CCL and Database in Korea

Oct 24, 2011Download as key, pdf

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The Korean Copyright Act of 2003 defines key terms related to databases and sui generis rights for databases. It defines a database as a collection of information arranged systematically that can be individually accessed. Database producers are those who make a substantial investment to produce, renew, verify or supplement a database. They have rights to control the reproduction, distribution, broadcasting or transmission of all or a substantial part of the database. Using a substantial part repetitively or systematically in a way that conflicts with the normal use of the database or prejudices the producer's interests violates these rights. The Act provides database producers exclusive rights and protection for 5 years, effectively in perpetuity.

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This document discusses databases and database rights under Korean copyright law. It defines a database as a collection of information arranged systematically for access and search. Database producers have sui generis rights over reproduction of a substantial part of the database for a specific purpose that conflicts with its normal use. These rights last 5 years but are effectively perpetual. The document examines cases where a database contains copyrighted and non-copyrighted works from different rights holders and different licenses could apply to the database versus its contents. It suggests the Creative Commons licenses or a new "CC+d" license tailored for databases could help manage these rights.

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Session | Measuring Microsoft 365 Copilot and Gen AI Success with Viva Insights and Purview Presenter | Nikki Chapple 2 x MVP and Principal Cloud Architect at CloudWay Event | European Collaboration Conference 2025 Format | In person Germany Date | 28 May 2025 📊 Measuring Copilot and Gen AI Success with Viva Insights and Purview Presented by Nikki Chapple – Microsoft 365 MVP & Principal Cloud Architect, CloudWay How do you measure the success—and manage the risks—of Microsoft 365 Copilot and Generative AI (Gen AI)? In this ECS 2025 session, Microsoft MVP and Principal Cloud Architect Nikki Chapple explores how to go beyond basic usage metrics to gain full-spectrum visibility into AI adoption, business impact, user sentiment, and data security. 🎯 Key Topics Covered: Microsoft 365 Copilot usage and adoption metrics Viva Insights Copilot Analytics and Dashboard Microsoft Purview Data Security Posture Management (DSPM) for AI Measuring AI readiness, impact, and sentiment Identifying and mitigating risks from third-party Gen AI tools Shadow IT, oversharing, and compliance risks Microsoft 365 Admin Center reports and Copilot Readiness Power BI-based Copilot Business Impact Report (Preview) 📊 Why AI Measurement Matters: Without meaningful measurement, organizations risk operating in the dark—unable to prove ROI, identify friction points, or detect compliance violations. Nikki presents a unified framework combining quantitative metrics, qualitative insights, and risk monitoring to help organizations: Prove ROI on AI investments Drive responsible adoption Protect sensitive data Ensure compliance and governance 🔍 Tools and Reports Highlighted: Microsoft 365 Admin Center: Copilot Overview, Usage, Readiness, Agents, Chat, and Adoption Score Viva Insights Copilot Dashboard: Readiness, Adoption, Impact, Sentiment Copilot Business Impact Report: Power BI integration for business outcome mapping Microsoft Purview DSPM for AI: Discover and govern Copilot and third-party Gen AI usage 🔐 Security and Compliance Insights: Learn how to detect unsanctioned Gen AI tools like ChatGPT, Gemini, and Claude, track oversharing, and apply eDLP and Insider Risk Management (IRM) policies. Understand how to use Microsoft Purview—even without E5 Compliance—to monitor Copilot usage and protect sensitive data. 📈 Who Should Watch: This session is ideal for IT leaders, security professionals, compliance officers, and Microsoft 365 admins looking to: Maximize the value of Microsoft Copilot Build a secure, measurable AI strategy Align AI usage with business goals and compliance requirements 🔗 Read the blog https://nikkichapple.com/measuring-copilot-gen-ai/

Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generati...Aaryan Kansari

Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generative AI Discover Agentic AI, the revolutionary step beyond reactive generative AI. Learn how these autonomous systems can reason, plan, execute, and adapt to achieve human-defined goals, acting as digital co-workers. Explore its promise, key frameworks like LangChain and AutoGen, and the challenges in designing reliable and safe AI agents for future workflows. Sticky Note Bullets: Definition: Next stage beyond ChatGPT-like systems, offering true autonomy. Core Function: Can "reason, plan, execute and adapt" independently. Distinction: Proactive (sets own actions for goals) vs. Reactive (responds to prompts). Promise: Acts as "digital co-workers," handling grunt work like research, drafting, bug fixing. Industry Outlook: Seen as a game-changer; Deloitte predicts 50% of companies using GenAI will have agentic AI pilots by 2027. Key Frameworks: LangChain, Microsoft's AutoGen, LangGraph, CrewAI. Development Focus: Learning to think in workflows and goals, not just model outputs. Challenges: Ensuring reliability, safety; agents can still hallucinate or go astray. Best Practices: Start small, iterate, add memory, keep humans in the loop for final decisions. Use Cases: Limited only by imagination (e.g., drafting business plans, complex simulations).

Offshore IT Support: Balancing In-House and Offshore Help Desk Techniciansjohn823664

In today's always-on digital environment, businesses must deliver seamless IT support across time zones, devices, and departments. This SlideShare explores how companies can strategically combine in-house expertise with offshore talent to build a high-performing, cost-efficient help desk operation. From the benefits and challenges of offshore support to practical models for integrating global teams, this presentation offers insights, real-world examples, and key metrics for success. Whether you're scaling a startup or optimizing enterprise support, discover how to balance cost, quality, and responsiveness with a hybrid IT support strategy. Perfect for IT managers, operations leads, and business owners considering global help desk solutions.

ECS25 - The adventures of a Microsoft 365 Platform Owner - Website.pptxJasper Oosterveld

LSNIF: Locally-Subdivided Neural Intersection FunctionTakahiro Harada

Neural representations have shown the potential to accelerate ray casting in a conventional ray-tracing-based rendering pipeline. We introduce a novel approach called Locally-Subdivided Neural Intersection Function (LSNIF) that replaces bottom-level BVHs used as traditional geometric representations with a neural network. Our method introduces a sparse hash grid encoding scheme incorporating geometry voxelization, a scene-agnostic training data collection, and a tailored loss function. It enables the network to output not only visibility but also hit-point information and material indices. LSNIF can be trained offline for a single object, allowing us to use LSNIF as a replacement for its corresponding BVH. With these designs, the network can handle hit-point queries from any arbitrary viewpoint, supporting all types of rays in the rendering pipeline. We demonstrate that LSNIF can render a variety of scenes, including real-world scenes designed for other path tracers, while achieving a memory footprint reduction of up to 106.2x compared to a compressed BVH. https://arxiv.org/abs/2504.21627

Palo Alto Networks Cybersecurity FoundationVICTOR MAESTRE RAMIREZ

The case for on-premises AIPrincipled Technologies

Exploring the advantages of on-premises Dell PowerEdge servers with AMD EPYC processors vs. the cloud for small to medium businesses’ AI workloads AI initiatives can bring tremendous value to your business, but you need to support your new AI workloads effectively. That means choosing the best possible infrastructure for your needs—and many companies are finding that the cloud isn’t right for them. According to a recent Rackspace survey of IT executives, 69 percent of companies have moved some of their applications on-premises from the cloud, with half of those citing security and compliance as the reason and 44 percent citing cost. On-premises solutions provide a number of advantages. With full control over your security infrastructure, you can be certain that all compliance requirements remain firmly in the hands of your IT team. Opting for on-premises also gives you the ability to design your infrastructure to the precise needs of that team and your new AI workloads. Depending on the workload, you may also see performance benefits, along with more predictable costs. As you start to build your next AI initiative, consider an on-premises solution utilizing AMD EPYC processor-powered Dell PowerEdge servers.

Introducing FME Realize: A New Era of Spatial Computing and ARSafe Software

A new era for the FME Platform has arrived – and it’s taking data into the real world. Meet FME Realize: marking a new chapter in how organizations connect digital information with the physical environment around them. With the addition of FME Realize, FME has evolved into an All-data, Any-AI Spatial Computing Platform. FME Realize brings spatial computing, augmented reality (AR), and the full power of FME to mobile teams: making it easy to visualize, interact with, and update data right in the field. From infrastructure management to asset inspections, you can put any data into real-world context, instantly. Join us to discover how spatial computing, powered by FME, enables digital twins, AI-driven insights, and real-time field interactions: all through an intuitive no-code experience. In this one-hour webinar, you’ll: -Explore what FME Realize includes and how it fits into the FME Platform -Learn how to deliver real-time AR experiences, fast -See how FME enables live, contextual interactions with enterprise data across systems -See demos, including ones you can try yourself -Get tutorials and downloadable resources to help you start right away Whether you’re exploring spatial computing for the first time or looking to scale AR across your organization, this session will give you the tools and insights to get started with confidence.

AI Trends - Mary MeekerRazin Mustafiz

Grannie’s Journey to Using Healthcare AI ExperiencesLauren Parr

Securiport - A Border Security CompanySecuriport

Cyber Security Legal Framework in Nepal.pptxGhimire B.R.

Cyber security cyber security cyber security cyber security cyber security cy...pranavbodhak

Supercharge Your AI Development with Local LLMsFrancesco Corti

In today's AI development landscape, developers face significant challenges when building applications that leverage powerful large language models (LLMs) through SaaS platforms like ChatGPT, Gemini, and others. While these services offer impressive capabilities, they come with substantial costs that can quickly escalate especially during the development lifecycle. Additionally, the inherent latency of web-based APIs creates frustrating bottlenecks during the critical testing and iteration phases of development, slowing down innovation and frustrating developers. This talk will introduce the transformative approach of integrating local LLMs directly into their development environments. By bringing these models closer to where the code lives, developers can dramatically accelerate development lifecycles while maintaining complete control over model selection and configuration. This methodology effectively reduces costs to zero by eliminating dependency on pay-per-use SaaS services, while opening new possibilities for comprehensive integration testing, rapid prototyping, and specialized use cases.

SDG 9000 Series: Unleashing multigigabit everywhereAdtran

GDG Cloud Southlake #43: Tommy Todd: The Quantum Apocalypse: A Looming Threat...James Anderson

The Quantum Apocalypse: A Looming Threat & The Need for Post-Quantum Encryption We explore the imminent risks posed by quantum computing to modern encryption standards and the urgent need for post-quantum cryptography (PQC). Bio: With 30 years in cybersecurity, including as a CISO, Tommy is a strategic leader driving security transformation, risk management, and program maturity. He has led high-performing teams, shaped industry policies, and advised organizations on complex cyber, compliance, and data protection challenges.

Agentic AI - The New Era of IntelligenceMuzammil Shah

This presentation is specifically designed to introduce final-year university students to the foundational principles of Agentic Artificial Intelligence (AI). It aims to provide a clear understanding of how Agentic AI systems function, their key components, and the underlying technologies that empower them. By exploring real-world applications and emerging trends, the session will equip students with essential knowledge to engage with this rapidly evolving area of AI, preparing them for further study or professional work in the field.