
Explore federated learning with Flower framework. Learn AI training across devices, enhancing privacy without centralizing data. Includes hands-on tutorial and insights into reshaping AI while protecting sensitive information.

Explore ML-powered data cleaning techniques to streamline AI pipelines, automate labor-intensive tasks, and overcome impediments in data preparation for efficient data science workflows.

Explore practical and legal aspects of applying machine learning in healthcare, including data challenges, algorithm development, and ethical considerations.

Explore a multi-stage framework for generating synthetic data from aggregated sources, focusing on downscaling techniques and real-world applications in data privacy and model performance improvement.

Discover effective strategies to protect merchants from scams, social engineering, and friendly fraud while building customer trust through robust security measures and prevention tactics.

Explore a 6-year journey of cultural transformation in security, focusing on shared responsibility, adapting to regulations, and overcoming challenges in vulnerability management.

Explore unconventional tactics for online safety, including using fake aliases and misinformation. Learn how to protect yourself from digital dangers and strengthen your privacy in today's interconnected world.

Interactive session exploring recent cyber court cases, their impact on firms and professionals, and practical steps to minimize future liability and loss.

Retired Windows developer explains major TCP/IP IPV6 network stack exploit, discussing implications and China's new cybersecurity laws affecting zero-day exploit discovery.

Explore Databricks' serverless compute isolation techniques, including defense-in-depth strategies and multi-layered security measures to minimize risks in the intelligent data warehouse environment.

Explore Meta's innovative testing framework using privacy-safe synthetic data for compute engines, enhancing regression detection, test coverage, and release cycles in data warehousing.

Explore Databricks' Default Storage feature for seamless data management. Discover pre-configured storage, built-in security, and Unity Catalog integration for a comprehensive SaaS lakehouse experience with unified data access.

Explore Zalando's journey in adopting Databricks Unity Catalog, overcoming challenges in a large-scale environment with diverse use cases, distributed schemas, and strict regulations to enhance data governance and productivity.

Explore Unilever's journey with Unity Catalog, including challenges faced, production-ready tooling, and new possibilities like Lakehouse Federation and Delta Sharing.

Explore Unity Catalog's open-source journey, its key features, and how it enhances data governance and management in the Databricks ecosystem.

Learn how T-Mobile and Tredence migrated datasets to Unity Catalog, enhancing data management and access control for AI/ML use cases. Discover improved data ingestion processes and centralized governance.

Explore AI's role in sustainable logistics and supply chain management, covering CO2 reduction, efficiency, optimization, resilience, and security from academic and industry perspectives.

Explore AI's role in addressing future supply chain challenges, focusing on sustainability, efficiency, and resilience in logistics management.

Explore techniques for attacking Windows device drivers and potential sandbox escape methods in this advanced security analysis presentation.

Explore practical exploitation techniques for Windows kernel registry vulnerabilities, enhancing your understanding of system security and potential attack vectors.

Explore Windows exploitation techniques, bypassing security measures like HVCI and EDR, with insights on disabling drivers and practical demonstrations.