Sign in

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

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

Data annotation

Building a Career in AI Finance: Skills and Resources for Success

23% of jobs are expected to change in the next five years. This statistic from the Future of Jobs Report 2023 underscores the pressing need for professionals to adapt. Especially in the rapidly evolving field of AI finance. As artificial intelligence reshapes the finance industry, your career growth depends on

Future Trends in Data Quality: AI and Machine Learning

Future Trends in Data Quality: AI and Machine Learning

80% of executives believe generative AI will transform their organizations, yet only 6% have production applications in place. This gap between expectation and implementation underscores the pivotal role of data quality in the AI revolution. As we explore the future of data management, it's evident that artificial intelligence