Competentum Data Mining, Artificial Intelligence and Machine Learning

DATA SCIENCE, ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Applying artificial intelligence (AI) and data science in education is perhaps the most important trend in the EdTech industry in recent years. The Competentum team has extensive experience developing machine learning (ML) models for various educational applications (natural language processing, speech and image recognition) and building effective big data systems designed for several million users.

AI for Automated Content Generation

AI for Automated Content Generation

Competentum uses a wide range of natural language processing models (Deep Neural Networks, Word Embeddings, Topic Modeling, Thematic Ontologies) for automated content generation in STEM disciplines. While minimizing manual work, this approach reduces high costs and improves the efficiency of the content development.

Neural Networks for Assistive Technology

Neural Networks for Assistive Technology

Competentum builds innovative solutions for speech and image recognition using a complete stack of modern technologies, including deep recurrent neural networks (RNN) and convolutional neural networks (CNN). Along with the other machine learning models, these technologies allow us to enhance our clients’ platforms with accessible features (text-to-speech, voice and handwriting recognition) for people with disabilities.

Big Data Systems & Large-Scale Processing

Big Data Systems & Large-Scale Processing

Competentum excels in the development, construction, maintenance, and testing of databases and large-scale processing systems. Our team developed its own product, ShareKnowledge – the first corporate LMS built on SharePoint.

ShareKnowledge utilizes the most beneficial and effective data mining and analytics to improve the educational process, formulate recommendations for teachers and students, and support a very wide range of educational scenarios. In custom projects, cloud solutions were developed for more than 4,000,000 users.

Such systems allow tracking of how students use your content by providing content statistics, student engagement reports, learning outcomes, and cheating detection. Data may be visualized for the teacher and admin dashboards as well as for content error detection.