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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.

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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

Data Augmentation Techniques and Benefits

Data Augmentation Techniques and Benefits

97% of machine learning models see a boost in performance with data augmentation. This fact highlights the significant impact of data augmentation on artificial intelligence. By enhancing training data with synthetic enhancements, you can significantly improve accuracy and robustness in your models. Data augmentation is a transformative tool in machine

Building a Data-Driven Construction Company: Skills and Resources for Success with AI

Building a Data-Driven Construction Company: Skills and Resources for Success with AI

Did you know that global construction-related spending tops $10 trillion yearly? This figure highlights the vast potential for AI in construction to transform the industry. The sector faces challenges like safety issues, labor shortages, and cost overruns. Data science for construction is a pivotal solution. Curious about how AI and

Training AI Models with Synthetic Data: Best Practices

Training AI Models with Synthetic Data: Best Practices

The growing importance of synthetic data in AI training and model development is undeniable. As the demand for robust AI solutions continues to surge, artificial data is becoming a game-changer in the field. Synthetic data refers to artificially created information that mimics real-world patterns without using actual observations. It'

The Human-AI Collaboration: How Humans and AI Can Work Together in E-commerce

The Human-AI Collaboration: How Humans and AI Can Work Together in E-commerce

Сompanies using human-AI hybrid work environments have seen a 500% increase in customer service volume without adding staff or time. This figure highlights the transformative impact of human-AI collaboration in e-commerce. In the fast-paced world of online retail, the fusion of human expertise and AI capabilities is transforming business models.