Shell's Journey Towards Effective Data Governance with AI and Lakehouse
Shell's data strategy journey: Overcoming governance challenges with Unity Catalog, Data Mesh, and AI. Insights on aligning goals, identifying use cases, and scaling operations for data, analytics, and AI success.
Cloud-Based Generative AI Supporting Preliminary Engineering Design
Optimize engineering design with cloud-based generative AI. Learn how Rolls-Royce and Databricks reduced cGAN training time by 30x using distributed computing, MLflow, and Unity Catalog for aerospace compliance.
Crafting the Future of Go-to-Market Strategies with AI and Clean Data
Explore how clean data and Generative AI revolutionize go-to-market strategies, featuring real-world case studies and insights on unified data systems for transformative market success.
Efficient MLOps: Developing and Deploying ML Models with Databricks
Explore efficient MLOps framework design for ML model development and deployment, covering environment management, CI/CD pipelines, and tools like Unity Catalog and MLflow for model monitoring and progression.
Skyscanner's Journey of Enabling Practical Data and AI Governance
Discover how Skyscanner revolutionized their data infrastructure using lakehouse architecture and Unity Catalog, enabling effective governance and powering critical AI and ML applications.
Building a Strategic Platform: Lessons from Comparethemarket's Journey - Platform Engineering
Explore Comparethemarket's platform evolution: from self-managed K8s to strategic solution. Learn project initiation, migration simplification, and platform development insights for successful implementation.
Scaling On-Call Practices for Large Engineering Teams
Discover strategies for scaling on-call support across 150+ engineers, including schedule organization, Terraform modules, and effective training methods for large engineering teams.
Hacking from Cloud to Endpoint and Vice Versa
Map attack paths in Entra/Azure AD and on-premise AD using BloodHound. Explore hybrid attack scenarios and learn defensive strategies for securing cloud and endpoint environments.
Data-Centric Approach to Machine Learning in Health Applications
Explore robust data management practices for machine learning in health applications, addressing common pitfalls and showcasing solutions from neuroscience and cell biology research.
Federated Learning and Integration of Biomedical Data
Explore federated learning for secure biomedical data collaboration, integrating data harmonization and imputation techniques. Discover applications in neuroimaging tasks.
Lessons Learned from Building Blockchain Consortia Apps
Discover best practices for building blockchain consortium apps, from network setup to data management and scaling. Learn to optimize for throughput and move efficiently from concept to production.
Cyberinfrastructure Needs for Field Geology - Insights from Yosemite and Owens Valley
Explore challenges and opportunities for AI in field geology through a computer scientist's perspective on a unique interdisciplinary field trip to Yosemite and Owens Valley.
Towards Observability for Machine Learning Pipelines
Explore end-to-end observability for ML pipelines. Learn about a system that enhances visibility, executes tests, tracks data flow, and enables post-hoc analysis of pipeline health.
Global School Connectivity DataOps Platform
Explore the development of an open-source DataOps stack managing connectivity data for millions of schools, covering ingestion, pipelines, quality, and analytics integration.
Empowering Minds - Using Code to Foster Innovative Learning
Discover how coding transcends science, empowering innovative learning and fostering creativity in education.
Linux in Space: Fault Detection, Recovery and Fault-Tolerant System Designs
Explore fault detection, recovery, and fault-tolerant system designs for Linux in space environments. Learn strategies to ensure reliability and autonomy in hostile conditions.
Real-time Scheduling Fault Simulation
Explore methods for simulating real-time scheduling faults in Linux, including jitter and deadline misses. Learn to test error handling and mitigations for safety-critical applications.
From Hardware to Linux - A Step-by-Step Guide
Explore a step-by-step guide for developing a fully functional Linux system, from hardware design to userspace tools, emphasizing debugging strategies and system bringup techniques.
Virter - How the "Docker for VMs" Can Help You Test the Linux Kernel
Explore Virter, a tool for efficient Linux kernel testing using VMs. Learn how it simplifies provisioning and running of virtual machines, enabling large-scale testing of kernel-level software.
Getting Linux Distributions to New Processor Architectures
Automate porting Linux distributions to new processor architectures using open-source tools. Overcome pitfalls in binary package adaptation for emerging platforms like RISC-V.
Inspecting and Optimizing Memory Usage in Linux
Explore RAM management in Linux, focusing on allocation across areas and optimization techniques for restricted hardware platforms. Gain insights into kernel and user space memory usage.