It ranges from machine learning models capable of aggregating data or estimating numerical values, to generative models that can generate texts, sounds or images. While AI solutions have been present in business for more than 10 years, recently there has been a breakthrough that makes it even faster and easier for business to adopt AI.
A model for segmenting images with a single
click. It presents a pioneering ‘zero-shot’ solution in which the
model does not need to be trained on a particular type of object to
effectively perform segmentation.
How does AI accelerate business?
modern algorithms allow us to work with unprocessed, raw data. It is possible to create effective machine learning pipelines even without having labeled and structured data at the input.
machine learning makes it possible to perform analysis even on very complex data, describing various business processes.
it became possible to combine data in different formats and even from different domains to deliver valueable insights on specific problems. We can deliver insights from texts, images and audio.
many of machine learning algorithms and tools can be deployed locally, ensuring data privacy and allowinng explainability.
AI – Use Cases
Sensing the attitudes and anticipating the actions of customers:
Generating personalised recommendation content:
Synthesising data in texts, images, videos and sounds:
By analysing your business goals and requirements, we can help you choose the right tools and path to implement AI. We focus attention on both processes and technology.
Minimum Viable Product, i.e. a prototype solution. It allows you to quickly, and at low cost, verify your objectives and confirm how to implement your target AI solution on a full scale.
If you already have a validated model, for a full-scale implementation, certain quality, reproducibility and predictability of your ML or AI model’s performance must be met. We can implement MLOps, i.e. the learning process, the dataset requirements as well as the processes for training, verifying, retraining and assessing the quality of the model.
Wybrzeże Gdyńskie 6A
01-531 Warsaw
