Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning
暫譯: 預測安全分析：透過建模與機器學習降低風險

幾乎我們所有的安全數據收集和報告系統都是向後看的：事件報告、儀表板、合規監控系統等等。本書展示了我們如何以前瞻性和預測性的方式使用安全數據。它包含了實際的案例，這些案例中組織透過運用預測分析來減少事件的發生。

Rob is part of the leadership team at First Analytics, a boutique analytical consulting firm. First Analytics designs and implements predictive analytics and machine learning solutions. The firm services multiple industries with many applications. With an enabling engagement model, the firm teams up with its clients to build their in-house capabilities and systems. In his role as Vice President at First Analytics, Rob helps companies develop and execute programs to cultivate their analytics competency. He brings experience to bear stemming from more than thirty years as an analytics professional, starting as an econometrician. His career has consisted of consulting, product development, client service, technical, and sales roles within software, consulting, and market research firms. Rob has participated in or led safety analytics implementations in the railroad, utility, oil and gas, and manufacturing industries. He has spoken on predictive safety analytics in venues such as National Safety Council congresses, an OSHA safety conference, human and organizational learning conferences, manufacturing forums, private analytics consortiums, and conferences and webinars sponsored by software companies.

Rob 是 First Analytics 的領導團隊成員，這是一家專注於分析的顧問公司。First Analytics 設計並實施預測分析和機器學習解決方案。該公司服務於多個行業，並有許多應用。透過一種促進合作的參與模式，該公司與客戶合作，建立他們的內部能力和系統。作為 First Analytics 的副總裁，Rob 幫助公司開發和執行計劃，以培養他們的分析能力。他擁有超過三十年的分析專業經驗，最初是一名計量經濟學家。他的職業生涯包括在軟體、顧問和市場研究公司中擔任顧問、產品開發、客戶服務、技術和銷售等角色。Rob 曾參與或主導鐵路、公用事業、石油和天然氣以及製造業的安全分析實施。他在全國安全委員會大會、OSHA 安全會議、人類與組織學習會議、製造論壇、私人分析聯盟以及由軟體公司贊助的會議和網路研討會上發表過有關預測安全分析的演講。