Building Social Equity with AI

Validating User Transactions with AI
1. Auflage 2024
ISBN: 979-8-8688-0090-0
Verlag: Apress

Buch, Englisch, 258 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g

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 how AI 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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Banda, Raghu

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wirtschaftsethik, Unternehmensethik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter 1: Social Equity and it’s significance

Chapter Goal:

No of pages: 10

Sub -Topics

1. What is Social equity and why do you need it

2. How can you build Social equity into a changing world

3. What is the changing world order and how are user interactions contributing towards it

Chapter 2: Equality and Equity

Chapter Goal:

No of pages: 20

Sub - Topics

1. What is Equality and what is equity

2. How can you address equality and equity in the context of people, processes and technology

3. How can you recognize unsung heroes of social equity

Chapter 3: Human Science

Chapter Goal:

No of pages : 20

Sub - Topics:

1. What is Human science and how do you make it count

2. How to build social equity with human science

3. What are the current online tools and apps that indirectly measure your social behavior

Chapter 4: Networks and their Impacts

Chapter Goal:

No of pages: 30

Sub - Topics:

1. What are networks and how do they impact

2. How can you improve networks for better process outcomes

Chapter 5: Social Equity into Networks

Chapter Goal:

No of pages: 50

Sub - Topics:

1. What is a networked system

2. How to build connections for a lifetime

3. How to connect into the networks

4. How to get support from the networks

5. How to expand your networks

6. What are the different networking and alumnus tools available and how do they contribute

Chapter 6: Metrics and Measurements for Social Equity

Chapter Goal:

No of pages: 50

Sub - Topics:

1. What are the different online tools and apps that measure social interactions

2. How do you build social equity by connecting, supporting and expanding your networks

3. How to build social equity in any transaction

4. What are the different types of transactions

5. What are the different types of service weightage efforts

6. How do you review and rate a transaction

Chapter 7: Secret Sauce using AI

Chapter Goal:

No of pages: 20

Sub - Topics:

1. What is the secret sauce (crypto) in building the score and providing AI driven suggestions How to build connections for a lifetime

2. How do recommendations work with AI to improve social equity scores

3. What is the tool or the app that uses this secret sauce

Chapter 8: The way ahead

Chapter Goal:

No of pages: 10

Sub - Topics:

1. Social equity app with AI and the roadmap

2. How can you become a member

Über Autor(innen)

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” interacting with various guests on the topic of AI and ML.