AI 邁向商轉時代,決策者該如何導入企業?在 AI 商轉的時代,各企業都想導入 AI,但是懂 AI 技術和做決策的人往往是不同的人,不只 AI 的執行者需要深入研究,決策者也必須對 AI 有正確的認識,才能相互溝通並做出正確的決策。本書由日本著名的產業研究機構「野村總合研究所 (NRI)」的專家群所撰寫,不僅帶您綜觀 AI 的核心技術也具體說明未來的趨勢,並列舉 30 餘家大企業如何活用 AI,希
人性化的AI智慧 VS 機器化的人類,「攻殼機動隊」終有實現的一天!人工智慧已經發展出相當耀眼的成就,未來,更會出現「超AI」。一旦超AI異能力凌駕人類,人腦將不得不與電腦結合,化身為賽伯格。哲學教授髙橋 透在《AI世代生存哲學大思考:人人都必須了解的「新AI學」》一書裡,從人類生態、經濟發展、科學哲學等角度思考AI世代的未來,並藉由AI思考人類存在的意義,以及今後人類的生存之道。髙橋 透在《AI
【AI 權威領進門,破除你對 AI 的疑惑和迷思!】本書作者野村直之先生,是日本產業界的 AI 導入教父,曾在美國麻省理工學院 AI 研究所與「AI 之父」馬文.閔斯基 (Marvin Minsky) 及語言學家諾姆.杭士基 (Noam Chomsky) 密切交流。他創立的 Metadata 公司已協助許多企業活用大數據分析、社群媒體與 AI 技術來解決問題。野村先生將以自己為各大企業導入 AI
This volume analyses and explains EU legislation governing financial services. It is for legal practitioners in international law firms, the financial industry, regulators, and academics needing an in
Artist, designer, architect, author, publisher, and curator: Ai Weiwei (b. 1957) is a truly 21st–century creative, influential across a variety of media. During his childhood, criticism of his father’
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Recent work of one of China's most important and outspoken contemporary artists is featured in this book. One of China's most controversial artists, Ai Weiwei is also one of the world's most prominent
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Merkow, an e-commerce security advisor with a global financial services company, and Breithaupt, a project manager with a brokerage firm, offer strategies and solutions for companies with an Internet
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內容介紹: 【世界發生劇變!銷售 AI 化勢在必行!】AI 議題已經講了好多年,然而絕大多數的企業仍然沿用老路子做生意,亂槍打鳥式的銷售方式也沒甚麼進步。然而時代不同了,既然有 AI 這個好工具為何不用?因為不懂不會所以不知該如何開始?眼睜睜看著 Google、Facebook 靠著 AI 化的銷售技術大賺特賺!其實,AI 不是大企業才能作,中小企業也可以,但不是全面做,而是挑選適合的做。最容易做到且很快就能換成實績的就是行銷、業務的銷售工作,只要利用自身累積的銷售與客戶等資料就行,讓 AI 自動找出其中隱藏的銷售密碼,並直接運用在工作中驗證,這就是本書的主軸:銷售 AI 化,讓機器學習來幫忙。【AI 不是打高空,要落實在工作中】許多工程師學了 AI 技術,卻不知道如何讓技術落地!其實開發以銷售為目的的 AI 並不需要高深的技術,只要用機器學習就能辦到。書中範例使用的都是真實企業產生的工作資料,例如要預測潛在客戶時,可讓 AI 從客戶職業、年齡與過去的銷售實績等資料自動學習,找出資料間的關係建出模型並做出預測,我們就可以對商品或客戶擬定策略去執行計畫。也可以依據過去幾年的每日銷量,考慮節假日的影響,利用 Facebook 提供的時間序列套件去預測未來一段時間的銷量等等。重要的商用實作範例包括:●銷售成交預測●銷量或來客數預測●季節週期性變化預測●推薦商品提案●根據客群制定銷售策略本書由世界 500 大企業 Accenture (埃森哲) 公司的 AI 集團資深總監親自執筆,規劃出開發 AI 專案的標準流程,從選擇適合引入工作中的 AI 開始,一路到訓練資料的取得、資料加工、選擇演算法及建立 AI 模型之後的評估與調整等 9 大步驟。即使沒有開發過 AI 專案經驗的人也不用擔心,只要跟著動手做,就能看到成果。書中的案例會實作監督式學習與非監督式學習中「分類」、「迴歸」、「時間序列」、「關聯分析」、「分群」、「降維」等各種演算法,讓讀者依照問題的類型選擇適用的處理模式。而且每個專案都不馬虎,從頭做到尾一遍一遍演練 SOP,將流程深深印入腦海,熟悉每個步驟之後才能順利應用到自己的專案。【邁向資料科學家之路】書中提供的所有 Python 程式都是可以運用在實務工作上的原型,每個人都可以利用這些原型建出自己想要的機器學習模型。了解如何從實務觀點建立 AI,藉由本
When Gregor falls through a grate in the laundry room of his apartment building, he hurtles into the dark Underland, where spiders, rats, and cockroaches coexist uneasily with humans. This world is on
Getting rich is not just about luck; happiness is not just a trait we are born with. These aspirations may seem out of reach, but building wealth and being happy are skills we can learn.So what are th
Some subjects are too interesting to be left at school! Carry on your love of geography and Earth sciences at home with Rocks & Minerals - an activity-packed exploration of the building blocks tha
This awesome LEGO® Star Wars™ book combines more than 50 inspirational LEGO building ideas with enthralling story starters. Get inspired to build, then play out your own adventures using your LEGO bri
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines Longlisted for the 2019 Financial Tim