The article outlines the AIIA‑hosted RPA technology salon, details the newly built RPA evaluation framework, explains RPA fundamentals and AI‑driven RPA 4.0 trends, and presents the alliance’s roadmap for standards and testing to boost successful automation deployments.
The presentation by Bilibili's real‑time platform lead details the design and implementation of a Flink‑based streaming data platform, explains how AI workloads are integrated, shares architectural decisions and operational insights, and provides the full slide deck for knowledge dissemination.
The interview with Alibaba Cloud’s container platform lead explores the evolution of container and cloud‑native technologies, security and hybrid‑cloud demands, open‑source contributions, and future AI‑container convergence that drove massive Double‑11 traffic and industry innovation.
SQLFlow is an open‑source project that connects diverse SQL engines (MySQL, Hive, SparkSQL, etc.) with AI frameworks (TensorFlow, PyTorch, XGBoost, etc.) through extended SQL syntax, enabling analysts to train and predict models using only a few SQL statements while aiming for high scalability and performance.
This article reviews a decade of MaxCompute development, covering its origins, core technologies, performance gains, ecosystem integration, intelligent features, competitive positioning, and commercialization, while highlighting the platform's role as Alibaba's central big‑data compute engine.
The article reviews major 2023 RTC industry developments—including WebRTC 1.0 finalization, AV1 codec adoption, AI‑driven video enhancements, 5G rollout, and diverse use cases in education, gaming, and emergency services—while summarizing technical sessions on codecs, architecture, and future WebRTC standards.
This article explains how real-time streaming has evolved from batch Hadoop systems through Lambda architecture to modern Kappa-style pipelines, highlighting its growing importance for developers, enterprises, and the integration of streaming with microservices, AI, and cloud-native technologies.
This article explores the evolving role of front‑end engineers, outlining how their work is diversifying across domains, industries and tech stacks, converging with device, full‑stack and AI technologies, while core fundamentals remain unchanged, and offers guidance on navigating the future.
The article examines the evolution of integration architectures, identifies persistent data‑search, adaptation, and system‑linkage challenges, and proposes AI‑driven solutions such as knowledge‑graph self‑service and deep‑learning UI automation, illustrating how intelligent integration can reshape software development pipelines.
