
Explore GPU hardware's role in generative AI, AMD's advancements, and Databricks' solutions for scalable model training, deployment, and governance while ensuring data privacy and cost-effectiveness.

Discover how to scale MLOps for high-frequency retraining of 50k models weekly using Databricks, MLflow, and Pandas UDFs. Learn best practices for experiment tracking, code consistency, and handling data volatility at scale.

Explore Mosaic AI's tools for streamlining GenAI application development, deployment, and management. Learn best practices for efficient AI project creation on a secure Data Intelligence platform.

Explore innovative data architecture solutions combining Medallion and Data Mesh patterns to enhance productivity, democratize data access, and ensure scalable, efficient data management in large organizations.

Discover how a financial company implemented RAG to enhance customer service, exploring architecture, data pipelines, innovations, and optimization strategies for transforming operations with Generative AI.

Explore Mosaic AI for efficient GenAI app development on Databricks. Learn design, maintenance, and integration techniques through practical demonstrations to streamline your AI projects.

Explore the design of an AI copilot for data transformation, focusing on unique challenges and solutions to enhance productivity. Includes demos and insights on LLM applications in programming.

Accelerate digital transformation with unified data and AI governance using Unity Catalog. Learn how to manage platform objects, remove barriers, and achieve AI ambitions at enterprise scale.

Learn to create production-ready, high-quality data products using Databricks. Explore lifecycle requirements, challenges, and best practices to establish a trustworthy foundation for AI and data-driven initiatives.

Explore Databricks' Lakehouse Observability approach, integrating tools for monitoring and optimizing data and AI workflows to support scalable, data-driven applications.

Explore latest Databricks Workflows features: enhanced orchestration, run repairs, control flow, scheduling, and Python authoring. Live demos showcase innovations for ETL, analytics, and ML pipeline management.

Explore interoperability between Databricks and AWS for generative AI, covering intelligent document processing, real-time and batch processing patterns, and a live demo of end-to-end offerings.

Explore Tableau's innovations for Lakehouse analysis, including Delta Sharing connector and AI-driven insights. Learn about secure data visualization and future developments in this expert-led session.

Explore key enhancements in Apache Spark 4.0: Spark Connect, Structured Logging, PySpark updates, expanded SQL capabilities, improved connectivity, and real-time data processing advancements for optimized analytics.

Explore recent MLflow features, including GenAI additions, and learn how to optimize machine learning workflows with practical examples and best practices for implementation.

Discover how Comcast leverages Unity Catalog for robust data governance, enabling fine-grained access control, data lineage, and improved collaboration across teams while maintaining agility.

Explore enterprise-grade GenAI app development using MLflow and Vector Search, focusing on data protection, AI deployment challenges, and leveraging proprietary information securely with Databricks tools.

Explore the synergy between Domo and Databricks, unlocking data interoperability and accelerating business intelligence through scalable data processing and AI/ML capabilities.

Discover key learnings from Asana's journey in developing and deploying machine learning features for millions of users, covering modeling, monitoring, scaling, and leveraging Databricks for data science solutions.

Explore how a modern healthcare data lakehouse integrates diverse data sources, leveraging AI and orchestration for improved patient care, risk management, and clinical decision support.

Explore 84.51°'s implementation of Databricks Unity Catalog, enhancing data governance, domain design, and composable architecture for Kroger's retail data science initiatives.