商品描述
Did you ever think that the way you interact with other human beings, entities, and organizations can be measured for building a harmonious society? In this age of user verification and user validation, AI will fine-tune these interactions and transactions to build a socially equitable world. This book reveals that social equity is not only what you get from society, but also what you give to it.
You'll explore the concepts and intricacies of this mutually built phenomenon. The book then and focuses on creating social equity awareness and details how AI can help in the process. Regular enterprises, consumer-oriented companies, and social media companies all capture data in regular interactions and use this information in various ways. You'll learn how this information is being leveraged and explore how social equity can thrive when all this information is analyzed and measured.
Building Social Equity with AI highlights the subtle nuances of social equity and howAI can create more awareness towards it, thus improving your business or organization.
What You'll Learn
- Understand how social equity affects all business and industry professionals
- Build social equity into a changing world
- See how AI and GenAI stand out as transformative forces
- Integrate social equity into network structures
- Address equality and equity in the context of people, processes, and technology
- Work with AI to improve social equity scores
Who This Book Is For
Small-medium business owners and users, consultants, education specialists, career coaches, data engineers, and social workers who want to leverage AI to gain social equity for either their business or personal life.
商品描述(中文翻譯)
你是否曾經想過，你與其他人類、實體和組織互動的方式可以被衡量，以建立一個和諧的社會？在這個用戶驗證和用戶確認的時代，人工智慧將微調這些互動和交易，以建立一個社會公平的世界。本書揭示了社會公平不僅是你從社會中獲得的東西，也是你對社會所付出的。
你將探索這一相互構建現象的概念和複雜性。接著，本書專注於創造社會公平意識，並詳細說明人工智慧如何在這一過程中提供幫助。一般企業、以消費者為導向的公司和社交媒體公司都在日常互動中捕捉數據，並以各種方式使用這些信息。你將了解這些信息是如何被利用的，並探索當所有這些信息被分析和衡量時，社會公平如何蓬勃發展。
《用人工智慧建立社會公平》突顯了社會公平的微妙差異，以及人工智慧如何提高對其的認識，從而改善你的業務或組織。
你將學到的內容：
- 了解社會公平如何影響所有商業和行業專業人士
- 在變化的世界中建立社會公平
- 看到人工智慧和生成式人工智慧如何成為變革力量
- 將社會公平整合進網絡結構
- 在人員、流程和技術的背景下處理平等與公平
- 與人工智慧合作以改善社會公平評分
本書適合對象：
小型和中型企業的擁有者和用戶、顧問、教育專家、職業教練、數據工程師和社會工作者，想要利用人工智慧為他們的業務或個人生活獲得社會公平。
作者簡介
Raghu Banda is a senior director of AI product strategy at SAP Labs, where he is responsible for infusing AI technologies into their Cloud ERP product - SAP S/4HANA. He began his career as a software developer and architect in India before moving to the US in 1997. He joined with SAP in 2001 and worked in various roles such as engineering development, customer support and implementations, product marketing, and product management. He has worked with predictive analytics and machine learning since SAP entered this arena in 2012. He holds a Bachelor of Science in computer science and engineering and recently graduated from the prestigious INSEAD business school in Global Leadership and International Management. He is the lead product manager for defining the AI strategy and designing embedded AI at SAP.
He co-authored a book on "Implementing Machine Learning with SAP S/4HANA" during the covid pandemic and runs a podcast "XTrawAI: Machine Learning and AI applications" interactingwith various guests on the topic of AI and ML.
作者簡介(中文翻譯)
Raghu Banda 是 SAP Labs 的 AI 產品策略高級總監，負責將 AI 技術融入他們的雲端 ERP 產品 - SAP S/4HANA。他的職業生涯始於印度，擔任軟體開發人員和架構師，並於 1997 年移居美國。他於 2001 年加入 SAP，並在工程開發、客戶支持與實施、產品行銷和產品管理等多個角色中工作。自 2012 年 SAP 進入預測分析和機器學習領域以來，他一直在這方面工作。他擁有計算機科學與工程的理學士學位，並最近從享有盛譽的 INSEAD 商學院畢業，專攻全球領導力與國際管理。他是定義 AI 策略和設計嵌入式 AI 的首席產品經理。
在 COVID 疫情期間，他共同撰寫了一本名為《使用 SAP S/4HANA 實施機器學習》的書籍，並主持一個名為「XTrawAI: 機器學習與 AI 應用」的播客，與各位嘉賓互動，討論 AI 和 ML 的主題。
