Augmented Analytics solutions & Machine Learning Model Serving

Without requiring data scientists, Datrix AI solutions collect data from internal and external sources, integrate it, look for correlations, uncover valuable operational information, and suggest action. They augment business efficiency and velocity. They are generators of measurable revenue and savings for companies, regardless of their size and resources.

AI for business

  • AI does not replace human intelligence but is a synergistic accelerator of it and must be sustainable.
  • AI is intended to optimize work (by performing repetitive tasks, for example), making it more efficient and faster by leveraging existing strengths and the ability to process different data.
  • The large amount of data and the continuous integration of non-standard information sources, drives companies to demand interpretive and application solutions.
  • The adoption of AI in business activities is closely linked to the increasing spread of digital platforms.
  • The focus has shifted from investments in complex technology stacks (with long implementation times) to the demand for smart solutions with a direct and substantial impact on returns (Return on Artificial Intelligence).
  • Companies are abandoning the idea of the innovation lab for AI and are entering a phase of practical use to support different business functions.
  • Thanks to AI we will increasingly see a process of contamination of disciplines, attitudes, methodologies and industries.

What data we use

Our unique value proposition comes from the structuring in our data lake and from the activation with proprietary algorithms of data with different nature and structure.

The latest generation technological environment on which the solutions of the Datrix Group are based falls into 3 pillars:

  1. Automated ETL (Extract, Transform, Load) process through which data from different sources is collected
  2. Storage in a single scalable Data Lake to standardize all collected data
  3. Execute various types of augmented analytics through Artificial Intelligence (machine-learning, deep learning, NLP, …) and proprietary indicators and methodologies

Augmented Analytics solutions