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Tatiana Verbitskaya

Tatiana Verbitskaya

Tatiana Verbitskaya is a Solutions Engineer dedicated to solving complex problems. In addition to her client-facing work at Keymakr, she is also an active contributor to the computer vision community.

Machine learning

Comparing the Features of Data Quality Tools

The data tool landscape is vast and dynamic. It encompasses features like data profiling, cleansing, metadata management, and AI analytics. This detailed comparison aims to illuminate the distinctive features of various tools. Data quality management is now a critical necessity for businesses seeking to extract valuable insights from their data.

Data annotation

Synthetic Data in Computer Vision

Unity, a leading game development platform, saved a staggering 95% in both time and money by utilizing synthetic data for computer vision projects. As the demand for robust AI models grows, synthetic data is leading advancements image recognition and other computer vision tasks. By generating artificial datasets, researchers and developers

Machine learning

How Generative Adversarial Networks (GANs) Work

At their core, GANs feature two AI models: a generator and a discriminator. These models engage in a game of cat-and-mouse. The generator aims to create convincing fake data samples. Meanwhile, the discriminator tries to spot the real from the fake. This adversarial process allows GANs to learn and replicate

Data annotation

Types of Data Quality Tools: A Comprehensive Guide

The term "data quality tools" often sparks confusion. Software vendors and experts align their solutions with data quality. However, it's vital to differentiate between tools that aid in data quality and those that actually fix issues. Data governance, data testing, data discovery, data contracts, and data

Machine learning

What is Synthetic Data?

Synthetic data has been taking the AI training world by storm, offering several benefits over real-world data. It's less expensive to create, comes with automatic labels, and avoids the ethical and privacy issues of using real examples. With synthetic data technology, users can generate customized data quickly and

machine learning

Building Smarter Workforces: How AI Can Optimize Construction Worker Safety

In the United States, one in five severe worker injuries happens in construction, as reported by the Occupational Safety and Health Administration (OSHA). Despite technological progress and safety laws, construction remains perilous. Yet, artificial intelligence (AI) offers a beacon of hope to tackle safety issues, labor shortages, and budget overruns

computer vision

Ensuring Quality in Big Data Environments

Approximately 2.5 quintillion bytes of data are generated daily. This staggering volume underscores the critical importance of big data quality in the world. As businesses navigate the complexities of large datasets, the need for robust quality assurance becomes paramount. Big data environments pose unique challenges due to their sheer