Data Engineering with Generative and Agentic AI on AWS: Building an Ai-Augmented Data Practice for the Enterprise
暫譯: 在AWS上使用生成式與代理式AI進行資料工程：為企業建立AI增強的資料實踐

Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience leading data engineering, machine learning, and AI initiatives for enterprise transformation. A recognized thought leader, he has delivered keynote presentations at premier conferences including Spark+AI Summit and AWS re: Invent, and has contributed to more than 10 technical AWS blogs. He leads the NYC Generative and Agentic AI Meetup, which has over 12,000 members. Justin specializes in helping organizations modernize their operations through cloud-native data strategies and agentic automation to drive measurable business outcomes. He is a licensed Professional Engineer and holds an MBA and a B.S. in Computer Engineering from The Pennsylvania State University.

Justin J. Leto，PE，MBA，PMP，是AWS的首席解決方案架構師，擁有超過20年的經驗，專注於數據工程、機器學習和人工智慧的企業轉型計劃。作為一位公認的思想領袖，他在多個頂尖會議上發表過主題演講，包括Spark+AI Summit和AWS re:Invent，並為超過10篇技術AWS部落格做出貢獻。他領導的NYC Generative and Agentic AI Meetup擁有超過12,000名成員。Justin專注於幫助組織通過雲原生數據策略和自主自動化來現代化其運營，以推動可衡量的商業成果。他是一位持牌專業工程師，並擁有賓夕法尼亞州立大學的MBA和計算機工程學士學位。