AI Meets Bi: Artificial Intelligence and Business Intelligence

Bulusu, Lakshman, Abellera, Rosendo

AI Meets Bi: Artificial Intelligence and Business Intelligence

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商品描述

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations.

 

Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models.

 

The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making.

 

Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.

商品描述(中文翻譯)

隨著人工智慧（AI）在商業界的出現，商業智能（BI）迎來了一個新時代，利用分析創造真實世界的商業解決方案。BI開發人員和從業人員現在擁有工具和技術，可以創建系統和解決方案，以指導有效的決策。決策可以基於更可靠和準確的信息和智能進行，這可以為企業提供有價值的可行洞察。以前，BI專業人員受到糟糕或不完整的數據、架構不良的解決方案，甚至是無法使用的系統或資源的限制。隨著AI的出現，BI具有了新的有效性可能性。這對於從業人員和開發人員來說是一個期待已久的階段，更重要的是對於依賴於知識豐富和智能決策的企業的高管和領導者。

本書首先概述了在企業中實施BI的傳統方法以及BI如何演變為使用自助分析、數據探索和最近的AI。然後，它深入探討了各種類型的分析，並強調如何使用AI-enabled算法和深度學習模型來實現這些分析。

本書的核心是四個行業應用案例。它們描述了企業如何通過發現數據、定義關鍵指標、定義治理規則以及激活AI/ML建議的元數據，來訪問、評估和執行數據分析。通過使用各種AI-enabled機器學習和深度學習算法來解釋每個案例的具體實施細節，本書提供了每個實施的完整代碼，以及代碼的輸出，並輔以有助於BI-enabled決策的視覺材料。

最後，本書簡要討論了AI的認知計算方面，並展望了未來的趨勢，包括擴充分析、自動化和自主BI，以及AI驅動的BI的安全性和治理。

作者簡介

Lakshman Bulusu is a veteran IT professional and data scientist, with 28 years of experience in the IT industry. He has worked at major industry verticals in the retail, banking, pharma/health care, insurance, media, telecom, and education fields. He currently consults for a major banking client in the New York/New Jersey metropolitan area. He has expertise in RDBMS technologies, including Oracle(R), MS SQL Server, and Vertica and their related technologies. He is also well versed in the latest-and-greatest technologies such as artificial intelligence, data science, and business intelligence. Lakshman also serves as Vice President of Research at Qteria.com. When not at his job, he lectures at various technical schools, user group conferences and summits, and data science meetings. He also devotes his free time to writing poetry in English and in his native language, Telugu.

With a long and proven track record of success in the Business Intelligence (BI) industry throughout several decades, Rosendo Abellera is a subject matter expert and expert practitioner in business intelligence and analytics. As a career consultant, he has serviced numerous leading global commercial clients and major US government organizations. A strategist as well as a hands-on developer, he architected and implemented complete, holistic, and data-centric decision-making systems and solutions from the ground up-- from complex data warehouses for Revenue Recognition to advanced dashboards for Financial Analytics.

作者簡介(中文翻譯)

Lakshman Bulusu是一位資深的IT專業人員和數據科學家，擁有28年的IT行業經驗。他曾在零售、銀行、製藥/醫療保健、保險、媒體、電信和教育領域的主要行業垂直中工作。他目前為紐約/新澤西都會區的一家重要銀行客戶提供諮詢服務。他在關聯式數據庫管理系統（RDBMS）技術方面具有專業知識，包括Oracle(R)、MS SQL Server和Vertica及其相關技術。他也精通人工智能、數據科學和商業智能等最新技術。Lakshman還擔任Qteria.com的研究副總裁。在工作之餘，他在各種技術學校、用戶組會議和峰會以及數據科學會議上講學。他還利用空閒時間用英語和他的母語Telugu寫詩。

Rosendo Abellera在商業智能（BI）行業擁有長期且經過驗證的成功紀錄，是商業智能和分析領域的專家和實踐者。作為一名職業顧問，他為眾多全球領先的商業客戶和美國主要政府機構提供服務。作為一名策略家和實踐者，他從頭開始設計和實施完整、全面且以數據為中心的決策系統和解決方案，包括用於收入確認的複雜數據倉庫和用於財務分析的高級儀表板。

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