methods. 

  2. Challenges Faced during data extraction in normal cases 

  3. Challenges faced in data extraction in complex cases special situations ( Vertical Text/ Water Mark/ Table in Table/ Changing Format Contextual Search) 

  4. Various methods to address such cases 

  5. Some use cases of special situations 

  6. Critical Aspects of solution : High Performance AND Consistent Performance. 

  7. Pros and Cons of Problem Specific Solution Design 

Looking forward to see you soon .

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