MIM Solutions

We got awarded with Rookie of the Year!

We are excited to announce that we were chosen one out of ten of the most promising start-ups by My Company Polska magazine, Amazon Web Services (AWS) and Vestbee. Thank you for believing in us and in our ideas!

Ula Sankowska will take part in the largest technology conference in Central and Eastern Europe - Infoshare in Gdańsk.

She will participate in the discussion “A woman in the technical panel: Does technology have a gender? Being a woman in a digital world.”

We are very curious about results of this panel.

MIM Solutions with Orły Innowacji Rzeczpospolita Award!

We are pround to announce that we got honourable mention in the Startup With Potential Poland-World Project category. We were awarded for our femtech projects FOLLISCAN and EMBRYOAID.

Moreover we received a special award in the sixth edition of mentoring program InCredibles by Sebastian Kulczyk.

In her newest interview for Just Geek IT Ula Sankowska talks about the most important topics for us - and

„Czasem polska myśl technologiczna wyprzedza tę zza oceanu” – wywiad z Urszulą Sankowską wywiady·7 min read„Czasem polska myśl technologiczna wyprzedza tę zza oceanu” – wywiad z Urszulą SankowskąAleksander Piskorz·21 września 2022 Urszula Sankowska na co dzień pracuje w MIM Solutions – polskiej firmie specjalizującej się w gałęzi MedTech. To właśnie tam Ula rozwija...

Our COO, Ula Sankowska, will join the Infoshare 2022 conference (6-7th of October)!

As it's the biggest tech event in CEE, it'll be a great opportunity to share MIM Solution's experiences with a bigger audience as well as promote the use of in modern .

If you want to join the Infoshare 2022 conference, we encourage you to use the "IS22-10-UlaSankowska" code while registering. You'll get a 10% discount!

▶️ More info: https://bit.ly/3JgdSS3

How to promote the achievements and experience of Polish companies outside our country?

MIM Solution's CEO, Piotr Wygocki, may have a couple of answers to this question. He will present them during the panel discussion of the GRAI conference – an annual event focused on insights, best practices, and recommendations from the area. Other panelists will include Jaroslaw Królewski from Synerise and Piotr Mieczkowski from Fundacja Digital Poland.

▶️ The event will be held entirely online – you can register and join the livestream at: https://forms.office.com/Pages/ResponsePage.aspx?id=VYfPqbinTUu6u3BXhoyVY5Yhl0EcdXFFkeddXMCqUDRUMEZTOERIMDhZODVHQklSSEdXRk1DMkhUWS4u

As August reached its midpoint, it's time to recap the most important , , and news from the past weeks!

This time, we listed articles from such sources as ScienceDaily, MIT, AINews, TechXplore, and Femtech Insider.

1⃣ Major step forward in fabricating an artificial heart, fit for a human: https://www.sciencedaily.com/releases/2022/07/220708123626.htm
2⃣ AI model recommends personalized fonts to improve digital reading, accessibility: https://techxplore.com/news/2022-08-ai-personalized-fonts-digital-accessibility.html
3⃣ This week's femtech news: https://femtechinsider.com/newsletter-20220811/
4⃣ US federal court upholds ruling that AIs cannot patent inventions: https://www.artificialintelligence-news.com/2022/08/08/us-federal-court-upholds-ruling-ais-cannot-patent-inventions/
5⃣ New algorithm aces university math course questions: https://news.mit.edu/2022/machine-learning-university-math-0803

The term was first coined in 2016 by entrepreneur Ida Tin. In the course of just a few years, it has grown to encompass a range of technology-enabled, consumer-centric products and solutions.

As FemTech is still in its still early days, this is changing – more and more femtech companies are emerging in Poland and worldwide. Certainly, the industry has great potential and, as the scale of innovativeness of tech companies increases, the number of femtechs will also grow. When we take a closer look at the numbers globally, there is a clear positive trend for the MedFemTech market.

• The FemTech market was valued at $18.7B in 2019 and is predicted to reach $60.1B by 2027, with a compound annual growth rate (CAGR) of over 15.6%. However, the industry remains underestimated.
• Over 1,500 companies have been classified as , categorized into 14 subsectors and 8 aggregated subsectors by application. Of the total market, disorders treatment is the largest one.
• Forecasts for the global market value predict growth from $14.27B in 2020 to $15.74B in 2021 at 10.3% (CAGR). And long-term projections estimate that the market will reach $21.7 billion in 2025 at a CAGR of 8%.
• According to WHO, 15% of the world's population suffers from (186 million individuals have infertility globally), and this number is constantly growing.

We believe that FemTech - or women's in general - can do much to help catalyze positive social change across the entire healthcare ecosystem and beyond.

It is with great pleasure that we would like to announce that another leading Clinic joined our International Research Initiative which aims to develop artificial intelligence (AI) algorithms in embryo assessment: EMBRYOAID software.

We are very happy that Alpha International Fertility Centre in Malaysia has recently joined our Project and committed to sharing their anonymized dataset of embryo images.

Alpha International Fertility Centre (AFC) is set up and run by leading doctors and embryologists responsible for numerous fertility firsts both in the region and worldwide.

This purpose-built advanced center located in Selangor, Malaysia is equipped with the latest full range of options including PGD, Ma-CGH, NGS, Egg Donation, Egg Banking, and Embryo Freezing using revolutionary freezing technology.

Looking forward to our fruitful cooperation!

Would you like to know more on how to improve effectiveness using ?

Adam Gabriel Dobrakowski, our Data Mining Expert, wrote a blog post about how MIM Solutions has increased profits from our client's marketing campaigns by over 50%.

In the article, you may explore all the steps on how to be more efficient, which are: studying the curve of daytime traffic on pages with ads, separating several page groups with a similar traffic curve, and turning off the least profitable pages.

▶️ You can check all the details in our blog post: https://www.mim-solutions.ai/en/how-to-improve-digital-ads-effectiveness-using-artificial-intelligence/

Did you know that over 50% of businesses already use applications to make data-driven decisions?

Moreover, 8 out of 10 employees believe improves their productivity, while nearly 68% of them would like their employers to deploy more AI-based tools. In their opinion, it's an opportunity to finally work smarter, not harder.

Therefore, to celebrate , we encourage you... to let your brain rest for a while. AI-based algorithms will allow you to relax by supporting your everyday decisions without harming productivity!

It's time to check MIM Solution's work from the inside!

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 models need not only positive but also negative events to be able to estimate the probability of a positive event correctly.

These could be items not bought by a user during his visit to the store (despite having a chance to buy them) or that the user saw but did not click on. In some projects, there are so many negative events that processing all of them is too time-consuming. In such situations, we use negative event sampling, i.e., selecting a random subset of all potentially available negative events.

In this strategy of building a training set, you have to watch out for several traps:

• It is essential to avoid selecting a negative event with an identical positive event.
• You have to draw from the complete set of available negative events but avoid, for example, contradictory data to be added to the training set, e.g., the purchase of a product that is unavailable on a given day or a purchase from a brick-and-mortar store that was closed that day.
• When distinguishing good product recommendations from average product recommendations, you should include good and average recommendations in the training set in the randomly selected events, not good and bad ones. We used this strategy on the occasion of the Recsys 2016 competition:https://arxiv.org/pdf/1612.00959.pdf

If model predictions are used as accurate probability estimates, for example, to calculate expected revenue from an ad impression, the model predictions need to be recalibrated.