
Explore how Generative AI and new tools can simplify communication, reduce toil, and integrate security seamlessly into engineering processes, moving beyond traditional DevSecOps.

Discover effective tools and techniques to enhance your hematology lab's quality control strategy, ensuring accurate and reliable test results for optimal patient care.

Enhance platform development teams' cyber-awareness through secure coding, network segmentation, and incident response planning. Foster a security-conscious culture for robust cybersecurity practices.

Explore drug quality and safety challenges in the US, examining strategies to address these critical issues in pharmaceutical manufacturing and regulation.

Explore AWS's use of Yocto Project in IoT products, covering software development, integration, and quality assurance for device ecosystems.

Learn essential documentation practices for QHSE SMS systems, enhancing your skills in health, safety, and environmental management.

Explore automated testing with JavaScript and Docker to prevent QA nightmares. Learn tools and techniques for consistent, efficient testing across environments.

Explore challenges and strategies for testing AI applications, focusing on machine learning algorithms, ethical considerations, and ensuring quality in diverse, innovative technologies.

Explore automated test monitoring and reporting for Databricks Runtime using Delta, analyzing results from various sources to track quality and efficiently report failures to owners.

Learn holistic visual regression testing to catch UI issues before deployment, ensuring a polished user experience and reducing frustration from post-release discoveries.

Learn about OWASP's Bug Logging Tool, covering categories like security, functionality, and performance. Explore features such as leaderboards, contests, and payment integration for effective bug management.

Explore tools and approaches for effective QA in open source projects, using OpenStack as an example. Learn about CI systems, testing frameworks, and best practices for improving quality.

Insights from Tony Fadell's career in tech innovation, balancing excellence with respect for tradition. Learn about his approach to product design and entrepreneurship.

Explore QA topics with lightning talks on porting to Python 3 and test coverage metrics, offering quick insights into key software quality assurance concepts and practices.

Yodeck's journey from zero QA to a robust department: strategies, challenges, and successes in building a quality assurance powerhouse from scratch in a fast-growing tech company.

Explore enterprise data engineering principles: schema management, standards enforcement, testing, and automated deployment. Learn strategies for handling change, observability, and quality at scale.

Explore holistic health metrics for ML-based products. Learn where and when to collect data, model, post-model, and business-level metrics to ensure system accuracy and reliability.

Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.

Master enterprise data engineering: schema management, standards enforcement, testing, and automated deployment for scalable, high-quality solutions.

Master enterprise data engineering: schema management, standards enforcement, testing, and automated deployment for scalable, high-quality solutions.

Explore ISO 15189 implementation for medical labs, focusing on quality management systems, risk mitigation, and enhancing diagnostic accuracy to improve patient care and healthcare outcomes.