Tatiana Verbitskaya

The rapid growth of online gaming has transformed it into a global social space where players frequently communicate, collaborate, and create shared narratives. However, like any online space, it faces challenges: offensive messages, hate speech, harassment, and misinformation. A safe space is the foundation upon which virtual communities must primarily

Next-generation routing systems combine two data streams: annotated aircraft location information and hyperlocal weather models. Modern aviation thrives on precision. By enriching ADS-B transponder signals with meteorological context, airlines gain tools for real-time decision-making. These systems analyze everything from wind shear patterns to congested air corridors, allowing route recompute in

Today, geospatial AI is actively transforming the approach to analyzing satellite and aerial imagery, opening up new opportunities for the aerospace industry. Computer vision (CV) technologies enable the automatic detection, classification, and tracking of objects with high accuracy, a capability that previously required significant resources and manual intervention. Thanks to

Telecom networks generate vast amounts of data daily, yet few operators fully leverage this information for automation. This results in fragmented systems, holding critical analytics in silos, and leaving networks reactive instead of predictive. Modern networks require intelligence that spans operations and business. Traditional approaches fail to meet customer expectations

The rapid expansion of 5G networks brings new opportunities for ultra-fast connectivity, but achieving consistent performance requires precise optimization. AI-powered data annotation enables operators to process massive volumes of network telemetry, turning raw data into actionable insights. By applying accurate labeling to critical parameters such as network slicing, beamforming, quality

The energy sector is increasingly driven by the ability to collect, structure, and analyze vast operational data streams. Utilities and renewable energy providers rely on AI to convert SCADA logs, smart meter data, and other sensor readings into actionable insights. Properly structured datasets allow operators to anticipate issues, optimize generation,