
Explore Databricks' Foundation Model APIs for GenAI projects: access LLMs, image generation, and new features. Live demo shows integration with OpenAI SDK in notebooks for quick idea validation.

Explore Accenture's approach to evolving data and AI roles, circular pathways, and the changing landscape of data platforms. Learn about new skills needed for data architects and governance experts in the era of generative AI.

Discover Deloitte's Automated Workflow Monitoring solution for Databricks, offering streamlined tracking of data engineering pipeline statuses with minimal overhead and a simplified view, built on Databricks' SDK and SQL dashboards.

Explore DraftKings' real-time ML system for NFL predictions, featuring Monte Carlo simulations and ensemble models. Learn about their MLOps pipelines and how Databricks accelerates development.

Explore how GenAI co-pilots accelerate data modernization for enterprises, enhancing efficiency in data management and operations while maintaining value in strategic transformations.

Discover how to rapidly develop and deploy enterprise-scale generative AI solutions using microservices, leveraging NVIDIA NIM and AI software for tailored business applications.

Explore how Databricks SDK for Go enhances application development, simplifies deployment, and improves packaging. Learn from examples like Databricks CLI and Labs Watchdog for efficient data analytics workflows.

Explore a new approach to data pipeline development using branch deployments, enabling safer testing on production data and improving productivity, data reliability, and cost-efficiency.

Unlock GenAI potential for business users with Databricks and Dataiku. Learn to scale AI projects, collaborate on model building, and streamline deployment for enterprise-wide innovation and future-ready AI solutions.

Explore data transformation challenges and solutions in the AI era, focusing on overcoming data silos, accelerating insights, and building critical foundations for AI ambition with Databricks and Microsoft Fabric.

Explore how democratizing data insights enhances decision-making, fosters data-driven culture, and accelerates innovation. Learn about Catalog Explorer, Data Lineage, and AI-powered data insights in Databricks Unity Catalog.

Explore IBM's Data Fabric solutions for enhancing data quality in Databricks environments. Learn about continuous observability, job design, data transformation, and advanced lineage views to improve AI and data workloads.

Transformación de detección de fraude reactiva a preventiva en tiempo real utilizando IA, visión por computadora y análisis de datos avanzados para mejorar la precisión y velocidad en la industria de seguros.

Explore the critical role of trust in Generative AI adoption, focusing on ethical principles, data governance, and security. Learn how Databricks' tools enable responsible AI development and implementation.

Integrate Informatica Cloud with Databricks Unity Catalog for enhanced data quality, lineage tracking, and analytics. Learn to configure Databricks connectors in Informatica for seamless data ingestion and transformation.

Unilever's data-driven success story: fostering innovation, collaboration, and continuous learning with Databricks. Thousands of active users and hundreds of certified professionals driving customer value through data excellence.

Explore how embedded GenAI-powered analytics and natural language search can revolutionize self-service analytics, accelerate insights, and create new revenue streams for businesses.

Explore Unity Catalog's multimodal interface for seamless data interoperability, open APIs, and open-source server. Learn about new features, partner demos, and developer resources for enhanced data ecosystem flexibility.

Explore how Databricks and Immuta provide a seamless solution for managing complex data ecosystems, reducing risks, and unlocking insights across platforms in enterprise data stacks.

Introducing Variant data type for efficient semi-structured data processing in lakehouse architecture, offering schema flexibility and improved performance over string parsing.

Découvrez comment DoorDash a développé Fabricator, un framework complet pour rationaliser l'ingénierie des caractéristiques déclaratives, orchestrant efficacement 1400 tâches quotidiennes et gérant 2,2 billions de valeurs.