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ClawRunr is an open-source Java AI agent from JobRunr that automates scheduled tasks via conversational commands, browser automation, and multi-platform support, all running on your own hardware.
Cloudflare has built new infrastructure for LLMs that separates input and output processing across its global network, reducing costs and latency.
Q&A covering OpenJDK JEPs, Spring AI M5, GlassFish M2, point releases of Quarkus, JReleaser, Gradle, LangChain4j, Google ADK, plus Hardwood beta and A2A Java SDK beta.
DoorDash leveraged GitHub Copilot alongside robust reliability measures to migrate its iOS XCTest suite to Swift Testing, resulting in faster tests and a modernized codebase.
Roq is a static site generator on Quarkus, offering Java speed, migration paths, and a promising future. Answers key questions about its design and usage.
Lessons from migrating a delta-index pipeline from batch to micro-batch streaming: rejecting record-level streaming, using partition watermarks, overlap-window correctness, and restart-as-design for reliability.
Why human teams break under hyper-growth and how leaders can apply communication architecture and engineered trust to sustain high-performing, autonomous teams without sacrificing speed or culture.
Discover how NASA's LAGEOS satellite, launched in 1976, revolutionized Earth science through laser ranging, tracking tectonic plates, and testing general relativity.
New study uses eclipse timings from TESS to find over 24 exoplanet candidates in binary star systems, overcoming limitations of traditional transit method.
A structured AI compliance roadmap aligns innovation with accountability, covering governance, data bias, transparency, and monitoring to build trustworthy AI systems.
Enterprise AI agents close the gap where chatbots fail: handling judgment-heavy tasks with context. This guide covers architecture (orchestrated vs autonomous), proven use cases (IT, HR, procurement) with ROI evidence (3–5x return), and a four-phase governance playbook for CIOs.
Explore how privacy proxies protect sensitive data when using generative AI tools like ChatGPT, ensuring compliance and security in enterprise settings.
Data wrangling at scale consumes most practitioners' time, bottlenecking AI. Modern approaches focus on governed, reusable workflows for enterprise readiness.
Enterprise AI teams often face a wall between low-code visual tools and full-code notebooks. Hybrid development bridges this gap, combining speed with depth for production-grade AI.
Data transformation failures silently break analytics, ML, and GenAI. This article details seven common failure patterns and offers enterprise fixes to catch them early.
Dataiku’s 2025 Partner Certification Challenge winners exemplify that human expertise, not just technology, unlocks AI’s true power in an AI-ready era.
Explore how machine learning (predictive models, GenAI, autonomous agents) is reshaping financial services. Learn adoption stats, high-impact use cases, and a step-by-step roadmap to scale from pilot to production while managing compliance risks.
Expert Q&A on preventing agentic identity theft: zero-knowledge architecture, credential governance, and strategies to secure AI agents from misuse and impersonation.
Learn why Gen Z needs a personal knowledge base to fight cognitive offloading and skill atrophy, with practical steps to build one for a lasting job market edge.
Runpod's Zhen Lu shares how community funding replaced VCs, balancing intuition with feedback, and scaling from basement servers to global partnerships via a software-layer data-first paradigm.