AI Solutions and Big Data - L-One Systems
Today applications for AI solutions and the Internet of Things (IoT) make huge data collection processes possible. Both combined allow us to find patterns in data like numbers, texts, and images. In this computers already outperform humans in speed and accuracy.
Applications for Natural Language Processing are becoming increasingly useful for handling big sets of data with written or spoken texts.
Let’s examine L-One can automate processing your NLP data.
What NLP can do for you:
Allow handling of big volumes of data	
Simple sructuring of the data	
Less work/time required	
Easier archive maintenance	
Software solutions involving AI are complex but worth the effort. The process of running data through different models – such as regression, classification, and clustering models, among others – identifies relationships between variables and gain insight from the numbers.
At L-One we look at the data combining the best of both worlds: the power of algorithms as well as the experience of our NLP team.
In mathematics, a Voronoi diagram (→ Wikipedia) is a partition of a plane into regions close to each of a given set of objects. In the simplest case, these objects are just finitely many points in the plane (called seeds, sites, or generators). For each seed there is a corresponding region consisting of all points of the plane closer to that seed than to any other.
How our NLP Team works
In a personal consultation the L-One NLP team analyses which parts of your work process can be digitalized.
We take a deep dive into your structural situation to wholly understand your individual challenges:
Our NLP team will use this concentrated knowledge to frame the solution to your needs.
We involve you in every planning step. You always overlook our transparent development status.
Our goal: The development of efficient NLP software solutions, individually tailored to your company’s specific requirements.
More about the NLP-Team and our Expertise:
In our blog: Sentiment Analysis (SA) is often referred to as Emotion AI. It allows brands to “listen” to biases through AI processes …
In our blog: Handling big sets of data with written or spoken texts has become really useful for companies.