
Learn strategies for migrating from Snowflake to Databricks, including methodology, technical approaches, automation tools, and best practices. Gain insights from real-world case studies on data, ELT pipeline, and warehouse migration.

Explore AI21 Labs' Jamba: a groundbreaking hybrid Transformer-Mamba MoE model with unparalleled throughput and a 256K context window, revolutionizing large language model development.

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.

Efficient scaling of RAG systems using Spark NLP: pre-processing, embedding calculation, post-processing, and integration with LangChain and HayStack for production-grade LLM systems.

Explore how Bradesco leveraged GenAI to revolutionize processes, enhance customer experiences, and achieve operational efficiency gains while maintaining governance and security through a lakehouse architecture.

Explore the journey of Accelerated AI, from sophisticated models to practical business applications. Learn strategies for data quality, feedback loops, and model refinement to drive innovation and growth.

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 secure AI model sharing across organizations, accelerating training and deployment. Learn about Delta Sharing, Databricks Marketplace, and best practices from healthcare AI leader John Snow Labs.

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 Meta's open-source Llama ecosystem for building cutting-edge generative AI at scale, including latest models, access methods, safety components, and future possibilities.

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 the history of large language models and discover Gemini, Google's advanced multimodal AI. Learn about its capabilities, applications, and potential impact on various industries.

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 Text-to-SQL implementation in large enterprises, focusing on model selection, fine-tuning, and performance optimization for accurate natural language querying in business intelligence contexts.

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