Success stories

We understand the challenges our customers face within and across these industries. We provide practical, pragmatic and powerful solutions for addressing those challenges. These case studies show those solutions in action.

Case

NXP
R&D, Advise

THE CHALLENGE
The importance of AI is recognized by NXP. NXP’s innovation team comprised intelligent people that had already been spending significant time on the topic, but none of the team had themselves a background in AI. Datamaister provided them knowledge to give a broader spectrum of AI techniques, methods and applications.

THE APPROACH
Datamaister provided a series of workshops, presentations, brainstorm sessions and benchmark tests for NXP.

THE RESULTS
NXP received feedback on what they had done so far, learned of new avenues for exploration and ideas on new implementations.

BUSINESS VALUE
Datamaister’s broad knowledge of AI and ML can help a team to expand and improve their knowledge, methods and projects. 

Case

Biodentify
R&D

THE CHALLENGE
In an R&D setting: using bacterial DNA in soil samples as biomarkers to predict the presence of oil and gas deep beneath the earth. 

THE APPROACH
Due to the imbalance between the number of samples (few) and number of features (many) we needed to define a combination of feature selection and deep learning. Feature selection was used to reduce to computational complexity and several other methods to prevent overfitting on the data.

THE SOLUTION
A combination of feature selection, several deep learning models and stacking resulted in the most robust solutions. 

THE RESULTS
Based on the available data, we delivered models which gave results between 80% and 90% accuracy. Furthermore we proposed an AI architecture which can easily manage new data and steadily improve its results.

BUSINESS VALUE
Creating a test well is very expensive, therefore being able to reduce the number of wells saves a lot of money and effort. 

Case

Client: Large car manufacturer

Industry: Automotive

Goal: Classify fault in paint on cars in factory

Tech: Tensorflow, Keras, feature creation

THE CHALLENGE
Classify faults in car coatings and to automatically label future faults.

THE APPROACH
Discovery workshop with experts. Simplify problem to make it solvable
(from 13 categories to 2)
 

Humans have an error of approximately 20%. Using votes from the experts to create labels. Create baseline solution. Improve solution using Deep Learning. 

THE SOLUTION
The solution of the deep learning methods was the best. Solution implemented the scanning robots. Robots give advice to employees 

THE RESULTS
Reduced classification time and more time for correct labelling. The deep learning method has a 97% correct classification. 85% error reduction. 

BUSINESS VALUE
Cost savings and increased productivity because of the improved classification. Additionally the experts spent less time on the classification thus freeing up time for their other tasks. 

Case

Client: Large employment/recruitment agency

Industry: HR services industry

Goal:Automatically find the best candidates for a certain position

Tech: Solr, Lucene, NLTK, Scikit-learn

THE CHALLENGE
A job position is send to several HR companies. The client wanted to be the fastest to contact high potentials. Many candidates in their database we not recommended.

THE APPROACH
Discovery workshop to determine needs. Interactive creation of mockups. Robolect proposed solutions that the company had not thought possible.

THE SOLUTION
We created a parser to extract the information from resumes. We implemented the feature creation mechanism and trained the system We integrated the solution to the automated sending of messages

THE RESULTS
One second after a job description arrives a ranked list of the best candidates is presented to the recruiter. The recruiter can decides what to do. The recruiters could focus on personal contact again.

BUSINESS VALUE
The increased response time increased the number of vacancies filled, increasing their market share The recruiters can spend more time on their greatest added value: personal contact.

Artificial Intelligence can help you innovate your business case or solve critical business challenges through leveraging the power of machine learning. Combining your business knowledge with our AI expertise, we can find the best way to solve your critical business challenges.
Feel free to contact us for a no-obligation conversation in which we will be happy to inform you further about our consultancy services in the field
of Artificial Intelligence and Data Science.

Empowering your business through
artificial intelligence