
Explore Kubeflow's role in streamlining machine learning workflows, from model development to production deployment on Kubernetes, with insights on scalability and integration with TensorFlow and Apache Spark.

Explore AI's current state, impact, and future with Noah Goodman and Jim Zemlin. Delve into open source's role, data's future, and the driving forces behind AI's rapid advancement.

Explore cutting-edge innovations in data storage and management with Western Digital's CTO. Learn about transformative technologies shaping the future of digital infrastructure.

Explore advanced Spark and Mesos integration for secure, isolated Big Data environments. Learn to enhance protection, manage secrets, and implement network solutions in enterprise-level deployments.

Explore Unikraft's journey from research project to mature unikernel solution, focusing on community growth, challenges, and lessons learned in cloud deployment optimization.

Explore Egeria's open metadata framework for seamless integration of Big Data with diverse information systems, enhancing enterprise-wide data management and governance.

Explore the [X]BOM Fabric: a revolutionary approach to digitize Bills of Materials, enhancing supply chain transparency, security compliance, and vulnerability analysis across diverse industries and technologies.

Explore Hyperledger Aries Bifold: an open-source mobile wallet for verifiable credentials. Learn its architecture, features, and how British Columbia used it to create BC Wallet. Discover how to build your own wallet and future improvements.

Learn key considerations for creating formal IT specifications, focusing on software projects, programming languages, and libraries. Gain insights into effective documentation for implementers and users.

Discover best practices for building data streaming applications using open-source frameworks. Learn to orchestrate streams, perform ETL, enhance events, and make continuous queries with tools like Apache NiFi, Pulsar, Spark, and Flink SQL.

Explore the latest developments and innovations in open source energy technologies at this comprehensive industry event.

Explore big data and AI/ML collaboration for invasive plant eradication, covering challenges, architecture, data flow, and lessons learned in scalable machine learning systems.

Learn to optimize distributed training using Flyte, Spark, and Horovod for efficient data parallelism in machine learning workflows.

Explore common needs and approaches for remote access to IoT devices, including risks, audit logs, customer requests, and role-based access control. Learn about various connection methods and off-the-shelf solutions.

Explore ING's Data Analytics Platform, enabling internal teams to access curated data and tools for validating business ideas in a secure environment, democratizing advanced analytics capabilities.

Explore collaborative efforts in creating a standardized currency reference data model for the financial industry, discussing challenges, solutions, and future steps.

Learn essential open source metrics and analysis techniques, covering data challenges, GitHub bots, accountability, privacy, and best practices for meaningful insights.

Explore a self-serve feature engineering platform leveraging Flyte and Feast technologies, enhancing data science workflows and machine learning model development.

Learn strategies to effectively engage and onboard new users, focusing on developer attention, progressive disclosure, and user feedback techniques for improved product adoption.

Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.

Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.