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Why Comfiz ?

Comfiz positions itself as a machine learning enabler. We develop methodologies and technologies to help organizations build and deploy data-driven services with the agility required to follow the high pace of innovation in machine learning and artificial intelligence.

Comfiz ML

The essence of the Comfiz ML Platform is to help design and manage clean machine learning processes. It gives all ML stakeholders the capacity to work together inside a coherent and stack agnostic framework that eases machine learning projects management (from research and models design to models deployment in production).

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Benefits of Comfiz ML

The Comfiz platform for machine learning helps organizations overcome cultural and technical differences between business teams, data science teams and IT teams. Data science teams can leverage all the potential of open source and cloud-based operations without being locked by a vendor process or technology. They can also cope with high pace of innovation without continuously modifying their machine learning processes.

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For Data Scientists

Raw data stored in data lakes and legacy applications are often of very low value for data scientists when they work on predictive models design. Moreover getting access to huge volume of data is more a drawback than an advantage when data are not stored in a context that help data scientists understand how they can address the business case they try to solve. The Comfiz platform gives them the capacity to work on data sets optimized for machine learning research and designed to facilitate the extraction of high value features for predictive models.

For IT Teams

IT Teams are under high pressure to cope with the pace of deployment of new AI-driven services and answer to the requirements of data science and business teams. The Comfiz platform integrates itself in the existing data infrastructure to ease the deployment of data environments dedicated to AI services implementation. The Comfiz platform also integrates features dedicated to the migration of machine learning models to production, a fundamental step which complexity can be underestimated by data science teams.

For Business Users

Business users have years of domain knowledge and processes and most of the time can bring very valuable insights and intuitions to artificial intelligence problems. The Comfiz platform not only facilitates the cooperation between data scientists and business users but also give non technical managers a way to better understand and trust algorithms.

For Auditors

Regulators and internal auditors need to interact with data science teams to make sure that models can be trusted, deliver consistent results without bias and meet legal requirements. As as single source of truth, the Comfiz dataops platform provides a mean to deploy ml models with a higher degree of transparency and explanability.