Introduce cutting edge AI technologies to your business
Boost productivity with state-of-the-art techniques coming from multiple domains
- Machine Learning, Deep Learning
- Data Science, Network Science
- Natural Language Processing, Speech Processing
Exploit your valuable data by incorporating sophisticated machine learning methods.
We start by studying the company's activities and needs. Identifying all available data, structured or not is key to addressing tasks.
By analysing your data, we realize the current level of the business digital status.
Identifying problem or hidden value
Locate opportunities and gaps that were not considered previously.
Integrate our applied solution powered by AI into your business model.
BLUAI is a Greek company, founded in 2020, in order to cover the needs for new smart business tools. We provide numerous solutions for task-specific problems as well as general AI tools which can automate routine processes.
Translate websites or documents with state-of-the-art machine translation systems.
Classify and sort automatically your documents to categories.
Detect possible future failures of machines based on sensor data.
Locate and identify named entities in unstructured text.
Summarize your meetings and documents to meaningful notes.
Detect events and trends real-time in data streams.
Our current projects involve large public institutions and universities.
Medical Knowledge Extraction via Word Embeddings
Knowledge Extraction based on Natural Language Processing coupled with advanced Artificial Intelligence techniques offers a clear benefit to retrieve and exploit information available in medical raw text data. Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP) allowing text mining, reasoning and ontologies development from scratch. In this project, we review state-of-the-art approaches for word embeddings (WE) applied to medical terminologies, showing the current advances and limitations of the prevalent techniques for the French language.
Machine Translation for Medical Terminologies
Medical terminologies resources and standards play vital roles in clinical data exchanges, enabling significantly the services’ interoperability within health national information networks. Health and medical science are constantly evolving causing requirements to advance the terminologies editions. In this project, we focused on translating medical terminologies with machine translation techniques.
Our paper work has been accepted for presentation at the 11th International Workshop on Health Text Mining and Information Analysis (LOUHI), colocated with EMNLP 2020. You can find the published paper here: LOUHI paper
Frequently Asked Questions
We answer some of the most frequently asked questions regarding our proposed solutions.
Where can Machine Learning(ML) be used?
ML can be used for:
- recommending products or services via recommendation systems based on user behavior
- predictive maintenance, where detecting possible future failures of machines based on sensor data,
- demand/prices/consumption prediction based on historical data and other variables
- fraud detection: detecting fraudelent and suspicious transactions
Where can Natural Language Processing(NLP) be applied?
NLP can be used for numerous tasks like: automatic summarization of texts, automatic notes from spoken language, bots analyzing the content of e-mails and replying to chat messages, Recommendation of similar documents based on their content, Automatic opinion analysis about a product based on reviews posted in the Internet
How do you provide your services?
We build our plan depending on your needs and requirements. Together with your company we design a customized solution to address your task.
Send us your ideas and we will work together to bring AI to your business.