
Explore AI-driven solutions for healthcare cost transparency, addressing challenges and showcasing an innovative platform's features, benefits, and future potential in the U.S. healthcare system.

Explore Data Mesh principles: domain ownership, data as product, self-serve platform, and federated governance for modern business success.

Enhance observability using OpenTelemetry Collector. Learn about tail sampling and optimize data collection for improved system monitoring and performance analysis.

Explore PyTorch's advancements in machine learning and learn how AI is helping manage COVID-19 research data, featuring insights on industry adoption and scientific information accessibility.

Explore the safety and security challenges of human digital memories in the Internet of Things era, including data analytics, identity protection, and ethical considerations.

Explore privacy-preserving computation in nuclear safeguards, focusing on garbled circuits for anomaly detection without compromising sensitive information between inspectors and facilities.

Explore a groundbreaking AI solution for COVID-19 implemented nationwide, presented by Mihaela van der Schaar at the 2020 IEEE International Conference on Multimedia and Expo.

Discover how Informatica's Intelligent Data Management Cloud enables real-time data integration and quality for Azure Synapse, ADLS, and Power BI, empowering businesses to create impactful analytics.

Explore OpenTelemetry for Kubernetes observability, including tracing capabilities for components and apps. Learn integration with Grafana and get an in-depth walkthrough of this powerful open-source toolkit.

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

Explore how Quby leverages ML and MLflow with their lakehouse to extract value from IoT sensor data, moving from batch to real-time streaming for energy optimization and customer insights.

Explore Photon's vectorized execution engine, learning about expression evaluation, compute kernels, runtime adaptivity, and vectorized operations for enhanced data processing efficiency.

Explore the Kubernetes WG Batch: goals, roadmap, and early efforts to enhance support for batch workloads, improve portability, and simplify deployment in core Kubernetes.

Explore OpenTelemetry's role in cloud-native observability, focusing on efficient storage and analysis of telemetry data for large-scale systems. Learn about HUAWEI CLOUD's challenges and solutions.

Explore how ING uses Volcano scheduler for efficient, multi-tenant large-scale processing in advanced analytics, enabling dynamic allocation and resource fairness for over 300 internal projects.

Explore recent improvements and future plans for batch workload support in Kubernetes, including Job API enhancements, Kueue developments, and hardware resource management advancements.

Explore a prototype RISC-V-based LoRaWAN end node PCB design, combining FPGA and RISC-V architecture with LoRa interface for low-power, high-capacity IoT solutions with edge analytics capabilities.

Explore AI/ML, data analytics, and closed loop control concepts with industry experts from Aarna Networks in this insightful presentation.

Explore the challenges of building trust in AI and cognitive computing, with insights on intelligent systems, robotic automation, and adaptive learning from an Accenture expert.

Exploring the convergence of cyber and physical worlds, this talk discusses how the industrial internet is revolutionizing business, society, and the economy.

Explore xSDK, an ecosystem of interoperable math libraries for extreme-scale architectures, enabling efficient development of high-quality applications in multiphysics modeling and data analytics.