site-logo

JAWS PANKRATION 2024

site-logo
HomeNewsTimetableCfPCommitteePromotionFollow UpPrivacy Policy

Creating Visual Learning and AI: An AWS Hero's Journey with Knowledge Graphs, Amazon Bedrock, and the Ernest PKM Workflow

Lv200

Lv200

2024/8/24 21:40 (JST)
セッション情報

I enjoy learning very much and have curated a set of Ernest PKM (Personal Knowledge Management) workflows to share with like-minded individuals.

Throughout this process, I aimed to experiment with visualization, integrate AWS AI Tools, and explore creating verifiable secure AI.

This led to the story I am sharing today.

Ernest Chiang

Ernest Chiang

- AWS Heroes -

- AWS User Community Leaders -

セッションカテゴリ
Business applications
Developer tools
etc
関連AWSサービス
Amazon Bedrock
Graph database
セッション資料
    セッションアーカイブ
    セッションサマリ（by Amazon Bedrock）
      Ernest, a database committee hero from Taiwan, discusses the importance of knowledge integration and learning in various industries. He introduces five key concepts or "toolkits" for organizing and understanding knowledge: 1. Relationship: Connecting related concepts 2. Classification: Grouping and categorizing information 3. Namespace: Isolating and distinguishing similar concepts 4. Workflow: Connecting ideas into a process 5. Pattern: Combining classification and workflow Ernest then presents a workflow called "ITEE" (Input, Tools, Inbox, Stadium, Executing, and Expression) as an example of how to integrate these concepts. He discusses the evolution of digitization, digital transformation, and AI integration in workflows. The presentation explores how AI, particularly Amazon Bedrock, can be integrated into existing workflows to enhance learning and knowledge management. Ernest suggests that AI can help identify keywords, visualize outputs, and assist in decision-making processes. He emphasizes the potential for AI to handle various tasks, allowing humans to focus on more important aspects of their work. Amazon Bedrock is highlighted as a tool that can save time in setting up AI platforms while maintaining proper isolation for security. The key takeaways include: - The five "toolkits" for knowledge organization - The importance of creating personalized workflows - The potential for AI integration in knowledge management - The use of Amazon Bedrock for efficient AI implementation Ernest concludes by encouraging listeners to develop their own workflows and integrate AI tools to enhance their learning and work processes.

    戻る

    ©JAWS-UG (AWS User Group - Japan). All rights reserved.