The Executive's Guide to AI and Analytics: The Foundations of Execution and Success in the New World
暫譯: 高層管理者的AI與分析指南:新世界中執行與成功的基礎

Burk, Scott, Miner, Gary D.

  • 出版商: Productivity Press
  • 出版日期: 2022-06-06
  • 售價: $1,720
  • 貴賓價: 9.5$1,634
  • 語言: 英文
  • 頁數: 122
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 103200794X
  • ISBN-13: 9781032007946
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

The Problem? Companies are failing to deliver on AI and analytics with over half stating they are "not yet treating data as a business asset". Over half admit that they are not competing on data and analytics. Seven out of 10 companies in a 2020 MIT study reported minimal or no impact from AI so far. Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 (40%) report business gains from AI in the past three years. And only about 25% of organizations have actually forged this data-driven culture.

Is investment lacking? No. Companies now are spending more than ever in data, analytics, and AI technologies. 

Is it a lack of technology? No. There are fascinating breakthroughs occurring on all fronts with image, voice, and streaming pattern recognition on the forefront.  

Is it a lack of technical talent? Not really. While some studies cite that we need to train more data scientists, developers, and related professionals, the curve of demand by supply is dampening.

Is it a lack of creating an executable strategic plan? Yes. While there has been a lot of strategic wishing, organizations lack meaningful strategic plans. Specifically, the development of executable strategies and the leadership to see these strategies brought to fruition. This is the problem.

Lack of execution and lack of incorporating key components that align and enable execution of the business strategy to delivery is killing AI and analytics programs. Scott Burk and Gary D. Miner have written this book for executives at all levels who are charged with executing on analytics that need to address this issue. The book provides unique insights into repairing the gaps that programs need to fill to provide value from analytics programs. It complements their three-part series, It's All Analytics! by focusing on leadership decisions that augment data literacy, organizational architecture, and AI case studies.

商品描述(中文翻譯)

問題是什麼? 公司在人工智慧(AI)和分析方面未能達成目標,超過一半的公司表示他們「尚未將數據視為商業資產」。超過一半的公司承認他們在數據和分析方面並未競爭。在2020年麻省理工學院的一項研究中,七成的公司報告稱目前AI的影響微乎其微或沒有影響。在90%已經對AI進行了一定投資的公司中,少於兩成(40%)在過去三年中報告從AI中獲得商業收益。實際上,只有約25%的組織已經建立了這種以數據為驅動的文化。

投資不足嗎? 不。現在公司在數據、分析和AI技術上的支出比以往任何時候都要多。

缺乏技術嗎? 不。各方面都出現了令人興奮的突破,圖像、語音和串流模式識別處於最前沿。

缺乏技術人才嗎? 其實不是。雖然一些研究指出我們需要培訓更多的數據科學家、開發人員和相關專業人士,但需求與供應之間的差距正在縮小。

缺乏可執行的戰略計劃嗎? 是的。雖然有很多戰略上的期望,但組織缺乏有意義的戰略計劃。具體來說,就是缺乏可執行的策略的發展以及能夠將這些策略付諸實行的領導力。這就是問題所在。

缺乏執行和缺乏整合關鍵組件以對齊並促進商業策略的執行,正在扼殺AI和分析計劃。Scott Burk和Gary D. Miner為所有層級的高管撰寫了這本書,這些高管負責執行分析,並需要解決這個問題。這本書提供了獨特的見解,幫助填補計劃需要填補的空白,以從分析計劃中提供價值。它補充了他們的三部曲系列一切都是分析!,專注於增強數據素養、組織架構和AI案例研究的領導決策。

作者簡介

Scott Burk has been solving challenging business and health care problems for over 25 years. He has held a variety of executive and senior level positions in Engineering, Operations, Academia, IT, Finance, eCommerce, Sales and Marketing.

He is currently a thought leader and data scientist at TIBCO and has affiliations at multiple universities. Previously, he was Associate Vice Present and Chief Statistician at Baylor, Scott and White Health Plan and previously was Associate Executive Director of Information Systems (BI, DW and Quality) at Scott and White Healthcare System.

He was also Chief Statistician at Overstock.com, a Decision Science Manager for Texas Instruments, Senior Manager in Risk Modeling for PayPal, eBay as well as startups. He has held faculty positions at Texas A&M and Baylor University. His education includes MBA (The University of Texas at Dallas), MS in Data Mining (CCSU) and a PhD Statistics (Baylor University). Undergraduate in Chemistry and Biology (Texas State University).

Currently, in addition to TIBCO he teaches Predictive Analytics in the MS Data Science Program at CUNY. He is also on the faculty at University California Irvine in the Healthcare Analytics program. He resides with his wife and children in Central Texas.

He is a national presenter in healthcare quality and improving outcomes at conferences and symposia. He has written on analytics and data science topics, but has spend most of his time, "in the trenches applying techniques and listening to practitioners' problems and gaps." He has designed curriculum at Southern Methodist University (SMU) for Data Science in Finance and worked for Northwestern University.

Dr. Gary Miner received his B.S. from Hamline University, St. Paul, Minnesota with biology, chemistry and education majors; M.S. in Zoology & Population Genetics from the University of Wyoming, and his Ph.D. in Biochemical Genetics from the University of Kansas as the recipient of a NASA Pre-Doctoral Fellowship. During the doctoral study years, he also studied mammalian genetics at The Jackson Laboratory, Bar Harbor, ME, under a College Training Program on an NIH award; and another College Training Program at the Bermuda Biological Station, St. George's West, Bermuda in a Marine Developmental Embryology Course, on an NSF award; and a third College Training Program held at the University of California, San Diego at the Molecular Techniques in Developmental Biology Institute, again on an NSF award.

Following that he studied as a Post-Doctoral student at the University of Minnesota in Behavioral Genetics, where, along with research in schizophrenia and Alzheimer's Disease, he learned "how to write books" from assisting in editing two book manuscripts of his mentor, Irving Gottesman, Ph.D. (Dr. Gottesman returned the favor 41 years later by writing two tutorials for this PRACTICAL TEXT MINING book). After academic research and teaching positions, Dr. Miner did another two-year NIH-Post-Doctoral in Psychiatric Epidemiology and Biostatistics at the University of Iowa where he became thoroughly immersed in studying affective disorders and Alzheimer's Disease. All together he spent over 30 years researching and writing papers and books on the genetics of Alzheimer's Disease (Miner, G.D., Richter, R, Blass, J.P., Valentine, J.L, and Winters-Miner, Linda. FAMILIAL ALZHEIMER'S DISEASE: Molecular Genetics and Clinical Perspectives. Dekker: NYC, 1989; and Miner, G.D., Winters-Miner, Linda, Blass, J.P., Richter, R, and Valentine, J.L. CARING FOR ALZHEIMER'S PATIENTS: A Guide for Family & Healthcare Providers. Plenum Press Insight Books: NYC. 1989).

Over the years he held positions, including professor and chairman of a department, at various universities including The University of Kansas, The University of Minnesota, Northwest Nazarene University, Eastern Nazarene University, Southern Nazarene University, Oral Roberts University Medical School where he was Associate Professor of Pharmacology and Director of the Alzheimer Disease & Geriatric Disorders Research Laboratories, and even for a period of time in the 1990's was a visiting Clinical Professor of Psychology for Geriatrics at the Fuller Graduate School of Psychology & Fuller Theological Seminary in Pasadena, CA. In 1985 he and his wife, Dr. Linda Winters-Miner [author of several tutorials in this book] founded The Familial Alzheimer's Disease Research Foundation [aka "The Alzheimer's Foundation] which became a leading force in organizing both local and international scientific meetings and thus bringing together all the leaders in the field of genetics of AD from several countries, which then lead to the writing of the first scientific book on the genetics of Alzheimer's Disease; this book included papers by over 100 scientists coming out of the First International Symposium on the Genetics of Alzheimer's Disease held in Tulsa, OK in October, 1987. During part of this time he was also an Affiliate Research Scientist with the Oklahoma Medical Research Foundation located in Oklahoma City with the University of Oklahoma School of Medicine.

Dr. Miner was influential in bringing all of the world's leading scientists working on Genetics of AD together at just the right time when various laboratories from Harvard to Duke University and University of California-San Diego, to the University of Heidelberg, in Germany, and universities in Belgium, France, England and Perth, Australia were beginning to find "genes" which they thought were related to Alzheimer's Disease. During the 1990's Dr. Miner was appointed to the Oklahoma Governor's Task Force on Alzheimer's Disease, and also Associate Editor for Alzheimer's Disease for THE JOURNAL OF GERIATRIC PSYCHIATRY & NEUROLOGY, which he still serves on to this day. By 1995 most of these dominantly inherited genes for AD had been discovered, and the one that Dr. Miner had been working on since the mid-1980's with the University of Washington in Seattle was the last of these initial 5 to be identified, this gene on Chromosome 1 of the human genome. At that time, having met the goal of finding out some of the genetics of AD, Dr. Miner decided to do something different, to find an area of the business world, and since he had been analyzing data for over 30 years, working for StatSoft, Inc. as a Senior Statistician and Data Mining Consultant seemed a perfect "semi-retirement" career.

Interestingly (as his wife had predicted), he discovered that the "business world" was much more fun than the "academic world", and at a KDD-Data Mining meeting in 1999 in San Francisco, he decided that he would specialize in "data mining". As Gary delved into this new "data mining" field, and looked at statistics text books in general, he saw the need for 'practical statistical books' and started writing chapters and organizing various outlines for different books.

作者簡介(中文翻譯)

斯科特·伯克(Scott Burk)在解決商業和醫療保健的挑戰性問題方面已有超過25年的經驗。他曾在工程、運營、學術、資訊科技、金融、電子商務、銷售和市場營銷等多個領域擔任高級管理職位。

目前,他是TIBCO的思想領袖和數據科學家,並與多所大學有合作關係。之前,他曾擔任貝勒·斯科特與懷特健康計劃的副總裁兼首席統計師,並曾擔任斯科特與懷特醫療系統的資訊系統(商業智慧、數據倉儲和質量)副執行董事。

他還曾擔任Overstock.com的首席統計師,德州儀器的決策科學經理,PayPal和eBay的風險建模高級經理,以及多家初創公司的高級經理。他曾在德州農工大學和貝勒大學擔任教職。他的學歷包括德克薩斯大學達拉斯分校的MBA、中央康乃狄克州州立大學的數據挖掘碩士學位,以及貝勒大學的生物化學遺傳學博士學位。大學時期主修化學和生物學(德州州立大學)。

目前,除了在TIBCO工作外,他還在CUNY的數據科學碩士課程中教授預測分析。他也是加州大學爾灣分校醫療分析課程的教職人員。他與妻子和孩子居住在德克薩斯州中部。

他是全國性會議和研討會上有關醫療質量和改善結果的演講者。他曾撰寫有關分析和數據科學的主題,但大部分時間都在“實地應用技術並傾聽從業者的問題和差距”。他曾在南方衛理公會大學(SMU)設計金融數據科學的課程,並在西北大學工作。

加里·邁納博士(Dr. Gary Miner)在明尼蘇達州聖保羅的哈姆林大學獲得生物學、化學和教育專業的學士學位;在懷俄明大學獲得動物學與種群遺傳學碩士學位,並在堪薩斯大學獲得生化遺傳學博士學位,並獲得NASA的博士前獎學金。在博士學習期間,他還在美國梅因州巴哈伯的傑克遜實驗室研究哺乳動物遺傳學,並參加了國立衛生研究院的學院培訓計劃;以及在百慕達聖喬治西的百慕達生物站參加海洋發育胚胎學課程的學院培訓計劃,並獲得國家科學基金會的獎助;還有在加州大學聖地牙哥分校的發育生物學分子技術研究所參加的第三個學院培訓計劃,同樣獲得國家科學基金會的獎助。

隨後,他在明尼蘇達大學作為行為遺傳學的博士後研究生,除了研究精神分裂症和阿茲海默症外,他還從協助編輯他的導師歐文·戈特斯曼(Irving Gottesman)博士的兩本書手稿中學會了“如何寫書”。在學術研究和教學職位之後,邁納博士在愛荷華大學進行了為期兩年的國立衛生研究院精神流行病學和生物統計學的博士後研究,深入研究情感障礙和阿茲海默症。總的來說,他花了超過30年的時間研究和撰寫有關阿茲海默症遺傳學的論文和書籍(Miner, G.D., Richter, R, Blass, J.P., Valentine, J.L, 和 Winters-Miner, Linda. 《家族性阿茲海默症:分子遺傳學與臨床觀點》。Dekker: NYC, 1989; 以及Miner, G.D., Winters-Miner, Linda, Blass, J.P., Richter, R, 和 Valentine, J.L. 《照顧阿茲海默症患者:家庭和醫療提供者指南》。Plenum Press Insight Books: NYC. 1989)。

多年來,他在多所大學擔任教授和系主任等職位,包括堪薩斯大學、明尼蘇達大學、西北納撒尼大學、東納撒尼大學、南方納撒尼大學、奧拉羅伯茨大學醫學院,擔任藥理學副教授和阿茲海默症與老年疾病研究實驗室主任,甚至在1990年代期間,曾在加州帕薩迪納的富勒心理學研究生院和富勒神學院擔任老年心理學的訪問臨床教授。1985年,他和妻子琳達·溫特斯·邁納博士(Dr. Linda Winters-Miner,這本書中幾個教程的作者)創立了家族性阿茲海默症研究基金會(又名“阿茲海默症基金會”),該基金會成為組織本地和國際科學會議的主要力量,將來自多個國家的阿茲海默症遺傳學領域的領導者聚集在一起,這導致了第一本有關阿茲海默症遺傳學的科學書籍的撰寫;這本書包括來自1987年10月在俄克拉荷馬州塔爾薩舉行的第一屆國際阿茲海默症遺傳學研討會的100多位科學家的論文。在這段時間內,他還曾擔任位於俄克拉荷馬市的俄克拉荷馬醫學研究基金會的附屬研究科學家,並與俄克拉荷馬大學醫學院合作。

邁納博士在正確的時機將全世界領先的阿茲海默症遺傳學科學家聚集在一起,當時哈佛大學、杜克大學、加州大學聖地牙哥分校、德國海德堡大學以及比利時、法國、英國和澳大利亞珀斯的多個大學開始發現他們認為與阿茲海默症相關的“基因”。在1990年代,邁納博士被任命為俄克拉荷馬州州長的阿茲海默症工作小組,並擔任《老年精神病學與神經學期刊》(THE JOURNAL OF GERIATRIC PSYCHIATRY & NEUROLOGY)的阿茲海默症副編輯,至今仍在任。到1995年,大多數這些顯性遺傳的阿茲海默症基因已被發現,而邁納博士自1980年代中期以來與西雅圖的華盛頓大學合作的基因是最後一個被識別的這五個基因之一,該基因位於人類基因組的第1號染色體上。當時,邁納博士在了解阿茲海默症的一些遺傳學目標後,決定做些不同的事情,尋找商業世界的一個領域,因為他已經分析數據超過30年,於是為StatSoft, Inc.擔任高級統計師和數據挖掘顧問似乎是一個完美的“半退休”職業。

有趣的是(正如他的妻子所預測的),他發現“商業世界”比“學術世界”有趣得多,在1999年舉行的KDD數據挖掘會議上,他決定專注於“數據挖掘”。隨著加里深入這個新的“數據挖掘”領域,並查看統計學教科書,他看到了“實用統計書籍”的需求,並開始撰寫章節和組織不同書籍的各種大綱。

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