Back Office Automation

With Machine Learning, back office processes can be optimized by:

saving time and resources in non-value creating tasks, e.g. by assigning incoming documents or requests automatically
helping employees and customers finding relevant information to their request easily and without additional human interaction
reducing time lapse between request and answer and increase customer service quality

Case Studies related to Back Office Automation

Natural Language Processing

Legal review of rental contracts

Different methods from the field of NLP helped us to create a software that spots errors in legal contracts.

Our solution

Natural Language Processing

Semantic search for public administration

dida developed an AI based algorithm to extract relevant information from authority documents.

Our solution

Use cases related to Back Office Automation

Automated question answering for CVs of candidates

Classification of customer requests

Classification of PDF documents

Extracting information from tables

Extraction of entities from invoices and orders in SAP

Identification and validation of contract clauses

Webinars related to Back Office Automation

Took place on November 24th 2020

Recurrent neural networks: How computers learn to read

The webinar will give an introduction to the functioning of RNNs and illustrate their use in an example project from the field of legal tech

Fabian Gringel

Machine Learning Scientist

Details

Took place on September 24th 2020

Semantic search and understanding of natural text with neural networks: BERT

In this webinar you will get an introduction to the application of BERT for Semantic Search using a real case study: Every year millions of citizens interact with public authorities and are regularly overwhelmed by the technical language used there. We have successfully used BERT to deliver the right answer from government documents with the help of colloquial queries - without having to use technical terms in the queries.

Konrad Schultka

Machine Learning Scientist

Jona Welsch

Machine Learning Scientist

Details

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