Overview

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.

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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.

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