can_playback---->(字串長度:0)---->V(字串長度:1)```company---->叡揚資訊股份有限公司技術服務總處暨創新研發中心(字串長度:69)---->Galaxy Software Services Corp.(字串長度:30)```position---->技術長(字串長度:9)---->Innovation Research Center, CTO(字串長度:31)```desc---->(字串長度:0)---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.
The beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.
(字串長度:722)```me_desc---->林縣城先生目前任職叡揚資訊技術長，在此之前擔任執行長資深特助職務，曾任職財團法人資訊工業策進會中心主任、及資拓宏宇技術副總經理職務，主要負責技術研發技術研發及管理、業務發展及部門管理等工作。
林先生具備超過30年資訊技術研發、資訊系統發展和專案管理經驗，曾領導和管理多個資訊技術研發計畫及資訊系統開發計畫，研發計畫主要包括知識庫系統技術研發計劃、排程系統技術研發計劃、推薦引擎研發計劃及RFID 中介軟體研發計畫等；資訊系統開發計畫主要包括知識庫系統發展工具、台灣鐵路局列車排點系統、航機負載平衡系統及高雄海關e-Seal系統等。
林先生的專長領域包括人工智慧與知識庫技術、排程系統技術、資料探勘及文字探勘、企業應用軟體規劃、策略資訊系統規劃、軟體開發及架構設計、軟體工程專案管理、RFID技術應用、雲端運算、行動運算、記億體運算及商業智慧、技術研發及管理。
(字串長度:1102)---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.
Mr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.
Lin's areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.
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