AI & BigData

welcome to the data era.

Today, data has become a major resource for the economic and competitive development of companies. A vast technological ecosystem has been developed to build, store and exploit large sets of heterogeneous, mass-generated data.

The possibilities of use seem almost unlimited: customer knowledge, process optimization, service innovation, predictive maintenance, etc. In all sectors, the race to make the most of data is underway, causing business models and consumption habits to evolve at high speed, with a number of new organizational, legal (GDPR, medical data), and technological challenges.

This explosion of data also fosters the deployment of Artificial Intelligence (AI) technologies that use very large volumes of data to produce real-time analyses, classify or recognize complex configurations and patterns. AI now provides high-performance tools for decision making or task automation, with a very wide range of applications: computer vision, natural language processing (NLP), knowledge management, detection, identification, diagnosis, etc.

creativity & innovation

ausy offers personalized support with the aim of analyzing existing solutions and assessing customer challenges in order to shape the future.
implementing smart solutions

implement intelligent solutions to increase the efficiency and productivity of processes, to do things better, faster and cheaper with an ethical and responsible approach.
mlOps: from best practices to a working method

throughout the algorithm development cycle, our experts apply best practices and take into account the project environment to ensure proper production.
data driven company

ausy helps you implement your data management strategy and industrialize your models. Establishment of organization for data management.
technological choices

ausy brings you its expertise to define the technical framework and the evaluation of the relevance of the cloud in your context.
DataOps: from best practices to a working approach

in order to facilitate the use and access to your data while optimizing the processing and analysis cycle, our teams apply the DataOps methodology throughout the project from data pre-processing to reporting.

“Artificial intelligence” (AI) has become a buzzword in many technology-related communications these days. Autonomous cars, autonomous buses, autonomous planes, drones, robotics, traffic management, smart city, predictive maintenance, etc. are few things that are alluded to when talking about AI. It seems futuristic, although it may be surprising to find that AI is already part of the past and present, and that we are surrounded by it in our daily lives.