
Dive into practical methods for integrating fine-tuned AI systems with external data sources, focusing on Retrieval Augmented Generation (RAG) and real-time data connectivity for enhanced AI applications.

Discover how Lockheed Martin revolutionized manufacturing by implementing IoT and robotics for automated tool delivery, predictive ordering, and facility inspection using Boston Dynamics Spot robot.

Explore data management essentials: labeling, storage, versioning, and processing. Learn about data flywheels, annotation techniques, and efficient workflows for deep learning projects.

Explore Société Générale's journey in scaling machine learning, focusing on MLflow and Apache Spark for production deployment, CI/CD pipelines, and overcoming challenges in large-scale ML implementation.

Explore how a converged database streamlines infrastructure, eliminates complexity, and empowers developers to create innovative applications for next-generation business needs.

Explore how Data Lakehouse and Data Mesh complement each other in modern data management, combining technological advancements with organizational strategies for effective analytics.

Explore Zalando's journey from centralized Data Lake to distributed Data Mesh architecture, emphasizing data ownership, quality, and accessibility through decentralized domain-focused approach and Data Products concept.

Explore Zalando's journey from centralized Data Lake to distributed Data Mesh architecture, focusing on data ownership, quality, and accessibility in large-scale e-commerce environments.

Learn how ODPi Egeria enables data-driven organizations through unified metadata management, covering governance maturity, distributed platforms, and practical implementation strategies.

Learn how Intuit's IPS provides scalable persistence for hundreds of services using XML schemas, Cassandra, Elastic Search, and Data Lake, with best practices for running Cassandra.

Explore strategies to overcome data silos in generative AI, enhancing model performance through improved data access, discovery, and integration across departments and cloud platforms.

Explore product thinking and Spotify's Backstage for building an Internal Development Platform, enhancing developer experience through user-centered design and integrated tools.

Explore data lineage from Databricks Unity Catalog in Microsoft Purview through hands-on demonstrations, enhancing your data governance capabilities.

Explore proven engineering methodologies to maximize team autonomy, align business boundaries, and boost productivity in product development and data processing.

Explore DevOps principles for Big Data Analytical Pipelines using Azure Data Platform, including Data Factory, Databricks, and Data Lake Gen2. Learn to build and operationalize multi-source Modern Data Warehouses.

Explore how Zalando transitioned from a centralized Data Lake to a distributed Data Mesh architecture, emphasizing data ownership, quality, and accessibility at scale.

Explore strategies for securing hybrid cloud environments, focusing on efficiency, visibility, and AI-driven solutions to enhance overall security posture and response capabilities.

Explore advanced serverless patterns on AWS, focusing on best practices, cost optimization, and security considerations for efficient and scalable cloud-native architectures.

Explore key considerations for building effective data lakes, including metadata management, lineage tracking, and security. Learn to create accessible and valuable unified data stores for organizations.

Explore data mesh principles for delivering value at scale, moving beyond data lakes to provide meaningful insights. Learn about earliest explorable data and modern data handling for organizations.

Explore BI solutions across cloud, on-premises, and hybrid environments. Learn about Power BI, SQL Server, Azure services, and tools for effective data analysis and decision-making.