Nordicsolutions

The gate to smart data

Machine Learning is a computers ability to learn and improve and is achieved through machine learning algorithms. Machine learning algorithms can be used in many different cases, fx. to beat professional chess players or e-gamming players or in our case find workflow patterns that are inefficient or unproductive.

WHAT

Sydney Opera House

We use machine learning to improve workflows, It learns how you and your teamwork in best practice, and in the process create new ways of working so that the team has more time for value-based work. Machine learning is for example used to track irregularities in the production chain, suspicious transactions or personalized product recommendations

WHY

Sydney Opera House

Machine learning enables you to handle and process huge amounts of data, on an intellectual level. It is simply not funnelling data from A to B, but learning and adapting on the way. This makes your automated processes more intelligent and thereby integrating some of the humans most prized abilities, inductive and deductive thinking.

HOW

Sydney Opera House

We use an array of different modules based on machine learning in our development of process operations. This can be everything from a small model in a larger software robot to software that is entirely based on machine learning. The choice is case dependent, and modules are typically implemented when we have validated your data and ensured you dataflow through intelligent integrations and RPA’s.

Machine learning tools we use

Knime
Accord.net
Scikit-Learn
TensorFlow
Weka
Pytorch
RapidMiner
Google Cloud AutoML
Jupyter Notebook
Apache Mahout
Azure machine learning studio
MLLIB
Orange3
IBM Watson
Pylearn2

TensorFlow is our main tool when building machine learning into workflows