Turning a lot of tedious, repetitive tasks into automated processes with high added value is not a thing of the future, it’s here today. At CN Group, we can increases your competitiveness and reduce cost and time by using highly innovative Machine Learning (ML) solutions.
From an idea to a production ML solution
Developing software products is hard, assing ML into the mix is sometimes even harder due to its research related development process. To overcome this obstacle, we work on validating ideas and solving big challenges through prototyping and testing those ideas with customers through a process called Design Sprint (DS). After that, we use DevOps methodology to deliver production ready ML solutions. As data is essential to ML, we always provide guidance so you understand what data is needed and how to collect or eventually create it through simulated processes.
Our engineers work with computer vision, audio signals and sensors to extract insights and deliver action to turn your manual process into an automated ML solution.
To turn your business ideas into ML solutions, we adopted the DS method used in rapid prototyping. After defining the goal, we utilise automated tools to help us search for the most capable ML model from a range or from different architectures. An integral part of any solution is testing the prototype model and its deployment.
Developing a ML prototype is one thing, whereas efficiently managing the entire ML lifecycle involves entirely different aspects and challenges. From startups to large organisations, we deliver AI solutions with strong automation that enable rapid iteration cycles, model monitoring, as well as retraining the capabilities that any robust ML system needs to incorporate.