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サービス、プロダクトを”いつまでも”継続する為には、インサイトとデータを組織の力とする必要があります。私達が開発、運用するドワンゴジェイピーは、間もなく二十周年を迎えます。決して順風満帆ではなかったシステムの遍歴と New Relic の導入方法を交え、継続できた理由の一つ、インサイトとデータを組織の力へ変換する方法をご紹介します。

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The days of parsing log files and building out homebrewed monitoring tools are (thankfully) coming to an end. Yet as those outdated techniques begin to fade, a whole new set of challenges have arisen around employing and running modern monitoring solutions. Discover how New Relic can help turn monitoring blunders into intelligent problem solving, including how to avoid making common mistakes like: - Not monitoring the whole system - Monitoring arbitrary things in your system - Making your monitoring part of the problem

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As a Kubernetes environment grows and becomes more complex, it gets harder to answer some very basic—but very important—questions. Questions like: What is the health of my cluster? What is the hierarchy and the health of the elements (nodes, pods, containers, and applications) within my cluster? In order to effectively manage the health and performance of your Kubernetes environments—at any scale and any level of complexity—it’s essential you have immediate, useful answers to these questions. Our Kubernetes cluster explorer was designed to give you a multi-dimensional representation of your clusters—giving you the ability to drill down into Kubernetes data and metadata in a high-fidelity, curated UI.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

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