Valentine’s Day is for expressing affection. So fond thoughts and warm words are coming from me your way!

by Alexey Maltsev

by Anna Mosolova

Coronavirus brought a lot of changes in our everyday lives affecting all its sectors. New restrictions, protective measures, widespread lockdowns, and mass quarantines had an enormous impact on the industry. In a time when people’s work should be limited and the remaining employees’ activity is to be optimized to the maximum extent, AI is there for you to help with various natural language processing (NLP) tasks. …

by Viktoria Kondrashuk

Keywords:

COVID-19, MANUFACTURING, PRODUCTION PLANNING, COST OPTIMIZATION, LABOR RESOURCES MANAGEMENT, ENTERPRISE RESOURCE PLANNING, ERP, CONVEYOR LINE, AUTOMATION.

Description of the Business Problem. Why Does It Matter?

The pandemic of the COVID-19 virus has affected many sectors of the economy. According to research by the Institute for Supply Management, the manufacturing sector contracted in April 2020, as the Purchasing Managers Index (PMI) registered 41.5 percent, 7.6 percentage points lower than the March 2020 reading of 49.1 percent. The PMI recorded its lowest level since April 2009, when it registered 39.9 percent. The 7.6-percentage point decrease in the PMI is the largest one-month decline since a 9-percentage point decrease…

by Viktoria Kondrashuk

Keywords:

COVID-19, PRODUCTION, MATHEMATICAL OPTIMIZATION, SCHEDULE PLAN, SCHEDULE THEORY, SCHEDULE COMPOSITION, COST REDUCTION, LABOR ORGANIZATION, MANAGEMENT OF A PRODUCTION ENTERPRISE, CONVEYOR LINE, AUTOMATION.

Description of the Business Problem. Why Does it Matter?

This year, the entire world business has faced another crisis; this time was caused by the outbreak of the global pandemic of the new virus COVID-19. The consequences of the virus will affect businesses for many more years and are comparable to the Great Depression or the global financial crisis of 2007–2009.

We discussed working under COVID-19 conditions with business executives to find out what problems production companies faced and how quickly they were able…

by Anna Mosolova

The crisis provoked by the coronavirus affected the majority of sectors of the economy. However, some companies not only didn’t experience such a problem, but they also gained profits from this situation because of the enormous increase in demand. One of these industries is educational technologies.

Self-isolation and quarantine made people change their educational routines. Primarily students but other persons interested in studying were required to stop attending classes and start taking their courses online. This jump significantly increased demand in the sector of online education. Simplilearn now is serving 3 million users all over the world…

by Olga Proka

About preprocessing on the fly challenges

Image data in the real world is usually not in a form that can be directly fed into a neural network.

The amount of high-quality data is often limited. A popular solution to this problem is augmentation. Usually, we should preprocess the data: change the format, remove any defects, align, resize and do other preprocessing actions. Arguably, the most popular tools, in this case, are OpenCV and Pillow because they are very flexible. For example, OpenCV contains more than 2,500 optimized algorithms, including a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms.

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COVID19 is a big world problem today and in this difficult time and we must be calm and turn to science. Data Monsters are staying home and learning predictive analytics tools about the spread of the virus. High-quality predictions are very important and helpful for the healthcare system because it helps to resolve how many resources must be dedicated to different regions, states, and countries.

So, how we can predict the count of the infected people tomorrow?

The main parameter Δ_(d+1) is the increase in new cases of infection on the new (d+1) day. …