Machine Learning
Although the actual applications of AI are rapidly growing, many companies struggle with the integration of machine learning algorithms in their workflow. The aim of this talk is to help you comprehend your needs, gauge your expectations and assess the feasibility of an AI project.
Machine Learning
Capabilities and Boundaries of Machine Learning
Although the actual applications of AI are rapidly growing, many companies struggle with the integration of machine learning algorithms in their workflow. The aim of this talk is to help you comprehend your needs, gauge your expectations and assess the feasibility of an AI project.
Machine Learning
AI in Workflow Automation
Based on our experience and expertise we show you case studies where machine learning algorithms undertake actual tasks within existing workflows. We show you the boundary between fully automated and semi automated processes and speak about the importance of the man-machine interface.
Machine Learning
Applied AI
We explain the difference and interplay between machine learning research, machine learning engineering and data science. We speak about the organization of a machine learning project and how each of these fields contributes to it.
NLP & Information Extraction
Although the actual applications of AI are rapidly growing, many companies struggle with the integration of machine learning algorithms in their workflow. The aim of this talk is to help you comprehend your needs, gauge your expectations and assess the feasibility of an AI project.
NLP & Information Extraction
Information Extraction from Semi-Structured Documents
We speak about challenges and illustrate strategies used for the identification and extraction of specified fields of interest within a document. Such fields may be related to customer information, purchased items or general document identifiers.
NLP & Information Extraction
From Documents to Training Data
There is a growing demand for automatically processing all sorts of documents. We present different labelling tools and discuss strategies on how to turn your documents into training data.
NLP & Information Extraction
Extracting Text from Document Scans
We present different open source and commercial OCR software enabling the extraction of text from document images and show you how to choose the best optical character recognition (OCR) tool for your project.
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Computer Vision in Quality Control
Although the actual applications of AI are rapidly growing, many companies struggle with the integration of machine learning algorithms in their workflow. The aim of this talk is to help you comprehend your needs, gauge your expectations and assess the feasibility of an AI project.
Computer Vision in Quality Control
Computer Vision in Quality Control
We discuss the application of machine learning for defect detection and present state of the art methods for data augmentation.
Computer Vision in Quality Control
Computer Vision for Technical Drawings
We speak about challenges and illustrate strategies used for the analysis and classification of technical drawings using Computer Vision and optical character recognition.
Computer Vision in Quality Control
AI in Remote Sensing
This talk is a walk through case studies in remote sensing. We present some of our machine learning applications developed for the German Meteorological Service, the European Space Agency and the industry while sharing hands on experiences.
Computer Vision in Quality Control
The Deep Neural Networks Behind Computer Vision
A walkthrough of the field of neural networks used in modern Computer Vision - from CNNs to concrete architectures such as the U-Net and concepts such as pre-training. Furthermore, we discuss their advantages and disadvantages.
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