« Back to List Open platform for enterprise ready AI
Time / Place:
⏱️ 09/27 (Fri.) 13:00-13:30 at R2 - 2nd Conference Room
Abstract:
In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI. 在此次演講中,我們將探討企業級 AI 的開放平台如何應對生成式人工智慧(GenAI)技術的碎片化挑戰。開源專案推動了 AI 的迅速創新,但也導致了技術和工具的分散,對企業採用 GenAI 形成障礙。開發人員面臨眾多選擇,難以整合。為解決這一問題,我們需要一個強大的開源協作框架,以建構和評估可組合的 GenAI 解決方案。這個框架將根據性能、可信度、可擴展性和彈性對 GenAI 進行分級和評估,確保其適合企業需求。同時,這種合作模式將有助於解決目前 RAG(檢索增強生成)技術的挑戰,並為開發人員提供創新平台,發揮 GenAI 的最大潛力。
Biography:
- 王宗業 Chungyeh Wang
- Intel / Network and Edge Group, Platform Software Architect
- An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience. 美商英特爾公司平台研發協理,負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班,技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師,具有豐富的產業經驗。