How unstructured data can be used for Process Mining with Deep Learning for Natural Language Processing and Computer Vision.
The DATANOMIQ AI Assessment is the check-up for your organization. We examine how your business organization can benefit from AI, with real results and implementation blueprints.
Why you should examine your organization for AI potential to gain process efficiency now with the DATANOMIQ AI Assessment.
A data lakehouse enables companies to access and process data faster and more efficiently to use data properly as a production factor.
Cloud Data Platform for Shopfloor Management using data from MES, ERP-Systems as well as from machine sensors directly.
Automated Car Damage Detection – Infographic about how to use Deep Learning (AI) in order to speed up your insurance refund process.
Nowadays, companies are not only evaluated according to their sales and profits, but also according to their data. Many organizations are far from satisfied with their data management, the business…
A fuzzy matching was used to combine the data from the two different sources. A selection of fuzzy string-matching algorithms was tested, for example Jaro-Winkler Distance, Levenshtein distance, Soundex or cosine similarity. The open-source algorithms can be very efficient and there is a selection to choose from depending on the use case.
Let’s say our customer needs structured, labeled images for an online tourism portal. The task for our AI model is therefore to recognize whether a picture is a bedroom, bathroom, spa area, restaurant, etc. Let’s take a look at the possible training methods.
How to protect the corporate identity of any company by ensuring consistent branding with automated font recognition using artificial intelligence (deep learning).