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Automate processes which contain text or speech

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Government & Public Sector

Accelerate civil services and relieve civil servants from monotonous tasks

With Machine Learning, civil service operations can be optimized by:

automating simple, repetitive civil services completely

helping citizens to find and request the required service, e.g. by Chatbots or Question Answering

automating and updating sovereign duties and information services based on satellite imagery

Projects in Government & Public Sector

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Legal Review of Rental Contracts

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

Automatic Checking of Service Charge Statements

Our software protects tenants against excessive service charge bills.

Semantic Search for Public Administration

Our algorithm helps citizens through the bureaucracy of registering a business.

Crop Type Classification

We predict crop types from satellite data to support modern agriculture.

Monitoring Urban Growth and Change

An image segmentation algorithm that supports sustainable city planning.

Blog Posts in Government & Public Sector

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December 20th

2021

Ethics in Natural Language Processing

November 3rd

2021

The best (Python) tools for remote sensing

October 24th

2021

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

September 27th

2021

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

June 21st

2021

CLIP: Mining the treasure trove of unlabeled image data

June 4th

2021

Migrating labels from Planet Scope to Sentinel-2

May 21st

2021

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

April 26th

2021

Enhancing Search with Question Answering

Use Cases in Government & Public Sector

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Automated public services

Crop classification for EU subsidy control (CAP)

Urban growth and change analysis

Webinars in Government & Public Sector

View all webinars

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 (PhD)

Machine Learning Scientist

Jona Welsch

Machine Learning Project Lead

Details

Took place on October 27th, 2020

Automated answering of questions with neural networks: BERT

In this webinar we will present a method based on the BERT model for automated answering of questions.

Mattes Mollenhauer

Machine Learning Scientist

Details

Took place on June 29th, 2021

NLP trend: profitably integrating neural language models into business practice

After an overview of how neural language models work and examples of their possible applications we will show things to be taken into account in order to use natural language models effectively in one's own business practice.

Konrad Mundinger

Machine Learning Scientist

Details

Took place on November 25th, 2021

ML for Remote Sensing: Analyse satellite data automatically

We will give an overview of the different types of available satellite data, Machine Learning methods used for their evaluation, as well as practical use cases.

Jona Welsch

Machine Learning Project Lead

Moritz Besser

Machine Learning Consultant

Details

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