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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.

Compliance and Risk Management with Data Quality Tools

Compliance and Risk Management with Data Quality Tools

Data drives decisions, so poor data quality can result in costly errors, fines, and reputation damage. Effective data quality tools and processes are key to protecting your organization. They ensure compliance and safeguard against risks. A holistic approach to data quality management is vital for success in today's

Reducing Costs and Improving Efficiency with Synthetic Data

Reducing Costs and Improving Efficiency with Synthetic Data

Synthetic data, created to mimic real-world data, is revolutionizing business operations. It's not just about data creation; it's about developing smart, cost-effective strategies. For instance, generating an image for 6 cents, which would cost $6 from a labeling service, showcases the significant cost savings. Curious about

Comparing the Features of Data Quality Tools

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.

Synthetic Data in Computer Vision

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

How Generative Adversarial Networks (GANs) Work

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

Types of Data Quality Tools: A Comprehensive Guide

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

What is Synthetic Data?

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