Modernizing Database Testing: From Manual SQL to Intelligent Automation

Modernizing Database Testing: From Manual SQL to Intelligent Automation

Join us for an insightful one-hour session on transforming traditional database testing using AI and automation. We'll explore how modern tools and practices can revolutionize SQL testing workflows, moving from manual processes to intelligent, automated solutions.

In this session, we'll cover four key areas: AI-powered synthetic data generation, Natural Language to SQL automation, AWS Bedrock and Redshift integration for intelligent testing, and the use of GenAI knowledge bases for unstructured testing data. Learn how these technologies work together to create efficient, scalable testing frameworks.

This session is particularly valuable for Database Engineers, QA Teams, Data Architects, and DevOps Engineers who want to streamline their testing processes and leverage the latest in AI automation.

Speakers:
Brigette Bucke
Patrick Santora

Brigette Bucke is a technology leader with 15+ years of experience helping organizations succeed with cloud and AI solutions. She specializes in making complex technology changes work in the real world, with particular expertise in Generative AI, data management, and organizational change. Drawing from her work across education, government, healthcare, financial services, and marketing sectors, Brigette shares practical approaches to digital transformation. She brings a hands-on perspective on how organizations can effectively adopt new technologies, manage change, and build successful AI programs. Her straightforward style helps teams understand and act on technology opportunities.

Pat Santora is a GenAI Labs Cloud Architect and Technologist with over 25 years of experience implementing solutions across the cloud for both enterprises and startups. He has successfully launched numerous products from inception, led analytical re-architecture projects, and managed remote teams with a philosophy centered on transparency and trust. His technical expertise spans strategic planning, systems management, and architectural redesign, complemented by interests in GenAI, Analytics, and Big Data.