Discover Machine Learning
Recent developments in AI make it possible for the computer to understand images, text and real-world data – exposing it to a broader range of problems it’s able to solve.
Different than the regular software
A traditional computer program is expressed as a set of rules, just like a cooking recipe.
The software architect collects requirements, then the engineers design efficient algorithms (rules) to develop a system fulfilling these requirements.
Most business software you use was created this way.
ML learns by examples, not by rules - just like us, humans
Not all problems can be solved this way. Some programs, like recognizing a person on an image, would have an impossibly complex and difficult set of rules for a human to write.
With Machine Learning, a set of examples (like photos of a person with a person boundary marked) is provided along with a program source code.
A model instead of source code
During the training phase, the training algorithm employs statistical reasoning to look for commonalities between the examples and builds a generalized idea of its task.
This way a model is computed.
After training, the model can be used on new data (e.g. spotting new humans on pictures).
Machine Learning development
process - step-by-step
Wondering what it takes to develop software with the use of Machine Learning?
Let’s quickly review the necessary steps.
Evaluate if Machine Learning can help your use case
Together we gather requirements and evaluate if an AI can help optimize your processes. Alternatively, if you have a project in mind already, we discuss ways of working together.
Duration: 1-3 weeks
Work iteratively to reach a mature, production-grade stage
After the evaluation phase, we are ready to work together iteratively. We will work over several milestones – together with your team – to refine the system’s effectiveness in solving its task.
Duration: 5+ months
Develop a proof-of-concept solution
Although no good project gets done overnight, we can build a prototype solution demonstrating the power of AI relatively fast.
You will also get a detailed long-term plan to reap benefits from the AI investment.
Duration: 4-6 weeks
Perform extensive security, performance and accuracy testing
Machine learning almost always means handling sensitive information. As a last step, we extensively test the application’s security and prepare it for a launch. We also evaluate corner cases.
Duration: as required
