Machine Learning (ML) used to be the subject for niche academic mathematicians alone. Today, however, machine learning algorithms power a significant proportion of global companies' business operations – from fintechs using ML predictions for managing risks and spotting investment opportunities, through supply chain companies relying on machine learning to optimize logistics processes, to medical establishments…
Data Science & AI/ML
The field of software engineering is witnessing its most dramatic change since the advent of the internet age. The era of utilizing artificial intelligence (AI) as mere advanced autocomplete inside a text editor is finally dead. Among software engineers in the United States tech industry, the entire workflow has shifted to autonomous agents and agentic…
Today, in the world dominated by digital technologies, such buzzwords as "Artificial Intelligence" and "Machine Learning" are actively used during the presentations and commercials of US companies' boards, in articles from the press. Usually, people use them interchangeably when referring to any kind of innovative technologies. This, however, is a serious misconception of the actual…
The current technology scene is experiencing a revolution of sorts. With AI automating an increasing amount of boilerplate coding, what is in demand in today's environment is solely the ability to optimize, scale up, and enhance data processing efficiency. In this regard, companies do not want to hire people who know how to use programming…

