Amazon EC2で構築するwebサービス用インフラ

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Go Maeda

第2回山陰ITProfessional勉強会(SITW)発表資料／2009年2月27日 19:00〜20:30＠松江オープンソースラボ／ファーエンドテクノロジー株式会社前田剛

Technologie

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Plus de Go Maeda

積み上がるタスクや、表計算ソフトで作った一覧表での業務処理をなんとか改善したい方、オープンソースのプロジェクト管理・課題管理ツール「Redmine」を使ってみようと思っている方に。 Redmineでできること、基本的な考え方、利用イメージをお伝えします。・Redmineとは何か・Redmineの主な機能・Redmineの基本的な操作・考え方・業務に合わせたカスタマイズ・より便利に！お勧めプラグイン・より見やすく！お勧めテーマ・利用環境の準備

はじめる! Redmine (2021年版)

Go Maeda

Redmine 4.2 新機能評価ガイド

Go Maeda

Redmine 4.1 / RedMica 1.0ユーザーのための RedMica 1.1 (2020-05)・ 1.2 (2020-11) 新機能ガイド

Go Maeda

Redmineの開発体制の現況2020

Go Maeda

2020年5月リリースのRedMica 1.1の新機能のうち特に知っていただきたい、試していただきたいものをピックアップして紹介します。これらは将来リリースされるRedmine 4.2の新機能の一部でもあります。 RedMicaは、Redmineの次期バージョンの新機能を先行して利用できるRedmine互換ソフトウェアです。RedMica 1.1では、Redmine 4.2向けの新機能・修正のうち、およそ80件が取り込まれています。第18回 redmine.tokyo 勉強会資料 https://redmine.tokyo/projects/shinared/wiki/%E7%AC%AC18%E5%9B%9E%E5%8B%89%E5%BC%B7%E4%BC%9A

【Redmine 4.2 を先取り】RedMica 1.1 (2020-05) 新機能ハイライト

Go Maeda

RedMicaは、オープンソースの課題管理システム「Redmine」のソースコードをもとに、ファーエンドテクノロジーが「今日使える明日のRedmine」を目指してリリースするRedmine互換のオープンソースソフトウェアです。Redmineの次期バージョンの新機能を先行して利用できること、定期的にリリースされること、Redmineとの高い互換性が特長です。 2019年11月2日(土)開催 redmine.tokyo 第17回勉強会での講演資料です。

RedMica — The future Redmine you can get today / 今日使える明日のRedmine

Go Maeda

Redmine 4.1 新機能評価ガイド＜速報版＞

Go Maeda

2018年12月にリリースされたRedmine 4.0と、現在開発中のRedmine 4.1の、注目の新機能を紹介します。 2019年3月9日開催第19回Redmine大阪発表スライド https://redmine-osaka.connpass.com/event/113842/ <4.0> * Textile/Markdownプレビューのタブ化 * シンタックスハイライトの対応言語大幅増 * コメント表示順が「新しい順」のときは編集フォームを上に表示 * チケットにリンクするための新しい書式 * チケットのフィルタ「ウォッチャー」で自分以外も選択可能に * ユーザーのフィルタにロック中ユーザーを表示 * 親プロジェクト上で子プロジェクトのチケットを作成 * CSVエクスポート時にエンコーディング選択 * ユーザー一覧のCSVエクスポート * ガントチャートの表示幅のリサイズ * ガントチャート右クリックでコンテキストメニューを表示 * 通知メールをバックグラウンドで1件ずつ送信 <4.1コミット済み> * ガントチャートの折りたたみ * クリップボードからの画像ペースト * ワイド表示カスタムフィールドのツールバー * 通知メールのFromに更新者名を表示 <4.1> * メンション機能 * コメントしたチケットの自動ウォッチ

Redmine 4.0 の新機能、Redmine 4.1の開発状況

Go Maeda

間もなくリリースされそうなRedmineの約170件の変更・修正の中から、ぜひ試して欲しいおすすめ新機能をピックアップして紹介します。 2018年11月10日開催第3回 redmine.tokyo 第15回勉強会発表スライド。 https://redmine.tokyo/projects/shinared/wiki/%E7%AC%AC15%E5%9B%9E%E5%8B%89%E5%BC%B7%E4%BC%9A https://www.slideshare.net/g_maeda/redmine-40 の改訂版です。

Redmine 4.0 おすすめ新機能ピックアップ（第2版）

Go Maeda

12 years of Redmine and 10 years of Far End Technologies

Go Maeda

RedmineのREST APIを利用すると、外部のアプリケーションからRedmineのデータにアクセスできます。これまでAPIを利用したことがない方にも簡単な手順でRedmineをちょっと便利に使っていただくために、プログラミング無しでREST APIを使う例を紹介します。 HTML版: https://vividtone.github.io/redmine-tokyo-slide-20180526/ 2018/05/26 Redmine東京第14回勉強会講演資料 https://redmine.tokyo/versions/30

Redmineをちょっと便利に! プログラミング無しで使ってみるREST API

Go Maeda

積み上がるタスクや、表計算ソフトで作った一覧表での業務処理をなんとか改善したい方、オープンソースの課題管理ツール「Redmine」を使ってみようと思っている方に。 Redmineでできること、基本的な考え方、利用イメージをお伝えします。【旧版】はじめる! Redmine (2015年版) https://www.slideshare.net/g_maeda/redmine-2015-54346755 はじめる! Redmine (2012年版) https://www.slideshare.net/g_maeda/redmine-13090673

はじめる! Redmine (2017)

Go Maeda

開発チームに必要なツールと情報をすべて集約。Redmineベースのプロジェクト管理クラウドサービス「Planio」

Go Maeda

Redmineのバージョンアップに追従していくための一工夫

Go Maeda

Redmine 10周年記念 10年ふりかえり

Go Maeda

プロジェクト管理ツールRedmineの開発は、それ自体もRedmineを使って公開の場で行われています。 Redmineを継続的に発展させるためにどのような貢献ができるのか、開発に参加するにはどうすればよいのか、 Redmineの開発体制の現状とあわせて解説します。 redmine.tokyo 第10回勉強会 (2016/05/14開催) 発表資料 http://redmine.tokyo/versions/18

みんなでRedmineをより良くしよう −Redmineプロジェクトへの貢献の仕方−

Go Maeda

2015年に追加されたRedmineの新機能とこれからのRedmine

Go Maeda

Redmineを使ったヘルプデスクシステムでサポート業務を効率化

Go Maeda

Redmineの9年間の歩みを振り返ってみる

Go Maeda

Redmineの基本と適用事例

Go Maeda

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Redmineの開発体制の現況2020

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presentation ICT roal in 21st century education

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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Amazon EC2で構築するwebサービス用インフラ

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