dida Logo
Home › 
Industries › 


Increasing the efficiency of claims processing and precise risk assessment

© unsplash/@chriswebdog

With Machine Learning, insurance operations can be optimized by

decreasing your time to process claims by automatiion while ensuring fraud detection
assess risks accurately in underwriting, e.g. by automated satellite imagery for building insurances
estimate property damages after natural catastrophes from satellite data

Projects in Insurances

View all projects

Legal Review of Rental Contracts

Through dida's expertise in the field of natural language processing (NLP) we succeeded in creating a software for the legal review of rental agreements.

Automatic Checking of Service Charge Statements

With machine learning and NLP: Read about the development of software for the automatic verification of settlements using artificial intelligence.

Semantic Search for Public Administration

Machine learning and information extraction: dida's AI-based algorithm simplifies business registrations through intelligent semantic search.

Blog Posts in Insurances

View all blog posts

Project proposals - the first step to a successful ML project

By Emilius Richter July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.


Ethics in Natural Language Processing

By Marty Oelschläger (PhD) December 20th, 2021

Learn more about the ethics in natural language processing (NLP), the societal impact of machine learning (ML) & why caution should be exercised.

Natural Language Processing

GPT-3 and beyond - Part 2: Shortcomings and remedies

By Fabian Gringel October 24th, 2021

Expand your knowledge about GPT-3 and read here about opportunities, weaknesses & troubleshooting as well as alternatives of the AI-based language model.

Natural Language Processing

GPT-3 and beyond - Part 1: The basic recipe

By Fabian Gringel September 27th, 2021

Read here about how GPT-3 works, as well as its dangers & applications, and learn how you can try a GPT-3-like model for free.


21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.


Enhancing Search with Question Answering

By Angela Maennel April 26th, 2021

Read here about how open domain question answering systems work & how they can improve your website's search function.

Natural Language Processing

How to extract text from PDF files

By Lovis Schmidt • August 17th, 2020

Comparison of the open source Python PDF text extraction tools PyPDF2, pdfminer & PyMuPDF. Read about tools for extracting text from PDF files here.


The best free labeling tools for text annotation in NLP

By Fabian Gringel March 30th, 2020

Find out about the best free labeling tools for natural language processing (NLP) text annotation, installation & configuration.

Use Cases in Insurances

View all use cases