Many marketing and advertising experts are certainly permanently looking for the most cost-effective solutions for their on-line advertising campaigns to be more competitive on the market. Agencies and media operators are responsible for their clients’ marketing campaigns. They have to rely on measurement to optimize many campaigns’ metrics such as ROI, CR or profit. However, manually going through multiple campaign statistics can be very ineffective. Moreover, it is not possible to ensure by the human operators that the campaigns remain profitable on all domains, as this requires combining knowledge of many different statistics. The biggest challenge is that there are

When obtaining information from our clients, we often receive access to data consisting only of positive events, e.g. a list of items purchased by each user or clicked ads. Many machine learning models need not only positive but also negative events to be able to correctly estimate the probability of a positive event. These could be items not bought by a user during his visit in the store (despite having a chance to buy them) or ads that the user saw but did not click on. In some projects, there are so many negative events that processing all of them

Thanks to the rapid development and remarkable efficiency of Artificial Intelligence, modern healthcare more and more often uses innovations related to this technology. We’ve recently mentioned our #femtech projects from the infertility treatment area and several other use cases, but what about other notable examples of the use of artificial intelligence in medicine? AI helps doctors to scan blood for harmful bacteria. In Beth Israel Deaconess Medical Center healthcare professionals use special, AI-enhanced microscopes and “make them learn” how to identify infections in the blood sample. Their accuracy of predictions reaches 95%! Modern technology is currently indispensable in drug discovery.

There is no such thing as one, universal template for every type of legal contract. These kinds of documents are required in so many institutions and cases that it is impossible to rely on one model paper. Moreover, as tax and insurance law is getting more and more complex, it is increasingly difficult for tax offices or insurance institutions to prepare individual documents for every instance. Thus, in collaboration with Pergamin, a startup specializing in handling eContracts, we developed a tool for automatic semantic analysis of legal contracts. It aims to help Pergamin in the creation of legal contract templates

Few weeks ago MIM Solutions team got a cool news that one of our paper was accepted to International Conference on Machine Learning (ICML 2021). The paper has an interesting story behind which would not happen if we did not keep our minds open. More than a year ago, we were working on a more general solution to a parametric flow problem. Previously only very special cases have been solved efficiently. At first sight this does not seem to have anything in common with decomposable submodular function minimization. However, later on we realized that this was the missing step in

Problems with machines, devices and possible failures can affect the condition of any company. These troubles not only disrupt your workflow but can also have financial and market implications. Therefore, it is essential to predict and monitor any minor issues that could turn into major damage. The good news is that all of this is possible with the help of Artificial Intelligence. As MIM Solutions we created Alert.MIM Platform – predictive and monitoring system for companies. Based on the data on the condition of machines and devices as well as the course of processes, we create models that allow predicting