Data Industrialization & MLOPS

MLOps is short for Machine Learning Operations. From Babel’s point of view, it is an emerging trend in the world of data. It is closely related to machine and deep learning models together with process automation.  

Babel’s MLOps services and solutions optimise machine learning operations (MLOps) by bundling them into a set of practices that automate and simplify machine learning (ML) workflows and model implementations by linking ML application development (Dev). With the implementation and operations (Ops) of ML systems and with the aim of efficiently managing the entire ML lifecycle, the implementation and administration of model developments are improved. 

Data Industrialization

As a consequence of the accelerating digitisation of organisations, the industrialisation of data is a core process in the management of large and complex volumes of records, where data has become a strategic and valuable asset for all organisations.

Technological advances and access to large volumes of information have transformed the way companies monetise data. Babel has services and a Centre of Excellence aimed at giving Data Industrialization the real objective of ensuring the reliability, traceability and quality of information, while maximising its value as a strategic asset for the company.

To carry out these activities, we have good practices for good data governance. We promote the fluidity, security and efficiency of the Data Industrialisation process by activating and improving innovative artificial intelligence models, guaranteeing traceability and quality in order to make optimal decisions.