Web 犯扒奶瓜奈互 Agile 卅嶱逃民奈丞卞⻌月午劐歹月仇午20仁日中

Feb 5, 201222 likes1,576 views

The document discusses the career of an individual who has worked as a UX/Markup Engineer for 5 years on the web. They aim to transition to a new role focusing on UI/UX design while maintaining engineering skills. Their experience includes Agile development processes, front-end technologies like Ruby on Rails, Haml, CSS, and tools like git and GitHub. They have a background in design and 6 years of experience in various roles and are looking to take on more design work while continuing to apply engineering knowledge.

Sabbir Ahmed Saqlain is an iOS developer with experience developing banking apps for several banks in Bangladesh using Swift and Objective-C. He has strengths in programming languages like Swift, Objective-C, and Python as well as frameworks like CoreData, CoreLocation, GoogleMaps, and Firebase. He has a bachelor's degree in computer science and engineering from Rajshahi University of Engineering and Technology and has worked on projects using design patterns like MVVM and MVC.

20170823 shinjuku rb_hanamiYuki Matsukura

Replacing Rails asset pipeline with GulpTomasz Bak

The document compares the Rails asset pipeline and Gulp for asset management. Both tools concatenate and minify JavaScript and CSS files as well as support preprocessing with CoffeeScript and Sass. Gulp provides additional automated tasks like removing unused CSS, creating image sprites, and checking PageSpeed scores. Integrating Gulp into Rails can be done with plugins like gulp-rev-rails-manifest. The document provides examples of using Gulp for a Rails frontend to isolate assets, commit only installed dependencies to source control, and leverage native frontend package and build systems.

No more conflicts - Jamstack that works for developers & business users with ...Arisa Fukuzaki

Experience a combination of a blazing-fast React-based framework (Gatsby) and the headless CMS (Storyblok) that works for developers & business users. You'll learn how to develop & deploy a blazing fast blog using the real-time visual editor & component-based approach in less than 30 minutes. I promise you - your marketers & content editors will love it and you will finally develop without any restrictions or hidden traps. Long live Jamstack!

疆仄中�及5煦匹煦井月Mesos⻌嬡 - Mesos 勻化睡分ˋMasahito Zembutsu

失皿伉弗奈扑亦件巨件斥瓦失匹手歹井月 Docker 午 Mesos 辭�頗 https://sakura-kanto.doorkeeper.jp/events/53777 2016爛11堎18゜(踢) 逃桶揃蹋掛旦仿奶玉及砑隅反 ☆ Mesos 勻化�中凶仇午丐月仃升﹜方仁歹井氏卅中﹛★ ☆ Apache Mesos勻化睡分ˋ ★ 午中勻凶疶�毛厥勾掂氪匹丐曰 Mesos 及衙癩支掖劓毛眭月凶戶及揃蹋匹允

▽17-楚-1▼赻雄趙反升仇卞砃井丹及井‵引分羲逃?堍蚚及赻雄趙匹秏瘧仄化中月及ˋ‵Masahito Zembutsu

癶籵眕狟及犯扒奶瓜奈互卅氏午井支勻化中仁源楊Shingo Katsushima

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UiPath AgentHack - Build the AI agents of tomorrow_Enablement 1.pptxanabulhac

Multi-Agent AI Systems: Architectures & Communication (MCP and A2A)HusseinMalikMammadli

Harmonizing Multi-Agent Intelligence | Open Data Science Conference | Gary Ar...Gary Arora

This deck from my talk at the Open Data Science Conference explores how multi-agent AI systems can be used to solve practical, everyday problems 〞 and how those same patterns scale to enterprise-grade workflows. I cover the evolution of AI agents, when (and when not) to use multi-agent architectures, and how to design, orchestrate, and operationalize agentic systems for real impact. The presentation includes two live demos: one that books flights by checking my calendar, and another showcasing a tiny local visual language model for efficient multimodal tasks. Key themes include: ? When to use single-agent vs. multi-agent setups ? How to define agent roles, memory, and coordination ? Using small/local models for performance and cost control ? Building scalable, reusable agent architectures ? Why personal use cases are the best way to learn before deploying to the enterprise

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Keynote speech at 3rd Asia-Europe Conference on Applied Information Technology 2025 (AETECH), titled ※Digital Technologies for Culture, Arts and Heritage: Insights from Interdisciplinary Research and Practice". The presentation draws on a series of projects, exploring how technologies such as XR, 3D reconstruction, and large language models can shape the future of heritage interpretation, exhibition design, and audience participation 〞 from virtual restorations to inclusive digital storytelling.

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Data dashboards are powerful tools for decision-making, but for non-technical users?�§such as doctors, administrators, and executives?�§they can often be overwhelming. A well-designed dashboard should simplify complex data, highlight key insights, and support informed decision-making without requiring advanced analytics skills. This session will explore the principles of user-friendly dashboard design, focusing on: -Simplifying complex data for clarity -Using effective data visualization techniques -Designing for accessibility and usability -Leveraging AI for automated insights -Real-world case studies By the end of this session, attendees will learn how to create dashboards that empower users, reduce cognitive overload, and drive better decisions.

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Integrating FME with Python: Tips, Demos, and Best Practices for Powerful Aut...Safe Software

FME is renowned for its no-code data integration capabilities, but that doesn＊t mean you have to abandon coding entirely. In fact, Python＊s versatility can enhance FME workflows, enabling users to migrate data, automate tasks, and build custom solutions. Whether you＊re looking to incorporate Python scripts or use ArcPy within FME, this webinar is for you! Join us as we dive into the integration of Python with FME, exploring practical tips, demos, and the flexibility of Python across different FME versions. You＊ll also learn how to manage SSL integration and tackle Python package installations using the command line. During the hour, we＊ll discuss: -Top reasons for using Python within FME workflows -Demos on integrating Python scripts and handling attributes -Best practices for startup and shutdown scripts -Using FME＊s AI Assist to optimize your workflows -Setting up FME Objects for external IDEs Because when you need to code, the focus should be on results〞not compatibility issues. Join us to master the art of combining Python and FME for powerful automation and data migration.

Risk Analysis 101: Using a Risk Analyst to Fortify Your IT Strategyjohn823664

Discover how a minor IT glitch became the catalyst for a major strategic shift. In this real-world story, follow Emma, a CTO at a fast-growing managed service provider, as she faces a critical data backup failure〞and turns to a risk analyst from remoting.work to transform chaos into clarity. This presentation breaks down the essentials of IT risk analysis and shows how SMBs can proactively manage cyber threats, regulatory gaps, and infrastructure vulnerabilities. Learn what a remote risk analyst really does, why structured risk management matters, and how remoting.work delivers vetted experts without the overhead of full-time hires. Perfect for CTOs, IT managers, and business owners ready to future-proof their IT strategy. ? Visit remoting.work to schedule your free risk assessment today.

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Refactoring meta-rauc-community: Cleaner Code, Better Maintenance, More MachinesLeon Anavi

RAUC is a widely used open-source solution for robust and secure software updates on embedded Linux devices. In 2020, the Yocto/OpenEmbedded layer meta-rauc-community was created to provide demo RAUC integrations for a variety of popular development boards. The goal was to support the embedded Linux community by offering practical, working examples of RAUC in action - helping developers get started quickly. Since its inception, the layer has tracked and supported the Long Term Support (LTS) releases of the Yocto Project, including Dunfell (April 2020), Kirkstone (April 2022), and Scarthgap (April 2024), alongside active development in the main branch. Structured as a collection of layers tailored to different machine configurations, meta-rauc-community has delivered demo integrations for a wide variety of boards, utilizing their respective BSP layers. These include widely used platforms such as the Raspberry Pi, NXP i.MX6 and i.MX8, Rockchip, Allwinner, STM32MP, and NVIDIA Tegra. Five years into the project, a significant refactoring effort was launched to address increasing duplication and divergence in the layer＊s codebase. The new direction involves consolidating shared logic into a dedicated meta-rauc-community base layer, which will serve as the foundation for all supported machines. This centralization reduces redundancy, simplifies maintenance, and ensures a more sustainable development process. The ongoing work, currently taking place in the main branch, targets readiness for the upcoming Yocto Project release codenamed Wrynose (expected in 2026). Beyond reducing technical debt, the refactoring will introduce unified testing procedures and streamlined porting guidelines. These enhancements are designed to improve overall consistency across supported hardware platforms and make it easier for contributors and users to extend RAUC support to new machines. The community's input is highly valued: What best practices should be promoted? What features or improvements would you like to see in meta-rauc-community in the long term? Let＊s start a discussion on how this layer can become even more helpful, maintainable, and future-ready - together.

machines-for-woodworking-shops-en-compressed.pdfAmirStern2

Is Your QA Team Still Working in Silos? Here's What to Do.marketing943205

Often, QA teams find themselves working in silos: the mobile team focused solely on app functionality, the web team on their portal, and API testers on their endpoints, with limited visibility into how these pieces truly connect. This separation can lead to missed integration bugs that only surface in production, causing frustrating customer experiences like order errors or payment failures. It can also mean duplicated efforts, communication gaps, and a slower overall release cycle for those innovative F&B features everyone is waiting for. If this sounds familiar, you're in the right place! The carousel below, "Is Your QA Team Still Working in Silos?", visually explores these common pitfalls and their impact on F&B quality. More importantly, it introduces a collaborative, unified approach with Qyrus, showing how an all-in-one testing platform can help you break down these barriers, test end-to-end workflows seamlessly, and become a champion for comprehensive quality in your F&B projects. Dive in to see how you can help deliver a five-star digital experience, every time!

Slack like a pro: strategies for 10x engineering teamsNacho Cougil

You know Slack, right? It's that tool that some of us have known for the amount of "noise" it generates per second (and that many of us mute as soon as we install it ?). But, do you really know it? Do you know how to use it to get the most out of it? Are you sure ?? Are you tired of the amount of messages you have to reply to? Are you worried about the hundred conversations you have open? Or are you unaware of changes in projects relevant to your team? Would you like to automate tasks but don't know how to do so? In this session, I'll try to share how using Slack can help you to be more productive, not only for you but for your colleagues and how that can help you to be much more efficient... and live more relaxed ?. If you thought that our work was based (only) on writing code, ... I'm sorry to tell you, but the truth is that it's not ?. What's more, in the fast-paced world we live in, where so many things change at an accelerated speed, communication is key, and if you use Slack, you should learn to make the most of it. --- Presentation shared at JCON Europe '25 Feedback form: http://tiny.cc/slack-like-a-pro-feedback

Building Connected Agents: An Overview of Google's ADK and A2A ProtocolSuresh Peiris

Google's Agent Development Kit (ADK) provides a framework for building AI agents, including complex multi-agent systems. It offers tools for development, deployment, and orchestration. Complementing this, the Agent2Agent (A2A) protocol is an open standard by Google that enables these AI agents, even if from different developers or frameworks, to communicate and collaborate effectively. A2A allows agents to discover each other's capabilities and work together on tasks. In essence, ADK helps create the agents, and A2A provides the common language for these connected agents to interact and form more powerful, interoperable AI solutions.

TrustArc Webinar: Cross-Border Data Transfers in 2025TrustArc

In 2025, cross-border data transfers are becoming harder to manage〞not because there are no rules, the regulatory environment has become increasingly complex. Legal obligations vary by jurisdiction, and risk factors include national security, AI, and vendor exposure. Some of the examples of the recent developments that are reshaping how organizations must approach transfer governance: - The U.S. DOJ＊s new rule restricts the outbound transfer of sensitive personal data to foreign adversaries countries of concern, introducing national security-based exposure that privacy teams must now assess. ??- The EDPB confirmed that GDPR applies to AI model training 〞 meaning any model trained on EU personal data, regardless of location, must meet lawful processing and cross-border transfer standards. - Recent enforcement 〞 such as a �290 million GDPR fine against Uber for unlawful transfers and a �30.5 million fine against Clearview AI for scraping biometric data signals growing regulatory intolerance for cross-border data misuse, especially when transparency and lawful basis are lacking. - Gartner forecasts that by 2027, over 40% of AI-related privacy violations will result from unintended cross-border data exposure via GenAI tools. Together, these developments reflect a new era of privacy risk: not just legal exposure〞but operational fragility. Privacy programs must/can now defend transfers at the system, vendor, and use-case level〞with documentation, certification, and proactive governance. The session blends policy/regulatory events and risk framing with practical enablement, using these developments to explain how TrustArc＊s Data Mapping & Risk Manager, Assessment Manager and Assurance Services help organizations build defensible, scalable cross-border data transfer programs. This webinar is eligible for 1 CPE credit.

Building the Customer Identity Community, Together.pdfCheryl Hung

Understanding SEO in the Age of AI.pdfFulcrum Concepts, LLC

ICDCC 2025: Securing Agentic AI - Eryk Budi Pratama.pdfEryk Budi Pratama

Title: Securing Agentic AI: Infrastructure Strategies for the Brains Behind the Bots As AI systems evolve toward greater autonomy, the emergence of Agentic AI〞AI that can reason, plan, recall, and interact with external tools〞presents both transformative potential and critical security risks. This presentation explores: > What Agentic AI is and how it operates (perceives ↙ reasons ↙ acts) > Real-world enterprise use cases: enterprise co-pilots, DevOps automation, multi-agent orchestration, and decision-making support > Key risks based on the OWASP Agentic AI Threat Model, including memory poisoning, tool misuse, privilege compromise, cascading hallucinations, and rogue agents > Infrastructure challenges unique to Agentic AI: unbounded tool access, AI identity spoofing, untraceable decision logic, persistent memory surfaces, and human-in-the-loop fatigue > Reference architectures for single-agent and multi-agent systems > Mitigation strategies aligned with the OWASP Agentic AI Security Playbooks, covering: reasoning traceability, memory protection, secure tool execution, RBAC, HITL protection, and multi-agent trust enforcement > Future-proofing infrastructure with observability, agent isolation, Zero Trust, and agent-specific threat modeling in the SDLC > Call to action: enforce memory hygiene, integrate red teaming, apply Zero Trust principles, and proactively govern AI behavior Presented at the Indonesia Cloud & Datacenter Convention (IDCDC) 2025, this session offers actionable guidance for building secure and trustworthy infrastructure to support the next generation of autonomous, tool-using AI agents.

2024 Trend Updates: What Really Works In SEO & Content MarketingSearch Engine Journal

The future of SEO is trending toward a more human-first and user-centric approach, powered by AI intelligence and collaboration. Are you ready? Watch as we explore which SEO trends to prioritize to achieve sustainable growth and deliver reliable results. We＊ll dive into best practices to adapt your strategy around industry-wide disruptions like SGE, how to navigate the top challenges SEO professionals are facing, and proven tactics for prioritizing quality and building trust. You＊ll hear: - The top SEO trends to prioritize in 2024 to achieve long-term success. - Predictions for SGE＊s impact, and how to adapt. - What E-E-A-T really means, and how to implement it holistically (hint: it＊s never been more important). With Zack Kadish and Alex Carchietta, we＊ll show you which SEO trends to ignore and which to focus on, along with the solution to overcoming rapid, significant and disruptive Google algorithm updates. If you＊re looking to cut through the noise of constant SEO and content trends to drive success, you won＊t want to miss this webinar.

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