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Increase retail operations efficiency

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With Machine Learning, (e-)retailers operations can be optimized by:

automatic tagging and classification of articles from text or image data
forecasting product demand and optimize pricing
identifying fraudulent products, suppliers or clients

Projects in Commerce

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Legal Review of Rental Contracts

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

Automatic Checking of Service Charge Statements

Semantic Search for Public Administration

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

Predicting Potential Reach of Video Ad Campaigns

We simulate internet traffic and bidding scenarios to predict the reach of advertising campaigns.

Numeric Attribute Extraction from Product Descriptions

Automatically extract numerical attributes from product descriptions in order to enrich the existing database.

Blog Posts in Commerce

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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

I explain why language models tend to reproduce stereotypes and prejudices with potentially harmful consequences - and how to use them with care.

Natural Language Processing

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

By Fabian Gringel October 24th, 2021

Here I explain in which situations GPT-3 fails and why it is far from having proper natural language understanding, which approaches can help to mitigate these issues and might lead to the next breakthrough and what alternatives to GPT-3 there are already.

Natural Language Processing

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

By Fabian Gringel September 27th, 2021

In this blog article I will explain how GPT-3 works, why some people think it’s dangerous, and how you can try out a GPT-3-like model yourself for free.

Computer Vision

CLIP: Mining the treasure trove of unlabeled image data

By Fabian Gringel June 21st, 2021

Contrastive Language-Image Pretraining (short: CLIP) makes use of image captions to train a zero-shot image classifier. In this blog article I will give a rough non-technical outline of how CLIP works, and I will also show how you can try CLIP out yourself!


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

By Emilius Richter May 21st, 2021

We discuss what questions should be considered and answered up front to launch a successful machine learning software project.


Enhancing Search with Question Answering

By Angela Maennel April 26th, 2021

Here I show how open-domain question answering systems work and how they can enhance search engines. We will have closer look at one specific type of system, DrQA.


The best image labeling tools for Computer Vision

By The best image labeling tools for Computer Vision April 8th, 2021

Here we have a closer look at some of the best image labeling tools for Computer Vision tasks. We will install and configure the tools and illustrate their capabilities by applying them to label real images for an object detection task.

Use Cases in Commerce

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