Machine Learning engineering

Machine Learning engineering is a process of creating complex systems that leverage data to become smarter and more efficient. According to O’Reilly, 51% of companies claim they are in some way utilizing the capabilities of machine learning in their businesses. Although these numbers seem slightly exaggerated, there is an undisputable trend towards massive adoption of the technology. 

Silk Data designs, builds, and implements custom machine learning solutions and smart applications, targeted at solving a wide range of tasks and creation of lasting competitive advantages for companies. We develop ad-hoc algorithms while using established frameworks and home-built training models to deliver high-quality end products. Whether you have your own data or use a publicly available dataset, our experts will help to choose the appropriate methods or models to meet the requirements of the project, with no compromise on quality, security, and speed.
 

Natural Language Processing (NLP) opens enormous opportunities for businesses by letting computers understand and interact with human language, written and spoken. Our NLP expertise, acquired over the years of research & development, allows us to develop intelligent software that can understand, analyze, and process texts in natural languages, at scale. Companies can benefit from our pre-built NLP cores which allow them to save funds and start promptly, moving straight to customization and enhancement on custom data. NLP-based solutions developed by Silk Data are utilized by companies in education, publishing, research, finance, insurance, and other sectors.