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          Artificial Intelligence

          CROZ AI focuses on helping enterprise clients bring more cognitive automation based on AI into their business processes.

          When AI Takes Over

          AI and machine learning can augment and enrich the great work that is already happening inside many different business organizations. Our mission is about helping our clients achieve that - all the way from AI opportunity identification to technical implementation.

          When AI Takes Over

          Building AI Capabilities into Enterprise Software

          We all know building custom software products for enterprise organizations is challenging. Adding AI into the mix, makes it even more complex. In the first step, you will identify the opportunities for applying AI within your business processes. Then the job of designing and building the right ML-based technical platform starts. And it is always combined with understanding and providing all the necessary data and integrations along the way.
          We have built just the right mix of people, tools and methods to guide you through this journey.

          AIOps - Using AI and Cognitive Automation in IT Operations

          Modern hybrid systems are in no way easy to manage and monitor. Vast amounts of operations data are generated, and making sense of it can be challenging. This is where AIOps steps in. It is about using AI to enhance IT operations processes.
          CROZ AIOps platform uses advanced machine learning techniques to enable early detection of anomalies, root cause analysis and predictive analysis. Effectively, this helps reduce the amount of human work in analyzing events and managing thresholds.

          MLOps - Machine Learning Operations Consulting

          The use of machine learning in software development adds some complexity to traditional software release cycles. With new artifacts and new roles, there is a need to automate actions and build pipelines, just as we do in traditional DevOps lifecycles. The ultimate goal is to make MLOps a first-class citizen within the standard CI/CD practices of the organization.
          Building on top of our general experience in DevOps and automation, we can help our clients design and build the MLOps practices for their specific projects and needs.

          Technologies we use

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