# Data Quality vs Data Control: Why AI Demands Controls

**Gorkem Sevinc**  
CEO & Co-Founder  
May 19, 2026  
7 min read

# The Data Quality Maturity Model: Moving from Incident Response to Proactive Data Trust

**Gorkem Sevinc**  
CEO & Co-Founder  
Mar 19, 2026  
10 min read

# Top Data Quality Trends for 2026: Data Trust in the Age of AI

**Gorkem Sevinc**  
CEO & Co-Founder  
Mar 5, 2026  
8 min read

# Harnessing The Power Of Scale And Security  
Explore Qualytics deep integration with Apache Spark and its full compatibility with Databricks’ next-generation Spark engine, Photon.

# How Navy Federal Credit Union Could Have Avoided A Disparate Impact Disaster  
Analysis of Navy Federal Credit Union data quality incident, examining root causes, business impact, lessons learned, and best practices for prevention.

# Navigating The Future With Generative AI  
Strategic perspective on evolving data quality landscape, emerging trends, AI integration, and future directions for enterprise data management.

# The Philosophy Of Separation  
Architectural philosophy explaining Qualytics' design principle separating compute from storage, enabling flexible deployment, scalability, and integration with existing data infrastructure.